EFTA02674728.pdf

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Authors requiring further information regarding Elsevier's archiving and manuscript policies are encouraged to visit: http://www.elsevier.com/copyright EFTA R1_01956840 EFTA02674728  CORTEX 49 (2013) 200-210 Available online at www.sciencedirect.com tj..%; As OAT SciVerse ScienceDirect ELSEVIER Journal homepage: www.elseviercomilocate/cortex Research report Hemispheric asymmetries of cortical volume in the human brain Elkhonon Goldberg °.`, Donovan Roediger°, N. Erkut Kucukboyaci (lib, Chad Carlson', Orrin Devinsky a, Ruben Kuznieckyd, Eric Halgren b and Thomas Thesena "New York University School of Medicine, New York, NY, USA Multimodal Imaging Laboratory, University of California, San Diego, CA, USA ARTICLE INFO ABSTRACT Article history: Hemispheric asymmetry represents a cardinal feature of cerebral organization, but the Received 19 June 2011 nature of structural and functional differences between the hemispheres is far from fully Reviewed 2 September 2011 understood. Using Magnetic Resonance Imaging morphometry, we identified several Revised 27 September 2011 volumetric differences between the two hemispheres of the human brain. Heteromodal Accepted 28 October 2011 inferoparietal and lateral prefrontal cortices are more extensive in the right than left Action editor Alan Beaton hemisphere, as is visual cortex. Heteromodal mesial and orbital prefrontal and cingulate Published online 19 November 2011 cortices are more extensive in the left than right hemisphere, as are somatosensory, parts of motor, and auditory cortices. Thus, heteromodal association cortices are more exten- Keywords: sively represented on the lateral aspect of the right than in the left hemisphere, and MRI morphometry modality-specific cortices are more extensively represented on the lateral aspect of the left Cortical asymmetry than in the right hemisphere. On the mesial aspect heteromodal association cortices are Hemispheric specialization more extensively represented in the left than right hemisphere. Prefrontal cortex O 2011 L1sevier Ltd. All rights reserved. Parietal cortex 1. Introduction between brain biology and function may be expressed on many levels other than that of gross morphology (cytoarchi- Hemispheric specialization is among the central features of tectonic, biochemical, etc.). Thus any attempt to infer regional functional cortical organization in humans. Recognition of the brain function from regional brain morphology, however functional differences between the hemispheres often trig- tempting. requires great caution and any assertion of a "bigger gers interest in their morphological differences and vice versa. is better" structure—function relationship must be tempered Indeed, gross morphological differences between the by this caveat. Such concerns notwithstanding, evidence is hemispheres are particularly interesting if they can be related growing that a reasonably direct 'bigger is better" relationship to functional differences. The degree to which such relation- often does exist between functional proficiency and gross ships can be drawn remains uncertain, since the relationship morphometric cortical characteristics of the underlying Authors' Note: The study was approved by the Institutional Review Board of New York University. Written informed consent was obtained from all participants involved in the study. We thank Dmitri Bougakov, Barry Cohen, Michal Harciarek, Dolores Malaspina, Ralph Nixon, and Kenneth Podell for their comments. ' Corresponding author. NYU School of Medicine 145 Cast 32nd Street 5th Floor, New York, NY 10016, USA. E-mail addresses: (E. Goldberg). 0010.94521$ - see front matter Cr 2011 E sewer Lt n Its resery doi:10.10166.cortex.2011.11.002 EFTA_R1_01956841 EFTA02674729  CORTEX 44 (2013) 200-210 201 substrate, such as regional volume or surface area size (Goldberg and Costa, 1981). If this were to be the case, the (Blackmon et al., 2010; Draganski et al., 2004; Fleming et al., functional implications of such cortical space allocation 2010; Maguire et al., 2000; Schneider et al., 2002). differences could be intriguing and would merit further Early efforts to identify morphological hemispheric asym- examination. However, this assertion was based on old find- metries were to a large degree motivated by the desire