Structural Differences in the Cerebral Cortex of Healthy Female and Male Subjects: An MRI Study Thomas E. Schlaepfer, MD; Gordon J. Harris, PhD; Allen Y. Tien, MD; Luon Peng; Seong Lee and Godfrey D. Pearlson; MD Division of Psychiatric Neuroimaging Department of Psychiatry The Johns Hopkins Medical Institutions PDF version for Internet Distribution as published in Psychiatry Research-Neuroimaging 61:129-135, 1995 The copyright has been transferred to: Elsevier Science Ireland Ltd. Address Correspondence To: Thomas E. Schlaepfer, MD. The Johns Hopkins Hospital Department of Psychiatry / Meyer 3 - 166 600 N. Wolfe St. Baltimore, MD 21287 - 7362 phone: fax: e-mail: (410) 955 - 4725 (410) 614 - 3676 [email protected] Schlaepfer et al. CORTICAL GENDER DIMORPHISM 2 ABSTRACT There are both reproductive and non-reproductive behavioral differences between men and women. Brain regions involved in determining sexual behavior have been reported to differ between the sexes. Non-reproductive, cognitive functional differences between sexes might be reflected in higher-order cortical structural dimorphisms, which have not previously been studied. We hypothesized that cortical regions involved in verbal behavior (which is sexually dimorphic) would differ between sexes. Using magnetic resonance imaging we assessed gray matter volumes in several cortical regions in 17 women and 43 men. Women had 23.2% (dorsolateral prefrontal cortex) and 12.8% (superior temporal gyrus) greater gray matter percentages (corrected for overall brain size and age) than men in language-related, but not in a more visuo-spatially-related cortical region (p<0.001). These data seem to establish sexually dimorphic structural differences in the cerebral cortex, consistent with prior cerebral blood flow reports. Key Words. Heteromodal Association Cortex, gender dimorphism, cortical gray matter volume, verbal fluency, magnetic resonance imaging Schlaepfer et al. CORTICAL GENDER DIMORPHISM 3 INTRODUCTION Men and women differ not only in their biology but also in their reproductive and non-reproductive behavior. Brain regions involved in controlling sexual behavior have been reported to differ between the sexes (Swaab, et al., 1985). Non-reproductive, cognitive functional differences between sexes might be reflected in higher-order cortical differences, which to our knowledge have not previously been studied. The purpose of this study was to investigate structural differences of cerebral cortex between men and women. Sexually dimorphic behaviors include both reproductive and cognitive elements. Neuropathological studies report gender differences in several human brain regions related to reproductive behavior (Swaab, Fliers, et al., 1985; Allen, et al., 1989). There are preliminary reports that homosexual men have subcortical brain regions which resemble those of women more than those of heterosexual men. For example, the suprachiasmatic nucleus of the hypothalamus was found to be 1.7 times larger in heterosexual men than in men with homosexual orientation (Swaab, et al., 1990). Another nucleus of the hypothalamus, INAH-3, which is known to be smaller in women, was found to be smaller in homosexual than in heterosexual men (LeVay, 1991). It has been established that there are subtle sexual differences in human cognitive functions (Maccoby, et al., 1974). A consistent finding is that males tend to perform better in tasks requiring the mental ability to retain and manipulate spatial and numeric data that cannot be solved verbally (Benbow, et al., 1980; Holden, 1991), whereas females generally have greater verbal abilities (Bakan, et al., 1974; Gladue, et al., 1990). This cognitive dimorphism should also be reflected in functional and/or structural brain differences between the sexes, analogous to the neuroanatomic dimorphism related to reproductive behavior. Several such structural differences have been established in volumetric postmortem neuropathology studies. A recent study reported that handedness correlated with anatomy of the Sylvian fissure in men but not in women (Witelson, et al., 1992). It has also been reported that the caudal portions and the splenium of the corpus callosum are larger in women than in men (de LaCoste-Utamsing, et al., 1982). A similar study suggested that the anterior commissure is also larger in Schlaepfer et al. CORTICAL GENDER