Evidence map›Paper›PMID 41292849›Full record

ArticlebioRxiv : the preprint server for biology2025

Timing Is Everything: Temporal Dynamics of BOLD Responses to Naturalistic Features in Movie Watching.

Xin Di, George B Hanna, Bharat B Biswal

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 · Who and what money

Authors and funding

3 authors.

Xin DiDepartment of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, 07102, USA.ORCID 0000-0002-2422-9016
George B HannaDepartment of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, 07102, USA.
Bharat B BiswalDepartment of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, 07102, USA.

Funding

Functional Connectivity and Baseline Networks of the White Matter Brain: Development and Dissemination of Algorithms and ToolsR01MH131335 · NIMH · NEW JERSEY INSTITUTE OF TECHNOLOGY · PI BISWAL, BHARAT BHUSAN · 2022 to 2025
$2.1M
Functional Networks of White Matter in Alzheimer's Disease and their Associations with Cognitive DeclineR01AG085665 · NIA · NEW JERSEY INSTITUTE OF TECHNOLOGY · PI Bharat Bhusan Biswal · 2024 to 2026
$1.8M
Functional brain developments during movie watching and resting-state in autism spectrum disorderR15MH125332 · NIMH · NEW JERSEY INSTITUTE OF TECHNOLOGY · PI DI, XIN · 2021 to 2021
$305k
NIA NIH HHS R01 AG085665NIMH NIH HHS R01 MH131335NIMH NIH HHS R15 MH125332
6 · The paper itself

Abstract

Naturalistic stimuli, such as movies and narratives, are increasingly used in cognitive neuroscience to map cognitive and affective processes onto brain activity measured with functional MRI (fMRI). Features extracted from movies span multiple levels, from computational descriptions of visual and auditory input to physiological signals and subjective ratings. However, the temporal alignment between these features and the blood-oxygen-level-dependent (BOLD) response can vary considerably, and the commonly used canonical hemodynamic response function (HRF) with temporal derivatives may not adequately capture these delays. In this study, we analyzed three movie-watching datasets and examined a range of features, including visual luminance and contrast, auditory pitch, a physiological measure of pupil size, and subjective ratings of theory of mind. We performed cross-correlation analyses between feature time series and fMRI responses across the whole brain. Our results show that the canonical HRF captures sensory features well but misaligns with slower signals such as pupil size and subjective ratings. Notably, raw pupil size and subjective ratings exhibited stronger correspondence with delayed hemodynamic responses. Lastly, we showed that video data can be used as continuous input to measure hemodynamic response functions across brain regions. These findings highlight the critical role of temporal alignment in mapping naturalistic features to brain activity. Accounting for feature-specific delays may improve the interpretability and accuracy of fMRI studies using complex, real-world stimuli.

Indexed as

Blood-oxygen-level dependentDeconvolutionNaturalistic stimuliSubjective ratingSystem response functionTiming

Identifiers

PMID41292849
PMCPMC12642625

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.