Skip to main content
Advertisement

Main menu

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • Video Articles
    • AJNR Case Collection
    • Case of the Week Archive
    • Case of the Month Archive
    • Classic Case Archive
  • Special Collections
    • AJNR Awards
    • ASNR Foundation Special Collection
    • Most Impactful AJNR Articles
    • Photon-Counting CT
    • Spinal CSF Leak Articles (Jan 2020-June 2024)
  • Multimedia
    • AJNR Podcasts
    • AJNR SCANtastic
    • Trainee Corner
    • MRI Safety Corner
    • Imaging Protocols
  • For Authors
    • Submit a Manuscript
    • Submit a Video Article
    • Submit an eLetter to the Editor/Response
    • Manuscript Submission Guidelines
    • Statistical Tips
    • Fast Publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Imaging Protocol Submission
    • Author Policies
  • About Us
    • About AJNR
    • Editorial Board
    • Editorial Board Alumni
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home

User menu

  • Alerts
  • Log in

Search

  • Advanced search
American Journal of Neuroradiology
American Journal of Neuroradiology

American Journal of Neuroradiology

ASHNR American Society of Functional Neuroradiology ASHNR American Society of Pediatric Neuroradiology ASSR
  • Alerts
  • Log in

Advanced Search

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • Video Articles
    • AJNR Case Collection
    • Case of the Week Archive
    • Case of the Month Archive
    • Classic Case Archive
  • Special Collections
    • AJNR Awards
    • ASNR Foundation Special Collection
    • Most Impactful AJNR Articles
    • Photon-Counting CT
    • Spinal CSF Leak Articles (Jan 2020-June 2024)
  • Multimedia
    • AJNR Podcasts
    • AJNR SCANtastic
    • Trainee Corner
    • MRI Safety Corner
    • Imaging Protocols
  • For Authors
    • Submit a Manuscript
    • Submit a Video Article
    • Submit an eLetter to the Editor/Response
    • Manuscript Submission Guidelines
    • Statistical Tips
    • Fast Publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Imaging Protocol Submission
    • Author Policies
  • About Us
    • About AJNR
    • Editorial Board
    • Editorial Board Alumni
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home
  • Follow AJNR on Twitter
  • Visit AJNR on Facebook
  • Follow AJNR on Instagram
  • Join AJNR on LinkedIn
  • RSS Feeds

AJNR is seeking candidates for the AJNR Podcast Editor. Read the position description.

Research ArticleBRAIN

Cognitive Aging, Executive Function, and Fractional Anisotropy: A Diffusion Tensor MR Imaging Study

S.M. Grieve, L.M. Williams, R.H. Paul, C.R. Clark and E. Gordon
American Journal of Neuroradiology February 2007, 28 (2) 226-235;
S.M. Grieve
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
L.M. Williams
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
R.H. Paul
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
C.R. Clark
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
E. Gordon
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF
Loading