to ings and was limited to cortical convexity; therefore its val- identify the biological bases of the asymmetric cortical idity must be re-examined with up-to-date methods which language representation. A number of morphological asym- would target both lateral and mesial aspects of the hemi- metries have been described, notably involving plenum tem. spheres. Here, we report hemispheric differences in regional porcde and pars opercularis, and their relationship to left human brain volume across multiple cortical regions, both hemispheric dominance for language asserted, but some of lateral and mesial, using the more recently developed Free- the particularly influential findings were reported several Surfer Magnetic Resonance Imaging (MR!) processing meth- decades ago using what methodologies were available then odology (Fischl and Dale, 2000; Fischl et al., 2004). The (Geschwind and Levitsky, 1968; Galaburda et al., 1978; LeMay particular focus of this paper is to ascertain any systematic and Culebras, 1972). Subsequent research confirmed these differences in cortical space allocation to heteromodal versus structural asymmetries (Foundas et al., 1994, 1995; Anderson modality-specific cortices in the two hemispheres. et al., 1999; Watkins et al., 2001) but demonstrated that the relationship between structural asymmetries in the plenum tempora/e and language lateralization is not nearly as strong or 2. Methods as direct as asserted earlier, and the very existence of such a relationship has been scrutinized (Beaton, 1997). Other 2.1. Participants structural asymmetries have also been described and subse- quently confirmed, notably eYakovlevian torque" (Yakovlev, Structural MRI data from adults (N = 39) aged 19-40 1972; Yakovlev and Rakic, 1966; Watkins et al., 2001; Nan — 27.75, standard deviation — SD, — 6.12; 19 females et al., 2007) characterized by the right frontal and left occip- and 20 males) were analyzed. Participants were all right- ital protrusions, whose possible relationship to any functional handed as determined by the Edinburgh Handedness Inven- asymmetries remains unclear. Regional hemispheric asym- tory (Oldfield, 1971) with scores ranging from 40 to 100. They metries both in cortical thickness (Luders et al., 2006) and were all free of neurological, psychiatric, or neuro- volume (Good et al., 2001), both in gray and white matter developmental disorders based on screening interviews. They (Penhune et al., 1996; Takao et al., 2011) have been reported. were recruited as part of a community-based normative Any morphometric comparison of the two hemispheres reference sample at NYU Comprehensive Epilepsy Center. may be complicated by individual variability, which is particularly pronounced in certain structures, e.g., anterior 2.2. Imaging data acquisition cingulate and paracingulate cortex (Fornito et al.. 2004; Huster et al., 2007). Furthermore, there is a growing appreciation of Two T1-weighted volumes (TE = 3.25 msec, TR = 2530 msec, sex-linked differences in regional brain morphology TI = 1.100 msec, flip angle = 7', field of view (FOV) = 256 mm, (Witelson, 1989; Habib et al., 1991; Crespo-Facorro et al., 2001), voxel size — 1 x 1 1.33 mm) were obtained for each partici- including hemispheric asymmetries (Luders et al., 2009; Raz pant on a 3T Siemens Allegra scanner, acquisition parameters et al., 2004), as well as age-related hemispheric differences optimized for increased gray/white matter contrast, rigid body (Raz et al., 2004; Shaw et al., 2009). co-registered, and common space-reoriented. Images were Our understanding of the functional differences between automatically corrected for spatial distortion, registered, the two hemispheres has also been refined beyond the classic averaged to improve signal-to-noise ratio, and processed with distinction between verbal and visuo-spatial asymmetries. the FreeSurfer (4.0.2) software (http://surfer.mnr.mgh. Additional functional differences have been described, notably harvard edu). Each TI-weighted image took 8:07 min. those linking the right hemisphere to cognitive novelty and exploratory behavior and the left hemisphere to cognitive 2.3. Imaging data processing familiarity and routinization. Since this functional asymmetry was first proposed (Goldberg and Costa. 