Neuroanatomical correlates of the sense of control: Gray and white matter volumes associated with an internal locus of control

A belief that effort is rewarded can develop incentive, achievement motivation, and self-efficacy. Individuals with such a belief attribute causes of events to themselves, not to external, uncontrollable factors, and are thus said to have an internal locus of control. An internal locus of control is a positive personality trait and has been thoroughly studied in applied psychology, but has not been widely examined in neuroscience. In the present study, correlations between locus of control assessment scores and brain volumes were examined in 777 healthy young adults using magnetic resonance imaging. A whole-brain multiple regression analysis with corrections for the effects of age, gender, and intelligence was conducted. Voxel-based morphometry analyses revealed that gray matter volumes in the anterior cingulate cortex, striatum, and anterior insula positively correlated with higher scores, which indicate an internal LOC. In addition, white matter volumes in the striatum showed significant correlations with an internal locus of control. These results suggest that cognitive, socioemotional, self-regulatory, and reward systems might be associated with internal control orientation. The finding of greater volumes in several brain regions in individuals with a stronger internal locus of control indicates that there is a neuroanatomical basis for the belief that one's efforts are rewarded.

[1]  H. Cooper,et al.  The happy personality: a meta-analysis of 137 personality traits and subjective well-being. , 1998, Psychological bulletin.

[2]  Ian J Deary,et al.  Locus of Control at Age 10 Years and Health Outcomes and Behaviors at Age 30 Years: The 1970 British Cohort Study , 2008, Psychosomatic medicine.

[3]  Peter E. Keller,et al.  Leading the follower: An fMRI investigation of dynamic cooperativity and leader–follower strategies in synchronization with an adaptive virtual partner , 2014, NeuroImage.

[4]  Stephan Hamann,et al.  The influence of perceived control and locus of control on the cortisol and subjective responses to stress , 2004, Biological Psychology.

[5]  Eveline A. Crone,et al.  Delay Discounting and Frontostriatal Fiber Tracts: A Combined DTI and MTR Study on Impulsive Choices in Healthy Young Adults , 2012, Cerebral cortex.

[6]  Hikaru TakeuchiYasuyuki,et al.  Regional gray matter density is associated with achievement motivation: evidence from voxel-based morphometry , 2012 .

[7]  Angela R. Laird,et al.  Neural network of cognitive emotion regulation — An ALE meta-analysis and MACM analysis , 2014, NeuroImage.

[8]  Jordan Grafman,et al.  Neural correlates of apathy revealed by lesion mapping in participants with traumatic brain injuries , 2014, Human brain mapping.

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

[10]  Anders M. Fjell,et al.  Neuronal correlates of the five factor model (FFM) of human personality: Multimodal imaging in a large healthy sample , 2013, NeuroImage.

[11]  P. Costa,et al.  Revised NEO Personality Inventory (NEO-PI-R) and NEO-Five-Factor Inventory (NEO-FFI) , 1992 .

[12]  Glyn Lewis,et al.  Association between locus of control in childhood and psychotic symptoms in early adolescence: Results from a large birth cohort , 2011, Cognitive neuropsychiatry.

[13]  B. Balleine,et al.  Molecular substrates of action control in cortico-striatal circuits , 2011, Progress in Neurobiology.

[14]  Avshalom Caspi,et al.  Personality development: stability and change. , 2005, Annual review of psychology.

[15]  T. Judge,et al.  Relationship of core self-evaluations traits--self-esteem, generalized self-efficacy, locus of control, and emotional stability--with job satisfaction and job performance: a meta-analysis. , 2001, The Journal of applied psychology.

[16]  Matthijs Vink,et al.  Frontostriatal activity and connectivity increase during proactive inhibition across adolescence and early adulthood , 2014, Human brain mapping.

[17]  Peter B. Jones,et al.  Functional dysconnectivity of corticostriatal circuitry as a risk phenotype for psychosis. , 2013, JAMA psychiatry.

[18]  S. Eliez,et al.  Decreased Anterior Cingulate Volume in Combat-Related PTSD , 2006, Biological Psychiatry.

[19]  L. Uddin,et al.  Superiority illusion arises from resting-state brain networks modulated by dopamine , 2013, Proceedings of the National Academy of Sciences.

[20]  Cecilia Cheng,et al.  Cultural meaning of perceived control: a meta-analysis of locus of control and psychological symptoms across 18 cultural regions. , 2013, Psychological bulletin.

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

[22]  Carlo Caltagirone,et al.  The neuroanatomical correlates of cognitive insight in schizophrenia. , 2013, Social cognitive and affective neuroscience.

[23]  Klaus Fliessbach,et al.  Effort increases sensitivity to reward and loss magnitude in the human brain. , 2014, Social cognitive and affective neuroscience.

