Evidence map›Paper›PMID 33391148›Full record

ArticleFrontiers in neurology2020

Altered Prefrontal-Basal Ganglia Effective Connectivity in Patients With Poststroke Cognitive Impairment.

Jing Zhang, Zixiao Li, Xingxing Cao, Lijun Zuo, Wei Wen, Wanlin Zhu, Jiyang Jiang, Jian Cheng, Perminder Sachdev, Tao Liu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 42% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Review
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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

11 authors at 6 institutions in 2 countries.

Jing ZhangSchool of Biological Science and Medical Engineering, Beihang University, Beijing, China.
Zixiao LiBeijing TianTan Hospital, Capital Medical University, Beijing, China.
Xingxing CaoSchool of Biological Science and Medical Engineering, Beihang University, Beijing, China.
Lijun ZuoBeijing TianTan Hospital, Capital Medical University, Beijing, China.
Wei WenCentre for Healthy Brain Ageing, School of Psychiatry (CHeBA), University of New South Wales, Sydney, NSW, Australia.
Wanlin ZhuBeijing TianTan Hospital, Capital Medical University, Beijing, China.
Jiyang JiangCentre for Healthy Brain Ageing, School of Psychiatry (CHeBA), University of New South Wales, Sydney, NSW, Australia.
Jian ChengBeijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beijing, China.
Perminder SachdevCentre for Healthy Brain Ageing, School of Psychiatry (CHeBA), University of New South Wales, Sydney, NSW, Australia.
Tao LiuSchool of Biological Science and Medical Engineering, Beihang University, Beijing, China.
Yongjun WangBeijing TianTan Hospital, Capital Medical University, Beijing, China.
Beihang University · CNCapital Medical University · CNUNSW Sydney · AUBeijing Advanced Sciences and Innovation Center · CNBeijing Tian Tan Hospital · CNPrince of Wales Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the association between poststroke cognitive impairment and a specific effective network connectivity in the prefrontal-basal ganglia circuit. The resting-state effective connectivity of this circuit was modeled by employing spectral dynamic causal modeling in 11 poststroke patients with cognitive impairment (PSCI), 8 poststroke patients without cognitive impairment (non-PSCI) at baseline and 3-month follow-up, and 28 healthy controls. Our results showed that different neuronal models of effective connectivity in the prefrontal-basal ganglia circuit were observed among healthy controls, non-PSCI, and PSCI patients. Additional connected paths (extra paths) appeared in the neuronal models of stroke patients compared with healthy controls. Moreover, changes were detected in the extra paths of non-PSCI between baseline and 3-month follow-up poststroke, indicating reorganization in the ipsilesional hemisphere and suggesting potential compensatory changes in the contralesional hemisphere. Furthermore, the connectivity strengths of the extra paths from the contralesional ventral anterior nucleus of thalamus to caudate correlated significantly with cognitive scores in non-PSCI and PSCI patients. These suggest that the neuronal model of effective connectivity of the prefrontal-basal ganglia circuit may be sensitive to stroke-induced cognitive decline, and it could be a biomarker for poststroke cognitive impairment 3 months poststroke. Importantly, contralesional brain regions may play an important role in functional compensation of cognitive decline.

Indexed as

cognitive impairmentdynamic causal modelingfMRIprefrontal–basal ganglia circuitstroke

Identifiers

PMID33391148
PMCPMC7772311
OpenAlexW3112817150

What OpenQuestion holds

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LicenceCC BY
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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.