References

  1. ↵
    Basser PJ, Mattiello J, LeBihan D. Estimation of the effective self-diffusion tensor from the NMR spin echo. J Magn Reson B 1994;103:247–54
    CrossRefPubMedWeb of Science
  2. ↵
    Hahn EL. Spin echoes. Phys Rev 1950;80:580
    CrossRefWeb of Science
  3. ↵
    Ciccarelli O, Werring DJ, Barker GJ, et al. A study of the mechanisms of normal-appearing white matter damage in multiple sclerosis using diffusion tensor imaging–evidence of Wallerian degeneration. J Neurol 2003;250:287–92
    CrossRefPubMedWeb of Science
  4. ↵
    Fellgiebel A, Wille P, Muller MJ, et al. Ultrastructural hippocampal and white matter alterations in mild cognitive impairment: a diffusion tensor imaging study. Dement Geriatr Cogn Disord 2004;18:101–08
    CrossRefPubMedWeb of Science
  5. Filippi CG, Ulug AM, Ryan E, et al. Diffusion tensor imaging of patients with HIV and normal-appearing white matter on MR images of the brain. AJNR Am J Neuroradiol 2001;22:277–83
    Abstract/FREE Full Text
  6. Foong J, Maier M, Clark CA, et al. Neuropathological abnormalities of the corpus callosum in schizophrenia: a diffusion tensor imaging study. J Neurol Neurosurg Psychiatry 2000;68:242–44
    Abstract/FREE Full Text
  7. ↵
    Sotak CH. The role of diffusion tensor imaging in the evaluation of ischemic brain injury—a review. NMR Biomed 2002;15:561–69
    CrossRefPubMedWeb of Science
  8. ↵
    Good CD, Johnsrude IS, Ashburner J, et al. A voxel-based morphometric study of ageing in 465 normal adult human brains. Neuroimage 2001;14:21–36
    CrossRefPubMedWeb of Science
  9. ↵
    Grieve SM, Clark CR, Williams LM, et al. Preservation of limbic and paralimbic structures in aging. Hum Brain Mapp 2005;25:391–401
    CrossRefPubMedWeb of Science
  10. Haug H. Are Neurons of the Human Cerebral Cortex Really Lost During Aging? A Morphometric Examination. In: Tarber J, Gispen WH, eds. Senile Dementia of Alzheimer Type. Berlin: Springer-Verlag;1985 :150–63
  11. ↵
    Jernigan TL, Archibald SL, Fennema-Notestine C, et al. Effects of age on tissues and regions of the cerebrum and cerebellum. Neurobiol Aging 2001;22:581–94
    CrossRefPubMedWeb of Science
  12. ↵
    Raz N, Gunning FM, Head D, et al. Selective aging of the human cerebral cortex observed in vivo: differential vulnerability of the prefrontal gray matter. Cereb Cortex 1997;7:268–82
    Abstract/FREE Full Text
  13. ↵
    Resnick SM, Goldszal AF, Davatzikos C, et al. One-year age changes in MRI brain volumes in older adults. Cereb Cortex 2000;10:464–72
    Abstract/FREE Full Text
  14. ↵
    Sowell ER, Peterson BS, Thompson PM, et al. Mapping cortical change across the human life span. Nat Neurosci 2003;6:309–15
    CrossRefPubMedWeb of Science
  15. ↵
    Adak S, Illouz K, Gorman W, et al. Predicting the rate of cognitive decline in aging and early Alzheimer disease. Neurology 2004;63:108–14
    Abstract/FREE Full Text
  16. ↵
    Blatter DD, Bigler ED, Gale SD, et al. Quantitative volumetric analysis of brain MR: normative database spanning 5 decades of life. AJNR Am J Neuroradiol 1995;16:241–51
    Abstract/FREE Full Text
  17. Jernigan TL, Archibald SL, Berhow MT, et al. Cerebral structure on MRI, Part I: Localization of age-related changes. Biol Psychiatry 1991;29:55–67
    PubMedWeb of Science
  18. ↵
    Pfefferbaum A, Mathalon DH, Sullivan EV, et al. A quantitative magnetic resonance imaging study of changes in brain morphology from infancy to late adulthood. Arch Neurol 1994;51:874–87
    CrossRefPubMedWeb of Science
  19. ↵
    Cook IA, Leuchter AF, Morgan ML, et al. Cognitive and physiologic correlates of subclinical structural brain disease in elderly healthy control subjects. Arch Neurol 2002;59:1612–20
    CrossRefPubMedWeb of Science
  20. Gunning-Dixon FM, Raz N. The cognitive correlates of white matter abnormalities in normal aging: a quantitative review. Neuropsychology 2000;14:224–32
