Evidence map›Paper›PMID 42538951›Full record

ArticlebioRxiv : the preprint server for biology2026

Estimating trial-wise modulation of functional connectivity using event-related fMRI.

Kai Hwang, Shannon E Stokes, Stephanie C Leach, Jiefeng Jiang

Abstract readPreprint
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

4 authors.

Kai HwangDepartment of Psychological and Brain Sciences, The University of Iowa, Iowa City, IA.
Shannon E StokesDepartment of Psychological and Brain Sciences, The University of Iowa, Iowa City, IA.
Stephanie C LeachDepartment of Psychological and Brain Sciences, The University of Iowa, Iowa City, IA.
Jiefeng JiangDepartment of Psychological and Brain Sciences, The University of Iowa, Iowa City, IA.

Funding

Cognitive Control Functions of the Human ThalamusR01MH122613 · NIMH · UNIVERSITY OF IOWA · PI HWANG, KAI · 2020 to 2024
$2.2M
University of Iowa - Research 3T MRI Connectome UpgradeS10OD025025 · OD · UNIVERSITY OF IOWA · PI MAGNOTTA, VINCENT A · 2018 to 2018
$1.9M
Investigating mediodorsal thalamus representations underlying human cognitive flexibilityR01MH140248 · NIMH · UNIVERSITY OF IOWA · PI Michael M Halassa, Kai Hwang · 2025 to 2026
$1.4M
NIH HHS S10 OD025025NIMH NIH HHS R01 MH122613NIMH NIH HHS R01 MH140248
6 · The paper itself

Abstract

Understanding the neural basis of human cognition requires measuring not only localized brain activity but also how functional interactions between brain regions change in response to different cognitive demands. Event-related fMRI is an efficient design for linking trial-wise behavioral and computational variables to brain activity, but comparable methods for examining their effects on functional connectivity remain limited. Here, we develop beta-PPI (beta-series psychophysiological interaction), a method that leverages single-trial response estimates from even-related fMRI to quantify how trial-wise variables modulate functional connectivity. This task-based functional connectivity method provides a flexible approach for studying functional connectivity for event-related fMRI designs. We evaluated beta-PPI using comprehensive simulations across several experimental conditions and signal qualities. Beta-PPI can sensitively detect ground-truth effects and exhibited good parameter recovery. Compared with generalized psychophysiological interaction, beta-PPI achieved comparable performance across most conditions while demonstrating improved statistical power under lower signal-to-noise conditions. We further validated beta-PPI using empirical event-related fMRI data. Distinct trial-wise cognitive variables selectively modulated functional connectivity during their corresponding trial epochs, demonstrating the temporal specificity and flexibility of the approach. By testing how trial-wise variables modulate functional connectivity, beta-PPI extends task-based connectivity analysis to model-based fMRI and provides a common single-trial framework that could facilitate the integration of connectivity, activation, and representational analyses in event-related Fmri.

Identifiers

PMID42538951
PMCPMC13419401

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.