Lack of Sex Effect on Brain Activity during a Visuomotor Response Task: Functional MR Imaging Study
===================================================================================================

* Nina Mikhelashvili-Browner
* David M. Yousem
* Colin Wu
* Michael A. Kraut
* Christina L. Vaughan
* Kader Karli Oguz
* Vince D. Calhoun

## Abstract

*BACKGROUND AND PURPOSE:* As more individuals are enrolled in clinical functional MR imaging (fMRI) studies, an understanding of how sex may influence fMRI-measured brain activation is critical.

*METHODS:* We used fixed- and random-effects models to study the influence of sex on fMRI patterns of brain activation during a simple visuomotor reaction time task in the group of 26 age-matched men and women. We evaluated the right visual, left visual, left primary motor, left supplementary motor, and left anterior cingulate areas.

*RESULTS:* Volumes of activations did not significantly differ between the groups in any defined regions. Analysis of variance failed to show any significant correlations between sex and volumes of brain activation in any location studied. Mean percentage signal-intensity changes for all locations were similar between men and women. A two-way *t* test of brain activation in men and women, performed as a part of random-effects modeling, showed no significant difference at any site.

*CONCLUSION:* Our results suggest that sex seems to have little influence on fMRI brain activation when we compared performance on the simple reaction-time task. The need to control for sex effects is not critical in the analysis of this task with fMRI.

Functional MR imaging (fMRI) has proved to be a useful tool for the noninvasive investigation of sensory, motor, and cognitive processing in the human brain. As more individuals are enrolled in clinical fMRI studies, understanding how sex may influence the brain activation pattern as measured with fMRI is critical. Although findings are not consistent, in women, regional cerebral glucose metabolism and regional and global cerebral blood flow are higher than those of men at rest and during stimulation, as shown in many positron emission tomographic studies (1–4).

We studied a visuomotor response-time task in a group of age-matched men and women to determine the influence of sex on fMRI pattern of brain activation. The visuomotor response task is an example of a simple reaction-time task (SRT). It is generally accepted that total reaction time (RT) can be partitioned into two components: perceptual latency, defined as the time between the stimulus onset to the moment of stimulus detection, and motor time (MT), defined as the time needed for the activation of the specified muscle groups (5). During SRT tasks, subjects are asked to perform a given movement, eg, press or release a button, in a response to a presented stimulus. The stimulus is called the imperative stimulus. It is generally accepted that an SRT task involves little if any cognitive processing. In a choice RT task, the response is selected from two or more alternatives; each imperative stimulus is associated with a different response. Discriminative-disjunctive RT tasks (also known as go–no-go tasks) are used to assess volitional inhibition of the prepared actions. These are the tasks with the most prominent central component or decision-making process.

The results of the behavioral studies, designed to identify sex-related differences in human motor performance while focusing on RT, are not consistent. Some studies demonstrated that in a setting of SRT with an age-matched population, sex has no significant influence on RT, whereas others suggest that sex-related differences in RT exist (6–12).

Even if men and women perform identically on behavioral tasks, whether this translates to similar volumes and locations of cortical regions activated during analogous fMRI experiments remains to be seen. In one study using olfactory-stimulated fMRI, women and men scored identically in smell identification, but the volume of “olfactory eloquent” regions were activated in women was more than eight times that activated in men (13, 14). Thus, in an olfactory- stimulated fMRI study, the activation pattern reflects differences between the sexes, at least when the volume of activated tissue is used as a metric.

By the same token, the link between performance and fMRI activation is a subject of conflicting reports, and in many cases, sex plays a dominant role (15, 16). Results of an fMRI study, performed with the same protocol described in this report, supports the observation that the RT within the imaging unit is not directly correlated with the RT outside the unit (17). The authors stated that, when one aims to determine the correlation between subjects’ performance in RT tasks and the volume or amplitude of the brain activation in visuomotor areas, the RT values obtained during the fMRI experiment should be used, not the behavioral SRT data.

