Hostname: page-component-586b7cd67f-gb8f7 Total loading time: 0 Render date: 2024-11-22T16:46:45.161Z Has data issue: false hasContentIssue false

Resilience and corpus callosum microstructure in adolescence

Published online by Cambridge University Press:  30 March 2015

A. Galinowski*
Affiliation:
INSERM, UMR 1000, Research unit Imaging and Psychiatry, Service Hospitalier Frédéric Joliot, Orsay, France Université Paris Descartes, Sorbonne Paris Cité, Paris, France; Université Paris-Sud 11, Orsay, France
R. Miranda
Affiliation:
INSERM, UMR 1000, Research unit Imaging and Psychiatry, Service Hospitalier Frédéric Joliot, Orsay, France Université Paris Descartes, Sorbonne Paris Cité, Paris, France; Université Paris-Sud 11, Orsay, France
H. Lemaitre
Affiliation:
INSERM, UMR 1000, Research unit Imaging and Psychiatry, Service Hospitalier Frédéric Joliot, Orsay, France Université Paris Descartes, Sorbonne Paris Cité, Paris, France; Université Paris-Sud 11, Orsay, France
M.-L. Paillère Martinot
Affiliation:
INSERM, UMR 1000, Research unit Imaging and Psychiatry, Service Hospitalier Frédéric Joliot, Orsay, France Université Paris Descartes, Sorbonne Paris Cité, Paris, France; AP-HP, Department of Adolescent Psychopathology and Medicine, Maison de Solenn, Cochin Hospital, Paris, France Université Paris-Sud 11, Orsay, France
E. Artiges
Affiliation:
INSERM, UMR 1000, Research unit Imaging and Psychiatry, Service Hospitalier Frédéric Joliot, Orsay, France Université Paris Descartes, Sorbonne Paris Cité, Paris, France; Université Paris-Sud 11, Orsay, France Psychiatry Department 91G16, Orsay Hospital, Orsay, France
H. Vulser
Affiliation:
INSERM, UMR 1000, Research unit Imaging and Psychiatry, Service Hospitalier Frédéric Joliot, Orsay, France Université Paris Descartes, Sorbonne Paris Cité, Paris, France; Université Paris-Sud 11, Orsay, France
R. Goodman
Affiliation:
King's College, London Institute of Psychiatry, London, UK
J. Penttilä
Affiliation:
Psychiatry Department, University of Tampere, School of Medicine, Tampere, Finland
M. Struve
Affiliation:
Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Germany
A. Barbot
Affiliation:
Neurospin, Saclay, France
T. Fadai
Affiliation:
Universitaetsklinikum Hamburg Eppendorf, Hamburg, Germany
L. Poustka
Affiliation:
Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Germany
P. Conrod
Affiliation:
King's College, London Institute of Psychiatry, London, UK Department of Psychiatry, Université de Montréal, CHU Ste Justine Hospital, Montréal, QC, Canada
T. Banaschewski
Affiliation:
Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Germany
G. J. Barker
Affiliation:
King's College, London Institute of Psychiatry, London, UK
A. Bokde
Affiliation:
Institute of Neuroscience and Department of Psychiatry, School of Medicine, Trinity College Dublin, Dublin, Ireland
U. Bromberg
Affiliation:
Universitaetsklinikum Hamburg Eppendorf, Hamburg, Germany
C. Büchel
Affiliation:
Universitaetsklinikum Hamburg Eppendorf, Hamburg, Germany
H. Flor
Affiliation:
Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Germany
J. Gallinat
Affiliation:
Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité–Universitätsmedizin, Berlin, Germany
H. Garavan
Affiliation:
Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland Departments of Psychiatry and Psychology, University of Vermont, USA
A. Heinz
Affiliation:
Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité–Universitätsmedizin, Berlin, Germany
B. Ittermann
Affiliation:
Physikalisch-Technische Bundesanstalt (PTB), Braunschweig und Berlin, Germany
V. Kappel
Affiliation:
Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Charité-Universitätsmedizin, Berlin, Germany
C. Lawrence
Affiliation:
School of Psychology, University of Nottingham, UK
E. Loth
Affiliation:
King's College, London Institute of Psychiatry, London, UK MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
K. Mann
Affiliation:
Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Germany
F. Nees
Affiliation:
Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Germany
T. Paus
Affiliation:
School of Psychology, University of Nottingham, UK Rotman Research Institute, University of Toronto, Toronto, ONT, Canada Montreal Neurological Institute, McGill University, QC, Canada
Z. Pausova
Affiliation:
Department of Physiology and Nutritional Sciences, The Hospital for Sick Children, University of Toronto, Toronto, ONT, Canada
J.-B. Poline
Affiliation:
Neurospin, Saclay, France Helen Wills Neuroscience Institute, University of California, Berkeley, USA
M. Rietschel
Affiliation:
Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Germany
T. W. Robbins
Affiliation:
Department of Experimental Psychology, Behavioural and Clinical Neurosciences Institute, University of Cambridge, UK
M. Smolka
Affiliation:
Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Germany Neuroimaging Center, Department of Psychology, Technische Universität Dresden, Germany
G. Schumann
Affiliation:
King's College, London Institute of Psychiatry, London, UK MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
J.-L. Martinot
Affiliation:
INSERM, UMR 1000, Research unit Imaging and Psychiatry, Service Hospitalier Frédéric Joliot, Orsay, France Université Paris Descartes, Sorbonne Paris Cité, Paris, France; AP-HP, Department of Adolescent Psychopathology and Medicine, Maison de Solenn, Cochin Hospital, Paris, France Université Paris-Sud 11, Orsay, France
*
*Address for correspondence: Dr A. Galinowski, INSERM UMR 1000, Research unit ‘Imaging and Psychiatry’, Service Hospitalier Frédéric Joliot, 4 Place du Général Leclerc, 91401 Cedex Orsay, France.(Email: [email protected])

