Literature DB >> 31997729

Distinct neural networks associated with obsession and delusion: a connectome-wide association study.

Tae Young Lee1, Wi Hoon Jung2, Yoo Bin Kwak3, Youngwoo B Yoon4, Junhee Lee1, Minah Kim1, Euitae Kim1, Jun Soo Kwon1,3.   

Abstract

BACKGROUND: Obsession and delusion are theoretically distinct from each other in terms of reality testing. Despite such phenomenological distinction, no extant studies have examined the identification of common and distinct neural correlates of obsession and delusion by employing biologically grounded methods. Here, we investigated dimensional effects of obsession and delusion spanning across the traditional diagnostic boundaries reflected upon the resting-state functional connectivity (RSFC) using connectome-wide association studies (CWAS).
METHODS: Our study sample comprised of 96 patients with obsessive-compulsive disorder, 75 patients with schizophrenia, and 65 healthy controls. A connectome-wide analysis was conducted to examine the relationship between obsession and delusion severity and RFSC using multivariate distance-based matrix regression.
RESULTS: Obsession was associated with the supplementary motor area, precentral gyrus, and superior parietal lobule, while delusion was associated with the precuneus. Follow-up seed-based RSFC and modularity analyses revealed that obsession was related to aberrant inter-network connectivity strength. Additional inter-network analyses demonstrated the association between obsession severity and inter-network connectivity between the frontoparietal control network and the dorsal attention network.
CONCLUSIONS: Our CWAS study based on the Research Domain Criteria (RDoC) provides novel evidence for the circuit-level functional dysconnectivity associated with obsession and delusion severity across diagnostic boundaries. Further refinement and accumulation of biomarkers from studies embedded within the RDoC framework would provide useful information in treating individuals who have some obsession or delusion symptoms but cannot be identified by the category of clinical symptoms alone.

Entities:  

Keywords:  Biotypes; Research Domain Criteria (RDoC); connectome-wide association study (CWAS); delusion; obsession; resting-state functional connectivity (RSFC)

Year:  2020        PMID: 31997729     DOI: 10.1017/S0033291720000057

Source DB:  PubMed          Journal:  Psychol Med        ISSN: 0033-2917            Impact factor:   7.723


  4 in total

Review 1.  A Systematic Approach to Neuropsychiatric Intervention: Functional Neuroanatomy Underlying Symptom Domains as Targets for Treatment.

Authors:  Taylor Kuhn; Jonathan Haroon; Norman M Spivak
Journal:  Focus (Am Psychiatr Publ)       Date:  2022-01-25

2.  Sex differences in the behavioral inhibition system and ventromedial prefrontal cortex connectivity.

Authors:  Wi Hoon Jung; Tae Young Lee; Minah Kim; Junhee Lee; Sanghoon Oh; Silvia Kyungjin Lho; Sun-Young Moon; Jun Soo Kwon
Journal:  Soc Cogn Affect Neurosci       Date:  2022-06-03       Impact factor: 4.235

3.  Functional Connectivity within the Frontal-Striatal Network Differentiates Checkers from Washers of Obsessive-Compulsive Disorder.

Authors:  Jianping Yu; Minyao Xie; Shasha Song; Ping Zhou; Fangzheng Yuan; Mengyuan Ouyang; Chun Wang; Na Liu; Ning Zhang
Journal:  Brain Sci       Date:  2022-07-28

4.  Study Protocol for a Prospective Longitudinal Cohort Study to Identify Proteomic Predictors of Pluripotent Risk for Mental Illness: The Seoul Pluripotent Risk for Mental Illness Study.

Authors:  Tae Young Lee; Junhee Lee; Hyun Ju Lee; Yunna Lee; Sang Jin Rhee; Dong Yeon Park; Myung Jae Paek; Eun Young Kim; Euitae Kim; Sungwon Roh; Hee Yeon Jung; Minah Kim; Se Hyun Kim; Dohyun Han; Yong Min Ahn; Kyooseob Ha; Jun Soo Kwon
Journal:  Front Psychiatry       Date:  2020-04-21       Impact factor: 4.157

  4 in total

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