Evidence map›Paper›PMID 28627049›Full record

ArticleHuman brain mapping2017

Making group inferences using sparse representation of resting-state functional mRI data with application to sleep deprivation.

Hui Shen, Huaze Xu, Lubin Wang, Yu Lei, Liu Yang, Peng Zhang, Jian Qin, Ling-Li Zeng, Zongtan Zhou, Zheng Yang and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Human brain mapping, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Brain connectivity changes associated with acute sleep deprivation: a systematic review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Pooled it
  2. Article
  3. Constrained CPD of Complex-Valued Multi-Subject fMRI Data via Alternating Rank-R and Rank-1 Least Squares.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2022
    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

11 authors at 2 institutions in 1 country.

Hui ShenCollege of Mechatronics and Automation, National University of Defense Technology Changsha, Hunan, 410073, China.ORCID 0000-0002-5582-4555
Huaze XuCollege of Mechatronics and Automation, National University of Defense Technology Changsha, Hunan, 410073, China.
Lubin WangCognitive and Mental Health Research Center, Beijing Institute of Basic Medical Sciences, Beijing, 100850, China.
Yu LeiCognitive and Mental Health Research Center, Beijing Institute of Basic Medical Sciences, Beijing, 100850, China.
Liu YangCognitive and Mental Health Research Center, Beijing Institute of Basic Medical Sciences, Beijing, 100850, China.
Peng ZhangCollege of Mechatronics and Automation, National University of Defense Technology Changsha, Hunan, 410073, China.
Jian QinCollege of Mechatronics and Automation, National University of Defense Technology Changsha, Hunan, 410073, China.
Ling-Li ZengCollege of Mechatronics and Automation, National University of Defense Technology Changsha, Hunan, 410073, China.
Zongtan ZhouCollege of Mechatronics and Automation, National University of Defense Technology Changsha, Hunan, 410073, China.
Zheng YangCognitive and Mental Health Research Center, Beijing Institute of Basic Medical Sciences, Beijing, 100850, China.
Dewen HuCollege of Mechatronics and Automation, National University of Defense Technology Changsha, Hunan, 410073, China.
National University of Defense Technology · CNBeijing Institute of Education · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Past studies on drawing group inferences for functional magnetic resonance imaging (fMRI) data usually assume that a brain region is involved in only one functional brain network. However, recent evidence has demonstrated that some brain regions might simultaneously participate in multiple functional networks. Here, we presented a novel approach for making group inferences using sparse representation of resting-state fMRI data and its application to the identification of changes in functional networks in the brains of 37 healthy young adult participants after 36 h of sleep deprivation (SD) in contrast to the rested wakefulness (RW) stage. Our analysis based on group-level sparse representation revealed that multiple functional networks involved in memory, emotion, attention, and vigilance processing were impaired by SD. Of particular interest, the thalamus was observed to contribute to multiple functional networks in which differentiated response patterns were exhibited. These results not only further elucidate the impact of SD on brain function but also demonstrate the ability of the proposed approach to provide new insights into the functional organization of the resting-state brain by permitting spatial overlap between networks and facilitating the description of the varied relationships of the overlapping regions with other regions of the brain in the context of different functional systems. Hum Brain Mapp 38:4671-4689, 2017. © 2017 Wiley Periodicals, Inc.

Indexed as

BrainBrain MappingHumansMagnetic Resonance ImagingMaleReproducibility of ResultsRestSleep DeprivationWakefulnessYoung Adultbrainfunctional magnetic resonance imaging (fMRI)group inferencesleep deprivation (SD)sparse representation

Identifiers

PMID28627049
PMCPMC6867084
OpenAlexW2700308904

What OpenQuestion holds

Textmetadata
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.