Evidence map›Paper›PMID 42193581›Full record

ArticleBehavioral sciences (Basel, Switzerland)2026

Remote Sensory-Cognitive Assessment in Children with Autism: Evaluating Feasibility and Performance Outcomes.

Peige Wang, Lakshmi Kannan, Ellie Hodge, Jennie Marie Sanchez-Singh, Audrey Anna Carrillo, Sophia Milla, Katherine Meltzoff, Aaron R Seitz

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 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

8 authors.

Peige WangInstitution for Cognitive and Brain Health, Department of Psychology, Northeastern University, 360 Huntington Ave, Boston, MA 02115, USA.ORCID 0009-0007-2891-6976
Lakshmi KannanInstitution for Cognitive and Brain Health, Department of Psychology, Northeastern University, 360 Huntington Ave, Boston, MA 02115, USA.
Ellie HodgeSocial Cognitive Developmental Neuroscience Lab, School of Education, University of California, 900 University Ave, Riverside, CA 92521, USA.
Jennie Marie Sanchez-SinghBrain Game Center for Mental Fitness and Well-Being, Northeastern University, 1201 University Avenue #204, Riverside, CA 92521, USA.
Audrey Anna CarrilloBrain Game Center for Mental Fitness and Well-Being, Northeastern University, 1201 University Avenue #204, Riverside, CA 92521, USA.
Sophia MillaInstitution for Cognitive and Brain Health, Department of Psychology, Northeastern University, 360 Huntington Ave, Boston, MA 02115, USA.
Katherine MeltzoffSocial Cognitive Developmental Neuroscience Lab, School of Education, University of California, 900 University Ave, Riverside, CA 92521, USA.
Aaron R SeitzInstitution for Cognitive and Brain Health, Department of Psychology, Northeastern University, 360 Huntington Ave, Boston, MA 02115, USA.ORCID 0000-0003-4936-9303

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study evaluated the feasibility of remotely administered, multi-session digital sensory-cognitive assessments in children with autism spectrum disorder (ASD). Remote assessment in ASD presents challenges, including sustaining engagement across sessions, ensuring task comprehension, and maintaining data quality in home environments. Accordingly, this study quantified feasibility through task engagement and data integrity across a multi-domain assessment battery. A total of 121 children with ASD aged 8-16 years participated. The assessment battery was administered across three remote sessions targeting emotion discrimination, visual and cognitive processing, and auditory processing. Feasibility was evaluated using a structured data-quality coding system integrating trial-level performance with qualitative observations of engagement and data integrity. Across 11 behavioral tasks, an average of 85% of participants produced usable data. Exclusions occurred across most tasks but were broadly distributed, with no single task showing disproportionately elevated failure rates. Among participants with usable data, performance distributions fell within expected ranges. These findings indicate that remote sensory-cognitive assessment is feasible in children with ASD, supporting the scalability of multi-domain digital assessments and providing a foundation for larger studies investigating individual variability across perceptual and cognitive domains.

Indexed as

autism spectrum disorderdata qualityremote assessmentsensory processing

Identifiers

PMID42193581
PMCPMC13203828

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LicenceCC BY
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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.