Brain structures in the sciences and humanities

The areas of academic interest (sciences or humanities) and area of study have been known to be associated with a number of factors associated with autistic traits. However, despite the vast amount of literature on the psychological and physiological characteristics associated with faculty membership, brain structural characteristics associated with faculty membership have never been investigated directly. In this study, we used voxel-based morphometry to investigate differences in regional gray matter volume (rGMV)/regional white matter volume (rWMV) between science and humanities students to test our hypotheses that brain structures previously robustly shown to be altered in autistic subjects are related to differences in faculty membership. We examined 312 science students (225 males and 87 females) and 179 humanities students (105 males and 74 females). Whole-brain analyses of covariance revealed that after controlling for age, sex, and total intracranial volume, the science students had significantly larger rGMV in an anatomical cluster around the medial prefrontal cortex and the frontopolar area, whereas the humanities students had significantly larger rWMV in an anatomical cluster mainly concentrated around the right hippocampus. These anatomical structures have been linked to autism in previous studies and may mediate cognitive functions that characterize differences in faculty membership. The present results may support the ideas that autistic traits and characteristics of the science students compared with the humanities students share certain characteristics from neuroimaging perspectives. This study improves our understanding of differences in faculty membership which is the link among cognition, biological factors, disorders, and education (academia).

[1]  J. Raven,et al.  Manual for Raven's progressive matrices and vocabulary scales , 1962 .

[2]  R. C. Oldfield The assessment and analysis of handedness: the Edinburgh inventory. , 1971, Neuropsychologia.

[3]  C. Temple Academic discipline, handedness and immune disorders , 1990, Neuropsychologia.

[4]  R. Roof,et al.  Testosterone improves maze performance and induces development of a male hippocampus in females , 1992, Brain Research.

[5]  Gina M. Grimshaw,et al.  Mental Rotation at 7 Years - Relations with Prenatal Testosterone Levels and Spatial Play Experiences , 1995, Brain and Cognition.

[6]  S. Baron-Cohen Does Autism Occur More Often in Families of Physicists, Engineers, and Mathematicians? , 1998 .

[7]  J. T. Martin,et al.  Sexual dimorphism in immune function: the role of prenatal exposure to androgens and estrogens. , 2000, European journal of pharmacology.

[8]  Karl J. Friston,et al.  Voxel-Based Morphometry—The Methods , 2000, NeuroImage.

[9]  Richard S. J. Frackowiak,et al.  Navigation-related structural change in the hippocampi of taxi drivers. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[10]  J. Gabrieli,et al.  The frontopolar cortex and human cognition: Evidence for a rostrocaudal hierarchical organization within the human prefrontal cortex , 2000, Psychobiology.

[11]  S Baron-Cohen,et al.  The Link Between Autism and Skills such as Engineering, Maths, Physics and Computing , 2001, Autism : the international journal of research and practice.

[12]  S. Baron-Cohen,et al.  The Autism-Spectrum Quotient (AQ): Evidence from Asperger Syndrome/High-Functioning Autism, Malesand Females, Scientists and Mathematicians , 2001, Journal of autism and developmental disorders.

[13]  Karl J. Friston,et al.  A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains , 2001, NeuroImage.

[14]  Simon Baron-Cohen,et al.  The Essential Difference: The Truth About the Male and Female Brain , 2003 .

[15]  N. Osaka,et al.  [Reading comprehension and working memory: structural equation modeling approach]. , 2003, Shinrigaku kenkyu : The Japanese journal of psychology.

[16]  Suzanne E. Welcome,et al.  Mapping cortical change across the human life span , 2003, Nature Neuroscience.

[17]  Simon Baron-Cohen,et al.  The systemizing quotient: an investigation of adults with Asperger syndrome or high-functioning autism, and normal sex differences. , 2003, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[18]  Nathan S White,et al.  A voxel-based morphometric study of nondemented adults with Down Syndrome , 2003, NeuroImage.

