Evidence map›Paper›PMID 41361037›Full record

ArticleNPP - digital psychiatry and neuroscience2025

Multimodal objective assessment of impulsivity in healthy and mood disorder participants.

Bishal Lamichhane, Nidal Moukaddam, Ramiro Salas, Wayne Goodman, Ashutosh Sabharwal

Abstract read
In one paragraph

Article in NPP - digital psychiatry and neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Bishal LamichhaneElectrical and Computer Engineering, Rice University, Houston, TX, USA. bishal.lamichhane@rice.edu.ORCID http://orcid.org/0000-0002-7935-122X
Nidal MoukaddamMenninger Department of Psychiatry, Baylor College of Medicine, Houston, TX, USA.
Ramiro SalasMenninger Department of Psychiatry, Baylor College of Medicine, Houston, TX, USA.
Wayne GoodmanMenninger Department of Psychiatry, Baylor College of Medicine, Houston, TX, USA.
Ashutosh SabharwalElectrical and Computer Engineering, Rice University, Houston, TX, USA.

Funding

CSRD VA I01 CX001937
6 · The paper itself

Abstract

Impulsivity represents an individual's tendency to act on urges without sufficient forethought. Heightened impulsivity is a hallmark of many mental health disorders. Objective impulsivity assessments could improve risk evaluation, diagnosis, and behavioral outcome monitoring in impulsivity-related health disorders. Towards objective impulsivity assessment, in this work, we identify impulsivity correlates in objective measurements, investigate their complementarity, and contrast impulsivity mechanisms across health conditions. We analyzed behavioral tests, heart rate variability (HRV), and fMRI-based brain connectivity in 227 healthy participants and 34 participants with mood disorders. Impulsivity dimensions had complementary correlates in objective measurements, with fMRI providing the strongest correlates. Multimodal assessment provided high r-squared (adjusted) values in modeling impulsivity of the mood disorder participants (e.g., r-squared of 0.73, p < 0.001 for attentional impulsivity) but low r-squared for healthy participants (the best r-squared being 0.17, p < 0.001 for sensation seeking impulsivity). The differing association between impulsivity dimensions across the two populations likely indicates a health condition-specific impulsivity mechanism across populations. The complementary nature of objective impulsivity correlates across populations demonstrates the distributed signature of multidimensional impulsivity, likely capturing the complexity of behavioral modeling.

Identifiers

PMID41361037
PMCPMC12624883

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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.