1981; Goldberg et al., Averaged volumetric MRI images were used to model each 1994a), it has found support with various neuroimaging tech- subject's cortical surface with an automated procedure niques, including PET (Gold et al., 1996; Shadmehr and involving white-matter segmentation, gray/white matter Holcomb, 1997), fMRI (Henson et al., 2000), and high- boundary tessellation, inflation of folded surface tessellation, frequency EEG (Kamiya et al., 2002). It has been argued that and automatic topological defect correction (Dale et al., 1999; the "novelty-routinization" functional hemispheric asymme- Fisch] et al., 2001). try is fundamental and irreducible to the more commonly Automated analysis was performed on a 156 node invoked language-visuospatial asymmetry, since it is present computing cluster and took approximately 32 h per scan. Each in a wide range of mammalian species (Vallortigara, 2000; analysis was then manually inspected which took, depending Vallortigara and Rogers, 2005; Vallortigara et al., 1999). on segmentation quality, 20-40 min. Measures of cortical To account for these functional differences, it has been thickness were obtained by constructing estimates of the gray/ proposed that systematic differences between the two hemi- white matter boundary by classifying all white matter voxels in spheres exist in relative cortical space allocation to hetero- the MRI volume. The white matter surface was submillimeter modal association cortices versus modality-specific cortices accuracy-refined in delineating the gray/white matter EFTA_R1_01956842 EFTA02674730 202 CORTEX 49 (2013) 200-210 junction. Estimates of cortical thickness were made by conducted in terms of ROls volumes, each derived from measuring (1) the shortest distance from each point on the cortical thickness measures and surface area parcellation white matter surface to the pial surface, and (2) the shortest boundaries. We found multiple regional hemispheric asym- distance from each point on the pial surface to the white metries which are summarized in Fig. 1 and Table 1. In order matter surface. Cortical thickness at each vertex was to highlight the most robust and best articulated patterns of computed as the average of the two values. The accuracy of asymmetries, the results and discussion below detail only automatic parcellation methods is often undermined by indi- those asymmetries which remained significant at p < .05 level vidual variability. For this and other reasons, manual quality after a rigorous Bonferroni correction for multiple compari- inspection was performed on all reconstructions and required sons was applied (a = .00067). This correction, which lowers manual intervention in 5% of scans. All of these cases were Type I errors at the expense of Type II errors, highlighted the reinspected and all yielded good segmentation results. Maps most prominent asymmetries. These are summarized in Fig. 2 were smoothed with a Gaussian kernel (10 mm FWHM) across and described below. Here we present the result of regional the surface. Cortical surfaces from different individuals were cortical volume comparisons. We found that regional cortical morphed to a common reference brain by aligningsulcal—ural surface comparisons were generally consistent with the patterns while minimizingshear and metric distortions (Fisch' volume comparisons Thickness comparisons yielded few et al.. 1999). Automatic parcellation of the cortical surface was significant asymmetries when rigorous statistical criteria performed with sulco-gyral neuroanatomic labels derived by were used. probabilistic information. Past research has validated these automatic labels against anatomical manual labels and 85% of 3.1. Whole-sample asymmetries (males and females the surface was found to be concordant (Destrieux et al., 2009. combined) 2010). Parcel regions of interest (ROI) designation as 'gyms" or "sulcus- was based on the values of local mean curvature and Fig. 1A shows uncorrected p values, while Fig. 2A shows post- average convexity, obtained from the reconstructed cortical Bonferroni significant asymmetries for the whole sample. The surfaces output from FreeSurfer, relative to a given threshold; superior frontal gyrus, superior frontal sulcus, frontomarginal vertices with values below the threshold were considered sulcus, suborbital sulcus, gyrus rectus, postcentral gyrus, sulcal, and vertices with values equal to