Evidence map›Paper›PMID 40887620›Full record

ArticleMolecular autism2025

Subcortical brain volume variations in autistic individuals across the lifespan.

Danielle Christensen, Young Seon Shin, Jingying Wang, Carolina R Cuomo, Tyler Dentry, Hanna M Gemmell, Stormi L Pulver, Ann-Marie Orlando, Walker S McKinney, Cassie J Stevens and 5 more

Abstract read
In one paragraph

Article in Molecular autism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Atypical Visually Guided Precision Grip Control in Middle-Aged and Older Autistic Adults.Autism research : official journal of the International Society for Autism Research · 2026
    Article
  7. Review
  8. Review
  9. Elucidation of Brain Morphogenesis Using Quantitative Brain Magnetic Resonance Imaging in Children.Pediatrics international : official journal of the Japan Pediatric Society
    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

15 authors.

Danielle ChristensenNeurocognitive and Behavioral Development Laboratory, University of Florida, 1864 Stadium Road, 146 FLGym, PO Box 118205, Gainesville, FL, 32611-8205, USA.
Young Seon ShinDepartment of Applied Physiology and Kinesiology, College of Health and Human Performance, University of Florida, 1864 Stadium Road, 146 FLGym, PO Box 118205, Gainesville, FL, 32611-8205, USA.
Jingying WangNeurocognitive and Behavioral Development Laboratory, University of Florida, 1864 Stadium Road, 146 FLGym, PO Box 118205, Gainesville, FL, 32611-8205, USA.
Carolina R CuomoNeurocognitive and Behavioral Development Laboratory, University of Florida, 1864 Stadium Road, 146 FLGym, PO Box 118205, Gainesville, FL, 32611-8205, USA.
Tyler DentryDepartment of Applied Physiology and Kinesiology, College of Health and Human Performance, University of Florida, 1864 Stadium Road, 146 FLGym, PO Box 118205, Gainesville, FL, 32611-8205, USA.
Hanna M GemmellNeurocognitive and Behavioral Development Laboratory, University of Florida, 1864 Stadium Road, 146 FLGym, PO Box 118205, Gainesville, FL, 32611-8205, USA.
Stormi L PulverDepartment of Pediatrics, Emory School of Medicine, Atlanta, GA, USA.
Ann-Marie OrlandoCenter for Autism and Related Disabilities (CARD), University of Florida, Gainesville, FL, USA.
Walker S McKinneyLife Span Institute, Dole Human Development Center, University of Kansas, 1000 Sunnyside Ave. RM. 2018, Lawrence, KS, 66045, USA.
Cassie J StevensLife Span Institute, Dole Human Development Center, University of Kansas, 1000 Sunnyside Ave. RM. 2018, Lawrence, KS, 66045, USA.
Kathryn E UnruhLife Span Institute, Dole Human Development Center, University of Kansas, 1000 Sunnyside Ave. RM. 2018, Lawrence, KS, 66045, USA.
Bikram KarmakarDepartment of Statistics, College of Liberal Arts and Sciences, University of Florida, Gainesville, FL, USA.
Stephen A CoombesDepartment of Applied Physiology and Kinesiology, College of Health and Human Performance, University of Florida, 1864 Stadium Road, 146 FLGym, PO Box 118205, Gainesville, FL, 32611-8205, USA.
Matthew W MosconiLife Span Institute, Dole Human Development Center, University of Kansas, 1000 Sunnyside Ave. RM. 2018, Lawrence, KS, 66045, USA. mosconi@ku.edu.
Zheng WangNeurocognitive and Behavioral Development Laboratory, University of Florida, 1864 Stadium Road, 146 FLGym, PO Box 118205, Gainesville, FL, 32611-8205, USA. zheng.wang@ufl.edu.

