Skip to main content
Advertisement

Main menu

  • Home
  • Content
    • Current Issue
    • Publication Preview--Ahead of Print
    • Past Issue Archive
    • Case of the Week Archive
    • Classic Case Archive
    • Case of the Month Archive
    • COVID-19 Content and Resources
  • For Authors
    • Author Policies
    • Manuscript Submission Guidelines
  • About Us
    • About AJNR
    • American Society of Neuroradiology
  • Submit a Manuscript
  • Podcasts
    • Podcasts
    • Subscribe on iTunes
  • More
    • Subscribers
    • Permissions
    • Advertisers
    • Alerts
    • Feedback

User menu

  • Subscribe
  • Alerts
  • Log in

Search

  • Advanced search
American Journal of Neuroradiology
American Journal of Neuroradiology

American Journal of Neuroradiology

  • Subscribe
  • Alerts
  • Log in

Advanced Search

  • Home
  • Content
    • Current Issue
    • Publication Preview--Ahead of Print
    • Past Issue Archive
    • Case of the Week Archive
    • Classic Case Archive
    • Case of the Month Archive
    • COVID-19 Content and Resources
  • For Authors
    • Author Policies
    • Manuscript Submission Guidelines
  • About Us
    • About AJNR
    • American Society of Neuroradiology
  • Submit a Manuscript
  • Podcasts
    • Podcasts
    • Subscribe on iTunes
  • More
    • Subscribers
    • Permissions
    • Advertisers
    • Alerts
    • Feedback
  • Follow AJNR on Twitter
  • Visit AJNR on Facebook
  • Follow AJNR on Instagram
  • Join AJNR on LinkedIn
  • RSS Feeds
Research ArticleFunctional
Open Access

American Society of Functional Neuroradiology–Recommended fMRI Paradigm Algorithms for Presurgical Language Assessment

D.F. Black, B. Vachha, A. Mian, S.H. Faro, M. Maheshwari, H.I. Sair, J.R. Petrella, J.J. Pillai and K. Welker
American Journal of Neuroradiology October 2017, 38 (10) E65-E73; DOI: https://doi.org/10.3174/ajnr.A5345
D.F. Black
aFrom the Mayo Clinic (D.F.B., K.W.), Rochester Minnesota
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for D.F. Black
B. Vachha
bMemorial Sloan Kettering Cancer Center (B.V.), New York, New York
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for B. Vachha
A. Mian
cBoston University School of Medicine (A.M.), Boston, Massachusetts
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for A. Mian
S.H. Faro
dJohns Hopkins University School of Medicine and the Johns Hopkins Hospital (S.H.F., H.I.S., J.J.P.), Baltimore, Maryland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for S.H. Faro
M. Maheshwari
eChildren's Hospital of Wisconsin (M.M.), Milwaukee, Wisconsin
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for M. Maheshwari
H.I. Sair
dJohns Hopkins University School of Medicine and the Johns Hopkins Hospital (S.H.F., H.I.S., J.J.P.), Baltimore, Maryland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for H.I. Sair
J.R. Petrella
fDuke University School of Medicine, (J.R.P.) Durham, North Carolina.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for J.R. Petrella
J.J. Pillai
dJohns Hopkins University School of Medicine and the Johns Hopkins Hospital (S.H.F., H.I.S., J.J.P.), Baltimore, Maryland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for J.J. Pillai
K. Welker
aFrom the Mayo Clinic (D.F.B., K.W.), Rochester Minnesota
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for K. Welker
  • Article
  • Figures & Data
  • Info & Metrics
  • References
  • PDF
Loading

Abstract

INTRODUCTION: Functional MR imaging is increasingly being used for presurgical language assessment in the treatment of patients with brain tumors, epilepsy, vascular malformations, and other conditions. The inherent complexity of fMRI, which includes numerous processing steps and selective analyses, is compounded by institution-unique approaches to patient training, paradigm choice, and an eclectic array of postprocessing options from various vendors. Consequently, institutions perform fMRI in such markedly different manners that data sharing, comparison, and generalization of results are difficult. The American Society of Functional Neuroradiology proposes widespread adoption of common fMRI language paradigms as the first step in countering this lost opportunity to advance our knowledge and improve patient care.

LANGUAGE PARADIGM REVIEW PROCESS: A taskforce of American Society of Functional Neuroradiology members from multiple institutions used a broad literature review, member polls, and expert opinion to converge on 2 sets of standard language paradigms that strike a balance between ease of application and clinical usefulness.

ASFNR RECOMMENDATIONS: The taskforce generated an adult language paradigm algorithm for presurgical language assessment including the following tasks: Sentence Completion, Silent Word Generation, Rhyming, Object Naming, and/or Passive Story Listening. The pediatric algorithm includes the following tasks: Sentence Completion, Rhyming, Antonym Generation, or Passive Story Listening.

DISCUSSION: Convergence of fMRI language paradigms across institutions offers the first step in providing a “Rosetta Stone” that provides a common reference point with which to compare and contrast the usefulness and reliability of fMRI data. From this common language task battery, future refinements and improvements are anticipated, particularly as objective measures of reliability become available. Some commonality of practice is a necessary first step to develop a foundation on which to improve the clinical utility of this field.

ABBREVIATIONS:

AG
Antonym Generation
ASFNR
American Society of Functional Neuroradiology
BOLD
blood oxygen level–dependent
CVR
cerebrovascular reactivity
ECS
electrocortical stimulation
NVU
neurovascular uncoupling
ON
Object Naming
LI
laterality index
PSL
Passive Story Listening
SC
Sentence Completion
SWG
Silent Word Generation

The use of fMRI in the presurgical assessment of language function, especially in patients with brain tumors, vascular malformations, or epilepsy, has become standard throughout numerous institutions in North America, Europe, and other parts of the world, and the reliance on this technology is increasing.1 fMRI offers a valuable noninvasive means of assessing language function lateralization and localization, which complements, or in some cases, obviates intraoperative electrocortical stimulation (ECS) mapping.2,3 The Organization of Human Brain Mapping Committee on Best Practice in Data Analysis and Sharing has recently published a white paper that addresses fMRI research reproducibility through transparency of trial design, tools used for data manipulation, and reporting.4

Beyond research reporting standards, the American Society of Functional Neuroradiology (ASFNR) perceives the need for increased standardization in clinical practice in an attempt to enhance the communicability of how we assess our patients and the meaningfulness of our imaging findings and reports. Functional MR imaging involves numerous processing steps, which vary among manufacturers of fMRI systems, and this complexity is compounded by institution-unique methods for patient training, paradigm choice, and postprocessing. Data sharing is necessary for research integrity and scientific transparency, but current practice variability obscures reproducibility and hinders adequate interinstitutional sharing of information. This widespread variability thereby limits collective progression, particularly in the presurgical assessment of language function—one of the most important applications of fMRI in clinical practice.

Since April 2013, the ASFNR has hosted a monthly teleconference in which clinical fMRI practitioners from across North America have presented presurgical mapping cases from their various practices for educational purposes. This recurring teleconference has highlighted the existing practice variability between institutions. However, it has also offered a regularly occurring, accessible line of communication that has provided impetus for converging practice parameters with a view toward enhanced validation of imaging methodologies, data sharing, and knowledge growth. Consequently, the ASFNR Clinical Practice Committee decided that to strengthen the value of preoperative fMRI language assessment, an ASFNR-approved set of standardized language paradigms should be developed.