or above this threshold postcentral sulcus, cingulate gyrus, paracentral gyrus, were considered gyral. A total of 75 ROI were identified in each subcentral gyrus, transverse temporal gyri, superior temporal hemisphere. In each ROI, cortical thickness estimates were gyms (lateral aspect). planum temporale, superior parietal averaged across all vertices. Regional volumes were calculated gyrus, anterior occipital sulcus, ascending ramus of the lateral as the product of surface area and average cortical thickness. fissure, and circular insular sulcus (superior and inferior For the whole-sample analysis, a laterality index (LI) — as aspects) were larger in the left than right (L > It) hemisphere defined by Nagata et al. (2001) — was used to control for sex- across the whole sample (all p values < .00067). Conversely, linked variability in global brain volume. Regional LI values the inferior parietal gyrus, superior occipital gyms, lingual were calculated for each subject using the following equation: gyrus, calcarine sulcus, lateral fissure (posterior segment), collateral transverse sulcus, middle frontal sulcus, subparietal Left - Right LI - xl00 sulcus, anterior subcentral sulcus, superior temporal sulcus, Left t Right cingulate sulcus, the lateral aspect of orbital gyri, pericallosal This index spans from -100 to 100 with positive values sulcus, and Jensen sulcus were larger in the right than left indicating leftward asymmetry, negative values indicating (R > L) hemispheres (all p values < .00067). This is summarized rightward asymmetry, and zero indicating perfect symmetry. in Fig. 2A, where regions larger in the right hemisphere are For each ROI, a two-tailed single-sample t-test was used to depicted in yellow and regions larger in the left hemisphere compare the distribution of LI values against zero. To main- are depicted in blue. tain an experiment-wise error rate of .05, Bonferroni correc- tion (a = .00067) was employed to address the problem of 3.2. Analyses of sex-linked differences multiple comparisons, where the number of comparisons was 75. In separate analyses by sex, paired-sample t-tests were When grouped by sex, leftward asymmetries (L > R) of the used to compare left and right regional volumes among each anterior occipital sulcus and lateral aspect of superior pair of contralateral ROls. An identical Bonferroni correction temporal gyms were significant in females (both method was utilized for these pairwise tests. Areas were p values < .00067) but not males (p > .05 and p < .005, considered asymmetric if the statistical significance criterion respectively) while the cingulate gyrus, plenum temporale, (a - .00067) was reached. Reported visualizations map statis- and superior frontal sulcus were significantly larger on the left tical results on the 3D whole brain volume (with the parcel in males (all p values < .00067) but not females (p < .05, boundaries between the structures exhibiting the same p < .005, and p < .005, respectively). Conversely, rightward direction of laterality removed for visual clarity). asymmetry (R > L) of the lingual gyrus occurred in females (p < .00067) but not males (p < .005) and the subparietal sulcus was significantly larger in the right hemisphere in 3. Results males (p < .00067) but not females (p < .005). Notably, the superior temporal and Jensen sulci and the lateral aspect of Since we were interested in the relationship between func- orbital gyri both failed to reach significance in either sex alone tionally distinctive cortical regions, the analysis has been despite displaying significant rightward asymmetry in the EFTA_R1_01956843 EFTA02674731  CORTEX 49 ( 20 1 3) R00-210 203 A Significance (p) <.00005 0005 005 .05 05 .005 .0005 <.00005 L>R R>L Fig. I - Regional conical volume asymmetries in the two hemispheres uncorrected for multiple comparisons. Direction of differences and uncorrected significance levels are coded according to the color bar below: (A) whole-sample, (B) females only, (C) males only. whole-sample analysis. No parcels revealed significant later- As a result, several distinct asymmetry patterns emerged, ality in opposing directions across sexes. which are discussed below. Sex-specific results are detailed in Table 2. Fig. 16 and C shows uncorrected p values for females and males, respec- 4.1. Heteromodal association cortical