Evidence map›Paper›PMID 41627672›Full record

ArticleTranslational stroke research2026

Identification of Brain Regions and Networks Critical to Poststroke Cognitive Impairment Through Lesion-symptom and Lesion Network Analyses.

Min Li, Shijie Long, Mingxi Dang, Yaojing Chen, Zhanjun Zhang

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Article in Translational stroke research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 authors.

Min Li *State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China.
Shijie Long *State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China.
Mingxi DangState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China.
Yaojing ChenState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China. chenyaojing@bnu.edu.cn.
Zhanjun ZhangState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China. zhang_rzs@bnu.edu.cn.

Funding

Joint Innovation Team for Clinical & Basic Research, Shandong First Medical University No. CX202408National Key Research and Development Program of China 2023YFC3605400National Natural Science Foundation of China Grant No. 82130118Science and Technology Innovation 2030 Major Projects 2022ZD0211600
6 · The paper itself

Abstract

Clarifying the critical lesion regions of poststroke cognitive impairment (PSCI) could improve the understanding of how anatomical locations and functional networks jointly influence the manifestation of cognitive deficits. Lesion-symptom and lesion network analyses are performed to identify the anatomical sites and functional networks related to specific cognitive functions. The multidomain cognitive statuses and the focal brain lesions of 83 patients with PSCI were recorded during the acute poststroke period (< 2 weeks). Multivariate lesion-symptom mapping was performed to identify risk regions, i.e., lesion sites associated with worse cognitive deficits; functional lesion network mapping was performed to identify risk networks, i.e., brain networks connected to risk regional peaks. Lesion-symptom mapping analysis identified several brain regions where lesions were significantly correlated with neurological deficit, general cognitive impairment, visuospatial dysfunction, and executive dysfunction. Various types of cognitive deficits presented diverse risk region distribution patterns with different peaks. Functional lesion network mapping demonstrated that networks connected to peak risk regions for neurological deficit and general cognitive impairment were mostly similar to the default network (DN), whereas the risk network for visuospatial and executive dysfunctions was the somatomotor network (SN). Functional imaging measurements directly from PSCI patients revealed that intranetwork functional connections within the limbic network, which is functionally similar to the DN, were stably reduced in all patients, and intranetwork functional connections in the SN exhibited the same pattern. Although the decreases did not present the network preference observed in lesion network mapping, these results still support the concept that lesions to specific nodes of the DN or SN are associated with the cognitive deficits that constitute PSCI.

Indexed as

BrainCognitive DysfunctionNerve NetStrokeAgedBrain MappingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeuropsychological TestsCognitive functionDefault networkLesion network mappingLesion-symptom mappingPSCI

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.