Abstract

Background

Resilience is the capacity of individuals to resist mental disorders despite exposure to stress. Little is known about its neural underpinnings. The putative variation of white-matter microstructure with resilience in adolescence, a critical period for brain maturation and onset of high-prevalence mental disorders, has not been assessed by diffusion tensor imaging (DTI). Lower fractional anisotropy (FA) though, has been reported in the corpus callosum (CC), the brain's largest white-matter structure, in psychiatric and stress-related conditions. We hypothesized that higher FA in the CC would characterize stress-resilient adolescents.

Method

Three groups of adolescents recruited from the community were compared: resilient with low risk of mental disorder despite high exposure to lifetime stress (n = 55), at-risk of mental disorder exposed to the same level of stress (n = 68), and controls (n = 123). Personality was assessed by the NEO-Five Factor Inventory (NEO-FFI). Voxelwise statistics of DTI values in CC were obtained using tract-based spatial statistics. Regional projections were identified by probabilistic tractography.

Results

Higher FA values were detected in the anterior CC of resilient compared to both non-resilient and control adolescents. FA values varied according to resilience capacity. Seed regional changes in anterior CC projected onto anterior cingulate and frontal cortex. Neuroticism and three other NEO-FFI factor scores differentiated non-resilient participants from the other two groups.

