Evidence map›Paper›PMID 39703730›Full record

ArticleStatistics in biosciences2024

Constrained Multivariate Functional Principal Components Analysis for Novel Outcomes in Eye-Tracking Experiments.

Brian Kwan, Catherine A Sugar, Qi Qian, Frederick Shic, Adam Naples, Scott P Johnson, Sara J Webb, Shafali Jeste, Susan Faja, April R Levin and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Statistics in biosciences, 2024. 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

13 authors.

Brian KwanDepartment of Biostatistics, University of California, Los Angeles, Los Angeles, CA, USA.
Catherine A SugarDepartment of Biostatistics, University of California, Los Angeles, Los Angeles, CA, USA.
Qi QianDepartment of Biostatistics, University of California, Los Angeles, Los Angeles, CA, USA.
Frederick ShicCenter for Child Health, Behavior and Development, Seattle Children's Research Institute, Seattle, WA, USA.
Adam NaplesChild Study Center, School of Medicine, Yale University, New Haven, CT, USA.
Scott P JohnsonDepartment of Psychology, University of California, Los Angeles, Los Angeles, CA, USA.
Sara J WebbCenter for Child Health, Behavior and Development, Seattle Children's Research Institute, Seattle, WA, USA.
Shafali JesteChildren's Hospital Los Angeles, Keck School of Medicine, University of South California, Los Angeles, CA, USA.
Susan FajaLaboratory of Cognitive Neuroscience, Division of Developmental Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
April R LevinDepartment of Neurology, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA.
Geraldine DawsonDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA.
James C McPartlandChild Study Center, School of Medicine, Yale University, New Haven, CT, USA.
Damla ŞentürkDepartment of Biostatistics, University of California, Los Angeles, Los Angeles, CA, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
The Autism Biomarkers Consortium for Clinical TrialsU19MH108206 · NIMH · YALE UNIVERSITY · PI MCPARTLAND, JAMES CHARLES · 2015 to 2024
$68.8M
Genetic Analysis and Manipulation Core (GAEC)P50HD105351 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI SCOTT Loren POMEROY, MUSTAFA SAHIN · 2021 to 2026
$9.4M
Functional Data Analysis for High-Dimensional Biobehavioral DataR01MH122428 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SENTURK, DAMLA, TELESCA, DONATELLO · 2020 to 2024
$1.8M
NCATS NIH HHS UL1 TR001863NICHD NIH HHS P50 HD105351NIMH NIH HHS R01 MH122428NIMH NIH HHS U19 MH108206
6 · The paper itself

Abstract

Individuals with autism spectrum disorder (ASD) tend to experience greater difficulties with social communication and sensory information processing. Of particular interest in ASD biomarker research is the study of visual attention, effectively quantified in eye tracking (ET) experiments. Eye tracking offers a powerful, safe, and feasible platform for gaining insights into attentional processes by measuring moment-by-moment gaze patterns in response to stimuli. Even though recording is done with millisecond granularity, analyses commonly collapse data across trials into variables such as proportion time spent looking at a region of interest (ROI). In addition, looking times in different ROIs are typically analyzed separately. We propose a novel multivariate functional outcome that carries proportion looking time information from multiple regions of interest jointly as a function of trial type, along with a novel constrained multivariate functional principal components analysis procedure to capture the variation in this outcome. The method incorporates the natural constraint that the proportion looking times from the multiple regions of interest must sum up to one. Our approach is motivated by the Activity Monitoring task, a social-attentional assay within the ET battery of the Autism Biomarkers Consortium for Clinical Trials (ABC-CT). Application of our methods to the ABC-CT data yields new insights into dominant modes of variation of proportion looking times from multiple regions of interest for school-age children with ASD and their typically developing (TD) peers, as well as richer analysis of diagnostic group differences in social attention.

Indexed as

Autism spectrum disorderEye trackingFunctional data analysisFunctional principal components analysisMultivariate functional principal component analysis

Identifiers

PMID39703730
PMCPMC11658557

What OpenQuestion holds

Textmetadata
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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.