asymmetries tively, while Fig. 28 and C shows post-Bonferroni significant asymmetries for each sex. Although Figs. 1 and 2 appear to We found differences in the hemispheric representation of suggest sex differences, an ANOVA failed to reveal significant heteromodal association cortices. Heteromodal inferoparietal interactions between sex and laterality in any ROI. and ventrolateral prefrontal cortices are more extensive in the right than left hemisphere. By contrast, mesial and orbital prefrontal and cingulate cortices are more extensive in the left 4. Discussion than right hemisphere. These asymmetries closely parallel the findings by Luders et al. (2006) pertaining to cortical thickness. In this study we intentionally adopted a conservative signifi- Thus it appears that heteromodal association regions found cance criterion for data analysis, in order to identify a rela- on the lateral (convexital) aspect of the hemisphere, are more tively small number of the most robust hemispheric extensive in the right than in the left hemisphere, as predicted differences while possibly overlooking less robust differences. earlier (Goldberg and Costa, 1981). This is true both for the EFTA_R1_01956844 EFTA02674732 204 CORTEX 49 (2013) 200-210 Table 1 Regional volumetric comparisons and Lls — R)/(L + R) x 1001 for males emales combined. For each ROI, the means and SDs of right and left hemisphere cortical volume (mm3) measuremen ell as the means and SDs of Us, dieted. ROI Mean (SD) Sig. Left (mm 3) Right (mm 3) LI Anterior occipital sulcus 1097.4 (274.3) 8952 (298.2) 11.07 (17.52) <.05° Calcarine sulcus 33812 (649.1) 3903.7 (709.3) —7.21 (5.62) <.05° Central insular sulcus 289.1 (81) 258.5 (72.9) 5.73 (20.7) ns. Central sulcus 3609.6 (492) 3488.8 (633) 1.96 (5.57) n.s. Cingulate and intracingulate sulci 6797.9 (956.1) 9525.1 (1372.4) -16.63 (6.06) <.05° Cingulate gyrus 4740.8 (968.5) 3979.2 (710.1) 8.44 (11.18) <.05° Cingulate sulcus (marginalia part) 1332.1 (259.9) 1312.5 (309.3) 1.11 (11.42) ns. Circular sulcus of insula (anterior) 935.5 (153.3) 1050.3 (266.4) -5.06 (8.77) ns. Circular sulcus of insula (inferior) 2299.2 (332.3) 1908.4 (270.8) 9.22 (5.87) <.05° Circular sulcus of insula (superior) 2778 (367.8) 2199.3 (324.6) 11.68 (5.8) <.05° Collateral transverse sulcus (anterior) 1523.3 (388.8) 1673.2 (473.8) -4.47 (15.35) n.s. Collateral transverse sulcus (posterior) 492.8 (155.3) 762.6 (212.9) -21.3 (16.74) <.05" Cuneus 3407.2 (547.6) 3399.4 (654.4) .31 (7.98) ms. Frontomarginal gyms 1032.2 (290.9) 11962 (314.9) -7.71(13.01) n.s. Frontomarginal sulcus 1006.4 (252.7) 764.5 (190.2) 13.19 (14.95) <.05° Gyms realms 2154.4 (361.5) 1669 (302.1) 12.67 (8.52) <.05" H-shaped orbital sulcus 2502 (395.1) 2428.2 (401) 1.55 (8.04) ns. Inferior frontal gyms (opercular part) 3400.2 (653.1) 3150.7 (503) 3.59 (8.45) n.s. Inferior frontal gyms (orbital pan) 871 (241.7) 935,2 (233.6) -4.26 (16.47) ns. Inferior frontal gyms (triangular part) 2298.4 (453) 2704.8 (546.5) .18 (9.12) ns. Inferior frontal sulcus 3101.6 (748.6) 2968.4 (479.9) 1.63 (9.78) n.s. Inferior occipital gyrus and sulcus 2797 (717.6) 2832.9 (628.7) -1.05 (12.42) n.s. Inferior parietal gyms (angular part) 5535.6 (868.2) 6946.9 (1132.1) -11.69 (7.6) <.05° Inferior parietal gyms (supramarginal part) 6671.4 (1173.9) 6465.7 (1011.6) 1.39 (6.57) ns. Inferior temporal gyms 6362.9 (1149.1) 6227 (1315) .89 (2.09) ns. Inferior temporal sulcus 1972.1 (487.2) 1793.4 (444.2) 4.63 (12.13) ns. Insular gyms (long) 870.4 (248.7) 874.4 (172.8) -.84 (9.26) ns. Insular gyms (short) 1852.7 (326.6) 1776.1 (355.4) 2.38 (7.17) n.s. Intraparietal and transverse parietal sulci 3815.8 (522.2) 4022 (579.3) -2.58 (7.02) n.s. Isthmus 351.4 (101.7) 375.3 (100.4) -3.64 (12.05) ns. Lateral fissure (horizontal ramus) 499 (141.6) 578.6 (124.1) -7.81(13.96) n.s. Lateral fissure (posterior) 1638 (271.5) 1968.1 (250.6) -9.34 (7.33) <.05° Lateral fissure (vertical ramus) 598.4 (166.7) 435.1 (139.5) 15.52 (21.28) <.05° Lateral occipittzlemporal gyrus (fusiform) 4522.4 (751) 4192.5 (804.7) 3.92 (8.47) ns. Lateral orbital gyms 6260.5 (998.2) 6802.1 (1197.1) -4.07 (5.4) <.05° Lateral orbital sulcus 628.8 (200.3) 727.4 (299.4) -6.1(17.97) ns. Lingual gyms 5609.9 (930.2) 6546.4 (960.8) -7.78 (7.11) <.05° Medial occipito-temporal and lingual sulci 3187.2 (574.5) 3187.3 (654.1) .11 (7.95) ns. Medial