Evidence map›Paper›PMID 41874785›Full record

ArticleBrain topography2026

Relationship of Behavioral Activation to Time-Varying Sub-Network Coherence in Attention and Reward Neural Networks.

Katherine G Warthen, Arielle S Keller, Leanne M Williams

Abstract read
PubMed Publisher
In one paragraph

Article in Brain topography, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Katherine G WarthenDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, CA, USA.
Arielle S KellerDepartment of Psychological Sciences, University of Connecticut, Storrs, CT, USA.
Leanne M WilliamsDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, CA, USA. leawilliams@stanford.edu.

Funding

National Institutes of Mental Health 1L30MH131061-01National Institutes of Mental Health 1U01MH109985
6 · The paper itself

Abstract

Behavioral drive, or activation, which includes cognitive effort and motivation is critical for accomplishing day-to-day tasks. Yet the brain network dynamics supporting behavioral drive are incompletely understood. Here, we investigate intra-network coherence in attention and reward networks during a modified effort expenditure for reward task. We relate time-varying patterns in intra-network coherence to individuals' self-reported behavioral drive. More time spent in a highly coherent attention network state, as well as lower switching rates between sub-networks, were associated with higher drive. These findings suggest that intra- and inter-network dynamics in associative brain networks may play a role in individual drive and may be a promising target for future research and the eventual development of treatment interventions in disorders affecting behavioral drive.

Indexed as

AttentionBrainNerve NetRewardBrain MappingFemaleHumansMagnetic Resonance ImagingMaleMotivationNeural PathwaysTime FactorsAttention networksBehavioral motivationReward networksTime-varying connectivity

Identifiers

PMID41874785

What OpenQuestion holds

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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.