Because language can be represented across phonologic, orthographic, semantic, pragmatic, and discourse dimensions and 1 task cannot simultaneously activate all of these aspects, multiple tasks are recommended to provide a more sensitive and specific map of language function that will aid in surgical planning.5,6 There are a number of desirable features for a standardized fMRI task battery: 1) The ideal fMRI language task paradigm set needs to be appropriately challenging for the patient to produce ample activation without being so difficult as to overwhelm a neurologically compromised or otherwise challenged individual; 2) the tasks need to provide an appropriate balance of sensitivity and specificity for language-related activation; and 3) there needs to be the ability to provide both reliable interhemispheric language lateralization as well as intrahemispheric localization of both expressive and receptive language sites, such as the Broca or Wernicke area, with respect to intracerebral lesions.

Language Paradigm Review Process

Members of an ASFNR Language Paradigm Taskforce were invited to join this project following discussions with the ASFNR Clinical Practice Committee and Executive Committee in an attempt to form a group of interested participants with expertise in the field, a historical perspective of how fMRI has evolved to its current state, and insight into how fMRI must continue to change to further the field.

As a first step, the members of the taskforce discussed their own institution's paradigm choices, practice parameters, and the value of combining results from multiple paradigms. From these discussions, project goals and scope were distilled, including the concept of deriving standardized recommendations that all institutions would hopefully adopt. Initially, the group decided to limit the first iteration of standard paradigms to visually presented paradigms for adult patients with a seventh-grade-equivalent or greater reading ability. Subsequently, it became clear that there was a clinical need to address the pediatric population and adults with limited reading ability, and recommendations for these populations were assessed and developed.

The entire ASFNR membership was polled as to how many language-assessment fMRIs per month were performed at their various institutions to determine the most commonly used language paradigms. The poll attempted to gauge the willingness of ASFNR members to adopt a common set of language paradigms. Poll results were assessed by the taskforce, and an attempt was made to balance current practice preferences across the nation with evidence-based data regarding the variable strengths and weaknesses of various language paradigms. The goal was to choose complementary paradigms that would be reasonably applicable to the greatest number of patients. By balancing current practice and scientific evidence, we hoped to motivate adoption of the standardized task battery by making the required change as simple as possible for the practicing members of the society while at the same time being guided by the scientific evidence. This goal necessitated a literature review for each of the most commonly used language paradigms.

Two-hundred fifty-nine requests for surveys were sent out with 6 e-mail addresses failing. Fifty-three of 253 responded (21%). Figure 1 depicts the number of fMRIs performed per month for language assessment at different institutions. Fifty-seven percent (30/53) of the responders reported being very likely to adopt language paradigm algorithms, and only 8% (4/53) reported being unlikely to adopt ASFNR recommendations (Fig 2).

Fig 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig 1.

fMRIs performed per month for language assessment at different institutions (about one-third of responders do 6+ per month).

Fig 2.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig 2.

Fifty-seven percent (30/53) of responders reported being very likely to adopt language paradigm algorithms, and only 8% (4/53) reported being unlikely to adopt ASFNR recommendations.

Results of the ASFNR poll produced 3 tiers of commonly used paradigms across the nation (Fig 3). In the poll, Silent Word Generation (SWG) and Sentence Completion (SC) stood out as the most frequently employed tasks while Verb Generation, Object Naming, Rhyming, and Reading Comprehension seemed to coalesce in a second-tier group. Because SWG and SC were the most commonly used paradigms and also had support in the literature for being reliable and useful, these tasks were favored to form the core of the standard language task battery. However, because a combination of language paradigms has been shown to increase sensitivity and specificity, a third task was considered desirable.7,8 Nevertheless, converging on a single choice for that third task proved to be more difficult because the taskforce wanted to maintain flexibility for the radiologist to tailor an examination to the patient's specific clinical scenario.9,10

Fig 3.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig 3.

The most commonly used language paradigms were sorted into 3 tiers with the total number of imagers by using the paradigms represented on the y-axis. The first tier included SWG and Sentence Completion. The second tier included Verb Generation, Object Naming, Rhyming, and Reading Comprehension. The third tier included Antonym Generation, Semantic Decision, Noun-Verb Semantic Association, Category Naming, and other.

Once the paradigm recommendations were decided upon, the taskforce then converged on the specific scanning parameters and stimuli for the paradigms such that the tasks would be vendor-neutral.

ASFNR Recommendations

Following an analysis of the poll results as well as literature review regarding each of the paradigm tasks mentioned in the poll, the ASFNR taskforce developed language algorithms for both adults and pediatric subjects (Figs 4 and 5).

Fig 4.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig 4.

Adult algorithm for presurgical language fMRI.

Fig 5.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig 5.

Pediatric algorithm for presurgical language fMRI.

The default adult algorithm includes SC, SWG, and Rhyming. However, to satisfy the need to customize the analysis to the specific clinical scenario, the radiologist may choose to drop Rhyming and repeat the SC or SWG task as a means of confirming and correlating activations between time courses. SC most often offers more robust language area activation than SWG; thus, it would be the most appropriate task to repeat. In patients who may have difficulty adequately performing the SC or SWG tasks, the radiologist may choose either the Object Naming (ON) or Passive Story Listening (PSL) tasks. This also allows customization in that ON is primarily an expressive task and PSL is primarily receptive.

The default pediatric algorithm includes SC, Rhyming, and Antonym Generation (AG), but for those patients unable to adequately perform Rhyming, the PSL task should be used instead. In general, this pediatric algorithm should apply to most patients 5–11 years of age, but each patient's ability to adequately perform tasks should be assessed before the scan.

In addition to the language-specific tasks, breath hold fMRI may enhance the fMRI language task battery by identifying areas of potentially false-negative activation. By elevating blood carbon dioxide levels, a breath hold task measures cerebrovascular reactivity throughout the brain. It can therefore help demonstrate potential neurovascular uncoupling or confounding susceptibility artifacts as regions of absent or reduced blood oxygen level–dependent (BOLD) signal in response to breath holding, thereby clarifying regions of false-negative language activation. Due to atypical postprocessing requirements for this task, inclusion of the breath holding task is not considered to be a required component of the language task battery but is nonetheless recommended if available at an institution, to assess potential loss of sensitivity to the BOLD signal, which would influence the confidence level of the interpretation.

Discussion

We have generated an adult and a pediatric algorithm to be used as the standard paradigms for presurgical language fMRI assessment (Figs 4 and 5). The scanning parameters for each of these tasks are listed in the Appendix. The ASFNR contends that all institutions should be performing the same paradigms because disparity of practice limits progress in the field and converging clinical practice is necessary to ensure that we all provide the best possible care to our patients. The following sections provide a brief review of each of these tasks, and the Table summarizes individual task utilities.

View this table:
  • View inline
  • View popup

Summary of individual task usefulness

Sentence Completion Task

The Sentence Completion language task is one of the many language paradigms that can be used for language localization and hemispheric lateralization for identifying the primary language cortex. SC is a semantic language paradigm that is effective in activating the superior temporal gyrus in the Wernicke area.11 SC can also activate the Broca area in the dominant hemisphere because the task requires both receptive and expressive language processing, though activation of Broca is slightly less robust than in Wernicke.11 Additionally, the pattern of activation with SC is less lateralized to Broca compared with SWG because of involvement of the homologous right hemisphere in speech-comprehension tasks, which invoke executive processing.7,12 Since verbal comprehension tasks such as SC involve visual processing, activation of the ventral language stream, including the visual word form area, can also be seen.13,14 SC has been found to produce increased activation in both temporal and frontal regions compared with a word generation task, suggesting more robust activation of language networks because it combines language comprehension as well as production in a naturalistic fashion.15

The control task for SC uses gibberish sentences devoid of the semantic, syntactic, and lexicalization demands that are present in the active task.

