Frontotemporal correlates of impulsivity and machine learning in retired professional athletes with a history of multiple concussions

• Published in: Brain Structure and Function Vol. 221; no. 4; pp. 1911 - 1925
• Main Authors: Goswami, R., Dufort, P., Tartaglia, M. C., Green, R. E., Crawley, A., Tator, C. H., Wennberg, R., Mikulis, D. J., Keightley, M., Davis, Karen D.
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2016; Springer Nature B.V
• Subjects: Adult; Aged; Aggression - physiology; Aggressiveness; Athletes - psychology; Behavior; Biomedical and Life Sciences; Biomedicine; Brain; Brain Concussion - diagnosis; Brain Concussion - pathology; Brain Concussion - physiopathology; Cell Biology; Concussion; Diffusion Tensor Imaging; Female; Football - injuries; Frontal Lobe - pathology; Frontal Lobe - physiopathology; Gray Matter - pathology; Gray Matter - physiopathology; Humans; Impulsive Behavior - physiology; Machine Learning; Magnetic Resonance Imaging; Male; Middle Aged; Neural Pathways - pathology; Neural Pathways - physiopathology; Neurology; Neuropsychological Tests; Neurosciences; Original; Original Article; Prefrontal Cortex - pathology; Prefrontal Cortex - physiopathology; Sensitivity and Specificity; Temporal Lobe - pathology; Temporal Lobe - physiopathology; Connectivity; Impulsivity; Cortical thickness; Concussion; Uncinate fasciculus; Machine learning
• ISSN: 1863-2653; 1863-2661; 1863-2661; 0340-2061
• DOI: 10.1007/s00429-015-1012-0

The frontotemporal cortical network is associated with behaviours such as impulsivity and aggression. The health of the uncinate fasciculus (UF) that connects the orbitofrontal cortex (OFC) with the anterior temporal lobe (ATL) may be a crucial determinant of behavioural regulation. Behavioural changes can emerge after repeated concussion and thus we used MRI to examine the UF and connected gray matter as it relates to impulsivity and aggression in retired professional football players who had sustained multiple concussions. Behaviourally, athletes had faster reaction times and an increased error rate on a go/no-go task, and increased aggression and mania compared to controls. MRI revealed that the athletes had (1) cortical thinning of the ATL, (2) negative correlations of OFC thickness with aggression and task errors, indicative of impulsivity, (3) negative correlations of UF axial diffusivity with error rates and aggression, and (4) elevated resting-state functional connectivity between the ATL and OFC. Using machine learning, we found that UF diffusion imaging differentiates athletes from healthy controls with significant classifiers based on UF mean and radial diffusivity showing 79–84 % sensitivity and specificity, and 0.8 areas under the ROC curves. The spatial pattern of classifier weights revealed hot spots at the orbitofrontal and temporal ends of the UF. These data implicate the UF system in the pathological outcomes of repeated concussion as they relate to impulsive behaviour. Furthermore, a support vector machine has potential utility in the general assessment and diagnosis of brain abnormalities following concussion.