Gray Matter and Cognitive Alteration Related to Chronic Obstructive Pulmonary Disease Patients: Combining ALE Meta-analysis and MACM Analysis

Abstract Background: Chronic obstructive pulmonary disease (COPD) is frequently comorbid with cognitive impairment, but it has not been paid enough attention, and its neuroanatomical characteristics have not been fully identified. Methods: Voxel-based morphometric (VBM) studies comparing gray matter (GM) abnormalities in COPD patients with healthy controls (HCs) were searched using 8 electronic databases from the inception to March 2023. Stereotactic data were extracted and tested for convergence and differences using the activation likelihood estimation (ALE) method. Moreover, based on the ALE results, a structural meta-analytic connectivity modeling (MACM) was conducted to explore the co-atrophy pattern in patients with COPD. Last, behavioral analysis was performed to assess the functional roles of the regions affected by COPD. Results: In total, 11 studies on COPD with 949 participants were included. Voxel-based meta-analysis revealed significant GM abnormalities in the right postcentral gyrus (including inferior parietal lobule), left precentral gyrus, and left cingulate gyrus (including paracentral lobule) in patients with COPD compared with HCs. Further MACM analysis revealed a deeper co-atrophy pattern between the brain regions with abnormal GM structure and the insula in COPD patients. Behavioral analysis showed that the abnormal GM structure in the left cingulate gyrus (including paracentral lobule) was strongly associated with cognitive function, especially executive function. Conclusions: COPD comorbid with cognitive impairment has a specific neurostructural basis of GM structural abnormalities, which may also involve a deeper co-atrophy pattern between the insula. These findings enhance our understanding of the underlying neuropathogenesis and suggest potential imaging markers for cognitive impairment in COPD patients. PROSPERO registration number: CRD42022298722..

Medienart:

Preprint

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

ResearchSquare.com - (2023) vom: 12. Dez. Zur Gesamtaufnahme - year:2023

Sprache:

Englisch

Beteiligte Personen:

Liang, Junquan [VerfasserIn]
Yu, Qiaoyun [VerfasserIn]
Chen, Limei [VerfasserIn]
Li, Zhongxian [VerfasserIn]
Liu, Yuchen [VerfasserIn]
Qiu, Yidan [VerfasserIn]
Guan, Huiting [VerfasserIn]
Tang, Rundong [VerfasserIn]
Yan, Luda [VerfasserIn]
Zhou, Peng [VerfasserIn]

Links:

Volltext [kostenfrei]

Themen:

570
Biology

doi:

10.21203/rs.3.rs-3708858/v1

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XRA041851803