Silent Word Generation Task

Silent Word Generation is a commonly applied clinical language fMRI paradigm for presurgical mapping with extensive comparisons with Wada testing.11,14,16⇓⇓–19

Like most word generation paradigms, SWG tasks activate mainly frontal lobe language and cognitive support areas but are less consistent activators of temporal language regions.11,14,19,20 Specifically, SWG tasks yield reliable activation of the inferior frontal gyrus, dorsolateral prefrontal cortex, and superior frontal gyrus, with variable activation in the anterior cingulate gyrus, presupplementary motor area, and inferior, middle, and superior temporal gyri.14,16,17,21,22

Several studies have validated the SWG paradigm for both language lateralization and localization.21⇓⇓⇓⇓–26 For example, Yetkin et al23 reported 100% sensitivity of fMRI by using a SWG task for activation within 20 mm of the electrically stimulated cortical site during ECS and 86% sensitivity within 10 mm in a mixed series of 28 patients with predominantly epilepsy (n = 22) and cerebral lesions. Brannen et al24 studied the reliability, precision, and accuracy of word generation tasks in mapping the Broca area in 34 patients with cerebral lesions by comparing regions of activation with awake (ECS) mapping of speech function during craniotomy. They noted that SWG tasks activated Brodmann areas 44 or 46 either individually or both unilaterally or bilaterally in most patients in the series with variable activation of Brodmann areas 9 and 45. Activation was noted in the same gyri when the patient performed a second iteration of the SWG task, and speech areas located with ECS coincided with areas of the brain activated with the SWG task. Comparing hemispheric language dominance by using an SWG task with results of Wada testing in a large series of 100 patients with epilepsy, Woerman et al27 found 91% concordance between both tests. Similarly, Sabbah et al21 demonstrated that fMRI language lateralization based on the SWG was concordant with the Wada test in 19 of 20 patients with intractable partial epilepsy.

Pillai's group compared the localization (as locally detectable statistically significant percentage signal change) and lateralization among 5 language paradigms: SWG, Sentence Completion, Visual Antonym Pair, Auditory Antonym Pair, and Noun-Verb Association in 5 ROIs: inferior frontal gyrus, middle frontal gyrus, and superior frontal gyrus for expressive language activation; and middle temporal gyrus and superior temporal gyrus for receptive language activation in a group of 12 healthy volunteers.14 The results of this study found that SWG was the most robust paradigm for language localization and the most effective for determining language lateralization in the expressive ROIs of the dominant language hemisphere. In contrast, the analysis of patterns of activation in the receptive ROIs in the temporal gyri demonstrated a weaker BOLD percentage signal change for SWG tasks in both hemispheres when compared with the other 4 paradigms that include some form of language comprehension in the active blocks of the paradigm, which are localized in the angular and middle temporal gyri.28

A typical control used for the SWG task employs nonsense symbols without the phonemic fluency-processing demands of the active task.

Rhyming Task

Rhyming is considered a phonologic task that has been shown to robustly activate the Broca area in the dominant hemisphere.17 Rhyming also activates the Wernicke area though not as strongly as seen in Broca.11 In addition to the above regions, Rhyming has been shown to activate the inferior parietal lobule, the dorsolateral prefrontal cortex, and posterior lateral gyrus.29 Rhyming and SWG are the 2 paradigms found to be most helpful for language lateralization compared with Sentence Completion and Noun-Verb Association.11 As with Sentence Completion, there is activation of the posterior temporo-occipital regions due to involvement of the visual processing pathways.13

Studies comparing the relative effectiveness of different commonly used expressive and receptive language paradigms by using both threshold-independent and threshold-dependent methods in patients with brain tumors demonstrated that SWG and Rhyming were more helpful for language lateralization than SC or Noun-Verb Association.11,19 The Rhyming task has several advantages over the SWG task: It results in more specific activation of language areas than SWG, has a higher mean laterality index (LI) value, and is less threshold-dependent than SWG for determining the LI.11,17,19 Nevertheless, both SWG and Rhyming demonstrate adequate language lateralization, even in a subgroup of patients with brain tumors located in the left hemisphere and in the frontal or parietal lobes.19 This has clinical implications since the presence of susceptibility artifacts or neurovascular uncoupling associated with tumors in the dominant hemisphere could affect the strength of the BOLD signal.

The control task most often employs nonsense symbols wherein the patient is asked whether 2 sets of symbols are oriented in the same fashion, which allows monitoring of the patient's attention and task engagement without stimulating phonologic processing like the active task.

Object Naming Task

Simple Object Naming is an expressive language paradigm in which the subject is shown an object and is asked to silently name the presented object.30⇓–32 The control block consists of a nonsense symbol to exclude the visual component from the activation maps. The objects are presented in black and white.

ON tasks yield activation in the inferior frontal gyrus, middle frontal gyrus, and ventral occipitotemporal cortex, with variable activation in the posterior temporoparietal cortex.30,31,33,34 Several studies have validated the ON paradigm for both language lateralization and localization.8,19,31,34⇓–36 For example, Rutten et al8 reported that a combination of 3 different fMRI language tasks (ON, Verb Generation, and Sentence Processing) were able to localize critical language areas with 100% sensitivity and 61% specificity when compared with ECS mapping in a group of patients with epilepsy. Similarly, Hirsch et al31 demonstrated 100% concordance of localization between fMRI and ECS when using ON and word-listening tasks in neurosurgical candidates, most of whom had brain tumors,36 and Pouratian et al35 demonstrated 100% sensitivity and 67% specificity for frontal language regions when correlating ECS mapping and fMRI in patients with vascular malformations who performed Object Naming, Word Generation, and auditory-response naming tasks.

Although ON provides relatively good localization predominantly of frontal language regions, the general consensus is that the activation pattern associated with ON does not allow as effective hemispheric language lateralization as with other expressive language paradigms such as SWG, Verb Generation, and Rhyming.19,34 Moreover, like other covert paradigms, the ON task does not allow monitoring of patient responses. Despite these limitations, the ON task is easy for most patients to perform and is therefore often utilized in patients with cognitive impairment or pediatric patients, and it is frequently used during intraoperative cortical stimulation.

Antonym Generation Task

This word generation paradigm typically presents the patient with 1 word at a time, and the patient is asked to silently think of the word that means the opposite. Typically, during each activity period, 5–10 words are sequentially presented on the screen, and during the rest period, a black blank screen is presented with a white crosshair in the center for visual fixation.

This paradigm stimulates phonologic, working memory, lexical search, semantic, and orthographic processes of the speech and language system. Functional maps typically demonstrate activation in the inferior frontal gyrus, middle frontal gyrus, premotor cortex, and frequently posterior peri-Sylvian speech areas (posterior aspect of the superior temporal lobe, supramarginal and angular gyri). Frequent weak activation is also seen in the posterior aspect of the inferior temporal lobe, possibly due to engagement of the visual word form systems.37⇓⇓–40 Because there is no control for visual sensory processing during the resting phase, frequently, bilateral primary visual cortex activation is also seen.

The Antonym Generation task is reported to provide a higher percentage BOLD signal change in the Broca area (versus baseline) compared with the Antonym Decision task (versus baseline).41 It is reported that activation of the speech areas and speech lateralization in the various Word Generation tasks (letter, category, antonym word generation) is comparable.42 However, in our experience with pediatric patients, the Antonym Generation paradigm does much better in terms of the extent of activation in the speech areas and patient compliance versus letter Word Generation tasks; thus, SWG was not included in the pediatric algorithm. One of the limitations of this paradigm is that given the design, it is difficult to assess patient performance.

