Evidence map›Paper›PMID 28382944›Full record

ArticleScientific reports2017

Dynamic Default Mode Network across Different Brain States.

Pan Lin, Yong Yang, Junfeng Gao, Nicola De Pisapia, Sheng Ge, Xiang Wang, Chun S Zuo, James Jonathan Levitt, Chen Niu

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Trial
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  3. [Research on the effect of transcranial direct current stimulation regulation of different targets on working memory based on electroencephalography].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026
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  8. Brain-wide dynamic coactivation states code for hand movements in the resting state.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

9 authors.

Pan LinCollege of Biomedical Engineering, South-Central University for Nationalities, Wuhan, 430074, China.
Yong YangSchool of Information Technology, Jiangxi University of Finance and Economics, Nanchang, 330013, China.
Junfeng GaoCollege of Biomedical Engineering, South-Central University for Nationalities, Wuhan, 430074, China.
Nicola De PisapiaCenter for Mind/Brain Sciences, University of Trento, Mattarello, 38100, Italy.
Sheng GeKey Laboratory of Child Development and Leaning Science of Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, Jiangsu, 210096, China.
Xiang WangMedical Psychological Institute of Second Xiangya Hospital, Central South University, Changsha, 410011, China.
Chun S ZuoBrain Imaging Center, McLean Hospital, Department of Psychiatry, Harvard Medical School, Belmont, MA, 02478, USA.
James Jonathan LevittClinical Neuroscience Division, Laboratory of Neuroscience, Department of Psychiatry, VA, Boston Healthcare System, Brockton Division, and Harvard Medical School, Boston, MA 02301, USA.
Chen NiuDepartment of Medical Imaging, First Affiliated Hospital of Xi'an Jiaotong University College of Medicine, Shaanxi Xi'an 710061, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The default mode network (DMN) is a complex dynamic network that is critical for understanding cognitive function. However, whether dynamic topological reconfiguration of the DMN occurs across different brain states, and whether this potential reorganization is associated with prior learning or experience is unclear. To better understand the temporally changing topology of the DMN, we investigated both nodal and global dynamic DMN-topology metrics across different brain states. We found that DMN topology changes over time and those different patterns are associated with different brain states. Further, the nodal and global topological organization can be rebuilt by different brain states. These results indicate that the post-task, resting-state topology of the brain network is dynamically altered as a function of immediately prior cognitive experience, and that these modulated networks are assembled in the subsequent state. Together, these findings suggest that the changing topology of the DMN may play an important role in characterizing brain states.

Indexed as

AdultBrainBrain MappingCluster AnalysisFemaleHumansMaleNerve NetRestTask Performance and AnalysisTime Factors

Identifiers

PMID28382944
PMCPMC5382672

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.