We sought evidence of sex-based differences in patterns of brain activation measured during fMRI by using a visuomotor SRT task. By eliminating the cognitive component to this task (eg, we did not use a discriminative-disjunctive RT task or a choice RT task), we hypothesized that any differences in fMRI activation would be due to a sex effect alone and not cognitive processing variations known to be present between men and women (18).

## Methods

### Subjects and Visuomotor RT Task

All subjects were recruited from normal volunteer registries from the Parkinson’s Disease Research Center (Baltimore, MD), from a neuroradiology patient database, or by using advertisements in the print media. Twenty-six healthy subjects underwent event-related visuomotor fMRI during which their RTs were measured. All subjects provided written informed consent approved by our hospital’s institutional review board.

All participants were right-handed, and no volunteers were taking medications. Neuropsychological tests were performed before each individual underwent fMRI, and all the subjects had intelligence quotients within the normal range; none had evidence of depression. All patients also underwent a screening T2-weighted imaging (TR/TE, 4000/102) to assess for masses as well as the presence and degree of white matter lesions. Only subjects with unremarkable anatomic MR imaging results were included in the analysis.

The participants of this study were matched by age to evaluate the effects of sex on brain activation during the visuomotor fMRI experiment. Each group comprised 13 subjects. The mean age of the male group was 51.15 years ± 21.34 (SD) (range, 26–80 years), and the mean age of the female group was 50.41 ± 21.55 (range, 25–85 years).

### Activation Task

The single event paradigm described here was written in the E-prime (Psychology Software Tools, Inc., Pittsburgh, PA) programming environment.

During the imaging session, a white fixation cross was constantly presented in the center of a black background. The single event paradigm design consisted of a round, multicolored visual cue appearing on the screen for 0.5 seconds at either 20-second or 30-second intervals randomly throughout the 6-minute acquisition. The subjects were asked to tap a finger-press button box with the second finger of their right hand as soon as they saw the visual cue. RTs during event-related paradigms were measured from the button box and registered at the computer connected to the imaging unit.

### fMRI and Data Processing

fMRI was performed by using a 1.5-T unit (Gyroscan ACS-NT, Powertrak 6000; Philips Medical Systems, Best, the Netherlands) equipped with 2.3-G/cm gradients and echo-planar imaging. A standard head coil with foam padding to limit head motion was used. The fMRI protocol involved a gradient-echo blood oxygenation level–dependent technique with a TR/TE of 1000/39, a 90° flip angle, a 24-cm FOV, and 360 time points in a 6-minute acquisition. Sections were acquired with a 5-mm thickness and an intersection gap of 1 mm by using a matrix of 128 × 128. A TE of 39 ms offers insufficient time to fully sample the 128 × 128 k-space data matrix. Partial acquisition of the k-space data is 60%. Twelve sections angled parallel to the intercomissural line and including both the primary visual and sensorimotor cortices were obtained.

Functional data processing was performed on Ultra workstations (Sun Microsystems, Palo Alto, CA) by using the statistical parametric mapping program SPM99 (Wellcome Department of Cognitive Neurology, London, UK) implemented in Matlab (Mathworks, Sherbon, MA). For each subject, we performed the following: realignment for motion correction, normalization/deformation to a standard stereotaxic coordinate (Montreal Neurologic Institute locations converted to Talairach and Tournoux), smoothing at 5-mm3 voxels, and data analysis by using a noncorrected threshold at a *P* < .001. These were accomplished by using SPM99 (Table 1). On the basis of the smoothing algorithm in SPM99, 5 × 5 × 5-mm isotropic voxels were evaluated for significant activation. Because the section thickness was 5 mm, and the matrix size was 128 × 128 in a 24-cm FOV, this smoothing had a negligible detrimental effect on overall resolution. Group maps were generated by using the smoothed normalized data sets with a corrected height threshold at *P* < .05 (Table 2). Random-effects modeling was performed with an uncorrected threshold at *P* < .001(Table 3).

