Maxwell L Elliott1, Adrienne Romer2, Annchen R Knodt2, Ahmad R Hariri2. 1. Laboratory of NeuroGenetics, Department of Psychology and Neuroscience, Duke University, Durham, North Carolina. Electronic address: maxwell.elliott@duke.edu. 2. Laboratory of NeuroGenetics, Department of Psychology and Neuroscience, Duke University, Durham, North Carolina.
Abstract
BACKGROUND: High rates of comorbidity, shared risk, and overlapping therapeutic mechanisms have led psychopathology research toward transdiagnostic dimensional investigations of clustered symptoms. One influential framework accounts for these transdiagnostic phenomena through a single general factor, sometimes referred to as the p factor, associated with risk for all common forms of mental illness. METHODS: We build on previous research identifying unique structural neural correlates of the p factor by conducting a data-driven analysis of connectome-wide intrinsic functional connectivity (n = 605). RESULTS: We demonstrate that higher p factor scores and associated risk for common mental illness maps onto hyperconnectivity between visual association cortex and both frontoparietal and default mode networks. CONCLUSIONS: These results provide initial evidence that the transdiagnostic risk for common forms of mental illness is associated with patterns of inefficient connectome-wide intrinsic connectivity between visual association cortex and networks supporting executive control and self-referential processes, networks that are often impaired across categorical disorders.
BACKGROUND: High rates of comorbidity, shared risk, and overlapping therapeutic mechanisms have led psychopathology research toward transdiagnostic dimensional investigations of clustered symptoms. One influential framework accounts for these transdiagnostic phenomena through a single general factor, sometimes referred to as the p factor, associated with risk for all common forms of mental illness. METHODS: We build on previous research identifying unique structural neural correlates of the p factor by conducting a data-driven analysis of connectome-wide intrinsic functional connectivity (n = 605). RESULTS: We demonstrate that higher p factor scores and associated risk for common mental illness maps onto hyperconnectivity between visual association cortex and both frontoparietal and default mode networks. CONCLUSIONS: These results provide initial evidence that the transdiagnostic risk for common forms of mental illness is associated with patterns of inefficient connectome-wide intrinsic connectivity between visual association cortex and networks supporting executive control and self-referential processes, networks that are often impaired across categorical disorders.
Authors: Maxwell L Elliott; Daniel W Belsky; Kevin Anderson; David L Corcoran; Tian Ge; Annchen Knodt; Joseph A Prinz; Karen Sugden; Benjamin Williams; David Ireland; Richie Poulton; Avshalom Caspi; Avram Holmes; Terrie Moffitt; Ahmad R Hariri Journal: Cereb Cortex Date: 2019-07-22 Impact factor: 5.357
Authors: Andrew E Reineberg; Alexander S Hatoum; John K Hewitt; Marie T Banich; Naomi P Friedman Journal: Cereb Cortex Date: 2020-04-14 Impact factor: 5.357
Authors: Joseph D Viviano; Robert W Buchanan; Navona Calarco; James M Gold; George Foussias; Nikhil Bhagwat; Laura Stefanik; Colin Hawco; Pamela DeRosse; Miklos Argyelan; Jessica Turner; Sofia Chavez; Peter Kochunov; Peter Kingsley; Xiangzhi Zhou; Anil K Malhotra; Aristotle N Voineskos Journal: Biol Psychiatry Date: 2018-04-13 Impact factor: 13.382
Authors: Adrienne L Romer; Maxwell L Elliott; Annchen R Knodt; Maria L Sison; David Ireland; Renate Houts; Sandhya Ramrakha; Richie Poulton; Ross Keenan; Tracy R Melzer; Terrie E Moffitt; Avshalom Caspi; Ahmad R Hariri Journal: Am J Psychiatry Date: 2020-06-30 Impact factor: 18.112