Conclusion

High FA was detected in resilient adolescents in an anterior CC region projecting to frontal areas subserving cognitive resources. Psychiatric risk was associated with personality characteristics. Resilience in adolescence may be related to white-matter microstructure.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2015 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Andersen, SL, Tomada, A, Vincow, ES, Valente, E, Polcari, A, Teicher, MH (2008). Preliminary evidence for sensitive periods in the effect of childhood sexual abuse on regional brain development. Journal of Neuropsychiatry and Clinical Neurosciences 20, 292301.Google Scholar
Andersson, JLR, Jenkinson, M, Smith, S (2007). Non-linear registration, aka spatial normalisation. FMRIB technical report TR07JA2.Google Scholar
Assaf, Y, Pasternak, O (2008). Diffusion tensor imaging (DTI)-based white matter mapping in brain research: a review. Journal of Molecular Neuroscience 34, 5161.CrossRefGoogle ScholarPubMed
Axelrod, BN (2002). Validity of the Wechsler abbreviated scale of intelligence and other very short forms of estimating intellectual functioning. Assessment 9, 1723.Google Scholar
Barnea-Goraly, N, Chang, KD, Karchemskiy, A, Howe, ME, Reiss, AL (2009). Limbic and corpus callosum aberrations in adolescents with bipolar disorder: a tract-based spatial statistics analysis. Biological Psychiatry 66, 238244.CrossRefGoogle ScholarPubMed
Behrens, TEJ, Berg, HJ, Jbabdi, S, Rushworth, MFS, Woolrich, MW (2007). Probabilistic diffusion tractography with multiple fibre orientations: what can we gain? NeuroImage 34, 144155.CrossRefGoogle ScholarPubMed
Behrens, TEJ, Woolrich, MW, Jenkinson, M, Johansen-Berg, H, Nunes, RG, Clare, S, Matthews, PM, Brady, JM, Smith, SM (2003). Characterization and propagation of uncertainty in diffusion-weighted MR imaging. Magnetic Resonance in Medicine: 50, 10771088.CrossRefGoogle ScholarPubMed
Bjørnebekk, A, Fjell, AM, Walhovd, KB, Grydeland, H, Torgersen, S, Westlye, LT (2013). Neuronal correlates of the five factor model (FFM) of human personality: multimodal imaging in a large healthy sample. NeuroImage 65, 194208.Google Scholar
Bush, G, Luu, P, Posner, MI (2000). Cognitive and emotional influences in anterior cingulate cortex. Trends in Cognitive Sciences 4, 215222.Google Scholar
Canli, T (2008). Toward a neurogenetic theory of neuroticism. Annals of the New York Academy of Sciences 1129, 153174.CrossRefGoogle Scholar
Carlyle, BC, Duque, A, Kitchen, RR, Bordner, KA, Coman, D, Doolittle, E, Papademetris, X, Hyder, F, Taylor, JR, Simen, AA (2012). Maternal separation with early weaning: a rodent model providing novel insights into neglect associated developmental deficits. Development and Psychopathology 24, 14011416.CrossRefGoogle ScholarPubMed
Caspi, A, Sugden, K, Moffitt, TE, Taylor, A, Craig, IW, Harrington, H, McClay, J, Mill, J, Martin, J, Braithwaite, A, Poulton, R (2003). Influence of life stress on depression: moderation by a polymorphism in the 5-HTT gene. Science 301, 386389.CrossRefGoogle ScholarPubMed
Chao, L, Weiner, M, Neylan, T (2013). Regional cerebral volumes in veterans with current versus remitted posttraumatic stress disorder. Psychiatry Research 213, 193201.CrossRefGoogle ScholarPubMed
Compas, BE, Reeslund, KL (2009). Processes of risk and resilience during adolescence. In Handbook of Adolescent Psychology, 3d edn. (eds. Lerner, M. R. and Steinberg, L.). John Wiley and Sons: Hoboken, NJ.Google Scholar
Costa, PT, Mc Crae, RR (1992). Revised NEO Personality Inventory and NEO Five-Factor Inventory: Professional Manual. Psychological Assessment Resources Inc.: Lutz, FL.Google Scholar