    CrossRefPubMedWeb of Science
  21. ↵
    O’Brien JT, Wiseman R, Burton EJ, et al. Cognitive associations of subcortical white matter lesions in older people. Ann N Y Acad Sci 2002;977:436–44
    PubMedWeb of Science
  22. ↵
    Paul RH, Haque O, Gunstad J, et al. Subcortical hyperintensities impact cognitive function among a select subset of healthy elderly. Arch Clin Neuropsychol 2005;20:697–704
    Abstract
  23. ↵
    Prins ND, van Dijk EJ, den Heijer T, et al. Cerebral small-vessel disease and decline in information processing speed, executive function and memory. Brain 2005;128:2034–41
    Abstract/FREE Full Text
  24. ↵
    Pfefferbaum A, Sullivan EV, Hedehus M, et al. Age-related decline in brain white matter anisotropy measured with spatially corrected echo-planar diffusion tensor imaging. Magn Reson Med 2000;44:259–68
    CrossRefPubMedWeb of Science
  25. ↵
    Abe O, Aoki S, Hayashi N, et al. Normal aging in the central nervous system: quantitative MR diffusion-tensor analysis. Neurobiol Aging 2002;23:433–41
    CrossRefPubMedWeb of Science
  26. Nusbaum AO, Tang CY, Buchsbaum MS, et al. Regional and global changes in cerebral diffusion with normal aging. AJNR Am J Neuroradiol 2001;22:136–42
    Abstract/FREE Full Text
  27. ↵
    O’Sullivan M, Morris RG, Huckstep B, et al. Diffusion tensor MRI correlates with executive dysfunction in patients with ischaemic leukoaraiosis. J Neurol Neurosurg Psychiatry 2004;75:441–47
    Abstract/FREE Full Text
  28. ↵
    Sullivan EV, Adalsteinsson E, Hedehus M, et al. Equivalent disruption of regional white matter microstructure in ageing healthy men and women. Neuroreport 2001;12:99–104
    CrossRefPubMedWeb of Science
  29. ↵
    Pfefferbaum A, Sullivan EV. Increased brain white matter diffusivity in normal adult aging: relationship to anisotropy and partial voluming. Magn Reson Med 2003;49:953–61
    CrossRefPubMedWeb of Science
  30. ↵
    Moseley M, Bammer R, Illes J. Diffusion-tensor imaging of cognitive performance. Brain Cogn 2002;50:396–413
    CrossRefPubMedWeb of Science
  31. ↵
    Deutsch GK, Dougherty RF, Bammer R, et al. Children’s reading performance is correlated with white matter structure measured by diffusion tensor imaging. Cortex 2005;41:354–63
    CrossRefPubMedWeb of Science
  32. ↵
    Madden DJ, Whiting WL, Huettel SA, et al. Diffusion tensor imaging of adult age differences in cerebral white matter: relation to response time. Neuroimage 2004;21:1174–81
    CrossRefPubMedWeb of Science
  33. ↵
    Shenkin SD, Bastin ME, MacGillivray TJ, et al. Childhood and current cognitive function in healthy 80-year-olds: a DT-MRI study. Neuroreport 2003;14:345–49
    CrossRefPubMedWeb of Science
  34. ↵
    Pfefferbaum A, Sullivan EV. Microstructural but not macrostructural disruption of white matter in women with chronic alcoholism. Neuroimage 2002;15:708–18
    CrossRefPubMedWeb of Science
  35. ↵
    Van der Werf YD, Scheltens P, Lindeboom J, et al. Deficits of memory, executive functioning and attention following infarction in the thalamus; a study of 22 cases with localised lesions. Neuropsychologia 2003;41:1330–44
    CrossRefPubMedWeb of Science
  36. ↵
    Tisserand DJ, Jolles J. On the involvement of prefrontal networks in cognitive ageing. Cortex 2003;39:1107–28
    PubMedWeb of Science
  37. Rabbitt P, Lowe C. Patterns of cognitive ageing. Psychol Res 2000;63:308–16
    CrossRefPubMedWeb of Science
  38. ↵
    Uylings HBM, West MJ, Coleman PD, et al. Neuronal and Cellular Changes in the Ageing Brain. New York: McGraw-Hill,2000 :61–76
  39. ↵
    Gordon E. Integrative neuroscience. Neuropsychopharmacology 2003;28 (Suppl 1):S2–S8
  40. ↵
    Gordon E, Cooper N, Rennie C, et al. Integrative neuroscience: the role of a standardized database. Clin EEG Neurosci 2005;36:64–75