occipito-temporal gyrus 4242.8 (565.7) 4494.5 (554.2) -291(7.24) ns. (parahippoeampal part) Medial orbital sulcus 913 (149.8) 858.3 (173.4) 3.34 (10.05) ns. Medial wall 5543.4 (1079.9) 5513.1 (733.2) -2.1(5.7) ns. Middle frontal gyms 9632.4 (1944.6) 10211.8 (1836.7) -3.1(7.08) ns. Middle occipital gyms 4411.2 (579.7) 4563 (739.8) -1.49 (7.36) n.s. Middle occipital sulcus and sulcus lunatus 1550 (420.7) 1589.4 (534.9) -.32 (17.4) n.s. Middle temporal gyms 8128.8 (1368.6) 8497.4 (1359.7) -2.29 (5.48) n.s. Occipito-temporal sulcus (lateral) 1328.6 (331.5) 1413.6 (338.3) -3.3 (11.28) n.s. Paracentral gyrus 2554.8 (414.5) 2101 (337.4) 9.77 (8.13) <.05' Paracentral sulcus 318.5 (94.2) 275.2 (84.8) 7.52 (18.39) n.s. Parieto-occipital sulcus 2643.4 (541) 2828.1 (496.8) -3.62 (7.44) ns. Pericallosal sulcus 1303.4 (211.3) 1592.1 (275.5) -9.88 (9.03) <.05° Planum polare 1873.4 (387.7) 1950.1 (400.5) -2.05 (9,81) ns. Planum temporale 2293.3 (493.4) 1887.6 (361.7) 9.35 (11.89) <.05° Postcentral gyrus 4201.2 (677) 3556.1 (710.2) 8.57 (6.99) <.05" Postcentral sulcus 3794.8 (648.6) 3006.9 (759.1) 12.13 (8.64) <.05° Precentral gyms 6246.9 (825.9) 6211.5 (959.3) .41 (5.48) ns. Precentral sulcus (inferior part) 2475.8 (571.5) 26152 (317) -3.49 (9.88) ns. Precentral sulcus (superior part) 1933.5 (467.3) 2062.4 (398.2) -3.58 (11.84) ns. Precuneus gyms 5724.6 (800.4) 5285.8 (857.5) -.05 (5.38) n.s. Subcallosal gyrus 315.6 (144.3) 256.6 (81.8) 7.29 (30.36) n.s. EFTA_R1_01956845 EFTA02674733  CORTEX 49 ( 2 0 1 3) R00-210 205 ROI Mean (SD) Left (mm"3) Right (mma3) LI Subcentral VMS 2573.9 (395) 1986.4 (386.4) 13.06 (9.43) ‹.O' Subcentral sulcus (anterior) 163.3 (83.8) 287.9 (109.5) 27.61 (29.22) c.05° Subcentral sulcus (posterior) 499.5 (148.3) 440 (123.2) 5.92 (16.33) n.s. Suborbital sulcus 1007.7 (249.5) 617.1 (185.8) 24.38 (13.13) <.05° Subparietal sulcus 1694.1 (342.2) 2081.9 (484.4) -9.78 (10.09) c.05" Sulcus intermedius primus (Jensen) 546.2 (254) 704.3 (275.5) -13.65 (22.15) ‹.05° Superior frontal gyrus 20151 (2783.3) 18661.6 (2336) 3.75 (2.92) <.054' Superior frontal sulcus 4794.6 (972.9) 4085.2 (909.9) 7.99 (8.3) c.05" Superior occipital gyrus 2455.3 (452) 3098.4 (612.4) -11.34 (8.25) c.05a Superior occipital sulcus and sulcus transversalis 1649.7 (327.5) 1815.1 (327.8) -4.82 (10.95) n.s. Superior parietal gyrus 5735 (977.9) 4746.1 (718.8) 9.25 (6.23) c.05' Superior temporal gyms (lateral aspect) 5907.4 (842.2) 5138.2 (788.9) 7.01 (6.41) c.053 Superior temporal sulcus 8790.3 (1275.9) 9666.6 (1151.9) -4.89 (5.61) <05' Temporal pole 5607.1 (836.1) 5968.2 (678.1) 1.07 (6.29) n.s. Transverse temporal gyms and intermediate sulcus 1087.6 (206.2) 840.1 (184.9) 12.94 (9.61) <.05" Transverse temporal sulcus 531.3 (137.2) 456.7 (100.8) 7.16 (13.78) n.s. a After Bonferroni correction for multiple comparisons. inferoparietal and for parts of the lateral prefrontal regions. By prefrontal regions, as well as for the cingulate cortex. The dual contrast. heteromodal association cortices found on the mesial dissociation in the volumetric asymmetries of lateral versus and orbital aspects of the hemisphere are more extensive in the mesial heteromodal association cortices is not commonly left than in the right hemisphere. This is true for the mesial mentioned in the literature on hemispheric differences, but it Fig. 2 - Regional cortical volume asymmetries in the two hemispheres corrected for multiple comparisons. Regions significantly larger after the correction ( p < .05) in the left hemisphere are in blue; regions significantly larger in the right hemisphere are in yellow: (A) whole-sample, (B) females only, (C) males only. EFTA_R1_01956846 EFTA02674734 206 CORTEX 49 (2013) 200-210 Table 2 Regional volumetric conipariSons In separate sexes. Data are presented separately for males anaemia'. For each ROI, the means and SDs of right and left hemisphere cortical volume (rnma) measurements are listed. ROI Males Females Mean (SD) Sig. Mean (SD) Left (mm"3) Right (mm 3) Left (mm 3) Right (mma3) Anterior occipital sulcus 1092 (272.3) 950.6 (257.8) n.s. 1103.1 (2833) 838.1 (332-8) <.09 Calcarine sulcus 3462.6 (698) 4012.5 (736.4) <.05' 3296.8 (603.3) 3789.1 (680.1) <.051 Central insular sulcus 309.8 (73.4) 274.7 (58.5) n.s. 267.4 (84.8) 241.4 (83.8) as. Central sulcus 36751(596.9) 3670.S (712.4) n.s. 3539.9 (3514) 32973 (484.6) n.s. Cingulate