View this table:
[TABLE 1:](http://www.ajnr.org/content/24/3/488/T1)

**TABLE 1:** 
**Age, RT, and number of voxels for each site activated on individual maps during the event-related paradigm**

View this table:
[TABLE 2:](http://www.ajnr.org/content/24/3/488/T2)

**TABLE 2:** 
**Fixed-effects analysis: number of voxels in each location on the group map during event-related paradigm**

View this table:
[TABLE 3:](http://www.ajnr.org/content/24/3/488/T3)

**TABLE 3:** 
**Random-effects analysis: number of voxels in each location on the group map during event-related paradigm**

We studied four locations expected to show activation: the RV and LV areas, the LM1 area, the LSMA, and the LACA. The SPM99 maps were used to localize activation and determine volumes of activation in these locations. The SPM99 maps were transformed from Montreal Neurologic Institute coordinates to Talairach space. The areas of activation were localized by using Talairach Daemon software (19) and manually checked with the Talairach and Tournoux atlas (20). The visual areas included portions of Brodmann areas (BAs) 17, 18, and 19; the primary somatomotor area included a portion of BA 4; the supplemental motor areas included portions of BA 6; and the anterior cingulate area included portions of BAs 24 and 32. The cluster size of voxels (*k* value) that exhibited a statistically significant signal-intensity change was recorded in each location. When multiple areas of activation were present within a region of interest as previously defined, they were added for a total volume. We did not predetermine an outlined region of interest or an overall size of the activated area. All voxels of activation were included if they were plotted to representative Talairach coordinates corresponding to visual, sensorimotor, or supplemental motor areas, as defined by the Brodmann maps and Talairach Daemon gyri nomenclature.

### Statistical Analysis

Mean RT values of both groups obtained during imaging were compared by means of two-sample *t* test. The volumes of activation (*k* value) of both groups were compared by using a Welch modified two-sample *t* test for each location studied. The main effect of sex on RT and the volume of the fMRI activation for each of the regions studied were assessed by performing an analysis of variance (ANOVA).

## Results

Because subjects were matched by age, no significant difference in age was observed between the male group and the female group (paired *t* test, *P* ≥ .9).

The subjects’ performance during the fMRI paradigm is presented in Table 1. There were no significant differences in RTs between men (mean RT, 415.1 ms ± 90.48) and women (mean RT = 423.3 ± 76.67) groups (paired *t* test, *P* ≥ .77). We did not detect any significant correlation between sex and the subjects’ RT when we performed linear regression analysis (*P* ≥ .75).

The age, RT, and number of voxels activated for each region on individual maps during the event-related paradigm (SPM99, *P* < .001) are presented in Table 1. All subjects in both groups except for two men and three women had suprathreshold activation in both visual and LM1 areas on individual maps with uncorrected *P* < .001 (Table 1, Figs 1–4). One man and one woman did not have any activation in LM1 and RV areas; they also did not have any activation in the LSMA and LACA. The LV activation in these two subjects was also the lowest in their respective sex groups. Additionally, we did not detect any activation in the LM1 area for one male subject and in the LV area for one female subject. The last exceptional subject was a woman with one of the lowest *k* values for the RV area and no activation in LV and LM1 areas. Only one man and two women had significant activation in the LSMA. Activation in LACA was found in three women and three men. There was no statistical correlation between age, sex, RT, and the lack of suprathreshold activation at the specified areas.

![Fig 1.](http://www.ajnr.org/https://www.ajnr.org/content/ajnr/24/3/488/F1.medium.gif)

[Fig 1.](http://www.ajnr.org/content/24/3/488/F1)

Fig 1. 
Motor activation during the visuomotor response task. Activation was superimposed onto normalized T1-weighted MR images by using SPM99. All regions displayed showed significant activation (*P* < .001 uncorrected for multiple comparisons). *Top row*, Individual SPM99 maps of a representative male subject show contralateral and ipsilateral M1 activation. *Bottom row*, Individual SPM99 maps of a representative female subject show similar degrees of left M1 and SMA activation.

