Association between retinal vascular caliber and brain structure in schizophrenia.


Journal

Asian journal of psychiatry
ISSN: 1876-2026
Titre abrégé: Asian J Psychiatr
Pays: Netherlands
ID NLM: 101517820

Informations de publication

Date de publication:
Jul 2021
Historique:
received: 24 11 2020
revised: 11 05 2021
accepted: 21 05 2021
pubmed: 31 5 2021
medline: 22 6 2021
entrez: 30 5 2021
Statut: ppublish

Résumé

Several lines of research in the last decade have indicated the potential utility of retina as a window to the brain. Emerging evidence suggests abnormalities in retinal vascular caliber in schizophrenia. However, the relationship between retinal vascular measures and brain structure has not been examined in schizophrenia to date. Hence, we examined the relationship between retinal vasculature measured using fundus photography and brain structure measured using magnetic resonance imaging. We recruited 17 healthy volunteers and 20 patients with schizophrenia. Using a non-mydriatic camera, we captured the images for left and right eyes separately and retinal vascular calibers were calculated using a semi-automated software package. Whole-brain anatomical T1 MPRAGE images were acquired using a 3-Tesla MRI scanner. Whole-brain and regional volume and cortical thickness were calculated using the Freesurfer software package. We used FreeSurfer's QDEC interface to compute vertex-by-vertex for analysis of the volume and cortical thickness. The relation between brain volume, cortical thickness, and retinal vascular caliber was examined using partial correlation and regression analysis. There was a significant negative correlation between average CRVE and global cortical mean thickness in schizophrenia but not in healthy. In schizophrenia patients, there was a significant negative correlation between average CRVE and cortical thickness in frontal regions - left rostral middle frontal, left superior frontal, and right caudal middle frontal gyri and posterior brain regions - left lateral occipital gyrus and left posterior cingulate cortex. The findings of the study suggest potential utility of retinal venular diameter as a proxy marker to abnormal neurodevelopment in schizophrenia.

Identifiants

pubmed: 34052670
pii: S1876-2018(21)00163-5
doi: 10.1016/j.ajp.2021.102707
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

102707

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Auteurs

Vittal Korann (V)

National Institute of Mental Health and Neurosciences, Bangalore, India.

Abhishek Appaji (A)

Department of Medical Electronics, BMS College of Engineering, Bangalore, India.

Arpitha Jacob (A)

National Institute of Mental Health and Neurosciences, Bangalore, India.

Priyanka Devi (P)

National Institute of Mental Health and Neurosciences, Bangalore, India.

Bhargavi Nagendra (B)

National Institute of Mental Health and Neurosciences, Bangalore, India.

Dona Maria Chako (DM)

National Institute of Mental Health and Neurosciences, Bangalore, India.

Ananth Padmanabha (A)

National Institute of Mental Health and Neurosciences, Bangalore, India.

Umesh Thonse (U)

National Institute of Mental Health and Neurosciences, Bangalore, India.

Rose Dawn Bharath (RD)

National Institute of Mental Health and Neurosciences, Bangalore, India.

Vijay Kumar (V)

National Institute of Mental Health and Neurosciences, Bangalore, India.

Shivarama Varambally (S)

National Institute of Mental Health and Neurosciences, Bangalore, India.

Ganesan Venkatasubramanian (G)

National Institute of Mental Health and Neurosciences, Bangalore, India.

Shyam Vasudeva Rao (SV)

Department of Medical Electronics, BMS College of Engineering, Bangalore, India.

Carroll A B Webers (CAB)

University Eye Clinic Maastricht, Maastricht University, Maastricht, the Netherlands.

Tos T J M Berendschot (TTJM)

University Eye Clinic Maastricht, Maastricht University, Maastricht, the Netherlands.

Naren P Rao (NP)

National Institute of Mental Health and Neurosciences, Bangalore, India. Electronic address: docnaren@gmail.com.

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Classifications MeSH