DIMORPHISM 4 women, and even larger in homosexual men (Allen, et al., 1992). Functionally, a cerebral blood flow study found higher cortical blood flow in women than in men (Gur, et al., 1982), which was hypothesized to be related to increased gray matter volume in women. Such differences, if they exist, may well play an important role in cognitive differences. However, to date there are no post-mortem or in-vivo volumetric studies directly comparing regional cortical volumes in healthy women and men. Since women perform better on verbal fluency tasks than men (Bakan and Putnam, 1974; Gladue, Beatty, et al., 1990), we hypothesized that cortical regions involved in verbal fluency would show greater gray matter volume in women. Two cortical areas, the superior temporal gyrus (STG) (Milner, 1971), and the dorsolateral prefrontal cortex (DLPFC) (Luria, 1970), are closely linked to higher order verbal function. We used magnetic resonance imaging (MRI) to study cortical gray matter volumes in STG and DLPFC in healthy women and men. These regions are both part of the heteromodal association cortex (HASC); a highly integrated and reciprocally connected system, which is of importance in coordinating sensory, motor, and behavioral activities (Flechsig, 1896; Mesulam, 1985; Gur, et al., 1993; Schlaepfer, et al., 1994). A third region belonging also to the HASC system is the inferior parietal lobule (IPL). This region is additionally to verbal function mainly related to visuo-spatial processing (Fried, et al., 1982). Therefore IPL was used to control for regional specificity. MATERIAL AND METHODS Subjects Study subjects were 17 women (age 33.7 ± 9.1 years), and 43 men (30.7 ± 7.4 years) recruited from Johns Hopkins Hospital staff and the community. Age was not significantly different between men and women. Subjects were screened for mental disorders by a psychiatrist using the Structured Clinical Interview for DSM-III-R (SCID) (Spitzer, et al., 1990). They had no history of current or past substance abuse or neurological illness (including head trauma causing unconsciousness greater than one hour), and no personal or family history of major psychiatric illness. This project was approved by the Johns Hopkins Joint Schlaepfer et al. CORTICAL GENDER DIMORPHISM 5 Committee on Clinical Investigations (JCCI), and written informed consent was obtained from all subjects. Equipment and Scan Protocol Magnetic resonance images were acquired on a General Electric (Milwaukee, WI) 1.5 Tesla Signa scanner. Contiguous, 5mm thick axial slices were acquired with simultaneous T2 and proton sequences. The images extended from the base of the cerebellum to the vertex, parallel to the anterior commissure-posterior commissure (AC-PC) line. Scan parameters were TR = 2500, TE = 20/80. Number of excitations was one. The analysis software described in this paper was developed in-house in "C" and "XWindows" on a Digital Equipment Corp. (DEC, Nashua, NH) DECstation 3100 workstation with color graphics monitor operating under Ultrix-32 v.4.2. The images were archived on read/write magneto-optical disks (300 Mb per side). Image analysis We examined gray matter volume using quantitative MRI segmentation methods (Harris, et al., 1991; Harris, et al., 1994) in STG and DLPFC regions in all subjects (Figures 1 and 2), and compared these volumes among the two groups. We also calculated IPL gray matter, total brain, cerebrospinal fluid (CSF), gray, and white matter volumes, and computed all measures as a percentage of total brain volume to correct for differences in brain size. The reliability and validity of the segmentation method used in this study have been presented in detail previously (Harris, Rhew, et al., 1991; Harris, Barta, et al., 1994). We performed global gray-white-CSF segmentation on all slices. Regional segmentation was done on ten selected slices ranging from the temporal lobe (three slices below that one in which the frontal horns of the lateral ventricles were closest together corresponding to Slice 8-9 of the Talairach atlas (Talairach, et al., 1988)) to six slices above this frontal horn slice. Approximations to the three heteromodal association cortex regions were defined as described earlier (Harris, Barta, et al., 1994; Schlaepfer, Harris, et al., 1994). Superior temporal lobe area was defined on the bottom two slices, in the