Evidence map›Paper›PMID 38725138›Full record

ArticleAnnals of clinical and translational neurology2024

Abnormal dynamic functional connectivity in young nondisabling intracerebral hemorrhage patients.

Dan Yang, Xiangqi Luo, Shengjun Sun, Xue Zhang, Fengxia Zhang, Xingquan Zhao, Jian Zhou

Abstract read
In one paragraph

Article in Annals of clinical and translational neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Altered Dynamic Functional Network Connectivity in Post-Stroke Aphasia.Annals of clinical and translational neurology · 2026
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Dan YangDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.ORCID 0000-0002-3020-5758
Xiangqi LuoNational Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.
Shengjun SunDepartment of Neuroradiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
Xue ZhangDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.ORCID 0000-0002-9877-9467
Fengxia ZhangDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
Xingquan ZhaoDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.ORCID 0000-0001-8345-5147
Jian ZhouDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.ORCID 0000-0002-0822-8320

Funding

National Key Research and Development Program of China 2018YFC1312200National Natural Science Foundation of China 81971614
6 · The paper itself

Abstract

objectivePrevious resting-state functional magnetic resonance imaging studies on intracerebral hemorrhage patients have focused more on the static characteristics of brain activity, while the time-varying effects during scanning have received less attention. Therefore, the current study aimed to explore the dynamic functional network connectivity changes of intracerebral hemorrhage patients.

methodsUsing independent component analysis, the sliding window approach, and the k-means clustering analysis method, different dynamic functional network connectivity states were detected from resting-state functional magnetic resonance imaging data of 37 intracerebral hemorrhage patients and 44 healthy controls. The inter-group differences in dynamic functional network connectivity patterns and temporal properties were investigated, followed by correlation analyses between clinical scales and abnormal functional indexes.

resultsTen resting-state networks were identified, and the dynamic functional network connectivity matrices were clustered into four different states. The transition numbers were decreased in the intracerebral hemorrhage patients compared with healthy controls, which was associated with trail making test scores in patients. The cerebellar network and executive control network connectivity in State 1 was reduced in patients, and this abnormal dynamic functional connectivity was positively correlated with the animal fluency test scores of patients.

interpretationThe current study demonstrated the characteristics of dynamic functional network connectivity in intracerebral hemorrhage patients and revealed that abnormal temporal properties and functional connectivity may be related to the performance of different cognitive domains after ictus. These results may provide new insights into exploring the neurocognitive mechanisms of intracerebral hemorrhage.

Indexed as

Cerebral HemorrhageMagnetic Resonance ImagingNerve NetAdultBrainConnectomeExecutive FunctionFemaleHumansMaleMiddle Aged

Identifiers

PMID38725138
PMCPMC11187952

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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.