Davydov, DM, Stewart, R, Ritchie, K, Chaudieu, I (2010). Resilience and mental health. Clinical Psychology Review 30, 479495.CrossRefGoogle ScholarPubMed
Desikan, RS, Ségonne, F, Fischl, B, Quinn, BT, Dickerson, BC, Blacker, D, Buckner, RL, Dale, AM, Maguire, RP, Hyman, BT, Albert, MS, Killiany, RJ (2006). An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. NeuroImage 31, 968980.CrossRefGoogle ScholarPubMed
Etkin, A, Egner, T, Kalisch, R (2011). Emotional processing in anterior cingulate and medial prefrontal cortex. Trends in Cognitive Sciences 15, 8593.CrossRefGoogle ScholarPubMed
Frodl, T, Carballedo, A, Fagan, AJ, Lisiecka, D, Ferguson, Y, Meaney, JF (2012). Effects of early-life adversity on white matter diffusivity changes in patients at risk for major depression. Journal of Psychiatry & Neuroscience 37, 3745.Google Scholar
Geschwind, N, Peeters, F, Jacobs, N, Delespaul, P, Derom, C, Thiery, E, van Os, J, Wichers, M (2010). Meeting risk with resilience: high daily life reward experience preserves mental health. Acta Psychiatrica Scandinavica 122, 129138.CrossRefGoogle ScholarPubMed
Goodman, R, Ford, T, Richards, H, Gatward, R, Meltzer, H (2000). The Development and Well-Being Assessment: description and initial validation of an integrated assessment of child and adolescent psychopathology. Journal of Child Psychology and Psychiatry, and Allied Disciplines 41, 645655.CrossRefGoogle ScholarPubMed
Hart, H, Rubia, K (2012). Neuroimaging of child abuse: a critical review. Frontiers in Human Neuroscience 6, 52.CrossRefGoogle ScholarPubMed
Jackowski, AP, de Araújo, CM, de Lacerda, ALT, Mari, J de J, Kaufman, J (2009). Neurostructural imaging findings in children with post-traumatic stress disorder: brief review. Psychiatry and Clinical Neurosciences 63, 18.CrossRefGoogle ScholarPubMed
Jones, DK, Knösche, TR, Turner, R (2013). White matter integrity, fiber count, and other fallacies: the do's and don'ts of diffusion MRI. NeuroImage 73, 239254.Google Scholar
Jylhä, P, Mantere, O, Melartin, T, Suominen, K, Vuorilehto, M, Arvilommi, P, Leppämäki, S, Valtonen, H, Rytsälä, H, Isometsä, E (2010). Differences in neuroticism and extraversion between patients with bipolar I or II and general population subjects or major depressive disorder patients. Journal of Affective Disorders 125, 4252.CrossRefGoogle ScholarPubMed
Kendler, KS, Neale, MC, Kessler, RC, Heath, AC, Eaves, LJ (1993). A longitudinal twin study of personality and major depression in women. Archives of General Psychiatry 50, 853862.CrossRefGoogle ScholarPubMed
Knöchel, C, O'Dwyer, L, Alves, G, Reinke, B, Magerkurth, J, Rotarska-Jagiela, A, Prvulovic, D, Hampel, H, Linden, DEJ, Oertel-Knöchel, V (2012). Association between white matter fiber integrity and subclinical psychotic symptoms in schizophrenia patients and unaffected relatives. Schizophrenia Research 140, 129135.CrossRefGoogle ScholarPubMed
Lopez-Larson, M, Breeze, JL, Kennedy, DN, Hodge, SM, Tang, L, Moore, C, Giuliano, AJ, Makris, N, Caviness, VS, Frazier, JA (2010). Age-related changes in the corpus callosum in early-onset bipolar disorder assessed using volumetric and cross-sectional measurements. Brain Imaging and Behavior 4, 220231.Google Scholar
Lu, PH, Lee, GJ, Tishler, TA, Meghpara, M, Thompson, PM, Bartzokis, G (2013). Myelin breakdown mediates age-related slowing in cognitive processing speed in healthy elderly men. Brain and Cognition 81, 131138.CrossRefGoogle ScholarPubMed
McCrory, E, De Brito, SA, Viding, E (2011). The impact of childhood maltreatment: a review of neurobiological and genetic factors. Frontiers in Psychiatry/Frontiers Research Foundation 2, 48.Google ScholarPubMed