Passive Story Listening Task

Passively listening to an aurally presented story involves multiple aspects of language function, including syntactic processing and word recognition. This task offers the advantage of being relatively easy to accomplish for young children or adults whose functional impairments limit their ability to adequately partake in more complex language paradigms.

Passive Story Listening has been shown in pediatric populations to produce activation in the bilateral superior temporal gyrus, bilateral superior frontal gyrus, and left posterior superior temporal gyrus.43⇓⇓–46 The ease of performing PSL in young or impaired adult patients must be balanced with the lack of a task performance metric and its relatively weak language activation. There is no way to know if the patient is actually listening and attending to the story during the scan, but patients may be asked to recount the stories they heard following the scan as an indirect means of assessing compliance.

Scanner noise can impede the quality and magnitude of language activation during aurally presented tasks.47 Vannest et al48 compared similar PSL and active-response tasks and found that both produced language activation in similar patterns of the frontal and temporal lobes but the active-response task produced more dorsolateral prefrontal activation, likely due to engagement of working memory and attention during the comprehension questions. No significant difference in hemispheric lateralization was observed. Although adding an active-response component increased memory and attention engagement as well as effect size in the left inferior frontal gyrus, we chose the simpler version of this task because it still provides adequate activation and lateralization of language function while applying to the greatest range of children and/or impaired adult patients. The control task typically involves reversed playback of the same story to remove semantic processing from the sounds presented or simply playing tones.

Breath Hold Task

One task that may be performed for quality control purposes as part of standard clinical presurgical mapping fMRI examinations is the breath hold task. Using such a task, one can alternate brief breath hold periods with periods of normal self-paced respiration in a standard block design paradigm. A general linear model analysis can be performed to evaluate percentage BOLD signal change occurring during the hypercapnia state relative to the normocapnia condition. Although one may utilize either end-inspiratory or end-expiratory breath holds to induce the transient hypercapnia, and both approaches have relative strengths and weaknesses (eg, some studies have shown greater reproducibility with the latter approach), we have found that in general, the end-inspiratory technique is easier for patients to perform and can be performed even by neurologically debilitated patients.49⇓–51 The purpose of this task is to evaluate cerebrovascular reactivity (CVR) in a relatively quick, easy, and effective manner without the need for exogenous controlled gas administration as is frequently used for quantitative CVR research studies.52⇓⇓–55 Although emerging resting-state BOLD imaging approaches have been suggested as well for assessment of CVR, there remains some controversy regarding the reliability of such methods such as resting-state fluctuation of amplitude, and thus they cannot be recommended currently.56⇓–58

The main value of this method is its utility in detecting neurovascular uncoupling potential in patients with focal resectable brain lesions such as tumors, vascular malformations, or cortical developmental abnormalities. Neurovascular uncoupling (NVU) refers to the breakdown of the normal neurovascular coupling cascade related to factors such as tumor angiogenesis, astrocytic dysfunction, neurotransmitter, or other biochemical dysfunction or abnormalities of intralesional or perilesional hemodynamics. Generally, the final step in the cascade involves the vascular response related to regional neuronal activation, and thus most cases of NVU manifest as abnormally decreased or absent regional vascular reactivity within or immediately adjacent to the brain lesion of interest.49,59⇓⇓⇓–63 Determining potential NVU increases the clinical utility of fMRI by uncovering false-negative language activations in the eloquent cortex.

Conclusions

The ASFNR proposes that institutions performing presurgical language fMRI consider adopting these recommended paradigm algorithms as standard clinical practice. The algorithms were created with an attempt to balance paradigms that primarily activate frontal/expressive regions (SWG, AG, ON) and those that primarily activate temporal/receptive areas (SC, PSL). Paradigms were also chosen to balance varying levels of sensitivity and specificity as well as strengths in lateralization and localization. The algorithms are meant to provide easily adopted, clinically useful paradigms that would apply to the greatest number of clinical scenarios. The tasks can be downloaded for free at https://www.asfnr.org/paradigms/.

Using common paradigms is only the first necessary step in practice convergence in an effort to reduce the widespread variability in clinical fMRI. By design, it is expected that these recommendations will change with time. The commonality that they provide will allow interinstitutional comparisons that will eventually provide insights into the best methodologies, enhance the value of every institution's fMRI program, and provide a common frame of reference from which the field can advance.

Radiologists, especially those who have innovated and created fMRI tasks that are used on a daily basis in their respective practices, may be hesitant to discard their favorite, personally developed language tasks in the name of standardization and convergence. Moreover, interinstitutional standardization runs against the normal business model of attempting to differentiate one's practice from one's competitors. However, adopting standard paradigms is the natural evolution of a technology that is initially replete with locally derived, often ingenious methods that because of their uniqueness, unfortunately limit meaningful communication with other professionals as well as the ability to generalize clinical and research contributions beyond one's own walls.

Converging language paradigms are only a small component of fMRI practice. Ongoing variability in terms of MR imaging scanner models, patient training sessions, and postprocessing techniques will continue to impact the generalizability of fMRI results. Institutions will still be able to differentiate themselves through interpretation quality and other patient care metrics. While there are varying degrees of support for these language paradigms in the literature, the most compelling aspect in favor of adopting this set of tasks is that they are already widely used in clinical practice.

Appendix: Minimum Acceptable Scanner Parameters for Performing ASFNR-Recommended Language Paradigms

The actual content of each paradigm will be available for download on the ASFNR Web site (https://www.asfnr.org/paradigms/).

Task list

  1. Sentence Completion

  2. Silent Word Generation

  3. Rhyming

  4. Antonym Generation

  5. Passive Story Listening

  6. Object Naming

1) Sentence Completion Task Parameters*

Gradient-echo EPI sequence

Field strength: 3T

TR: 2000 ms

TE: 30 ms

Matrix: 64 × 64

FOV: 24 cm

Section thickness: 4 mm

Parallel factor: 2

Scan length: 4 minutes

Font: 42-point Times New Roman font (on a standard PowerPoint slide) in white with a black background.

Stimuli: The patient is shown incomplete sentences and is instructed to subvocally think of a word or words to complete the sentence. If there is time, the patient should continue to think of alternate words that complete the sentence before the next incomplete sentence being presented. Four sentences per 20 seconds. This stimulus timeframe is repeated 6 times.

Control: Patient views nonsense sentences. Four nonsense sentences per 20 seconds.

*From Faro et al multicenter ongoing trial.

2) Silent Word Generation Task Parameters*

Gradient-echo EPI sequence

Field strength: 3T

TR: 2000 ms

TE: 30 ms

Matrix: 64 × 64

FOV: 24 cm

Section thickness: 4 mm

Parallel factor: 2

Scan length: 4 minutes

Font: Times New Roman font size 117 (on a standard PowerPoint slide), white font on black background.

Stimuli: A test of phonemic fluency wherein a patient is shown a single letter and asked to subvocally think of as many words that start with that letter as they possibly can before the image changes to either the control or the next letter. Ten seconds per letter. The patient can be instructed to press a button with each word they think of as a means of monitoring their active engagement with the task.

Control: Patient views nonsense symbols (10 seconds per nonsense symbol).

Six cycles = 4 minutes

*From Faro et al multicenter ongoing trial.

3) Rhyming Task Parameters

Gradient-echo EPI sequence

Field strength: 3T

TR: 2000 ms

TE: 30 ms

Matrix: 64 × 64

FOV: 24 cm

Section thickness: 4 mm

Parallel factor: 2

Scan length: 4 minutes

Font: Times New Roman font size 200 (on a standard PowerPoint slide), white font on black background.

Stimuli: The patient is shown 2 words, one on top of the other, and asked to respond with a button press if the 2 words rhyme. If the words do not rhyme, no button press should occur. Five word pairs per 20 seconds.