[19]  Thomas E. Nichols,et al.  Nonstationary cluster-size inference with random field and permutation methods , 2004, NeuroImage.

[20]  S. Baron-Cohen,et al.  The Empathy Quotient: An Investigation of Adults with Asperger Syndrome or High Functioning Autism, and Normal Sex Differences , 2004, Journal of autism and developmental disorders.

[21]  J. Bremner,et al.  MR-based in vivo hippocampal volumetrics: 2. Findings in neuropsychiatric disorders , 2005, Molecular Psychiatry.

[22]  Vanessa Sluming,et al.  Voxel-based morphometry and stereology provide convergent evidence of the importance of medial prefrontal cortex for fluid intelligence in healthy adults , 2005, NeuroImage.

[23]  M. Weiner,et al.  Voxel‐based Optimized Morphometry (VBM) of Gray and White Matter in Temporal Lobe Epilepsy (TLE) with and without Mesial Temporal Sclerosis , 2006, Epilepsia.

[24]  Rebecca C. Knickmeyer,et al.  Foetal testosterone and the child systemizing quotient , 2006 .

[25]  C. Frith,et al.  Meeting of minds: the medial frontal cortex and social cognition , 2006, Nature Reviews Neuroscience.

[26]  N. Goldenfeld,et al.  Predicting Autism Spectrum Quotient (AQ) from the Systemizing Quotient-Revised (SQ-R) and Empathy Quotient (EQ) , 2006, Brain Research.

[27]  Peter A Lawrence,et al.  Men, Women, and Ghosts in Science , 2006, PLoS biology.

[28]  C. Büchel,et al.  Temporal and Spatial Dynamics of Brain Structure Changes during Extensive Learning , 2006, The Journal of Neuroscience.

[29]  Akio Wakabayashi,et al.  Development of short forms of the Empathy Quotient (EQ-Short) and the Systemizing Quotient (SQ-Short) , 2006 .

[30]  Rebecca C. Knickmeyer,et al.  Fetal testosterone and empathy: Evidence from the Empathy Quotient (EQ) and the “Reading the Mind in the Eyes” Test , 2006, Social neuroscience.

[31]  S. Baron-Cohen,et al.  Cognitive style predicts entry into physical sciences and humanities: Questionnaire and performance tests of empathy and systemizing , 2007 .

[32]  Michael S. Gazzaniga,et al.  Empathizing and systemizing cognitive traits in the sciences and humanities , 2007 .

[33]  Akio Wakabayashi,et al.  Empathizing and Systemizing in Adults with and without Autism Spectrum Conditions: Cross-Cultural Stability , 2007, Journal of autism and developmental disorders.

[34]  Luc F De Nil,et al.  Voxel-based morphometry of auditory and speech-related cortex in stutterers , 2007, Neuroreport.

[35]  R. Murray,et al.  Grey matter abnormalities in Brazilians with first-episode psychosis. , 2007, The British journal of psychiatry. Supplement.

[36]  L. Thompson,et al.  Predicting academic achievement with cognitive ability , 2007 .

[37]  Christine Wu Nordahl,et al.  Brief Report: Methods for Acquiring Structural MRI Data in Very Young Children with Autism Without the Use of Sedation , 2008, Journal of autism and developmental disorders.

[38]  Michael A. McDaniel,et al.  Spatial Ability and Prenatal Androgens: Meta-Analyses of Congenital Adrenal Hyperplasia and Digit Ratio (2D:4D) Studies , 2008, Archives of sexual behavior.

[39]  John S. Duncan,et al.  Correlation of cognitive functions with voxel-based morphometry in patients with hippocampal sclerosis , 2008, Epilepsy & Behavior.

[40]  K. Sakai,et al.  Greater leftward lateralization of the inferior frontal gyrus in second language learners with higher syntactic abilities , 2009, Human brain mapping.

[41]  Rebecca C. Knickmeyer,et al.  Edinburgh Research Explorer Fetal testosterone and autistic traits , 2014 .