second and third most anterior cortical regions. The dorsolateral prefrontal cortex was defined on the fourth through seventh slice from the bottom in the second most anterior cortical region. The inferior parietal cortex was defined on the sixth and seventh slice from the bottom Schlaepfer et al. CORTICAL GENDER DIMORPHISM 6 in the fourth most anterior cortical region. These cortical regions were defined as the HASC areas for data analysis. We approximated definition of these regions using a cortical profiling approach described previously (Harris, Barta, et al., 1994), which defines a 2cm wide ring of cortex, which is divided into five equiangular regions per hemisphere. A slicewise view of these regions is shown in Figure 1, and an approximate surface projection of these regions on a volume rendered brain is shown in Figure 2. Data Analysis Analysis of covariance was performed with the percentage of gray matter in DLFPC, STG and IPL areas in relation to total brain volume as dependent variables and age as covariate to account for age-related volume changes for all measures. RESULTS As shown in Table 1, women had significantly smaller brain volumes (F = 8.86, p < 0.001) than men. Gray matter percentages were calculated to correct for the smaller brain size in women. Women had significantly higher gray matter percentage than men in DLPFC (F = 21.9; p<0.0001), and STG (F = 7.8; p < 0.001)(Figure 3). Women had 23.2% greater DLPFC, and 12.8% greater STG gray matter percentage than did men. IPL gray matter percentage (F = 2.2, n.s.), and overall gray matter (F = 0.9, n.s.), white matter (F = 2.1, n.s.) and CSF percentages (F = 0.2, n.s.) were not significantly different between groups (Table 1). Schlaepfer et al. CORTICAL GENDER DIMORPHISM 7 DISCUSSION Our finding of a smaller total brain volume in healthy female subjects agrees with previous findings (Dekaban, 1978; Ho, et al., 1980). Furthermore, increased STG and DLPFC gray matter percentage in women is consistent with prior reports of increased corpus callosum width in women (de LaCoste-Utamsing and Holloway, 1982; Holloway, et al., 1986). Since women have relatively more cortical gray matter, it would be necessary to have more axonal interconnections, hence larger corpora callosi. Since females have smaller brains, the fact that our method used a fixed cortical rim thickness (2 cm) may lead to a higher proportion of brain being designated as cortical regions in females than males. However the differences we detected were regional and not global. Several groups have reported higher cerebral blood flow (CBF) for females compared to men using methods like 133xenon inhalation (Gur, Gur, et al., 1982; Shaw, et al., 1984; Devous, et al., 1986). It has been observed, that these differences in CBF might be attributable to artifacts of the 133xenon technique like possible male-female differences in the blood brain partition coefficient for xenon (Daniel, et al., 1988). However, other groups found higher brain metabolic rates for glucose in females in studies using positron emission tomography (Baxter, et al., 1987; Yoshii, et al., 1988). We feel that the relatively higher gray matter volume of dorsolateral prefrontal cortex (DLPFC) and superior temporal gyrus (STG) in females might account for the findings of higher blood flow and higher metabolic rates in females. Since the cortex of the inferior parietal lobule (IPL) is involved in part in processing visuo - spatial information (Fried, Mateer, et al., 1982) and men tend to perform better on tasks involving visuo - spatial abilities (Benbow and Stanley, 1980; Holden, 1991), higher gray matter volumes in this region might have been predicted for male subjects. There is also evidence that the region around the IPL mediates short - term verbal memory (Ojemann, et al., 1979) and other language related functions (Ojemann, et al., 1989). We therefore hypothesize that in IPL a tendency to higher relative gray matter volume in men related to the better visuo spatial abilities is counterbalanced by less gray matter due to poorer verbal abilities. Schlaepfer et al. CORTICAL GENDER DIMORPHISM 8 Despite the fact that we studied a relatively large number of subjects using a method with proven reliability, this study has two important shortcomings: Since we used cortical profiles with a predetermined thickness, our measurements