Evidence map›Paper›PMID 42182146›Full record

ArticlebioRxiv : the preprint server for biology2026

An fMRI dataset of verbalized spontaneous thought with annotated transcripts and self-report trait measures.

Mengting Zhang, Philip R Liu, Haowen Su, Mengqi Zhao, Xian Li, Savannah Born, Yoonjung Lee, Christopher J Honey, Janice Chen, Hongmi Lee

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

10 authors.

Mengting ZhangDepartment of Psychological Sciences, Purdue University, West Lafayette, IN, USA.
Philip R LiuDepartment of Computer Science, Purdue University, West Lafayette, IN, USA.
Haowen SuDepartment of Psychological Sciences, Purdue University, West Lafayette, IN, USA.
Mengqi ZhaoDepartment of Psychological Sciences, Purdue University, West Lafayette, IN, USA.
Xian LiDepartment of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD, USA.
Savannah BornDepartment of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA.
Yoonjung LeeDepartment of Psychology, University of Oregon, Eugene, OR, USA.
Christopher J HoneyDepartment of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD, USA.
Janice ChenDepartment of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD, USA.
Hongmi LeeDepartment of Psychological Sciences, Purdue University, West Lafayette, IN, USA.ORCID 0000-0001-8023-0727

Funding

Integrating and separating information sequences in the human cerebral cortexR01MH119099 · NIMH · JOHNS HOPKINS UNIVERSITY · PI HONEY, CHRISTOPHER JOHN · 2019 to 2023
$2.5M
Event networks and the neural representations that support real-world memoryR01MH133732 · NIMH · JOHNS HOPKINS UNIVERSITY · PI JANICE CHEN · 2023 to 2026
$2.0M
NIMH NIH HHS R01 MH119099NIMH NIH HHS R01 MH133732
6 · The paper itself

Abstract

Spontaneous thought is pervasive in everyday human cognition, yet datasets capturing its neural dynamics under minimally interrupted conditions remain limited. The current dataset was acquired from a think-aloud functional MRI experiment in which 118 participants continuously verbalized their spontaneous thoughts during 10-minute scanning sessions. The raw MRI data and verbal transcripts with sentence-level timestamps were previously released and analyzed in our prior study examining neural activity associated with thought transitions. Building on that release, we additionally provide preprocessed MRI data, speech transcriptions with word-level timestamps aligned to image acquisition, large language model-generated ratings of transcribed thoughts across emotional and sensory dimensions, and self-report survey measures assessing personality, mental health, and cognitive abilities. Validation analyses demonstrated activation in expected cortical regions associated with speech production and sensory content identified from transcript annotations, agreement between language model and human ratings, and adequate internal consistency of survey measures, supporting the dataset's overall quality. This dataset enables reuse for investigations of spontaneous thought, speech generation, and individual differences using naturalistic functional MRI data.

Identifiers

PMID42182146
PMCPMC13192805

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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.