Control: Two sets of 5 differently oriented lines (one set on top of the other) are shown to the patient, who is asked to respond with a button press if the 2 sets are oriented in an identical fashion. If not, no button press is needed.

4) Antonym Generation Task Parameters

Gradient-echo EPI sequence

Field strength: 3T

TR: 2000 ms

TE: 30 ms

Matrix: 64 × 64

FOV: 24 cm

Section thickness: 4 mm

Parallel factor: 2

Scan length: 2 minutes 40 seconds

Font: Times New Roman font size 44 (on a standard PowerPoint slide), white font on black background.

Stimuli: The patient is shown single words and asked to generate an opposite-meaning word in his or her mind. Ten words per block and a total of 4 blocks. Each word remains on the screen for 2 seconds.

Control: Simple crosshair in the center of the screen lasts for 20 seconds for each block.

5) Passive Story Listening Task Parameters

Gradient-echo EPI sequence

Field strength: 3T

TR: 2000 ms

TE: 30 ms

Matrix: 64 × 64

FOV: 24 cm

Section thickness: 4 mm

Parallel factor: 2

Scan length: 4 minutes

Font: This is an aurally presented paradigm.

Stimuli: The patient listens to 20 seconds of a story (selected passages from “The Tale of Peter Rabbit,” by Beatrix Potter). Alternates with control for a total of 4 minutes.

Control: The patient listens to 20 seconds of the same story played backwards.

(Reading performed by Ann Marie Rydberg)

6) Object Naming Task Parameters

Gradient-echo EPI sequence

Field strength: 3T

TR: 2000 ms

TE: 30 ms

Matrix: 64 × 64

FOV: 24 cm

Section thickness: 4 mm

Parallel factor: 2

Scan length: 4 minutes

Font: Similarly sized images and symbols will be shown (no text).

Stimuli: White outline images of objects on a black background will be shown to the patient who will be asked to covertly/silently name the object. One object is presented approximately every 3 seconds.

Control: Nonsense symbols are shown to the patient, and he or she does nothing other than attend to what is being shown. One symbol is presented approximately every 3 seconds.

Breath Hold Task Parameters

(Recommended but not part of the specified algorithms)

Gradient-echo EPI sequence

Field strength: 3T

TR: 2000 ms

TE: 30 ms

Matrix: 64 × 64

FOV: 24 cm

Section thickness: 4 mm

Parallel factor: 2

Scan length: 4 minutes 20 seconds

Font: Times New Roman font size 44 (on a standard PowerPoint slide), white font on black background.

Technique: Slow controlled 4-second inspiration followed by a 16-second breath hold. This is then followed by a 40-second block of self-paced normal breathing. This cycle is repeated 4 times with an additional 20-second period of normal breathing for a total task duration of 4 minutes 20 seconds.

From: Pillai JJ, Mikulis DJ. Cerebrovascular reactivity mapping: an evolving standard for clinical functional imaging. AJNR Am J Neuroradiol 2015;36:7-13.

Footnotes

  • J.J. Pillai and K. Welker are co-senior authors.

