{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["7(5)"],"submitter":["Zou Y"],"pubmed_abstract":["Unilateral asymptomatic middle cerebral artery stenosis or occlusion (MCAs/o) is an ideal human model for investigating the neural consequences of chronic cerebral hypoperfusion. Using a discovery-validation approach, this study aimed to characterize functional abnormalities in hypoperfused brain regions of unilateral MCAs/o and assess their neurobehavioral implications. In a discovery cohort comprising 41 patients with unilateral MCAs/o and 30 matched controls, patients exhibited significantly impaired performance on bilateral grooved pegboard tests (GPT, <i>P</i> < 0.05). Arterial spin labelling identified hypoperfused regions with prolonged arterial transit time. These regions showed increased intraregional regional homogeneity and functional connectivity (FC), and decreased extraregional FC (FDR-<i>P</i> < 0.05). A machine-learning model integrated these functional imaging features into a hypoperfusion-functional abnormality index (HFAi), which effectively detected early functional abnormalities in MCAs/o patients (AUC = 0.978) and correlated significantly with GPT performance (<i>P</i> < 0.01). Validation in an independent cohort (20 MCAs/o patients and 18 controls) confirmed these findings, demonstrating consistent identification of early functional abnormalities (AUC = 0.861) and correlation between HFAi and GPT scores (<i>P</i> < 0.05). Our results indicate that unilateral MCAs/o increased local neural synchronization coupled with reduced global functional integration, suggesting a shift towards isolated neural processing. These hypoperfusion-related functional abnormalities are closely linked to neurobehavioral alterations and can be objectively quantified."],"journal":["Brain communications"],"pagination":["fcaf393"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12560163"],"repository":["biostudies-literature"],"pubmed_title":["Hypoperfusion-related functional abnormalities of middle cerebral artery stenotic-occlusive disease."],"pmcid":["PMC12560163"],"pubmed_authors":["Si Q","Fan X","Liu L","Cheng A","Liu N","Li M","Zou Y","Liu Y","Guo H","Zhang X","Liu C","Zhou H","Xu W"],"additional_accession":[]},"is_claimable":false,"name":"Hypoperfusion-related functional abnormalities of middle cerebral artery stenotic-occlusive disease.","description":"Unilateral asymptomatic middle cerebral artery stenosis or occlusion (MCAs/o) is an ideal human model for investigating the neural consequences of chronic cerebral hypoperfusion. Using a discovery-validation approach, this study aimed to characterize functional abnormalities in hypoperfused brain regions of unilateral MCAs/o and assess their neurobehavioral implications. In a discovery cohort comprising 41 patients with unilateral MCAs/o and 30 matched controls, patients exhibited significantly impaired performance on bilateral grooved pegboard tests (GPT, <i>P</i> < 0.05). Arterial spin labelling identified hypoperfused regions with prolonged arterial transit time. These regions showed increased intraregional regional homogeneity and functional connectivity (FC), and decreased extraregional FC (FDR-<i>P</i> < 0.05). A machine-learning model integrated these functional imaging features into a hypoperfusion-functional abnormality index (HFAi), which effectively detected early functional abnormalities in MCAs/o patients (AUC = 0.978) and correlated significantly with GPT performance (<i>P</i> < 0.01). Validation in an independent cohort (20 MCAs/o patients and 18 controls) confirmed these findings, demonstrating consistent identification of early functional abnormalities (AUC = 0.861) and correlation between HFAi and GPT scores (<i>P</i> < 0.05). Our results indicate that unilateral MCAs/o increased local neural synchronization coupled with reduced global functional integration, suggesting a shift towards isolated neural processing. These hypoperfusion-related functional abnormalities are closely linked to neurobehavioral alterations and can be objectively quantified.","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025","modification":"2026-06-05T07:38:10.618Z","creation":"2026-05-14T03:12:49.982Z"},"accession":"S-EPMC12560163","cross_references":{"pubmed":["41164779"],"doi":["10.1093/braincomms/fcaf393"]}}