likely include slightly different structures in brains of different sizes, which could conceivably lead to a systematic measuring bias. Any such effect of brain volume on regional distribution of gray matter in he normally smaller-headed female subjects would be expected to lead to the same significant decreases in Heteromodal Association Cortex gray matter volume as those we documented previously in a study of (smaller-headed) schizophrenic subjects (Schlaepfer et al., 1994). In fact the opposite was found in this study. An other shortcoming is that the index regions of interest were only approximations of HASC regions. Gender related differences might also involve MRI technical factors such as partial volume effects, or between - group differences in gyral patterns or overall brain structural relationships. However, our findings, although preliminary in nature, suggest that there are localized structural gender-related differences in the cerebral cortex, in regions involved in control of language functions. The specificity of increased gray matter in women in higher order cortical centers concerned with verbal function may be related to prior findings of sexually disparate verbal cognitive performance (Bakan and Putnam, 1974; Benbow and Stanley, 1980; Gladue, Beatty, et al., 1990; Holden, 1991). Acknowledgments. This work was supported by a grant of the Swiss National Science Foundation (Dr. Schlaepfer) and NIH grants MH40391, MH43775, OPCRC-RR0722 (Dr. Pearlson). Schlaepfer et al. CORTICAL GENDER DIMORPHISM 9 REFERENCES 1. Allen, L.S.and Gorski, R.A. Sexual orientation and the size of the anterior commisure in the human brain. Proceedings of the National Academy of Sciences, USA, 89:7199-7202, 1992. 2. Allen, L.S.; Hines, M.; Shryne, J.E.and Gorski, R.A. Two sexually dimorphic cell groups in the human brain. Journal of Neuroscience, 9:497-506, 1989. 3. Bakan, P.and Putnam, W. Right-left discrimination and brain lateralization. Sex differences. Archives of Neurology, 30:334-335, 1974. 4. Baxter, L.R.; Mazziotta, J.C.; Phelps, M.E.; Selin, C.E.; Guze, B.H.and Fairbanks, L. Cerebral glucose metabolic rates in normal human females versus normal males. Psychiatry Research, 21:237-245, 1987. 5. Benbow, C.P.and Stanley, J.C. Sex differences in mathematical ability: Fact or artifact? Science, 210:1262-1264, 1980. 6. Daniel, D.G.; Mathew, R.J.and Wilson, W.H. Sex roles and regional cerebral blood flow. Psychiatry Research, 27:55-64, 1988. 7. de LaCoste-Utamsing, C.and Holloway, R.L. Sexual dimorphism in the human corpus callosum. Science, 216:1431-1432, 1982. 8. Dekaban, A.S. Changes in brain weights during the span of human life: relation of brain weights to body heights and body weights. Annals of Neurology, 4:345-356, 1978. 9. Devous, M.D.; Stokely, E.M.; Chehabi, H.H.and Bonte, F.J. Normal distribution of regional cerebral blood flow measured by dynamic single-photon emission tomography. Journal of Cerebral Blood Flow and Metabolism, 6:95-104, 1986. 10. Flechsig, P. Die Lokalisation der geistigen Vorgänge insbesondere der Sinnesempfindungen des Menschen. Leipzig: Verlag von Veit & Co., 1896. Schlaepfer et al. CORTICAL GENDER DIMORPHISM 10 11. Fried, I.; Mateer, C.; Ojemann, G.; Wohns, R.and Fedio, P. Organization of visuospatial functions in human cortex. Evidence from electrical stimulation. Brain, 105:349-371, 1982. 12. Gladue, B.A.; Beatty, W.W.; Larson, J.and Staton, R.D. Sexual orientation and spatial ability in men and women. Psychobiology, 18:101-108, 1990. 13. Gur, R.C.; Gur, R.E.; Obrist, W.D.; Hungerbuhler, J.P.; Younkin, D.; Rosen, A.D.; Skolnick, B.E.and Reivich, M. Sex and handedness differences in cerebral blood flow during rest and cognitive activity. Science, 217:659-661, 1982. 14. Gur, R.E.and Pearlson, G.D. Brain imaging in schizophrenia: A review. Schizophrenia Bulletin, 19:337-354, 1993. 15. Harris, G.J.; Barta, P.E.; Peng, L.W.; Lee, S.; Brettschneider, P.D.; Shah, A.; Henderer, J.D.; Schlaepfer, T.E.and Pearlson, G.D. MR gray and white matter segmentation using manual thresholding: Dependence on image brightness. American Journal of Neororadiology, 15:225-230, 1994. 16. Harris, G.J.; Rhew, E.H.; Noga, T.and Pearlson, G.D. User-friedly method for rapid brain and CSF volume calculation using transaxial MRI images. Psychiatry Research: Neuroimaging, 40:61-68, 1991. 