Evidence map›Paper›PMID 26796968›Full record

ArticleSocial cognitive and affective neuroscience2016

Spontaneous activity in default-mode network predicts ascription of self-relatedness to stimuli.

Pengmin Qin, Simone Grimm, Niall W Duncan, Yan Fan, Zirui Huang, Timothy Lane, Xuchu Weng, Malek Bajbouj, Georg Northoff

Open access · bronzeAbstract read
In one paragraph

Article in Social cognitive and affective neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

18 citing papers in PubMed, 52 citations in OpenAlex.

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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 at 6 institutions in 6 countries.

Pengmin QinGraduate Institute of Humanities in Medicine, Taipei Medical University, Taipei, Taiwan, Mind, Brain Imaging and Neuroethics Unit, University of Ottawa Institute of Mental Health Research (IMHR), Ottawa, Canada, Brain and Consciousness Research Center, Taipei Medical University-Shuang Ho Hospital, New Taipei City, Taiwan, qin.pengmin@gmail.com pengmin.qin@theroyal.ca.
Simone GrimmDepartment of Psychiatry, Charité, CBF, Berlin, Germany, Department of Psychiatry, Psychotherapy and Psychosomatics, Hospital of Psychiatry, University of Zurich, Zurich, Switzerland.
Niall W DuncanGraduate Institute of Humanities in Medicine, Taipei Medical University, Taipei, Taiwan, Brain and Consciousness Research Center, Taipei Medical University-Shuang Ho Hospital, New Taipei City, Taiwan.
Yan FanDepartment of Psychiatry, Charité, CBF, Berlin, Germany.
Zirui HuangMind, Brain Imaging and Neuroethics Unit, University of Ottawa Institute of Mental Health Research (IMHR), Ottawa, Canada.
Timothy LaneGraduate Institute of Humanities in Medicine, Taipei Medical University, Taipei, Taiwan, Brain and Consciousness Research Center, Taipei Medical University-Shuang Ho Hospital, New Taipei City, Taiwan.
Xuchu WengCenter for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, Zhejiang, China, and.
Malek BajboujDepartment of Psychiatry, Charité, CBF, Berlin, Germany.
Georg NorthoffGraduate Institute of Humanities in Medicine, Taipei Medical University, Taipei, Taiwan, Mind, Brain Imaging and Neuroethics Unit, University of Ottawa Institute of Mental Health Research (IMHR), Ottawa, Canada, Brain and Consciousness Research Center, Taipei Medical University-Shuang Ho Hospital, New Taipei City, Taiwan, Center for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, Zhejiang, China, and University of Ottawa Brain and Mind Research Institute.
Charité - Universitätsmedizin Berlin · DETaipei Medical University · TWTaipei Medical University-Shuang Ho Hospital · TWHangzhou Normal University · CNUniversity Hospital of Zurich · CHUniversity of Ottawa · CA

Funding

Canadian Institutes of Health Research 201103CCI-248496-CCI-CECA-179644Canadian Institutes of Health Research 201103MOP-244752-BSB-CECA-179644
6 · The paper itself

Abstract

Spontaneous activity levels prior to stimulus presentation can determine how that stimulus will be perceived. It has also been proposed that such spontaneous activity, particularly in the default-mode network (DMN), is involved in self-related processing. We therefore hypothesised that pre-stimulus activity levels in the DMN predict whether a stimulus is judged as self-related or not. Participants were presented in the MRI scanner with a white noise stimulus that they were instructed contained their name or another. They then had to respond with which name they thought they heard. Regions where there was an activity level difference between self and other response trials 2 s prior to the stimulus being presented were identified. Pre-stimulus activity levels were higher in the right temporoparietal junction, the right temporal pole and the left superior temporal gyrus in trials where the participant responded that they heard their own name than trials where they responded that they heard another. Pre-stimulus spontaneous activity levels in particular brain regions, largely overlapping with the DMN, predict the subsequent judgement of stimuli as self-related. This extends our current knowledge of self-related processing and its apparent relationship with intrinsic brain activity in what can be termed a rest-self overlap.

Indexed as

AdultArousalAttentionAuditory PerceptionAwarenessBrainBrain MappingFemaleHumansImaging, Three-DimensionalMagnetic Resonance ImagingMaleNerve NetPerceptual MaskingRecognition, PsychologyReference Valuesdefault-mode networkown namepre-stimulus activityrest–stimulus interactionself-related processing

Identifiers

PMID26796968
PMCPMC4814798
OpenAlexW2289444350

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.