Association between functional network connectivity, retina structure and microvasculature, and visual performance in patients after thalamic stroke: An exploratory multi‐modality study

Author:

Ye Chen12ORCID,Kwapong William Robert12ORCID,Tang Biqiu3,Liu Junfeng12,Tao Wendan12,Lu Kun1,Pan Ruosu1,Wang Anmo1,Liao Lanhua1,Yang Tang1,Cao Le1,Wang Youjie1,Jiang Shuai1,Zhang Xuening1,Liu Ming12,Wu Bo12ORCID

Affiliation:

1. Department of Neurology West China Hospital, Sichuan University Chengdu China

2. Center of Cerebrovascular Diseases West China Hospital, Sichuan University Chengdu China

3. Department of Radiology, Huaxi MR Research Center (HMRRC) West China Hospital, Sichuan University Chengdu China

Abstract

AbstractBackground and objectiveNeuro‐ophthalmologic symptoms and retinal changes have been increasingly observed following thalamic stroke, and there is mounting evidence indicating distinct alterations occurring in the vision‐related functional network. However, the intrinsic correlations between these changes are not yet fully understood. Our objective was to explore the altered patterns of functional network connectivity and retina parameters, and their correlations with visual performance in patients with thalamic stroke.MethodsWe utilized resting‐state functional MRI to obtain multi‐modular functional connectivity (FC), and optical coherence tomography‐angiography to measure various retina parameters, such as the retinal nerve fiber layer (RNFL), ganglion cell‐inner plexiform layer (GCIPL), superficial vascular complex (SVC), and deep vascular complex. Visual acuity (VA) was used as a metric for visual performance.ResultsWe included 46 patients with first‐ever unilateral thalamic stroke (mean age 59.74 ± 10.02 years, 33 males). Significant associations were found between FC of attention‐to‐default mode and SVC, RNFL, and GCIPL, as well as between FC of attention‐to‐visual and RNFL (p < .05). Both RNFL and GCIPL exhibited significant associations with FC of visual‐to‐visual (p < .05). Only GCIPL showed an association with VA (p = .038). Stratified analysis based on a disease duration of 6 months revealed distinct and significant linking patterns in multi‐modular FC and specific retina parameters, with varying correlations with VA in each subgroup.ConclusionThese findings provide valuable insight into the neural basis of the associations between brain network dysfunction and impaired visual performance in patients with thalamic stroke. Our novel findings have the potential to inform future targeted and individualized therapies. However, further comprehensive studies are necessary to validate our results.

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Wiley

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