Evidence map›Paper›PMID 32585346›Full record

ArticleNeuroImage2020

The relationship between individual variation in macroscale functional gradients and distinct aspects of ongoing thought.

Brontë Mckeown, Will H Strawson, Hao-Ting Wang, Theodoros Karapanagiotidis, Reinder Vos de Wael, Oualid Benkarim, Adam Turnbull, Daniel Margulies, Elizabeth Jefferies, Cade McCall and 2 more

Abstract read
In one paragraph

Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 2 pooled it
–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

53 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

12 authors.

Brontë MckeownDepartment of Psychology, York Neuroimaging Centre, University of York, United Kingdom. Electronic address: bronte.mckeown@york.ac.uk.
Will H StrawsonNeuroscience, Brighton and Sussex Medical School, University of Sussex, United Kingdom.
Hao-Ting WangSackler Centre for Consciousness Studies, University of Sussex, United Kingdom.
Theodoros KarapanagiotidisDepartment of Psychology, York Neuroimaging Centre, University of York, United Kingdom.
Reinder Vos de WaelMcConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada.
Oualid BenkarimMcConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada.
Adam TurnbullDepartment of Psychology, York Neuroimaging Centre, University of York, United Kingdom.
Daniel MarguliesFrontlab, Institut du Cerveau et de la Moelle épinière, UPMC UMRS 1127, Inserm U 1127, CNRS UMR, 7225, Paris, France.
Elizabeth JefferiesDepartment of Psychology, York Neuroimaging Centre, University of York, United Kingdom.
Cade McCallDepartment of Psychology, York Neuroimaging Centre, University of York, United Kingdom.
Boris BernhardtMcConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada.
Jonathan SmallwoodDepartment of Psychology, York Neuroimaging Centre, University of York, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Contemporary accounts of ongoing thought recognise it as a heterogeneous and multidimensional construct, varying in both form and content. An emerging body of evidence demonstrates that distinct types of experience are associated with unique neurocognitive profiles, that can be described at the whole-brain level as interactions between multiple large-scale networks. The current study sought to explore the possibility that whole-brain functional connectivity patterns at rest may be meaningfully related to patterns of ongoing thought that occurred over this period. Participants underwent resting-state functional magnetic resonance imaging (rs-fMRI) followed by a questionnaire retrospectively assessing the content and form of their ongoing thoughts during the scan. A non-linear dimension reduction algorithm was applied to the rs-fMRI data to identify components explaining the greatest variance in whole-brain connectivity patterns. Using these data, we examined whether specific types of thought measured at the end of the scan were predictive of individual variation along the first three low-dimensional components of functional connectivity at rest. Multivariate analyses revealed that individuals for whom the connectivity of the sensorimotor system was maximally distinct from the visual system were most likely to report thoughts related to finding solutions to problems or goals and least likely to report thoughts related to the past. These results add to an emerging literature that suggests that unique patterns of experience are associated with distinct distributed neurocognitive profiles and highlight that unimodal systems may play an important role in this process.

Indexed as

IndividualityAdolescentBrainDefault Mode NetworkFemaleFunctional NeuroimagingHumansMagnetic Resonance ImagingMaleNerve NetThinkingYoung AdultCortical GradientsFunctional connectivityMind-wanderingProblem solvingUnimodalWhole-brain

Identifiers

PMID32585346
PMCPMC7573534

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.