![Fig 2.](http://www.ajnr.org/https://www.ajnr.org/content/ajnr/24/3/488/F2.medium.gif)

[Fig 2.](http://www.ajnr.org/content/24/3/488/F2)

Fig 2. 
Visual activation during visuomotor response task. Activation was superimposed onto normalized T1-weighted MR images by using SPM99. Significant medial occipital cortex activation (*P* < .001 uncorrected for multiple comparisons) is demonstrated in a representative. *Top*, Image in male subject. *Bottom*, Image in female subject.

![Fig 3.](http://www.ajnr.org/https://www.ajnr.org/content/ajnr/24/3/488/F3.medium.gif)

[Fig 3.](http://www.ajnr.org/content/24/3/488/F3)

Fig 3. 
Surface-rendered activation in a representative female subject. Activation was superimposed on a T1-weighted by using the Montreal Neurologic Institute template provided by SPM99. All regions displayed showed significant activation (*P* < .001 uncorrected for multiple comparisons).

![Fig 4.](http://www.ajnr.org/https://www.ajnr.org/content/ajnr/24/3/488/F4.medium.gif)

[Fig 4.](http://www.ajnr.org/content/24/3/488/F4)

Fig 4. 
Surface-rendered activation in a representative male subject. Activation was superimposed on a T1-weighted by using the Montreal Neurologic Institute template provided by SPM99. All regions displayed showed significant activation (*P* < .001 uncorrected for multiple comparisons).

Because there was a wide variation in cluster sizes of activation between subjects, we used natural logarithmic scales of the values for statistical analysis. For this reason, values of 0 in Table 1 were taken as the value 1. Volumes of activations in RV, LV, and LM1 areas did not significantly differ between men and women (Welch modified two-sample *t* test, *P* ≥ .43, *P* ≥ .37, and *P* ≥ .38, respectively) (21). The volumes of the LSMA and LACA were not compared because of the small number of subjects that had activation in these areas. ANOVA failed to show any significant correlations between sex and the volume of brain activation at each location examined.

Fixed-effects group maps showed suprathreshold activation in all locations, with the level of significance established as greater than *P* < .05 corrected for multiple comparisons (Table 2). Random-effects modeling was performed, and suprathreshold activation was shown in visual areas, motor areas, and the LSMA when the uncorrected threshold was set at *P* < .001 (Table 3). Group maps with fixed- and random-effects models showed larger volumes of activation in both visual and primary motor areas in men. However, because it is not unusual for some voxels with slightly subthreshold activation to show suprathreshold activation on group maps, we performed a two-way *t* test as a part of the random-effects analysis. This test showed no significant difference in brain activation at any specified region, but differences were observed in right inferior parietal lobule (BA 40), the right insula, and the left thalamus (Fig 5).

![Fig 5.](http://www.ajnr.org/https://www.ajnr.org/content/ajnr/24/3/488/F5.medium.gif)

[Fig 5.](http://www.ajnr.org/content/24/3/488/F5)

Fig 5. 
Random effects SPM99 of male versus female brain activation during visuomotor response task. Two-way *t* test (T = 3 .47, *P* < .001 uncorrected for multiple comparisons) shows no difference in brain activation at any defined specified site: RV, LV, LM1, LSMA, and LACA. However, men had a larger volume of activation in right inferior parietal lobule, right insula, and left thalamus.

The mean percentage signal-intensity changes in the male group were similar to those in the female group: left occipital lobe, 0.43% and 0.44%; right occipital lobe, 0.47% and 0.49%; and left sensorimotor cortex, 0.43% and 0.42% in men and women, respectively.

## Discussion

To detect possible sex differences in the SRT task paradigm during our fMRI experiment, we studied a visuomotor RT task in groups of age-matched men and women. An age-related diminution in the activated volumes and amplitudes of signal-intensity changes in the motor cortex has been shown previously (22–24). D’Esposito et al (22) have shown that, in an RT paradigm, the number of suprathreshold voxels in older subjects was four times less than that of younger subjects. We therefore matched our participants by age to minimize this potential effect on our fMRI activation maps. Our linear regression analysis also showed no effect of age on activation volumes in each sex group.

