Sex/gender differences in the human autistic brains: A systematic review of 20 years of neuroimaging research DOI Creative Commons

Kelly Mo,

Tara Sadoway, Sarah Bonato

et al.

NeuroImage Clinical, Journal Year: 2021, Volume and Issue: 32, P. 102811 - 102811

Published: Jan. 1, 2021

Our current understanding of autism is largely based on clinical experiences and research involving male individuals given the male-predominance in prevalence under-inclusion female due to small samples, co-occurring conditions, or simply being missed for diagnosis. There a significantly biased ‘male lens’ this field with autistic females insufficiently understood. We therefore conducted systematic review examine how sex gender modulate brain structure function individuals. Findings from past 20 years are yet converge specific regions/networks consistent sex/gender-modulating effects. Despite at least three well-powered studies identifying patterns significant sex/gender-modulation autism-control differences, many other likely underpowered, suggesting critical need future investigation into sex/gender-based heterogeneity better-powered designs. Future should also formally investigate effects gender, beyond biological sex, which mostly absent literature. Understanding roles development an imperative step extend field.

Language: Английский

Contrastive machine learning reveals the structure of neuroanatomical variation within autism DOI Open Access
Aidas Aglinskas, Joshua K. Hartshorne, Stefano Anzellotti

et al.

Science, Journal Year: 2022, Volume and Issue: 376(6597), P. 1070 - 1074

Published: June 2, 2022

Autism spectrum disorder (ASD) is highly heterogeneous. Identifying systematic individual differences in neuroanatomy could inform diagnosis and personalized interventions. The challenge that these are entangled with variation because of other causes: unrelated to ASD measurement artifacts. We used contrastive deep learning disentangle ASD-specific neuroanatomical from shared typical control participants. correlated symptoms. structure this also addresses a long-standing debate about the nature ASD: At least terms neuroanatomy, individuals do not cluster into distinct subtypes; instead, they organized along continuous dimensions affect sets regions.

Language: Английский

Citations

63
Structural, Functional, and Molecular Imaging of Autism Spectrum Disorder DOI
Xiaoyi Li, Kai Zhang, Xiao He

et al.

Neuroscience Bulletin, Journal Year: 2021, Volume and Issue: 37(7), P. 1051 - 1071

Published: March 29, 2021

Language: Английский

Citations

61
Mapping the Heterogeneous Brain Structural Phenotype of Autism Spectrum Disorder Using the Normative Model DOI Creative Commons

Xiaolong Shan,

Lucina Q. Uddin,

Jinming Xiao

et al.

Biological Psychiatry, Journal Year: 2022, Volume and Issue: 91(11), P. 967 - 976

Published: Jan. 31, 2022

Language: Английский

Citations

52
Multiscale neural gradients reflect transdiagnostic effects of major psychiatric conditions on cortical morphology DOI Creative Commons
Bo‐yong Park, Valeria Kebets, Sara Larivière

et al.

Communications Biology, Journal Year: 2022, Volume and Issue: 5(1)

Published: Sept. 27, 2022

It is increasingly recognized that multiple psychiatric conditions are underpinned by shared neural pathways, affecting similar brain systems. Here, we carried out a multiscale contextualization of alterations cortical morphology across six major (autism spectrum disorder, attention deficit/hyperactivity depression obsessive-compulsive bipolar and schizophrenia). Our framework cross-referenced morphological anomalies with respect to myeloarchitecture cytoarchitecture, as well connectome neurotransmitter organization. Pooling disease-related effects on MRI-based thickness measures ENIGMA working groups, including total 28,546 participants (12,876 patients 15,670 controls), identified cortex-wide dimension changes described sensory-fugal pattern, paralimbic regions showing the most consistent conditions. The disease was closely related gradients microstructure axes, specifically variations in serotonin dopamine. Multiple sensitivity analyses confirmed robustness slight analytical choices. findings embed common structure scales organization, may provide insights into mechanisms transdiagnostic vulnerability.

Language: Английский

Citations

41
Common and distinct cortical thickness alterations in youth with autism spectrum disorder and attention-deficit/hyperactivity disorder DOI Creative Commons
Wanfang You, Qian Li, Lizhou Chen

et al.

BMC Medicine, Journal Year: 2024, Volume and Issue: 22(1)

Published: March 4, 2024

Abstract Background Autism spectrum disorder (ASD) and attention-deficit/hyperactivity (ADHD) are neurodevelopmental disorders with overlapping behavioral features genetic etiology. While brain cortical thickness (CTh) alterations have been reported in ASD ADHD separately, the degree to which associated common distinct patterns of CTh changes is unclear. Methods We searched PubMed, Web Science, Embase, Science Direct from inception 8 December 2023 included studies comparing youth (age less than 18) or typically developing controls (TDC). conducted a comparative meta-analysis vertex-based identify ADHD. Results Twelve datasets involving 458 individuals 10 383 were analysis. Compared TDC, showed increased bilateral superior frontal gyrus, left middle temporal right parietal lobule (SPL) decreased temporoparietal junction (TPJ). precentral gyri, postcentral TPJ relative TDC. Conjunction analysis both shared reduced located default mode network (DMN). Comparative analyses indicated had greater SPL dorsal attention thinner ventral Conclusions These results suggest DMN an neurobiological feature This alteration together might be related altered biological motion processing ASD, while abnormalities sensorimotor systems may contribute control problems The disorder-specific disparate networks provides novel insight into symptoms attentional deficits two disorders. Trial registration PROSPERO CRD42022370620. Registered on November 9, 2022.