Funding

Using PCORnet to Expand the DS-CONNECT Cohort Through Healthcare System Recruitment, Incorporating Electronic Health Records, and Assessing Self-DeterminationU54HD090216 · NICHD · UNIVERSITY OF KANSAS LAWRENCE · PI COLOMBO, JOHN A. · 2016 to 2020
$6.2M
Motor abnormalities and functional brain mechanisms in autism spectrum disorderR01MH112734 · NIMH · UNIVERSITY OF KANSAS LAWRENCE · PI MOSCONI, MATTHEW W · 2017 to 2021
$2.3M
Quantification of the neurocognitive, brain, and blood markers of dementia in middle-aged autistic adultsR01AG086493 · NIA · UNIVERSITY OF FLORIDA · PI Zheng Wang · 2024 to 2026
$2.0M
Advanced 3T for Structural and Functional Imaging at University of FloridaS10OD021726 · OD · UNIVERSITY OF FLORIDA · PI LONG, JOANNA R · 2017 to 2017
$2.0M
Cerebellar and Basal Ganglia Markers Underlie Neuromotor Impairments in Adults with Autism Spectrum Disorder (ASD)R01NS121120 · NINDS · UNIVERSITY OF FLORIDA · PI WANG, ZHENG · 2021 to 2025
$1.9M
Cerebellar and basal ganglia contributions to neuromotor decline in adults with autism spectrum disorder (ASD)R21AG065621 · NIA · UNIVERSITY OF FLORIDA · PI WANG, ZHENG · 2020 to 2020
$229k
National Institute of Child Health and Development U54HD090216NIA NIH HHS R01 AG086493NIA NIH HHS R21080923NIA NIH HHS R21 AG065621NIA NIH HHS R21AG 065621NICHD NIH HHS U54 HD090216NIH HHS S10 OD021726NIMH NIH HHS R01112734NIMH NIH HHS R01 MH112734NINDS NIH HHS R01 NS121120NINDS NIH HHS R01NS121120NINDS NIH HHS R01NS125737
6 · The paper itself

Abstract

backgroundStructural alterations in subcortical brain regions-including the amygdala, hippocampus, basal ganglia, and cerebral ventricles-have been linked to various clinical features of autism spectrum disorder (ASD). However, volumetric features among these regions in autistic individuals across the lifespan remain poorly understood. This cross-sectional study aimed to investigate age-associated volumetric deviations in these clinically implicated subcortical regions of autistic individuals and neurotypical controls, and to examine the structural interrelationships within each group.

methodsWe examined multi-site T1-weighted MRI data from 119 autistic and 122 neurotypical participants aged 7-73 years. Volumetric data for the amygdala, hippocampus, basal ganglia, and cerebral ventricles were harmonized across sites using the ComBat algorithm. Following this, volumetric composite indices (principal component scores) were extracted for each region using principal component analysis. These scores represent dominant volumetric patterns of each subcortical region, with higher values reflecting greater volume. These composite scores were then compared between groups and with increasing age.

resultsAutistic participants exhibited greater amygdala volume in early life, followed by more pronounced age-associated reductions in adulthood compared to neurotypical controls. A similar trend was observed for the hippocampus, with early volumetric enlargement giving way to steeper declines in later years. In contrast, the autistic group consistently trended towards larger basal ganglia across the lifespan. Additionally, autistic participants showed accelerated enlargement in the cerebral ventricles with increasing age. Both groups exhibited patterns of inverse volumetric associations between the cerebral ventricles and surrounding subcortical regions in later adulthood; however, these relationships were more pronounced and widely distributed in the autistic group. LIMITATIONS: The cross-sectional design of this study limited us from capturing intra-individual differences at baseline and quantifying the lifespan trajectories of each participant. Site-related sampling differences may have introduced cohort bias in the results.

conclusionsAutistic participants and neurotypical controls exhibit distinct, age-related volumetric patterns across key subcortical brain regions. Enlargement of the cerebral ventricles and their inverse structural relationships with neighboring structures in later life may indicate atrophic processes beginning in middle adulthood in ASD. These findings highlight the need to further investigate mechanisms of atypical brain aging in ASD and consider these subcortical brain regions as potential biomarkers of neurodegeneration and intervention targets across the adult lifespan.

Indexed as

Autism Spectrum DisorderAutistic DisorderBrainLongevityAdolescentAdultAgedAmygdalaBasal GangliaChildCross-Sectional StudiesFemaleHippocampusHumansMagnetic Resonance ImagingMaleAgingAmygdalaAutism spectrum disorderBasal gangliaBrain atrophyCerebral ventriclesHippocampusLifespanMRI

Identifiers

PMID40887620
PMCPMC12400685

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.