[24]  A Steptoe,et al.  Locus of control and health behaviour revisited: a multivariate analysis of young adults from 18 countries. , 2001, British journal of psychology.

[25]  Carolyn H. Declerck,et al.  On feeling in control: A biological theory for individual differences in control perception , 2006, Brain and Cognition.

[26]  Allison C. Nugent,et al.  Prefrontal cortical abnormalities in currently depressed versus currently remitted patients with major depressive disorder , 2011, NeuroImage.

[27]  Barnaby Nelson,et al.  Externalized attributional bias in the Ultra High Risk (UHR) for psychosis population , 2013, Psychiatry Research.

[28]  Danai Dima,et al.  Childhood abuse is associated with structural impairment in the ventrolateral prefrontal cortex and aggressiveness in patients with borderline personality disorder , 2013, Psychiatry Research: Neuroimaging.

[29]  雅彦 鎌原,et al.  Locus of Control尺度の作成と, 信頼性, 妥当性の検討 , 1982 .

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

[31]  D H Barlow,et al.  The development of anxiety: the role of control in the early environment. , 1998, Psychological bulletin.

[32]  J. Gross,et al.  Anterior cingulate cortex volume and emotion regulation: Is bigger better? , 2011, Biological Psychology.

[33]  Christian Gaser,et al.  Magnetic resonance-based morphometry: a window into structural plasticity of the brain , 2006, Current opinion in neurology.

[34]  Rajita Sinha,et al.  Cumulative Adversity and Smaller Gray Matter Volume in Medial Prefrontal, Anterior Cingulate, and Insula Regions , 2012, Biological Psychiatry.

[35]  M. Seligman,et al.  Learned helplessness in humans: critique and reformulation. , 1978, Journal of abnormal psychology.

[36]  Yasuyuki Taki,et al.  The impact of television viewing on brain structures: cross-sectional and longitudinal analyses. , 2015, Cerebral cortex.

[37]  J. Gray,et al.  Testing Predictions From Personality Neuroscience , 2010, Psychological science.

[38]  Glyn Lewis,et al.  Pathways between childhood victimization and psychosis-like symptoms in the ALSPAC birth cohort. , 2013, Schizophrenia bulletin.

[39]  Timothy A. Judge,et al.  Emotional Stability, Core Self-Evaluations, and Job Outcomes: A Review of the Evidence and an Agenda for Future Research , 2004, Human Performance.

[40]  J. Rotter Generalized expectancies for internal versus external control of reinforcement. , 1966, Psychological monographs.

[41]  T. Heatherton,et al.  Multimodal frontostriatal connectivity underlies individual differences in self-esteem. , 2015, Social cognitive and affective neuroscience.

[42]  T. Judge,et al.  Are measures of self-esteem, neuroticism, locus of control, and generalized self-efficacy indicators of a common core construct? , 2002, Journal of personality and social psychology.

[43]  L. Somerville,et al.  Developmental neurobiology of cognitive control and motivational systems , 2010, Current Opinion in Neurobiology.

[44]  Liesbeth Reneman,et al.  How the aging brain translates motivational incentive into action: The role of individual differences in striato-cortical white matter pathways , 2011, Developmental Cognitive Neuroscience.

[45]  Christian A. Rodriguez,et al.  Connectivity Strength of Dissociable Striatal Tracts Predict Individual Differences in Temporal Discounting , 2014, The Journal of Neuroscience.

[46]  Jennifer H. Pfeifer,et al.  Self-development: Integrating cognitive, socioemotional, and neuroimaging perspectives , 2012, Developmental Cognitive Neuroscience.

[47]  Karen D Davis,et al.  Perceived helplessness is associated with individual differences in the central motor output system , 2012, The European journal of neuroscience.

[48]  B. Aouizerate,et al.  Meta-Analysis of Brain Volume Changes in Obsessive-Compulsive Disorder , 2009, Biological Psychiatry.

[49]  Stephen M. Smith,et al.  Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference , 2009, NeuroImage.

[50]  Ulman Lindenberger,et al.  Neuroscience and Biobehavioral Reviews Review Structural Brain Plasticity in Adult Learning and Development , 2022 .

[51]  Yasuyuki Taki,et al.  White matter structures associated with creativity: Evidence from diffusion tensor imaging , 2010, NeuroImage.

[52]  Yasuyuki Taki,et al.  Effects of working memory training on functional connectivity and cerebral blood flow during rest , 2013, Cortex.

[53]  Jens C. Pruessner,et al.  Self-esteem, locus of control, hippocampal volume, and cortisol regulation in young and old adulthood , 2005, NeuroImage.