Indicates open access to non-subscribers at www.ajnr.org

References

  1. 1.↵
    1. Stippich C,
    2. Rapps N,
    3. Dreyhaupt J, et al
    . Localizing and lateralizing language in patients with brain tumors: feasibility of routine preoperative functional MR imaging in 81 consecutive patients. Radiology 2007;243:828–36 doi:10.1148/radiol.2433060068 pmid:17517936
    CrossRefPubMed
  2. 2.↵
    1. FitzGerald DB,
    2. Cosgrove GR,
    3. Ronner S, et al
    . Location of language in the cortex: a comparison between functional MR imaging and electrocortical stimulation. AJNR Am J Neuroradiol 1997;18:1529–39 pmid:9296196
    Abstract
  3. 3.↵
    1. Haag A,
    2. Bonelli S
    . Clinical application of language and memory fMRI in epilepsy. Epileptologie 2013;30:101–08
  4. 4.↵
    1. Nichols T,
    2. Das S,
    3. Eickhoff S, et al
    . Best practices in data analysis and sharing in neuroimaging using MRI. Nat Neurosci 2017;20:299–303 doi:10.1038/nn.4500 pmid:28230846
    CrossRefPubMed
  5. 5.↵
    1. Deblaere K,
    2. Backes WH,
    3. Hofman P, et al
    . Developing a comprehensive presurgical functional MRI protocol for patients with intractable temporal lobe epilepsy: a pilot study. Neuroradiology 2002;44:667–73 doi:10.1007/s00234-002-0800-4 pmid:12185544
    CrossRefPubMed
  6. 6.↵
    1. Ojemann JG,
    2. Buckner RL,
    3. Akbudak E, et al
    . Functional MRI studies of word-stem completion: reliability across laboratories and comparison to blood flow imaging with PET. Hum Brain Mapp 1998;6:203–15 pmid:9704261
    CrossRefPubMed
  7. 7.↵
    1. Niskanen E,
    2. Kononen M,
    3. Villberg V, et al
    . The effect of fMRI task combinations on determining the hemispheric dominance of language functions. Neuroradiology 2012;54:393–405 doi:10.1007/s00234-011-0959-7 pmid:21932015
    CrossRefPubMed
  8. 8.↵
    1. Rutten GJ,
    2. Ramsey NF,
    3. van Rijen PC, et al
    . Development of a functional magnetic resonance imaging protocol for intraoperative localization of critical temporoparietal language areas. Ann Neurol 2002;51:350–60 doi:10.1002/ana.10117 pmid:11891830
    CrossRefPubMed
  9. 9.↵
    1. Gaillard WD,
    2. Balsamo L,
    3. Xu B, et al
    . fMRI language task panel improves determination of language dominance. Neurology 2004;63:1403–08 doi:10.1212/01.WNL.0000141852.65175.A7 pmid:15505156
    Abstract/FREE Full Text
  10. 10.↵
    1. Rutten GJ,
    2. Ramsey NF,
    3. van Rijen PC, et al
    . FMRI-determined language lateralization in patients with unilateral or mixed language dominance according to the Wada test. Neuroimage 2002;17:447–60 doi:10.1006/nimg.2002.1196 pmid:12482097
    CrossRefPubMed
  11. 11.↵
    1. Zacà D,
    2. Nickerson JP,
    3. Deib G, et al
    . Effectiveness of four different clinical fMRI paradigms for preoperative regional determination of language lateralization in patients with brain tumors. Neuroradiology 2012;54:1015–25 doi:10.1007/s00234-012-1056-2 pmid:22744798
    CrossRefPubMed
  12. 12.↵
    1. Vigneau M,
    2. Beaucousin V,
    3. Herve PY, et al
    . What is right-hemisphere contribution to phonological, lexico-semantic, and sentence processing? Insights from a meta-analysis. Neuroimage 2011;54:577–93 doi:10.1016/j.neuroimage.2010.07.036 pmid:20656040
    CrossRefPubMed
  13. 13.↵
    1. Ischebeck A,
    2. Indefrey P,
    3. Usui N, et al
    . Reading in a regular orthography: an FMRI study investigating the role of visual familiarity. J Cogn Neurosci 2004;16:727–41 doi:10.1162/089892904970708 pmid:15200701
    CrossRefPubMed
  14. 14.↵
    1. Zaca D,
    2. Jarso S,
    3. Pillai JJ
    . Role of semantic paradigms for optimization of language mapping in clinical FMRI studies. AJNR Am J Neuroradiol 2013;34:1966–71 doi:10.3174/ajnr.A3628 pmid:23788599
    Abstract/FREE Full Text
  15. 15.↵
    1. Barnett A,
    2. Marty-Dugas J,
    3. McAndrews MP
    . Advantages of sentence-level fMRI language tasks in presurgical language mapping for temporal lobe epilepsy. Epilepsy Behav 2014;32:114–20 doi:10.1016/j.yebeh.2014.01.010 pmid:24534479
    CrossRefPubMed
  16. 16.↵
    1. Cuenod CA,
    2. Bookheimer SY,
    3. Hertz-Pannier L, et al
    . Functional MRI during word generation, using conventional equipment: a potential tool for language localization in the clinical environment. Neurology 1995;45:1821–27 doi:10.1212/WNL.45.10.1821 pmid:7477975
    Abstract/FREE Full Text
  17. 17.↵
    1. Lurito JT,
    2. Kareken DA,
    3. Lowe MJ, et al
    . Comparison of rhyming and word generation with FMRI. Hum Brain Mapp 2000;10:99–106 pmid:10912589
    CrossRefPubMed
  18. 18.↵
    1. Yetkin FZ,
    2. Hammeke TA,
    3. Swanson SJ, et al
    . A comparison of functional MR activation patterns during silent and audible language tasks. AJNR Am J Neuroradiol 1995;16:1087–92 pmid:7639132
    Abstract
  19. 19.↵
    1. Pillai JJ,
    2. Zaca D
    . Relative utility for hemispheric lateralization of different clinical fMRI activation tasks within a comprehensive language paradigm battery in brain tumor patients as assessed by both threshold-dependent and threshold-independent analysis methods. Neuroimage 2011;54(suppl 1):S136–45 doi:10.1016/j.neuroimage.2010.03.082 pmid:20380883
    CrossRefPubMed
  20. 20.↵
    1. Stippich C
    1. Stippich C,
    2. Blatow M,
    3. Krakow K
    . Presurgical functional MRI in patients with brain tumors. In: Stippich C, ed. Clinical Functional MRI: Presurgical Functional Neuroimaging. Berlin: Springer-Verlag; 2015:87–135
  21. 21.↵
    1. Sabbah P,
    2. Chassoux F,
    3. Leveque C, et al
    . Functional MR imaging in assessment of language dominance in epileptic patients. Neuroimage 2003;18:460–67 doi:10.1016/S1053-8119(03)00025-9 pmid:12595199
    CrossRefPubMed
  22. 22.↵
    1. Friedman L,
    2. Kenny JT,
    3. Wise AL, et al
    . Brain activation during silent word generation evaluated with functional MRI. Brain Lang 1998;64:231–56 doi:10.1006/brln.1998.1953 pmid:9710491
    CrossRefPubMed
  23. 23.↵
    1. Yetkin FZ,
    2. Mueller WM,
    3. Morris GL, et al
    . Functional MR activation correlated with intraoperative cortical mapping. AJNR Am J Neuroradiol 1997;18:1311–15 pmid:9282861
    Abstract
  24. 24.↵
    1. Brannen JH,
    2. Badie B,
    3. Moritz CH, et al
    . Reliability of functional MR imaging with word-generation tasks for mapping Broca's area. AJNR Am J Neuroradiol 2001;22:1711–18 pmid:11673166
    Abstract/FREE Full Text
  25. 25.↵
    1. Hertz-Pannier L,
    2. Gaillard WD,
    3. Mott SH, et al
    . Noninvasive assessment of language dominance in children and adolescents with functional MRI: a preliminary study. Neurology 1997;48:1003–12 doi:10.1212/WNL.48.4.1003 pmid:9109891
    Abstract/FREE Full Text
  26. 26.↵
    1. Yetkin FZ,
    2. Swanson S,
    3. Fischer M, et al
    . Functional MR of frontal lobe activation: comparison with Wada language results. AJNR Am J Neuroradiol 1998;19:1095–98 pmid:9672017
    Abstract
  27. 27.↵
    1. Woermann FG,
    2. Jokeit H,
    3. Luerding R, et al
    . Language lateralization by Wada test and fMRI in 100 patients with epilepsy. Neurology 2003;61:699–701 doi:10.1212/01.WNL.0000078815.03224.57 pmid:12963768
    Abstract/FREE Full Text
  28. 28.↵
    1. Vandenberghe R,
    2. Price C,
    3. Wise R, et al
    . Functional anatomy of a common semantic system for words and pictures. Nature 1996;383:254–56 doi:10.1038/383254a0 pmid:8805700
    CrossRefPubMed
  29. 29.↵
    1. Cousin E,
    2. Peyrin C,
    3. Pichat C, et al
    . Functional MRI approach for assessing hemispheric predominance of regions activated by a phonological and a semantic task. Eur J Radiol 2007;63:274–85 doi:10.1016/j.ejrad.2007.01.030 pmid:17339089
    CrossRefPubMed
  30. 30.↵
    1. Hirsch J,
    2. Moreno DR,
    3. Kim KH
    . Interconnected large-scale systems for three fundamental cognitive tasks revealed by functional MRI. J Cogn Neurosci 2001;13:389–405 doi:10.1162/08989290151137421 pmid:11371315
    CrossRefPubMed
  31. 31.↵
    1. Hirsch J,
    2. Ruge MI,
    3. Kim KH, et al
    . An integrated functional magnetic resonance imaging procedure for preoperative mapping of cortical areas associated with tactile, motor, language, and visual functions. Neurosurgery 2000;47:711–21; discussion 721-22 pmid:10981759
    CrossRefPubMed
  32. 32.↵
    1. Lurito JT,
    2. Kareken DA,
    3. Dzemidzic M, et al
