Yoshinari Abe

Mapping Higher-Order Topology in OCD Brain Networks with Hodge Laplacian

This paper introduces a Hodge-Laplacian framework to analyze higher-order topology in OCD brain networks, identifying loop-level abnormalities not detectable by conventional functional connectivity analysis.

Continuous Neural Correlates of Imbalanced Reinforcement Learning in Obsessive-Compulsive Disorder and Healthy Individuals

The paper identifies a neural network with increased functional connectivity in OCD patients and a subgroup of healthy individuals with imbalanced reinforcement learning.

Memory Trace Imbalance in Reinforcement and Punishment Systems Can Reinforce Implicit Choices Leading to Obsessive-Compulsive Behavior

This study models OCD as implicitly learned maladaptive behaviors in reinforcement learning, showing imbalanced memory traces for positive and negative prediction errors, and links this imbalance to OCD symptoms and therapeutic responses.

White Matter Microstructure and its Relation to Clinical Features of Obsessive-Compulsive Disorder: Findings from the ENIGMA OCD Working Group

This study identifies white matter microstructural alterations in adult OCD patients and links them to clinical features, while finding no such abnormalities in pediatric patients.

Subcortical brain volume, regional cortical thickness and cortical surface area across attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and obsessive-compulsive disorder (OCD): findings from the ENIGMA-ADHD, -ASD, and -OCD working groups

This study compares structural brain differences across ADHD, ASD, and OCD using MRI data from multiple cohorts, finding disorder-specific alterations in brain volume and cortical thickness.

A common neural network among state, trait, and pathological anxiety from whole-brain functional connectivity

The paper identifies a common neural network underlying state, trait, and pathological anxiety using fMRI data across multiple datasets.