[42]  M. Maybery,et al.  Fetal androgen exposure and pragmatic language ability of girls in middle childhood: Implications for the extreme male-brain theory of autism , 2010, Psychoneuroendocrinology.

[43]  Yasuyuki Taki,et al.  Regional gray matter volume of dopaminergic system associate with creativity: Evidence from voxel-based morphometry , 2010, NeuroImage.

[44]  F. Happé,et al.  Meta-analysis of gray matter abnormalities in autism spectrum disorder: should Asperger disorder be subsumed under a broader umbrella of autistic spectrum disorder? , 2011, Archives of general psychiatry.

[45]  S. Chua,et al.  Can Asperger syndrome be distinguished from autism? An anatomic likelihood meta-analysis of MRI studies. , 2011, Journal of psychiatry & neuroscience : JPN.

[46]  Yasuyuki Taki,et al.  Regional gray matter density associated with emotional intelligence: Evidence from voxel‐based morphometry , 2011, Human brain mapping.

[47]  Yasuyuki Taki,et al.  Failing to deactivate: The association between brain activity during a working memory task and creativity , 2011, NeuroImage.

[48]  Yasuyuki Taki,et al.  Verbal working memory performance correlates with regional white matter structures in the frontoparietal regions , 2011, Neuropsychologia.

[49]  Thomas E. Nichols,et al.  False positives in neuroimaging genetics using voxel-based morphometry data , 2011, NeuroImage.

[50]  Yasuyuki Taki,et al.  Working Memory Training Using Mental Calculation Impacts Regional Gray Matter of the Frontal and Parietal Regions , 2011, PloS one.

[51]  Yasuyuki Taki,et al.  Effects of Training of Processing Speed on Neural Systems , 2011, The Journal of Neuroscience.

[52]  G. Rees,et al.  The structural basis of inter-individual differences in human behaviour and cognition , 2011, Nature Reviews Neuroscience.

[53]  Yasuyuki Taki,et al.  A voxel-based morphometry study of gray and white matter correlates of a need for uniqueness , 2012, NeuroImage.

[54]  Yasuyuki Taki,et al.  Brain structures associated with executive functions during everyday events in a non-clinical sample , 2012, Brain Structure and Function.

[55]  Yasuyuki Taki,et al.  Regional gray and white matter volume associated with Stroop interference: Evidence from voxel-based morphometry , 2012, NeuroImage.

[56]  Yasuyuki Taki,et al.  The correlation between brain gray matter volume and empathizing and systemizing quotients in healthy children , 2012, NeuroImage.

[57]  Ryuta Kawashima,et al.  Effects of processing speed training on cognitive functions and neural systems , 2012, Reviews in the neurosciences.

[58]  Emma Ashwin,et al.  Fetal Testosterone Influences Sexually Dimorphic Gray Matter in the Human Brain , 2012, The Journal of Neuroscience.

[59]  Geraint Rees,et al.  Inter-individual differences in empathy are reflected in human brain structure , 2012, NeuroImage.

[60]  Hiroshi Fukuda,et al.  Correlation among body height, intelligence, and brain gray matter volume in healthy children , 2012, NeuroImage.

[61]  John Suckling,et al.  Individual differences in brain structure underpin empathizing–systemizing cognitive styles in male adults , 2012, NeuroImage.

[62]  Benjamin Thyreau,et al.  Sleep duration during weekdays affects hippocampal gray matter volume in healthy children , 2012, NeuroImage.

[63]  Benjamin Thyreau,et al.  White matter structures associated with empathizing and systemizing in young adults , 2013, NeuroImage.

[64]  R. Kawashima,et al.  White matter structures associated with emotional intelligence: Evidence from diffusion tensor imaging , 2013, Human brain mapping.

[65]  R. Kawashima,et al.  Regional Gray Matter Volume Is Associated with Empathizing and Systemizing in Young Adults , 2014, PloS one.

[66]  S Baron-Cohen,et al.  Elevated fetal steroidogenic activity in autism , 2014, Molecular Psychiatry.