McLaughlin, KA, Greif Green, J, Gruber, MJ, Sampson, NA, Zaslavsky, AM, Kessler, RC (2012). Childhood adversities and first onset of psychiatric disorders in a national sample of US adolescents. Archives of General Psychiatry 69, 11511160.CrossRefGoogle Scholar
Mori, S, Oishi, K, Jiang, H, Jiang, L, Li, X, Akhter, K, Hua, K, Faria, AV, Mahmood, A, Woods, R, Toga, AW, Pike, GB, Neto, PR, Evans, A, Zhang, J, Huang, H, Miller, MI, van Zijl, P, Mazziotta, J (2008). Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template. NeuroImage 40, 570582.CrossRefGoogle Scholar
Moseley, ME, Cohen, Y, Kucharczyk, J, Mintorovitch, J, Asgari, HS, Wendland, MF, Tsuruda, J, Norman, D (1990). Diffusion-weighted MR imaging of anisotropic water diffusion in cat central nervous system. Radiology 176, 439445.Google Scholar
Nakaya, M, Oshio, A, Kaneko, H (2006). Correlations for Adolescent Resilience Scale with big five personality traits. Psychological Reports 98, 927930.CrossRefGoogle ScholarPubMed
Newcomb, MD, Huba, GJ, Bentler, PM (1981). A multidimensional assessment of stressful life events among adolescents: derivation and correlates. Journal of Health and Social Behavior 22, 400415.Google Scholar
Newcomb, MD, Huba, GJ, Bentler, PM (1986). Life change events among adolescents. An empirical consideration of some methodological issues. Journal of Nervous and Mental Disease 174, 280289.Google Scholar
Paul, R, Henry, L, Grieve, SM, Guilmette, TJ, Niaura, R, Bryant, R, Bruce, S, Williams, LM, Richard, CC, Cohen, RA, Gordon, E (2008). The relationship between early life stress and microstructural integrity of the corpus callosum in a non-clinical population. Neuropsychiatric Disease and Treatment 4, 193201.CrossRefGoogle Scholar
Paus, T (2010). Growth of white matter in the adolescent brain: Myelin or axon? Brain and Cognition 72, 2635.CrossRefGoogle ScholarPubMed
Paus, T (2013). How environment and genes shape the adolescent brain. Hormones and Behavior 64, 195202.CrossRefGoogle ScholarPubMed
Peper, JS, van den Heuvel, MP, Mandl, RCW, Hulshoff Pol, HE, van Honk, J (2011). Sex steroids and connectivity in the human brain: a review of neuroimaging studies. Psychoneuroendocrinology 36, 11011113.CrossRefGoogle Scholar
Petersen, A, Crockett, L, Richards, M, Boxer, A (1988). A self-report measure of pubertal status: reliability, validity, and initial norms. Journal of Youth and Adolescence 17, 117133.Google Scholar
Qiu, M, Ye, Z, Li, Q, Liu, G, Xie, B, Wang, J (2011). Changes of brain structure and function in ADHD children. Brain Topography 24, 243252.CrossRefGoogle ScholarPubMed
Rosellini, AJ, Brown, TA (2011). The NEO Five-Factor Inventory: latent structure and relationships with dimensions of anxiety and depressive disorders in a large clinical sample. Assessment 18, 2738.Google Scholar
Rueckert, D, Sonoda, LI, Hayes, C, Hill, DL, Leach, MO, Hawkes, DJ (1999). Nonrigid registration using free-form deformations: application to breast MR images. IEEE Transactions on Medical Imaging 18, 712721.CrossRefGoogle ScholarPubMed
Rushworth, MFS, Walton, ME, Kennerley, SW, Bannerman, DM (2004). Action sets and decisions in the medial frontal cortex. Trends in Cognitive Sciences 8, 410417.CrossRefGoogle ScholarPubMed
Russo, SJ, Murrough, JW, Han, M-H, Charney, DS, Nestler, EJ (2012). Neurobiology of resilience. Nature Neuroscience 15, 14751484.Google Scholar
Schumann, G, Loth, E, Banaschewski, T, Barbot, A, Barker, G, Büchel, C, Conrod, PJ, Dalley, JW, Flor, H, Gallinat, J, Garavan, H, Heinz, A, Itterman, B, Lathrop, M, Mallik, C, Mann, K, Martinot, J-L, Paus, T, Poline, J-B, Robbins, TW, Rietschel, M, Reed, L, Smolka, M, Spanagel, R, Speiser, C, Stephens, DN, Ströhle, A, Struve, M, IMAGEN consortium (2010). The IMAGEN study: reinforcement-related behaviour in normal brain function and psychopathology. Molecular Psychiatry 15, 11281139.CrossRefGoogle ScholarPubMed