Language: Английский

Citations

13
Sex differences in trajectories of cortical development in autistic children from 2–13 years of age DOI Creative Commons
Derek Sayre Andrews, Kersten Diers, Joshua K. Lee

et al.

Molecular Psychiatry, Journal Year: 2024, Volume and Issue: 29(11), P. 3440 - 3451

Published: May 16, 2024

Abstract Previous studies have reported alterations in cortical thickness autism. However, few included enough autistic females to determine if there are sex specific differences structure This longitudinal study aimed investigate and trajectory of thinning across childhood. Participants 290 (88 females) 139 nonautistic (60 individuals assessed at up 4 timepoints spanning ~2–13 years age (918 total MRI timepoints). Estimates early late childhood as well the were modeled using spatiotemporal linear mixed effects models age-by-sex-by-diagnosis. Additionally, spatial correspondence between maps sex-by-diagnosis neurotypical evaluated. Relative their peers, had more extensive than males. These involved multiple functional networks, mainly characterized by thicker cortex ~3 faster females. Cortical regions which different sexes significantly overlapped with that differed development. Autistic males demonstrated some shared rate relative however these areas relatively small compared widespread observed sexes. results support evidence sex-specific neurobiology autism suggest processes regulate differentiation brain contribute etiology

Language: Английский

Citations

9
What is the best brain state to predict autistic traits? DOI Creative Commons
Corey Horien, Francesca Mandino, Abigail S. Greene

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 17, 2025

Abstract Autism is a heterogeneous condition, and functional magnetic resonance imaging-based studies have advanced understanding of neurobiological correlates autistic features. Nevertheless, little work has focused on the optimal brain states to reveal brain-phenotype relationships. In addition, there need better understand relevance attentional abilities in mediating Using connectome-based predictive modelling, we interrogate three datasets determine scanning conditions that can boost prediction clinically relevant phenotypes assess generalizability. dataset one, sample youth with autism neurotypical participants, find sustained attention task (the gradual onset continuous performance task) results high traits compared free-viewing social resting-state condition. two, observe network model generated from generalizes predict measures adults. three, show same one further responsiveness data Brain Imaging Data Exchange. sum, our suggest an in-scanner challenge help delineate robust markers support continued investigation under which psychiatric conditions.

Language: Английский

Citations

1
Cortical Thickness Differences in Autistic Children With and Without Intellectual Disability DOI Creative Commons
Derek Sayre Andrews, Andrew Dakopolos, Joshua K. Lee

et al.

Autism Research, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 30, 2025

Of the 1 in 36 individuals United States who are diagnosed with autism spectrum disorder, nearly 40% also have intellectual disability (ID). The cortex has been widely implicated neural processes underlying autistic behaviors as well ability. Thus, neuroimaging features such cortical thickness of particular interest a possible biomarkers condition. However, studies often fail to include ID. As result, there few across entire range abilities. This study used MRI evaluate young children (n = 88, mean age 5.37 years) large ability (IQ 19-133) nonautistic, nondevelopmentally delayed (referred here typically developing [TD]) peers 53, 5.29 years). We first investigated associations between full scale IQ and both TD children. Autistic had significant negative (i.e., thinner cortex, higher IQ) bilateral entorhinal right fusiform gyrus, superior, middle inferior temporal gyri, pole that were not present Significantly thicker was observed these regions for ID ≤ 70) compared those without. Last, given reported correspondence severity symptoms ability, we ADOS Calibrated Severity Scores found patterns overlapped degree cortex.

Language: Английский

Citations

1
Exploring morphological and microstructural signatures across the Alzheimer's spectrum and risk factors DOI
Aurélie Bussy, Raihaan Patel, Olivier Parent

et al.

Neurobiology of Aging, Journal Year: 2025, Volume and Issue: 149, P. 1 - 18

Published: Feb. 7, 2025

Language: Английский

Citations

1
Polygenic scores for autism are associated with reduced neurite density in adults and children from the general population DOI Creative Commons
Yuanjun Gu, Eva-Maria Stauffer, Saashi A. Bedford

et al.

Molecular Psychiatry, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 24, 2025

Abstract Genetic variants linked to autism are thought change cognition and behaviour by altering the structure function of brain. Although a substantial body literature has identified structural brain differences in autism, it is unknown whether autism-associated common genetic changes cortical macro- micro-structure. We investigated this using neuroimaging data from adults (UK Biobank, N = 31,748) children (ABCD, 4928). Using polygenic scores correlations we observe robust negative association between for magnetic resonance imaging derived phenotype neurite density (intracellular volume fraction) general population. This result consistent across both adults, cortex white matter tracts, confirmed correlations. There were no sex association. Mendelian randomisation analyses provide evidence causal relationship intracellular fraction, although should be revisited better powered instruments. Overall, study provides shared variant genetics density.

Language: Английский

Citations

1