Bringing precision to the understanding and treatment of mental disorders requires
instruments for studying clinically relevant individual differences. One promising approach is …

Predicting treatment outcome in internalizing mental disorders prior to treatment initiation is
pivotal for precision mental healthcare. In this regard, resting-state functional connectivity (rs …

Major Depressive Disorder (MDD) is a complex, heterogeneous condition affecting millions
worldwide. Computational neuropsychiatry offers potential breakthroughs through the …

This study investigated how resting-state functional connectivity (rsFC) of the subgenual
anterior cingulate cortex (sgACC) predicts antidepressant response in patients with major …

Bringing precision to the understanding and treatment of mental disorders requires
instruments for studying clinically relevant individual differences. One promising approach is …

The development of computational models for studying mental disorders is on the rise.
However, their psychometric properties remain understudied, posing a risk of undermining …

Consciousness and cognition are an increasing focus of theoretical and experimental
research in neuroscience, leveraging the methods and tools of brain dynamics and …

Cognitive sciences are grappling with the reliability paradox: measures that robustly
produce within-group effects tend to have low test-retest reliability, rendering them …

Background: In adolescents, the identification of objective biomarkers for assessing
treatment response is crucial for the development of effective interventions. This …

研究概要を把握するのに有用なサービスであるが, Elicit と同様に情報源が Semantic Scholar
データベースに限られていること, 適切な質問を投げかけなければ, 適切な回答を得られない点に …