Evidence map›Paper›PMID 38066069›Full record

ArticleScientific reports2023

Experience sampling reveals the role that covert goal states play in task-relevant behavior.

Brontë Mckeown, Will H Strawson, Meichao Zhang, Adam Turnbull, Delali Konu, Theodoros Karapanagiotidis, Hao-Ting Wang, Robert Leech, Ting Xu, Samyogita Hardikar and 5 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.2field-weighted citation impact, top 5% 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, 24 citations in OpenAlex.

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  6. Body mass index-dependent shifts along large-scale gradients in human cortical organization explain dietary regulatory success.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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

15 authors at 12 institutions in 6 countries.

Brontë MckeownPsychology Department, Queen's University, Kingston, K7L 3N6, Canada. bronte.mckeown@queensu.ca.
Will H StrawsonNeuroscience, Brighton and Sussex Medical School, University of Sussex, Brighton, BN1 9RH, UK.
Meichao ZhangCAS Key Laboratory of Behavioural Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China.
Adam TurnbullDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, 94305, USA.
Delali KonuDepartment of Psychology, Durham University, Durham, DH1 3LE, UK.
Theodoros KarapanagiotidisSchool of Psychology, University of Sussex, Brighton, BN1 9QH, UK.
Hao-Ting WangCentre de Recherche de l'institut Universitaire de Gériatrie de Montréal (CRIUGM), Montreal, QC, H3W 1W5, Canada.
Robert LeechCentre for Neuroimaging Science, King's College, London, SE5 8AF, UK.
Ting XuCenter for the Developing Brain, Child Mind Institute, New York, 10022, USA.
Samyogita HardikarDepartment of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, 04103, Leipzig, Germany.
Boris BernhardtMontreal Neurological Institute, McGill University, Montreal, H3A 2B4, Canada.
Daniel MarguliesIntegrative Neuroscience and Cognition Center (UMR 8002, Centre National de la Recherche Scientifique (CNRS) and Université de Paris, 75006, Paris, France.
Elizabeth JefferiesDepartment of Psychology, University of York, York, YO10 4LX, UK.
Jeffrey WammesPsychology Department, Queen's University, Kingston, K7L 3N6, Canada.
Jonathan SmallwoodPsychology Department, Queen's University, Kingston, K7L 3N6, Canada.
Queen's University · CAUniversity of Sussex · GBCentre National de la Recherche Scientifique · FRChild Mind Institute · USDurham University · GBInstitute of Psychology, Chinese Academy of Sciences · CNInstitut Universitaire de Gériatrie de Montréal · CAMax Planck Institute for Human Cognitive and Brain Sciences · DEMontreal Neurological Institute and Hospital · CAStanford University · USUniversity of York · GBWellcome Centre for Human Neuroimaging · GB

Funding

European Research Council WANDERINGMINDS-646927
6 · The paper itself

Abstract

Cognitive neuroscience has gained insight into covert states using experience sampling. Traditionally, this approach has focused on off-task states. However, task-relevant states are also maintained via covert processes. Our study examined whether experience sampling can also provide insights into covert goal-relevant states that support task performance. To address this question, we developed a neural state space, using dimensions of brain function variation, that allows neural correlates of overt and covert states to be examined in a common analytic space. We use this to describe brain activity during task performance, its relation to covert states identified via experience sampling, and links between individual variation in overt and covert states and task performance. Our study established deliberate task focus was linked to faster target detection, and brain states underlying this experience-and target detection-were associated with activity patterns emphasizing the fronto-parietal network. In contrast, brain states underlying off-task experiences-and vigilance periods-were linked to activity patterns emphasizing the default mode network. Our study shows experience sampling can not only describe covert states that are unrelated to the task at hand, but can also be used to highlight the role fronto-parietal regions play in the maintenance of covert task-relevant states.

Indexed as

Ecological Momentary AssessmentGoalsBrainBrain MappingMagnetic Resonance ImagingParietal Lobe

Identifiers

PMID38066069
PMCPMC10709616
OpenAlexW4389480662

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.