Shaw, W, Dimsdale, J, Patterson, T (2008). Stress and life event measures. In Handbook of Psychiatric Measures, 2d edn. (eds. Rush, A. J. Jr, First, M. B. and Blacker, D. , ), pp 193210. APP: Washington.Google Scholar
Smith, SM (2002). Fast robust automated brain extraction. Human Brain Mapping 17, 143155.Google Scholar
Smith, SM, Jenkinson, M, Johansen-Berg, H, Rueckert, D, Nichols, TE, Mackay, CE, Watkins, KE, Ciccarelli, O, Cader, MZ, Matthews, PM, Behrens, TEJ (2006). Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. NeuroImage 31, 14871505.CrossRefGoogle ScholarPubMed
Smith, SM, Nichols, TE (2009). Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference. NeuroImage 44, 8398.Google Scholar
Snook, L, Paulson, L-A, Roy, D, Phillips, L, Beaulieu, C (2005). Diffusion tensor imaging of neurodevelopment in children and young adults. NeuroImage 26, 11641173.Google Scholar
Song, S-K, Sun, S-W, Ramsbottom, MJ, Chang, C, Russell, J, Cross, AH (2002). Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water. NeuroImage 17, 14291436.CrossRefGoogle ScholarPubMed
Sun, J, Maller, JJ, Daskalakis, ZJ, Furtado, CC, Fitzgerald, PB (2009). Morphology of the corpus callosum in treatment-resistant schizophrenia and major depression. Acta Psychiatrica Scandinavica 120, 265273.Google Scholar
Teicher, MH, Dumont, NL, Ito, Y, Vaituzis, C, Giedd, JN, Andersen, SL (2004). Childhood neglect is associated with reduced corpus callosum area. Biological Psychiatry 56, 8085.CrossRefGoogle ScholarPubMed
Teicher, MH, Samson, JA, Sheu, Y-S, Polcari, A, McGreenery, CE (2010). Hurtful words: association of exposure to peer verbal abuse with elevated psychiatric symptom scores and corpus callosum abnormalities. American Journal of Psychiatry 167, 14641471.CrossRefGoogle ScholarPubMed
Teicher, MH, Tomoda, A, Andersen, SL (2006). Neurobiological consequences of early stress and childhood maltreatment: are results from human and animal studies comparable? Annals of the New York Academy of Sciences 1071, 313323.CrossRefGoogle ScholarPubMed
Vila, M, Kramer, T, Obiols, JE, Garralda, ME (2012). Adolescents who are frequent attenders to primary care: contribution of psychosocial factors. Social Psychiatry and Psychiatric Epidemiology 47, 323329.CrossRefGoogle ScholarPubMed
Vink, M, Derks, JM, Hoogendam, JM, Hillegers, M, Kahn, RS (2014). Functional differences in emotion processing during adolescence and early adulthood. NeuroImage 91, 7076.CrossRefGoogle ScholarPubMed
Whitford, TJ, Savadjiev, P, Kubicki, M, O'Donnell, LJ, Terry, DP, Bouix, S, Westin, C-F, Schneiderman, JS, Bobrow, L, Rausch, AC, Niznikiewicz, M, Nestor, PG, Pantelis, C, Wood, SJ, McCarley, RW, Shenton, ME (2011). Fiber geometry in the corpus callosum in schizophrenia: evidence for transcallosal misconnection. Schizophrenia Research 132, 6974.Google Scholar
Wright, CI, Williams, D, Feczko, E, Barrett, LF, Dickerson, BC, Schwartz, CE, Wedig, MM (2006). Neuroanatomical correlates of extraversion and neuroticism. Cerebral Cortex 16, 18091819.CrossRefGoogle ScholarPubMed
Xu, J, Kober, H, Carroll, KM, Rounsaville, BJ, Pearlson, GD, Potenza, MN (2012). White matter integrity and behavioral activation in healthy subjects. Human Brain Mapping 33, 9941002.Google Scholar
Supplementary material: File

Galinowski supplementary material

Table S1

Download Galinowski supplementary material(File)
File 12.7 KB
Supplementary material: File

Galinowski supplementary material

Table S2

Download Galinowski supplementary material(File)
File 40.4 KB
Supplementary material: File

Galinowski supplementary material

Table S3

Download Galinowski supplementary material(File)
File 13.4 KB