    . Functional MRI of covert object naming. Neuroimage 2000;11:S285 doi:10.1016/S1053-8119(00)91217-5
    CrossRef
  33. 33.↵
    1. Baldo JV,
    2. Arévalo A,
    3. Patterson JP, et al
    . Grey and white matter correlates of picture naming: evidence from a voxel-based lesion analysis of the Boston Naming Test. Cortex 2013;49:658–67 doi:10.1016/j.cortex.2012.03.001 pmid:22482693
    CrossRefPubMed
  34. 34.↵
    1. Pillai JJ
    1. Zaca D,
    2. Pillai JJ
    . Bold fMRI for Presurgical Planning, Part I. In: Pillai JJ, ed. Functional Brain Tumor Imaging. New York: Springer-Verlag; 2014:59–78
  35. 35.↵
    1. Pouratian N,
    2. Bookheimer SY,
    3. Rex DE, et al
    . Utility of preoperative functional magnetic resonance imaging for identifying language cortices in patients with vascular malformations. J Neurosurg 2002;97:21–32 doi:10.3171/jns.2002.97.1.0021 pmid:12134916
    CrossRefPubMed
  36. 36.↵
    1. Ruge MI,
    2. Victor J,
    3. Hosain S, et al
    . Concordance between functional magnetic resonance imaging and intraoperative language mapping. Stereotact Funct Neurosurg 1999;72:95–102 pmid:10853058
    CrossRefPubMed
  37. 37.↵
    1. Faro SA,
    2. Mohamed FB
    1. Binder J
    . fMRI of language systems: methods and applications. In: Faro SA, Mohamed FB, eds. Functional Neuroradiology Principles and Clinical Applications. 2nd ed. Boston: Springer-Verlag; 2012:398–401
  38. 38.↵
    1. Liégeois F,
    2. Connelly A,
    3. Salmond CH, et al
    . A direct test for lateralization of language activation using fMRI: comparison with invasive assessments in children with epilepsy. Neuroimage 2002;17:1861–67 doi:10.1006/nimg.2002.1327 pmid:12498760
    CrossRefPubMed
  39. 39.↵
    1. Warburton E,
    2. Wise RJ,
    3. Price CJ, et al
    . Noun and verb retrieval by normal subjects: studies with PET. Brain 1996;119(pt 1):159–79 doi:10.1093/brain/119.1.159 pmid:8624678
    CrossRefPubMed
  40. 40.↵
    1. Wise R,
    2. Chollet F,
    3. Hadar U, et al
    . Distribution of cortical neural networks involved in word comprehension and word retrieval. Brain 1991;114(pt 4):1803–17 doi:10.1093/brain/114.4.1803 pmid:1884179
    CrossRefPubMed
  41. 41.↵
    1. Dodoo-Schittko F,
    2. Rosengarth K,
    3. Doenitz C, et al
    . Assessing language dominance with functional MRI: the role of control tasks and statistical analysis. Neuropsychologia 2012;50:2684–91 doi:10.1016/j.neuropsychologia.2012.07.032 pmid:22841989
    CrossRefPubMed
  42. 42.↵
    1. Rutten GJ,
    2. Ramsey NF,
    3. van Rijen PC, et al
    . Reproducibility of fMRI-determined language lateralization in individual subjects. Brain Lang 2002;80:421–37 doi:10.1006/brln.2001.2600 pmid:11896650
    CrossRefPubMed
  43. 43.↵
    1. Karunanayaka PR,
    2. Holland SK,
    3. Schmithorst VJ, et al
    . Age-related connectivity changes in fMRI data from children listening to stories. Neuroimage 2007;34:349–60 doi:10.1016/j.neuroimage.2006.08.028 pmid:17064940
    CrossRefPubMed
  44. 44.↵
    1. Schmithorst VJ,
    2. Holland SK,
    3. Plante E
    . Cognitive modules utilized for narrative comprehension in children: a functional magnetic resonance imaging study. Neuroimage 2006;29:254–66 doi:10.1016/j.neuroimage.2005.07.020 pmid:16109491
    CrossRefPubMed
  45. 45.↵
    1. Schmithorst VJ,
    2. Holland SK,
    3. Plante E
    . Development of effective connectivity for narrative comprehension in children. Neuroreport 2007;18:1411–15 doi:10.1097/WNR.0b013e3282e9a4ef pmid:17712265
    CrossRefPubMed
  46. 46.↵
    1. Ahmad Z,
    2. Balsamo LM,
    3. Sachs BC, et al
    . Auditory comprehension of language in young children: neural networks identified with fMRI. Neurology 2003;60:1598–605 doi:10.1212/01.WNL.0000059865.32155.86 pmid:12771248
    Abstract/FREE Full Text
  47. 47.↵
    1. Schmidt CF,
    2. Zaehle T,
    3. Meyer M, et al
    . Silent and continuous fMRI scanning differentially modulate activation in an auditory language comprehension task. Hum Brain Mapp 2008;29:46–56 doi:10.1002/hbm.20372 pmid:17318832
    CrossRefPubMed
  48. 48.↵
    1. Vannest JJ,
    2. Karunanayaka PR,
    3. Altaye M, et al
    . Comparison of fMRI data from passive listening and active-response story processing tasks in children. J Magn Reson Imaging 2009;29:971–76 doi:10.1002/jmri.21694 pmid:19306445
    CrossRefPubMed
  49. 49.↵
    1. Pillai JJ,
    2. Mikulis DJ
    . Cerebrovascular reactivity mapping: an evolving standard for clinical functional imaging. AJNR Am J Neuroradiol 2015;36:7–13 doi:10.3174/ajnr.A3941 pmid:24788129
    Abstract/FREE Full Text
  50. 50.↵
    1. Scouten A,
    2. Schwarzbauer C
    . Paced respiration with end-expiration technique offers superior BOLD signal repeatability for breath-hold studies. Neuroimage 2008;43:250–57 doi:10.1016/j.neuroimage.2008.03.052 pmid:18760631
    CrossRefPubMed
  51. 51.↵
    1. Thomason ME,
    2. Glover GH
    . Controlled inspiration depth reduces variance in breath-holding-induced BOLD signal. Neuroimage 2008;39:206–14 doi:10.1016/j.neuroimage.2007.08.014 pmid:17905599
    CrossRefPubMed
  52. 52.↵
    1. Bright MG,
    2. Murphy K
    . Reliable quantification of BOLD fMRI cerebrovascular reactivity despite poor breath-hold performance. Neuroimage 2013;83:559–68 doi:10.1016/j.neuroimage.2013.07.007 pmid:23845426
    CrossRefPubMed
  53. 53.↵
    1. Kastrup A,
    2. Krüger G,
    3. Neumann-Haefelin T, et al
    . Assessment of cerebrovascular reactivity with functional magnetic resonance imaging: comparison of CO(2) and breath holding. Magn Reson Imaging 2001;19:13–20 doi:10.1016/S0730-725X(01)00227-2 pmid:11295341
    CrossRefPubMed
  54. 54.↵
    1. Magon S,
    2. Basso G,
    3. Farace P, et al
    . Reproducibility of BOLD signal change induced by breath holding. Neuroimage 2009;45:702–12 doi:10.1016/j.neuroimage.2008.12.059 pmid:19211035
    CrossRefPubMed
  55. 55.↵
    1. Tancredi FB,
    2. Hoge RD
    . Comparison of cerebral vascular reactivity measures obtained using breath-holding and CO2 inhalation. J Cereb Blood Flow Metab 2013;33:1066–74 doi:10.1038/jcbfm.2013.48 pmid:23571282
    CrossRefPubMed
  56. 56.↵
    1. Jahanian H,
    2. Christen T,
    3. Moseley ME, et al
    ; SPRINT Study Research Group. Measuring vascular reactivity with resting-state blood oxygenation level-dependent (BOLD) signal fluctuations: a potential alternative to the breath-holding challenge? J Cereb Blood Flow Metab 2017;37:2526–38 doi:10.1177/0271678X16670921 pmid:27683452
    CrossRefPubMed
  57. 57.↵
    1. Kannurpatti SS,
    2. Motes MA,
    3. Biswal BB, et al
    . Assessment of unconstrained cerebrovascular reactivity marker for large age-range FMRI studies. PLoS One 2014;9:e88751 doi:10.1371/journal.pone.0088751 pmid:24551151
    CrossRefPubMed
  58. 58.↵
    1. Lipp I,
    2. Murphy K,
    3. Caseras X, et al
    . Agreement and repeatability of vascular reactivity estimates based on a breath-hold task and a resting state scan. Neuroimage 2015;113:387–96 doi:10.1016/j.neuroimage.2015.03.004 pmid:25795342
    CrossRefPubMed
  59. 59.↵
    1. Hsu YY,
    2. Chang CN,
    3. Jung SM, et al
    . Blood oxygenation level-dependent MRI of cerebral gliomas during breath holding. J Magn Reson Imaging 2004;19:160–67 doi:10.1002/jmri.10447 pmid:14745748
    CrossRefPubMed
  60. 60.↵
    1. Iranmahboob A,
    2. Peck KK,
    3. Brennan NP, et al
    . Vascular reactivity maps in patients with gliomas using breath-holding BOLD fMRI. J Neuroimaging 2016;26:232–39 doi:10.1111/jon.12278 pmid:26250554
    CrossRefPubMed
  61. 61.↵
    1. Pillai JJ,
    2. Zacá D
    . Clinical utility of cerebrovascular reactivity mapping in patients with low grade gliomas. World J Clin Oncol 2011;2:397–403 doi:10.5306/wjco.v2.i12.397 pmid:22171282
    CrossRefPubMed
  62. 62.↵
    1. Pillai JJ,
    2. Zacà D
    . Comparison of BOLD cerebrovascular reactivity mapping and DSC MR perfusion imaging for prediction of neurovascular uncoupling potential in brain tumors. Technol Cancer Res Treat 2012;11:361–74 doi:10.7785/tcrt.2012.500284 pmid:22376130
    CrossRefPubMed
  63. 63.↵
    1. Zaca D,
    2. Hua J,
    3. Pillai JJ
    . Cerebrovascular reactivity mapping for brain tumor presurgical planning. World J Clin Oncol 2011;2:289–98 doi:10.5306/wjco.v2.i7.289 pmid:21773079
    CrossRefPubMed
  • © 2017 by American Journal of Neuroradiology
View Abstract
PreviousNext
Back to top

