Very little is known
Data – MRI Acquisitions were performed on 15 healthy volunteers using 3T Siemens TrioTim MRI scanner. The MRI protocol included a 3D structural T1-weighted MPRAGE sequence (TR/TE/TI=1900/4.44/1050ms, Flip angle: 8°, FOV: 256×256mm2, voxel resolution isometric 1mm3), a 3D structural T2-weighted sequence (TR/TE=3780/96ms, Flip angle: 120°, FOV: 384×384mm2, voxel resolution 0.6250x0.6250x3.3000mm3) and DWI HARDI acquisitions with a spatial resolution 2.5x2.5x2.5mm³, 82 gradient directions, 10 interleaved b0, TR/TE=8300/115ms, b value = 3000s/mm²).
Psychometrics - The participants were either CEOs or company founders (entrepreneurs), or other members of the startups, primarily developers. A self-report 40-question psychometric survey was given to assess relevant traits of the participants such as: 'Extraversion', 'Openness to Ambiguity', 'Compulsion', 'Innovation', 'Risk-Taking'. A total entrepreneurial score was calculated based on these traits. The psychometrics also evaluated traits associated to company directors (CEOs) - the ‘so called' Dark Triad: 'Narcissism', 'Machiavellianism', 'Psychopathy' 2,3,4,5.
Morphometrics - We evaluated cortical and subcortical gray matter volumes for each parcellation region computed with ANTs cortical segmentation pipeline, using OASIS-30 Atropos Template and the Desikan-Killiany-Tourville cortical labeling protocol. All volumetric data were normalized by the intracranial volume (ICV), with volume brain region / ICV. We calculated the connectome matrices with an ‘in-house’ pipeline, combining cortical and subcortical parcellations and white matter tracts. In our pipeline, we used MRtrix software for modeling constrained spherical deconvolution and deterministic fiber tracking with the HARDI datasets. The matrices consist of the number of fibers connecting every two regions of the parcellation scheme.
Statistical Analysis - First, we performed a correlation study to evaluate which cortical regions are associated with entrepreneurship. Linear regression analyses were used to examine the relationships between psychometrics and each parcellated and normalized brain region. We computed a Monte Carlo permutation test (10000 permutations) using Person’s R correlation coefficient, implemented with Python libraries. A corrected 2-tailed P<0.05 was determined as the threshold for the interpretation of the statistical results. Furthermore, we performed similar Monte Carlo permutation tests, evaluating the relationship between psychometric scores and each individual’s connections in the computed connectomes. This results in a matrix reflecting the strength of the relationship between the brain circuitry and the personality traits.
1. Akhtar R., et al. Greed is good? Assessing the relationship between entrepreneurship and subclinical psychopathy. Personality and Individual Differences. 54.13 (2013): 420-425
2. Matthews S. C. et al. Selective activation of the nucleus accumbens during risk-taking decision making. Neuroreport. 15.13 (2004): 2123-2127.
3. Müller J. L., et al. Abnormalities in emotion processing within cortical and subcortical regions in criminal psychopaths: evidence from a functional magnetic resonance imaging study using pictures with emotional content. Biological Psychiatry. 54.2 (2003): 152–162.
4. Omura K., et al. Amygdala gray matter concentration is associated with extraversion and neuroticism. NeuroReport 16.17 (2005): 1905-908.
5. Wright Cl. et al. Neuroanatomical Correlates of Extraversion and Neuroticism. Cereb Cortex 16 (12) (2006): 1809-1819.
6. Pascual L. et al. How does morality work in the brain? A functional and structural perspective of moral behavior. Frontiers in Integrative Neuroscience. 12 (2013): 7: 65.