    Abstract/FREE Full Text
  41. ↵
    American Psychiatric Association. Diagnostic and Statistic Manual of Mental Disorders, 4th ed. Washington DC: American Psychiatric Association;1994
  42. ↵
    Hickie IB, Davenport TA, Hadzi-Pavlovic D, et al. Development of a simple screening tool for common mental disorders in general practice. Med J Aust 2001;175 Suppl:S10–S17
  43. ↵
    Ashburner J, Friston KJ. Voxel-based morphometry–the methods. Neuroimage 2000;11:805–21
    CrossRefPubMedWeb of Science
  44. ↵
    Friston KJ, Holmes A, Poline JB, et al. Detecting activations in PET and fMRI: levels of inference and power. Neuroimage 1996;4:223–35
    CrossRefPubMedWeb of Science
  45. ↵
    Tzourio-Mazoyer N, Landeau B, Papathanassiou D, et al. Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage 2002;15:273–89
    CrossRefPubMedWeb of Science
  46. ↵
    Paul RH, Lawrence J, Williams LM, et al. Preliminary validity of “integneuro”: a new computerized battery of neurocognitive tests. Int J Neurosci 2005;115:1549–67
    CrossRefPubMed
  47. ↵
    Williams LM, Simms E, Clark CR, et al. The test-retest reliability of a standardized neurocognitive and neurophysiological test battery: “neuromarker.” Int J Neuroscience 2005;115:1605–30
    CrossRefPubMed
  48. ↵
    Brown EC, Casey A, Fisch RI, et al. Trial making test as a screening device for the detection of brain damage. J Consult Psychol 1958;22:469–74
    CrossRefPubMedWeb of Science
  49. ↵
    Baddeley A, Emslie H, Nimmo-Smith I. The Spot-the-Word test: a robust estimate of verbal intelligence based on lexical decision. Br J Clin Psychol 1993;32(Pt 1):55–65
  50. ↵
    Wiegersma S, van der Scheer E, Human R. Subjective ordering, short-term memory, and the frontal lobes. Neuropsychologia 1990;28:95–98
    CrossRefPubMedWeb of Science
  51. ↵
    Rabbitt P, Goward L. Age, information processing speed, and intelligence. Q J Exp Psychol A 1994;47:741–60
    PubMed
  52. ↵
    Sen A, Jensen AR, Sen AK, et al. Correlation between reaction time and intelligence in psychometrically similar groups in America and India. Appl Res Ment Retard 1983;4:139–52
    CrossRefPubMed
  53. ↵
    Lamar M, Zonderman AB, Resnick S. Contribution of specific cognitive processes to executive functioning in an aging population. Neuropsychology 2002;16:156–62
    CrossRefPubMedWeb of Science
  54. Verhaeghen P, Cerella J. Aging, executive control, and attention: a review of meta-analyses. Neurosci Biobehav Rev 2002;26:849–57
    CrossRefPubMedWeb of Science
  55. ↵
    Verhaeghen P, Cerella J, Semenec SC, et al. Cognitive efficiency modes in old age: performance on sequential and coordinative verbal and visuospatial tasks. Psychol Aging 2002;17:558–70
    CrossRefPubMedWeb of Science
  56. ↵
    Li ZH, Sun XW, Wang ZX, et al. Behavioral and functional MRI study of attention shift in human verbal working memory. Neuroimage 2004;21:181–91
    CrossRefPubMedWeb of Science
  57. ↵
    Boone KB, Miller BL, Lesser IM, et al. Neuropsychological correlates of white-matter lesions in healthy elderly subjects. A threshold effect. Arch Neurol 1992;49:549–54
    CrossRefPubMedWeb of Science
  58. ↵
    Breteler MM, van Amerongen NM, van Swieten JC, et al. Cognitive correlates of ventricular enlargement and cerebral white matter lesions on magnetic resonance imaging. The Rotterdam Study. Stroke 1994;25:1109–15
    Abstract/FREE Full Text
  59. ↵
    Olesen PJ, Nagy Z, Westerberg Het al. Combined analysis of DTI and fMRI data reveals a joint maturation of white and grey matter in a frontoparietal network. Brain Res Cogn Brain Res 2003;18:48–57
    CrossRefPubMed
  60. ↵
    Fuster JM. Frontal lobe and cognitive development. J Neurocytol 2002;31:373–85
    CrossRefPubMedWeb of Science
PreviousNext
Back to top