In this issue

American Journal of Neuroradiology: 38 (10)
American Journal of Neuroradiology
Vol. 38, Issue 10
1 Oct 2017
  • Table of Contents
  • Index by author
  • Complete Issue (PDF)
Advertisement
Print
Download PDF
Email Article

Thank you for your interest in spreading the word on American Journal of Neuroradiology.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
American Society of Functional Neuroradiology–Recommended fMRI Paradigm Algorithms for Presurgical Language Assessment
(Your Name) has sent you a message from American Journal of Neuroradiology
(Your Name) thought you would like to see the American Journal of Neuroradiology web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
American Society of Functional Neuroradiology–Recommended fMRI Paradigm Algorithms for Presurgical Language Assessment
D.F. Black, B. Vachha, A. Mian, S.H. Faro, M. Maheshwari, H.I. Sair, J.R. Petrella, J.J. Pillai, K. Welker
American Journal of Neuroradiology Oct 2017, 38 (10) E65-E73; DOI: 10.3174/ajnr.A5345

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
American Society of Functional Neuroradiology–Recommended fMRI Paradigm Algorithms for Presurgical Language Assessment
D.F. Black, B. Vachha, A. Mian, S.H. Faro, M. Maheshwari, H.I. Sair, J.R. Petrella, J.J. Pillai, K. Welker
American Journal of Neuroradiology Oct 2017, 38 (10) E65-E73; DOI: 10.3174/ajnr.A5345
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Purchase

Jump to section

  • Article
    • Abstract
    • ABBREVIATIONS:
    • Discussion
    • Conclusions
    • Appendix: Minimum Acceptable Scanner Parameters for Performing ASFNR-Recommended Language Paradigms
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • References
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • Spectro-temporal neural dynamics during sentence completion
  • Movie-watching fMRI for presurgical language mapping in patients with brain tumour
  • Disorganization of language and working memory systems in frontal versus temporal lobe epilepsy
  • Developing fMRI protocol for clinical use Comparison of 6 Arabic paradigms for brain language mapping in native Arabic speakers
  • LIONirs: flexible Matlab toolbox for fNIRS data analysis
  • Reply:
  • Lesion-Specific Language Network Alterations in Temporal Lobe Epilepsy
  • Interactive mapping of language and memory with the GE2REC protocol
  • Crossref (93)
  • Google Scholar

This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

  • Challenges and techniques for presurgical brain mapping with functional MRI
    Michael A. Silva, Alfred P. See, Walid I. Essayed, Alexandra J. Golby, Yanmei Tie
    NeuroImage: Clinical 2018 17
  • Neuroimaging in epilepsy
    Meneka Kaur Sidhu, John S. Duncan, Josemir W. Sander
    Current Opinion in Neurology 2018 31 4
  • Neuroplasticity in Post-Stroke Aphasia: A Systematic Review and Meta-Analysis of Functional Imaging Studies of Reorganization of Language Processing
    Stephen M. Wilson, Sarah M. Schneck
    Neurobiology of Language 2020 2 1
  • Functional MRI Task Comparison for Language Mapping in Neurosurgical Patients
    Prashin Unadkat, Luca Fumagalli, Laura Rigolo, Mark G. Vangel, Geoffrey S. Young, Raymond Huang, Srinivasan Mukundan, Alexandra Golby, Yanmei Tie
    Journal of Neuroimaging 2019 29 3
  • fMRI-Targeted High-Angular Resolution Diffusion MR Tractography to Identify Functional Language Tracts in Healthy Controls and Glioma Patients
    Francesco Sanvito, Eduardo Caverzasi, Marco Riva, Kesshi M. Jordan, Valeria Blasi, Paola Scifo, Antonella Iadanza, Sofia Allegra Crespi, Sara Cirillo, Alessandra Casarotti, Antonella Leonetti, Guglielmo Puglisi, Marco Grimaldi, Lorenzo Bello, Maria Luisa Gorno-Tempini, Roland G. Henry, Andrea Falini, Antonella Castellano
    Frontiers in Neuroscience 2020 14
  • MRI essentials in epileptology: a review from the ILAE Imaging Taskforce
    Irene Wang, Andrea Bernasconi, Boris Bernhardt, Hal Blumenfeld, Fernando Cendes, Yotin Chinvarun, Graeme Jackson, Victoria Morgan, Stefan Rampp, Anna Elisabetta Vaudano, Paolo Federico
    Epileptic Disorders 2020 22 4
  • Electrocorticographic high‐gamma modulation with passive listening paradigm for pediatric extraoperative language mapping
    Ravindra Arya, J. Adam Wilson, Hisako Fujiwara, Jennifer Vannest, Anna W. Byars, Leonid Rozhkov, James L. Leach, Hansel M. Greiner, Jason Buroker, Craig Scholle, Paul S. Horn, Nathan E. Crone, Douglas F. Rose, Francesco T. Mangano, Katherine D. Holland
    Epilepsia 2018 59 4
  • Language Mapping With fMRI
    Shruti Agarwal, Haris I. Sair, Sachin Gujar, Jay J. Pillai
    Topics in Magnetic Resonance Imaging 2019 28 4
  • Utilization of functional MRI language paradigms for pre-operative mapping: a systematic review
    Hanani Abdul Manan, Elizabeth A. Franz, Noorazrul Yahya
    Neuroradiology 2020 62 3
  • Understanding Language Reorganization With Neuroimaging: How Language Adapts to Different Focal Lesions and Insights Into Clinical Applications
    Luca Pasquini, Alberto Di Napoli, Maria Camilla Rossi-Espagnet, Emiliano Visconti, Antonio Napolitano, Andrea Romano, Alessandro Bozzao, Kyung K. Peck, Andrei I. Holodny
    Frontiers in Human Neuroscience 2022 16

More in this TOC Section

  • Epileptogenic Tubers Are Associated with Increased Kurtosis of Susceptibility Values: A Combined Quantitative Susceptibility Mapping and Stereoelectroencephalography Pilot Study
  • Glutaric Aciduria Type 1: Comparison between Diffusional Kurtosis Imaging and Conventional MR Imaging
  • Correlation between Multiparametric MR Imaging and Molecular Genetics in Pontine Pediatric High-Grade Glioma
Show more Functional

Similar Articles

Advertisement

News and Updates

  • Lucien Levy Best Research Article Award
  • Thanks to our 2022 Distinguished Reviewers

Resources

  • Evidence-Based Medicine Level Guide
  • AJNR Podcast Archive
  • Librarian Resources
  • Terms and Conditions

Opportunities

  • Get Peer Review Credit from Publons

American Society of Neuroradiology

  • Neurographics
  • ASNR Annual Meeting
  • Fellowship Portal

© 2023 by the American Society of Neuroradiology | Print ISSN: 0195-6108 Online ISSN: 1936-959X

Powered by HighWire