Evidence map›Paper›PMID 38046468›Full record

ArticleFrontiers in aging neuroscience2023

Dynamic brain activity states of memory impairment in stroke patients with varying motor outcomes.

Caihong Wang, Jingchun Liu, Jun Guo, Shaoqiang Han, Peifang Miao, Ying Wei, Yingying Wang, Xin Wang, Zhen Li, Kangkang Xue and 2 more

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
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

12 authors.

Caihong WangDepartment of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Jingchun LiuDepartment of Radiology, Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China.
Jun GuoDepartment of Radiology, Tianjin Huanhu Hospital, Tianjin, China.
Shaoqiang HanDepartment of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Peifang MiaoDepartment of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Ying WeiDepartment of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Yingying WangDepartment of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Xin WangDepartment of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Zhen LiDepartment of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Kangkang XueDepartment of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Kaiyu WangMR Research China, GE Healthcare, Beijing, China.
Jingliang ChengDepartment of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The objective of this study was to characterize the alteration patterns of dynamic spatiotemporal activity in chronic subcortical stroke patients with varying motor outcomes, while investigating the imaging indicators relevant to the assessment of potential cognitive deficits in these patients. Methods: A total of 136 patients and 88 normal controls were included in the analysis of static and dynamic intrinsic brain activity, determined by amplitude of low-frequency fluctuations. Results: The findings unveiled that subcortical stroke patients exhibited significantly aberrant temporal dynamics of intrinsic brain activity, involving regions within multiple brain networks. These spatiotemporal patterns were found to be contingent upon the side of the lesion. In addition, these aberrant metrics demonstrated potential in discerning cognitive deficits in stroke patients with memory impairment, with the dynamic indices exerting more influence than the static ones. The observe findings may indicate that subcortical stroke can trigger imbalances in the segregation and integration of spatiotemporal patterns across the entire brain with multi-domain networks, especially in patients with poor motor outcomes. Conclusion: It suggests that the temporal dynamics indices of intrinsic brain activity could serve as potential imaging indicators for assessing cognitive impairment in patients with chronic subcortical stroke, which may be associated with the motor outcomes.

Indexed as

cognitivedALFFfMRIintrinsic brain activitysALFFstroketemporal dynamic

Identifiers

PMID38046468
PMCPMC10690823

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.