Abnormal Insula Network Characteristics in Panic Disorder.

Panic disorder functional connection insular cortex modular network topology properties

Journal

Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999)
ISSN: 1809-452X
Titre abrégé: Braz J Psychiatry
Pays: Brazil
ID NLM: 100895975

Informations de publication

Date de publication:
06 Jun 2024
Historique:
received: 20 12 2023
accepted: 03 03 2024
medline: 13 6 2024
pubmed: 13 6 2024
entrez: 13 6 2024
Statut: aheadofprint

Résumé

Panic disorder (PD) is a common disabling condition characterized by recurrent panic attacks. Emotional and behavioral impairments are associated with functional connectivity (FC) and network abnormalities. We used the whole brain FC, modular networks, and graph-theory analysis to investigate extensive network profiles in PD. The functional MRI data from 82 PD and 97 controls were included. Intrinsic FC between each pair of 160 regions, 6 intra-networks, and 15 inter-networks were analyzed. The topological properties were explored. PD patients showed altered FCs within the right insula, between frontal cortex-posterior cingulate cortex (PCC), frontal cortex-cerebellum, and PCC-occipital cortex (corrected P values < 0.001). Lower connections within the Sensorimotor Network (SMN) and SMN-Occipital Network (OCN) were detected (P values < 0.05). Various decreased global and local network features were found in PD (P values < 0.05). In addition, significant correlations were found between PD symptoms and nodal efficiency (Ne) in the insula (r = -0.273, P = 0.016), and the FC of the intra-insula (r = -0.226, P = 0.041). PD patients present with abnormal functional brain networks, especially the decreased FC and Ne within insula, suggesting that dysfunction of information integration plays an important role in PD.

Sections du résumé

BACKGROUND BACKGROUND
Panic disorder (PD) is a common disabling condition characterized by recurrent panic attacks. Emotional and behavioral impairments are associated with functional connectivity (FC) and network abnormalities. We used the whole brain FC, modular networks, and graph-theory analysis to investigate extensive network profiles in PD.
METHOD METHODS
The functional MRI data from 82 PD and 97 controls were included. Intrinsic FC between each pair of 160 regions, 6 intra-networks, and 15 inter-networks were analyzed. The topological properties were explored.
RESULTS RESULTS
PD patients showed altered FCs within the right insula, between frontal cortex-posterior cingulate cortex (PCC), frontal cortex-cerebellum, and PCC-occipital cortex (corrected P values < 0.001). Lower connections within the Sensorimotor Network (SMN) and SMN-Occipital Network (OCN) were detected (P values < 0.05). Various decreased global and local network features were found in PD (P values < 0.05). In addition, significant correlations were found between PD symptoms and nodal efficiency (Ne) in the insula (r = -0.273, P = 0.016), and the FC of the intra-insula (r = -0.226, P = 0.041).
CONCLUSIONS CONCLUSIONS
PD patients present with abnormal functional brain networks, especially the decreased FC and Ne within insula, suggesting that dysfunction of information integration plays an important role in PD.

Identifiants

pubmed: 38870426
doi: 10.47626/1516-4446-2023-3520
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Research & Practice Innovation Program of Jiangsu Province
ID : SJCX22_0071
Pays : China

Déclaration de conflit d'intérêts

The authors report no conflicts of interest.

Auteurs

Linlin You (L)

Nanjing Medical University, Nanjing, China. Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China.

Wenhao Jiang (W)

Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China.

Taipeng Sun (T)

Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China. Department of medical psychology, Huai'an Third People's Hospital, Huaian, Jiangsu, China.

Yue Zhou (Y)

Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China.

Gang Chen (G)

Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China. Department of medical psychology, Huai'an Third People's Hospital, Huaian, Jiangsu, China.

Wei Xu (W)

Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China.

Chenguang Jiang (C)

Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China.

Yingying Yue (Y)

Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China.

Suzhen Chen (S)

Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China.

Ying Chen (Y)

Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China.

Dan Wang (D)

Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China.

Yonggui Yuan (Y)

Nanjing Medical University, Nanjing, China. Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China.

Classifications MeSH