Evidence map›Paper›PMID 37007197›Full record

ArticleCognitive neurodynamics2023

Frequency-dependent effective connections between local signals and the global brain signal during resting-state.

Yifeng Wang, Chengxiao Yang, Gen Li, Yujia Ao, Muliang Jiang, Qian Cui, Yajing Pang, Xiujuan Jing

Abstract read
In one paragraph

Article in Cognitive neurodynamics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

8 authors.

Yifeng WangInstitute of Brain and Psychological Sciences, Sichuan Normal University, No.5, Jing'an Road, Chengdu, 610066 China.
Chengxiao YangInstitute of Brain and Psychological Sciences, Sichuan Normal University, No.5, Jing'an Road, Chengdu, 610066 China.
Gen LiInstitute of Brain and Psychological Sciences, Sichuan Normal University, No.5, Jing'an Road, Chengdu, 610066 China.
Yujia AoInstitute of Brain and Psychological Sciences, Sichuan Normal University, No.5, Jing'an Road, Chengdu, 610066 China.
Muliang JiangFirst Affiliated Hospital, Guangxi Medical University, Nanning, 530021 China.
Qian CuiSchool of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu, China.
Yajing PangSchool of Electrical Engineering, Zhengzhou University, Zhengzhou, China.
Xiujuan JingTianfu College of Southwestern University of Finance and Economics, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The psychological and physiological meanings of resting-state global brain signal (GS) and GS topography have been well confirmed. However, the causal relationship between GS and local signals was largely unknown. Based on the Human Connectome Project dataset, we investigated the effective GS topography using the Granger causality (GC) method. In consistent with GS topography, both effective GS topographies from GS to local signals and from local signals to GS showed greater GC values in sensory and motor regions in most frequency bands, suggesting that the unimodal superiority is an intrinsic architecture of GS topography. However, the significant frequency effect for GC values from GS to local signals was primarily located in unimodal regions and dominated at slow 4 frequency band whereas that from local signals to GS was mainly located in transmodal regions and dominated at slow 6 frequency band, consisting with the opinion that the more integrated the function, the lower the frequency. These findings provided valuable insight for the frequency-dependent effective GS topography, improving the understanding of the underlying mechanism of GS topography. Supplementary Information: The online version contains supplementary material available at 10.1007/s11571-022-09831-0.

Indexed as

Effective connectionfMRIFrequency-specificGlobal signalGranger causality

Identifiers

PMID37007197
PMCPMC10050607

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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.