In this issue

American Journal of Neuroradiology: 28 (2)
American Journal of Neuroradiology
Vol. 28, Issue 2
February 2007
  • Table of Contents
  • Index by author
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.
Cognitive Aging, Executive Function, and Fractional Anisotropy: A Diffusion Tensor MR Imaging Study
(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.
Cite this article
S.M. Grieve, L.M. Williams, R.H. Paul, C.R. Clark, E. Gordon
Cognitive Aging, Executive Function, and Fractional Anisotropy: A Diffusion Tensor MR Imaging Study
American Journal of Neuroradiology Feb 2007, 28 (2) 226-235;

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
0 Responses
Respond to this article
Share
Bookmark this article
Cognitive Aging, Executive Function, and Fractional Anisotropy: A Diffusion Tensor MR Imaging Study
S.M. Grieve, L.M. Williams, R.H. Paul, C.R. Clark, E. Gordon
American Journal of Neuroradiology Feb 2007, 28 (2) 226-235;
del.icio.us logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Materials and Methods
    • Results
    • Discussion
    • Conclusions
    • References
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • Complementary MR measures of white matter and their relation to cardiovascular health and cognition
  • Characterizing patterns of diffusion tensor imaging variance in aging brains
  • The genetic relationships between post-traumatic stress disorder and its corresponding neural circuit structures
  • Mapping the impact of age and APOE risk factors for late onset Alzheimers disease on long range brain connections through multiscale bundle analysis
  • Common and Distinct Drug Cue Reactivity Patterns Associated with Cocaine and Heroin: An fMRI Meta-Analysis
  • Identification and validation of supervariants reveal novel loci associated with human white matter microstructure
  • Structural Fingerprinting of the Frontal Aslant Tract: Predicting Cognitive Control Capacity and Obsessive-Compulsive Symptoms
  • Brain Structure and Episodic Learning Rate in Cognitively Healthy Ageing
  • White-Matter Integrity and Working Memory: Links to Aging and Dopamine-Related Genes
  • White-matter degradation and dynamical compensation support age-related functional alterations in human brain
  • Common genetic variation influencing human white matter microstructure
  • Tacrolimus Protects against Age-Associated Microstructural Changes in the Beagle Brain
  • Multi-compartment analysis of the complex gradient-echo signal quantifies myelin breakdown in premanifest Huntingtons disease
  • The effect of vascular health factors on white matter microstructure mediates age-related differences in executive function performance
  • Regional Myo-Inositol, Creatine, and Choline Levels Are Higher at Older Age and Scale Negatively with Visuospatial Working Memory: A Cross-Sectional Proton MR Spectroscopy Study at 7 Tesla on Normal Cognitive Ageing
  • Common genetic variation influencing human white matter microstructure
  • Regional glia-related metabolite levels are higher at older age and scale negatively with visuo-spatial working memory: A cross-sectional proton MR spectroscopy study at 7 tesla on normal cognitive ageing
  • Investigating the Relationship between Cerebral Blood Flow and Cognitive Function in Hemodialysis Patients
  • Age-Related Changes in Frontal Network Structural and Functional Connectivity in Relation to Bimanual Movement Control
  • Coupled Changes in Brain White Matter Microstructure and Fluid Intelligence in Later Life
  • Cortical Activity Predicts Which Older Adults Recognize Speech in Noise and When
  • Widespread White Matter Alterations in Patients with End-Stage Renal Disease: A Voxelwise Diffusion Tensor Imaging Study
  • Multimodal imaging of the self-regulating developing brain
  • Reduced White Matter Integrity Is Related to Cognitive Instability
  • The Speed-Accuracy Tradeoff in the Elderly Brain: A Structural Model-Based Approach
  • Diffusion tensor imaging and cognitive function in older adults with no dementia
  • A prospective diffusion tensor imaging study in mild traumatic brain injury
  • Neuroradiological characterization of normal adult ageing
  • Crossref
  • Google Scholar

This article has not yet been cited by articles in journals that are participating in Crossref Cited-by Linking.

More in this TOC Section

  • Optimal MRI Sequence for Identifying Occlusion Location in Acute Stroke: Which Value of Time-Resolved Contrast-Enhanced MRA?
  • Evaluating the Effects of White Matter Multiple Sclerosis Lesions on the Volume Estimation of 6 Brain Tissue Segmentation Methods
  • Quiet PROPELLER MRI Techniques Match the Quality of Conventional PROPELLER Brain Imaging Techniques
Show more BRAIN

Similar Articles

Advertisement

Indexed Content

  • Current Issue
  • Accepted Manuscripts
  • Article Preview
  • Past Issues
  • Editorials
  • Editor's Choice
  • Fellows' Journal Club
  • Letters to the Editor
  • Video Articles

Cases

  • Case Collection
  • Archive - Case of the Week
  • Archive - Case of the Month
  • Archive - Classic Case

Special Collections

  • AJNR Awards
  • ASNR Foundation Special Collection
  • Most Impactful AJNR Articles
  • Photon-Counting CT
  • Spinal CSF Leak Articles (Jan 2020-June 2024)

More from AJNR

  • Trainee Corner
  • Imaging Protocols
  • MRI Safety Corner

Multimedia

  • AJNR Podcasts
  • AJNR Scantastics

Resources

  • Turnaround Time
  • Submit a Manuscript
  • Submit a Video Article
  • Submit an eLetter to the Editor/Response
  • Manuscript Submission Guidelines
  • Statistical Tips
  • Fast Publishing of Accepted Manuscripts
  • Graphical Abstract Preparation
  • Imaging Protocol Submission
  • Evidence-Based Medicine Level Guide
  • Publishing Checklists
  • Author Policies
  • Become a Reviewer/Academy of Reviewers
  • News and Updates

About Us

  • About AJNR
  • Editorial Board
  • Editorial Board Alumni
  • Alerts
  • Permissions
  • Not an AJNR Subscriber? Join Now
  • Advertise with Us
  • Librarian Resources
  • Feedback
  • Terms and Conditions
  • AJNR Editorial Board Alumni

American Society of Neuroradiology

  • Not an ASNR Member? Join Now

© 2025 by the American Society of Neuroradiology All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Print ISSN: 0195-6108 Online ISSN: 1936-959X

Powered by HighWire