and intracingulate sulci 7042.7 (1030.4) 10100.4 (1375.1) <.0511 65402 (820) 8919.5 (1106.8) <.05" Cingulate gyrus 5140.9 (836.4) 4133.2 (729.2) <.05a 4319.6 (936.3) 3817.1 (670.3) n.s. Cingulate sulcus (marginalis part) 1390.7 (209.8) 1393.1 (331.4) as. 1270.4 (297.3) 1227.7 (266.7) ns. Circular sulcus of insula (anterior) 1009.2 (134.8) 1153.6 (313.7) n.s. 857.9 (134.3) 941.7 (247.1) as. Circular sulcus of insula (inferior) 2417.7 (315.2) 2020.5 (271.6) <.09 2174.4 (310.2) 1790.5 (220) <.05' Circular sulcus of insula (superior) 2928.6 (366.8) 2259.9 (348.5) <.05' 2619.6 (303.2) 2135.5 (293) <.05' Collateral transverse sulcus (anterior) 1548.2 (334.1) 1657.7 (357.5) as. 1497 (447) 1689.5 (381.1) n.s. Collateral transverse sulcus (posterior) 522.5 (184.5) 828.4 (218.7) <.05* 4616 (113.8) 693.4 (188) <.05' Cuneus 3631.2 (480) 3575.4 (783.5) as. 3171.5 (524.8) 3214.3 (430.9) as. Frontomarginal gyms 1154.7 (279.1) 1331.5 (343.5) as. 903.3 (249.5) 1054.9 (208.4) as. Frontomarginal sulcus 1077.7 (252.4) 805.2 (211.3) n.s. 931.4 (236.5) 721.6 (159.6) n.s. Cyrus rectus 2318.7 (328.2) 1800 (310.4) <.05° 1981.5 (317.3) 1531.3 (227.7) <.05' H-shaped orbital sulcus 2573.1 (435.9) 2538.3 (4332) ns. 2427.3 (342.8) 2312.3 (337.3) as. Inferior frontal goys (opercular pan) 3608.3 (766.2) 3252.9 (523.2) as. 3181.1 (426.6) 3043.2 (470.6) as. Inferior frontal gyms (orbital pan) 907.8 (262.4) 989.3 (271.4) n.s. 832.3 (218.2) 878.3 (175.5) n.s. Inferior frontal gyms (triangular part) 2809.5 (520) 2880.6 (537.6) as. 2581.6 (345.9) 2519.7 (504.9) n.s. Inferior frontal sulcus 3274 (960.3) 3085 (582.1) n.s. 2920 (376.7) 2845.6 (312.2) ns. Inferior occipital gyms and sulcus 2997.7 (744.8) 2953 (578.9) n.s. 2585.8 (640) 2706.5 (669.2) n.s. Inferior parietal gyrus (angular part) 5673.6 (872.9) 7436.8 (1035.8) <.05' 5390.3 (862.3) 6431.2 (1044.2) <15" Inferior parietal gyms (suprarnarginal part) 7077.1 (1204) 6718 (1118) n.s. 6244.3 (1001.9) 6200 (834.2) n.s. Inferior temporal gyrus 6877.1 (1152.9) 6610.4 (1209.7) as. 5821.7 (1558) 5823.5 (1330.7) n.s. Inferior temporal sulcus 2104.4 (452.3) 1949.2 (436.8) n.s. 1832.8 (495.2) 1629.3 (399.5) n.s. Insular gyms (long) 880.1 (160.8) 925.2 (122.7) n.s. 860.2 (321) 821.1 (148) as. Insular gyms (short) 1966.4 (312.4) 1931(315) n.s. 1733.1 (304.5) 1623 (327.4) n.s. Intraparietal and transverse parietal sulci 3972.5 (538.7) 4225.4 (6521) n.s. 3651 (461.9) 3807.9 (406.5) n.s. Isthmus 373.6 (117.6) 412.4 (118.6) as. 328 (78.3) 336.2 (57.4) ns. Lateral fissure (horizontal ramus) 528.7 (160) 607 (147.7) n.s. 467.7 (115.3) 548.6 (87.4) ns. Lateral fissure (posterior) 1683.7 (313.7) 2071.6 (277.5) <.05" 1590 (216.9) 1859.1 (163.8) <.05' Lateral fissure (vertical ramus) 602.7 (159.3) 413.6 (139.2) n.s. 593.9 (178.5) 457.8 (139.9) as. Lateral occipito-temporal vats (fusiform) 4629.9 (691) 4588.8 (773.3) n.s. 4409.4 (812.7) 3775.3 (614.3) n.s. Lateral orbital gyros 6686 (964.2) 7314.6 (1339.5) as. 5812.7 (842.4) 6262.6 (729.5) ns. Lateral orbital sulcus 691.4 (218) 790.7 (364.4) ns. 5623 (160.2) 660.7 (199.8) ns. Lingual gyrus 5917.4 (979.4) 6750.1(984.9) n.s. 5286.3 (773.6) 6331.9 (911.2) <.05" Medial occipito-temporal and lingual sulci 3334.1 (492.3) 3461.4 (758.6) n.s. 3032.6 (625.8) 2898.8 (352.8) as. Medial oecipito-temporal gyms 4443.2 (547.1) 4657.3 (514.7) as. 4031.9 (517.8) 4323.1 (555.2) ns. (parahippocampal part) Medial orbital sulcus 9601(1523) 914 (203.5) n.s. 862.8 (132.8) 799.6 (112.5) n.s. Medial wall 5954.4 (9002) 5731.4 (551.7) n.s. 5110.9 (11053) 5283.2 (839.5) n.s. Middle frontal gyms 10194.3 (2124.6) 10775.8 (2222.3) as. 9041.1 (1580.6) 9618 (1087.8) n.s. Middle occipital gyms 4560.4 (585.1) 4793.6 (816.1) n.s. 4254.2 (545.2) 4320.2 (575.4) n.s. Middle occipital sulcus and sulcus lunatus 1576.1 (381.3) 1696.4 (491.6) n.s. 1522.6 (467.6) 1476.7 (568.3) n.s. Middle temporal gyms 8750.1 (1118.5) 9180 (1223.2) n.s. 7474.8 (1324.1) 7778.9 (1123) ns. Occipito-temporal sulcus (lateral) 1410.3 (311.2) 1482.6 (373.5) n.s. 1242.7 (338.5) 1341 (289) as. Paracentral gyms 2692.2 (368.1) 2187.8 (302.7) <.05' 2410.2 (420.3) 2011.7 (432.7) <.05' Paracentral sulcus 329 (103.9) 300.2 (73.2) n.s. 307.5 (84.3) 248.8 (89.9) ns. Parieto-occipital sulcus 2836 (5418) 2962.5 (433.4) n.s. 2440.7 (472.7) 2686.6 (530.6) n.s. Pericallccal sulcus 1367.4 (185.9) 1637.4 (259.8) <.05' 1236 (220.1) 1544.4 (290.3) <.05' Planum polare 1930.8 (425.7) 2051.8 (440.6) n.s. 1812.9 (344.2) 1843.2 (332) as. Planum temporale 2407.9 (581.6) 1889.6 (379.4) <.09 2172.7 (356.4) 1885.5 (352.5) n.s. Postcentral gyrus 4212.6 (775.2) 3691.4 (715.1) <154 4189.2 (577.2) 3413.8 (695.2) <.05" Postcentral sulcus 4077.7 (652.3) 3292.3 (858) <.05' 3497.1 (506.3) 2706.4 (503.7) <.05' Precentral gyrus 6533.2 (884.7) 6609.1 (1039.6) n.s. 5945.6 (653.4) 5792.9 (711.6) n.s. Precentral sulcus (inferior part) 2544.3 (636) 2665 (370.5) ns. 2403.7 (502) 2564.9 (248.8) n.s. Precentral sulcus (superior part) 2083.9 (552) 2239.4 (356.1) n.s. 1775.2 (296.2) 1876.19.6 (359.8) n.s. Precuneus gyms 55913 (929.6) 5663.8 (986.3) n.s. 4942.4 (461.5) 4887.9 (446.9) ns. Subcallosal gyrus 318.8 (155.1) 244.3 (85.5) n.s. 312.3 (136.3) 26 (772) ns. EFTA_R1_01956847 EFTA02674735  CORTEX 49 (2013) 200-210 207 ROI Males Females Mean (SD) Sig. Mean (SD) Sig. Left (mm43) Right (mm43) Left (mm43) Right (mm43) Subcentral gyms 2625.2 (482.1) 2011.2 (400.1) <.05' 2519.8 (279.2) 1960.3 (380.6) <.05° Subcentral sulcus (anterior) 168.8 (95) 301.6 (107.5) n.s. 157.4 (72.2) 273.5 (112.6) n.s. Subcentral sulcus (posterior) 534.4 (146.5) 454.4 (107) n.s. 462.9 (144.9) 424.7 (139.7) n.s. Suborbital sulcus 1096 (262.8) 704.2 (184.8) c.05' 914.8 (201.9) 525.5 (139.9) .c.05° Subparietal sulcus 1765.3 (416.6) 2190.8 (539) <.05' 1619.1 (228.8) 1967.2 (403.3) n.s. Sulcus intermedius primus (Jensen) 606.2 (265.4) 811.3 (326.8) n.s. 483.1 (231.7) 591.7 (146.5) n.s. Superior frontal gyms 21154.3 (3018.9) 19435.4 (2431.2) <.09 19094.9 (2106.8) 17487.1 (1978.6) <.05' Superior frontal sulcus 5054.1 (971.2) 4238.2 (987.4) <.05a 4521.4 (921.4) 3924.1 (815.7) n.s. Superior occipital gyms 2620.8 (489.4) 3457.7 (536.6) <.05' 2281.2 (340.7) 2720.2 (439.6) <.05' Superior occipital sulcus and 1712 (354.6) 1807.6 (397.4) n.s. 1584.1 (291.3) 1822.9 (245.1) n.s. sulcus transversalis Superior parietal gyms 6141 (944.5) 5011 (745.6) <.05' 5307.7 (837.6) 4467.3 (586.5) <.05' Superior temporal gyms (lateral aspect) 6205.8 (902.2) 5509 (727.7) n.s. 5593.4 (659.6) 4747.8 (664.2) <.05' Superior temporal sulcus 9046.6 (1251.5) 10057.2 (1069) n.s. 8520.5 (1278.1) 9255.6 (1116.8) n.s. Temporal pole 5982.5 (642.5) 5987.8 (612.6) n.s. 5211.9 (847/) 5393.4 (619.1) n.s. Transverse temporal gyms and 1124.6 (238.6) 872.7 (213.9) <.05' 1048.6 (162.8) 807.5 (147) <.05' intermediate sulcus Transverse temporal sulcus 563.2 (155.1) 457.5 (111.3) n.s. 497.7 (109.8) 455.9 (91.5) a After sonferroni correction for multiple comparisons. may be important for refining our understanding of hemi- hemisphere. By contrast, somatosensory cortex, auditory spheric specialization. Inferoparietal association cortex, near cortex, portions of premotor cortex, and motor cortices the boundary of temporal and parietal lobes, helps maintain controlling oropharyngeal structures are more extensive in attention to the outside world (Corbetta and Shulman, 2002), the left than right hemisphere. Our findings that the superior and its damage, particularly on the right side, results in atten- temporal gyms, plenum temperate, and inferior portion of the tional impairment (Heilman et al., 2003). Prefrontal cortex motor areas are volumetrically larger in the left than right found on the lateral aspect of the hemisphere (dorsolateral and hemisphere parallel previously reported asymmetries in the ventrolateral) is critical for accessing and activating task- plenum temporak and frontal operculum (Geschwind and relevant representations found in the posterior association Levitsky, 1968; Galaburda et al., 1978). Luders et al (2006) re- cortices (O'Reilly and Munakata, 2000; )onides et al., 2008; Van ported a similar pro-left hemispheric asymmetry in the Snellenberg and Wager, 2009). Close neuroanatomical connec- cortical thickness of anterior temporal-lobe structures. Our tivity and functional relationship exists between the posterior finding of pro-right hemispheric differences in the volume of heteromodal association cortices and lateral prefrontal heter- cortex implicated in visual processing parallels the cortical omodal association cortices (Goldman-Rakic, 1988; Fuster, surface differences reported by Lyttelton et al. (2009) and 2008). By contrast, mesial/orbitomesial prefrontal and anterior cortical thickness differences