17. Ho, K.C.; Roessmann, U.; Straumfjord, J.V.and Monroe, G. Analysis of brain weight. I. Adult brain weight in relation to sex, race, and age. Archives of Pathology & Laboratory Medicine, 104:635-639, 1980. 18. Holden, C. Is “gender gap” narrowing? Science, 253:959-960, 1991. 19. Holloway, R.L.and de LaCoste, M.C. Sexual dimorphism in the human corpus callosum: An extension and replication study. Human Neurobiology, 5:85-91, 1986. 20. LeVay, S. A difference in hypothalamic structure between heterosexual and homosexual men. Science, 253:1034-1037, 1991. 21. Luria, A.R. Traumatic Aphasia. Paris: Mouton, 1970. Schlaepfer et al. CORTICAL GENDER DIMORPHISM 11 22. Maccoby, E.and Jacklin, C. The psychology of sex differences. Stanford, Calif.: Stanford Univ. Press, 1974. 23. Mesulam, M.M. Principles of behavioral neurology. Philadelphia: F. A. Davis Company, 1985. 24. Milner, B. Interhemispheric differences in the localization of psychological processes in man. British Medical Bulletin, 27:272-277, 1971. 25. Ojemann, G.and Mateer, C. Human language cortex: localization of memory, syntax, and sequential motor-phoneme identification systems. Science, 205:1401-1403, 1979. 26. Ojemann, G.; Ojemann, J.; Lettich, E.and Berger, M. Cortical language localization in left, dominant hemisphere. An electrical stimulation mapping investigation in 117 patients. Journal of Neurosurgery, 71:316-326, 1989. 27. Schlaepfer, T.E.; Harris, G.J.; Tien, A.Y.; Peng, L.W.; Lee, S.; Federman, E.B.; Chase, G.A.; Barta, P.E.and Pearlson, G.D. Decreased regional cortical gray matter volume in schizophrenia. American Journal of Psychiatry, 151:842-8, 1994. 28. Shaw, T.G.; Mortel, K.F.; Meyer, J.S.; Rogers, R.L.; Hardenberg, J.and Cutaaia, M.M. Cerebral blood flow changes in benign aging and cerebrovascular disease. Neurology, 34:855-862, 1984. 29. Spitzer, R.L.; Williams, J.B.W.; Gibbon, N.and First, M.B. Structured Clinical Interview for DSM-III-R — Patient Edition (SCID-P, Version 1.0). Washington, DC: American Psychiatric Press, 1990. 30. Swaab, D.F.and Hofman, M.A. An enlarged suprachiasmatic nucleus in homosexual men. Brain Research, 537:141-148, 1990. 31. Swaab, F.; Fliers, E.and Partiman, T.A. A sexually dimorphic nucleus in the human brain. Science, 228:1112-1115, 1985. Schlaepfer et al. CORTICAL GENDER DIMORPHISM 12 32. Talairach, J.and Tournoux, P. Co-Planar stereotaxic atlas of the human brain. New York: Thieme Medical Publishers, Inc., 1988. 33. Witelson, S.F.and Kigar, D.L. Sylvian fissure morphology and asymmetry in men and women: Bilateral differences in relation to handedness in men. The Journal of Comparative Neurology, 323:326-340, 1992. 34. Yoshii, F.; Barker, W.W.; Chang, J.Y.; Loewenstein, D.; Apicella, A.; Smith, D.; Boothe, T.; Ginsberg, M.D.; Pascal, S.and Duara, R. Sensitivity of cerebral glucose metabolism to age, gender, brain volume, brain atrophy, and cerebrovascular risk factors. Journal of Cerebral Blood Flow & Metabolism, 8:654-661, 1988. Schlaepfer et al. CORTICAL GENDER DIMORPHISM 13 FIGURE CAPTIONS Figure 1: Seven gray/white/CSF segmented MRI slices are shown with regions of interest approximating to dorsolateral prefrontal cortex (DLPFC, red stippling), superior temporal gyrus (STG, blue stippling), and inferior parietal lobule (IPL, black stippling). Schlaepfer et al. CORTICAL GENDER DIMORPHISM 14 Figure 2: Lateral view of brain surface in a three-dimensionally volume rendered brain image. Approximate projected areas of dorsolateral prefrontal cortex (DLPFC, red stippling), superior temporal gyrus (STG, blue stippling), and inferior parietal lobule (IPL, black stippling), the regions described in Figure 1, are shown. Selected slice planes are shown as white parallel lines. Schlaepfer et al. CORTICAL GENDER DIMORPHISM 15 Figure 3: Gray matter as percentage of total brain volume for dorsolateral prefrontal cortex (DLPFC), superior temporal gyrus (STG), and inferior parietal lobule (IPL) are displayed. Error bars represent the 95% confidence interval. Values for female subjects are significantly different from male subjects for dorsolateral prefrontal cortex (DLPFC, F = 21.9, p < 0.0001) and superior temporal gyrus (STG, F = 7.8, p < 0.001). There was no difference for the inferior parietal lobule (IPL, F = 2.2, n.s). Gray Matter (% of Brainvolume) 2 Male Female 1 0 DLPFC STG IPL
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