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김택완Taekwan Kim

KAIST

Brain, Apr 08 2024, awae102 | https://doi.org/10.1093/brain/awae102 Neurocomputational model of compulsivity: Deviating from an uncertain goal-directed system

Taekwan Kim ^1,2,3, Sang Wan Lee ^2,3,4, Silvia Kyungjin Lho ⁵, Sun-Young Moon ⁵, Minah Kim^5,6, Jun Soo Kwon ^1,5,6

¹Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul 08826, Republic of Korea.

²Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.

³Center for Neuroscience-inspired Artificial Intelligence, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.

⁴Kim Jaechul Graduate School of AI, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.

⁵Department of Neuropsychiatry, Seoul National University Hospital, Seoul 03080, Republic of Korea.

⁶Department of Psychiatry, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.

Correspondence to: Jun Soo Kwon

Abstract

Despite a theory that an imbalance in goal-directed versus habitual systems serve as building blocks of compulsions, research has yet to delineate how it occurs during an arbitration process between the two systems in obsessive-compulsive disorder. Inspired by a brain model that the inferior frontal cortex selectively gates the putamen to guide goal-directed or habitual actions, this study aimed to examine whether disruptions in the arbitration process via the fronto-striatal circuit would underlie the imbalanced decision-making and compulsions in patients. Thirty patients with obsessive-compulsive disorder (mean [SD] age = 26.93 [6.23] years, 12 females [40%]) and thirty healthy controls (mean [SD] age = 24.97 [4.72] years, 17 females [57%]) underwent functional MRI scans while performing the two-step Markov decision task, which was designed to dissociate goal-directed behavior from habitual behavior. We employed a neurocomputational model to account for an uncertainty-based arbitration process, in which a prefrontal arbitrator (i.e., inferior frontal gyrus) allocates behavioral control to a more reliable strategy by selectively gating the putamen. We analyzed group differences in the neural estimates of uncertainty of each strategy. We also compared the psychophysiological interaction effects of system preference (goal-directed vs. habitual) on fronto-striatal coupling between groups. We examined the correlation between compulsivity score and the neural activity and connectivity involved in the arbitration process. The computational model captured subjects' preference between the strategies. Compared to healthy controls, patients had a stronger preference for the habitual system (t = -2.88, P = 0.006), which was attributed to a more uncertain goal-directed system (t = 2.72, P = 0.009). Before the allocation of controls, patients exhibited hypoactivity in the inferior frontal gyrus compared to healthy controls when this region tracked the inverse of uncertainty (i.e., reliability) of goal-directed behavior (P = 0.001, family-wise error rate corrected). When reorienting behaviors to reach specific goals, patients exhibited weaker right ipsilateral ventrolateral prefronto-putamen coupling than healthy controls (P = 0.001, family-wise error rate corrected). This hypoconnectivity was correlated with more severe compulsivity (r = -0.57, P = 0.002). Our findings suggest that the attenuated top-down control of the putamen by the prefrontal arbitrator underlies compulsivity in obsessive-compulsive disorder. Enhancing fronto-striatal connectivity may be a potential neurotherapeutic approach for compulsivity and adaptive decision-making.

논문정보

형식Research article
게재일2024년 04월 (BRIC 등록일 2024-04-09)
연구진국내 연구진
분야 바이오·의료융합 > 뇌인지과학

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