Evidence map›Paper›PMID 42141308›Full record

ArticleNature neuroscience2026

Parsing autism spectrum heterogeneity through fMRI.

Tatiana A Shnitko, Shih-Che Alex Lin, Yen-Yu Ian Shih

Abstract read
In one paragraph

Article in Nature neuroscience, 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

3 authors.

Tatiana A ShnitkoDepartment of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID http://orcid.org/0000-0002-7872-7408
Shih-Che Alex LinDepartment of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID http://orcid.org/0000-0001-5745-5194
Yen-Yu Ian ShihDepartment of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. shihy@unc.edu.ORCID http://orcid.org/0000-0001-6529-911X

Funding

UNC ARC Information/Dissemination CoreP60AA011605 · NIAAA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Clyde W Hodge · 2003 to 2026
$46.3M
Preclinical CoreP50HD103573 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GABRIEL S DICHTER · 2020 to 2026
$9.7M
UNC-CH NADIA Underage Drinking and Adult Brain Morphology in RatsU01AA020023 · NIAAA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CREWS, FULTON T · 2010 to 2024
$7.5M
MOLECULAR AND CELLULAR PATHOGENESIS IN ALCOHOLISMP50AA011605 · NIAAA · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI SAMULSKI, RICHARD J · 1998 to 2002
$4.9M
Circuit Mechanisms Governing the Default Mode NetworkR01MH126518 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Vinod Menon, Yen-Yu Ian Shih · 2021 to 2026
$4.3M
Mechanisms underlying positive and negative BOLD in the striatumRF1MH117053 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHIH, YEN-YU IAN · 2018 to 2019
$4.0M
Chemogenetic Dissection of Neuronal and Astrocytic Compartment of the BOLD SignalR01MH111429 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHIH, YEN-YU IAN · 2016 to 2020
$2.7M
SORDINO-fMRI for mouse brain applicationsR01EB033790 · NIBIB · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Yen-Yu Ian Shih · 2023 to 2026
$2.5M
Functional dissection of therapeutic deep brain stimulation circuitryR01NS091236 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHIH, YEN-YU IAN · 2015 to 2019
$2.0M
9.4T Small Animal MRI scanner at UNCS10OD026796 · OD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHIH, YEN-YU IAN · 2020 to 2020
$2.0M
Metal-free, genetically encoded reporters for calcium recording with MRIR01NS128278 · NINDS · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI Tod Edward Kippin, Arnab Mukherjee · 2023 to 2026
$1.9M
AVANCE NEO upgrade for the BioSpec 9.4T/30cm MRI system at UNCS10MH124745 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHIH, YEN-YU IAN · 2020 to 2020
$600k
NIAAA NIH HHS P50 AA011605NIAAA NIH HHS P60 AA011605NIAAA NIH HHS U01 AA020023NIA NIH HHS R21 AG083589NIBIB NIH HHS R01 EB033790NICHD NIH HHS P50 HD103573NIDA NIH HHS R21 DA057503NIH HHS S10 OD026796NIMH NIH HHS R01 MH111429NIMH NIH HHS R01 MH126518NIMH NIH HHS RF1 MH117053NIMH NIH HHS S10 MH124745NINDS NIH HHS R01 NS091236NINDS NIH HHS R01 NS128278NINDS NIH HHS R21 NS133913U.S. Department of Health & Human Services | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) P50HD103573U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB) R01EB033790U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH111429U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH126518U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) RF1MH117053U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) S10MH124745U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) R01NS091236U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) R21NS133913U.S. Department of Health & Human Services | NIH | National Institute on Alcohol Abuse and Alcoholism (NIAAA) P60AA01160U.S. Department of Health & Human Services | NIH | National Institute on Alcohol Abuse and Alcoholism (NIAAA) U01AA020023U.S. Department of Health & Human Services | NIH | National Institute on Drug Abuse (NIDA) R21DA057503U.S. Department of Health & Human Services | NIH | NIH Office of the Director (OD) S10OD026796
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID42141308
PMCPMC13383063

What OpenQuestion holds

Textmetadata
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Read underepoch 390

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.