In our fMRI experiment, we did not detect any significant difference in the RTs between the groups during the event-related paradigm. The results of behavioral studies of RT are somewhat variable (Table 5). Botwinick et al (6), using a SRT task, showed that elderly women were faster than the elderly men and that young women were slower than young men. In this study the mean age of elderly women was 8 years younger than that of the men, and there was a general impression of the researchers that these women comprised an especially alert and vigorous sample, more so than the elderly men. To eliminate the influence of age, Botwinick et al (7) designed a study, where men and women were matched by age to test age-sex interaction in RT. In this study, there were no significant sex differences with regard to RT and its components. Fozard et al (9) analyzed the data from Baltimore Longitudinal Study of Aging and compared subjects’ performance on SRT and DTR tasks over 8 years. Men were faster than women on RT across all age groups, even on repeat testing. However, subjects’ age was categorized by decade, which precluded precise age matching.

View this table:
[TABLE 4:](http://www.ajnr.org/content/24/3/488/T4)

**TABLE 4:** 
**RTs in sex groups during the fMRI paradigm**

View this table:
[TABLE 5:](http://www.ajnr.org/content/24/3/488/T5)

**TABLE 5:** 
**Literature review—behavioral RT data about sex differences**

Although studies have involved finger-tapping movements since the introduction of fMRI, few have been conducted to examine the correlation between the volume of brain activation and RT. We know of no literature comparing sex-specific performance and brain activation on an SRT task in the environment of the fMRI unit. Recently, another functional MR imaging study, performed with the same protocol described in this study, supported the observation that increased RT correlates with a diminution in volume of activation in the left sensorimotor area (25). We hypothesized that having subjects matched by age and RT would control for the influence of these factors on human motor activation.

We have shown that the visuomotor task consistently activated right and left visual areas, left primary motor area and, in some subjects, the LSMA and LACA. Our interest in ACA areas was based on the recent studies (26, 27) that have shown a negative correlation between subject’s RT and brain activation in ACA area, eg, fast RTs were correlated with larger (wider) brain activity. Unfortunately, only three men and three women had activation of the left ACA, which precluded subsequent evaluation of this area on statistical tests.

When we compared volumes of brain activation in RV, LV, and LM1 on fixed effects individual maps (Table 1), we failed to find any significant differences between paired subjects. Analysis of the group data revealed that men showed consistently larger volumes of activation in both visual and primary motor areas both on the fixed and random effects group maps. Since it is not unusual for some voxels with slightly subthreshold activation to show suprathreshold activation on groups’ maps, we performed a two-way *t* test to compare the activation pattern of the groups. A two-way *t* test of men’s versus women’s brain activation volumes, performed as a part of random effects analysis, showed no significant difference in brain activation at any specified site (RV, LV, LM1, LSMA, LACA). However, a difference was seen in right inferior parietal lobule (BA 40), right insula, and left thalamus (Fig 5) with larger volume of activation among men than among women. We believe that these findings support the notion that there is no significant sex difference in activation of the visual and left motor cortices by using our SRT single event paradigm.

There are many factors that may influence subjects’ RT in the comparatively familiar setting of testing room. These include the subject’s age, sex, attentional-arousal state, practice and anticipation of the stimuli, caffeine use, and cardiovascular status, and the type, intensity, and background of the stimulus and the complexity of the task. The noisy, unfamiliar, anxiety-provoking, and cramped nature of the imaging environment creates additional distractions as well as confounding variables with fMRI paradigms. In the present study, we used a visuomotor SRT due to its simplicity, bearing in mind that SRT tasks involve little if any cognitive processing and that the loud MR system sounds should have less impact on a SRT focused on motor and visual activation (28). On the basis of the previous studies, using visuomotor paradigms, we assumed that the major factors that might influence the brain activation maps would be sex, age, performance (or subject’s RT), practice and anticipation of the stimuli and attentional and arousal state of the subject.

## Conclusion

On the basis of these findings, we believe that a subject’s sex has little influence on the volume of activation in the visual cortices and in the left sensorimotor area during SRT visuomotor fMRI paradigms.

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*   Received July 15, 2002.
*   Accepted after revision September 18, 2002.


*   Copyright © American Society of Neuroradiology