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Related Concept Videos

Autism Spectrum Disorder01:19

Autism Spectrum Disorder

338
Autism spectrum disorder (ASD) is a neurodevelopmental condition marked by persistent deficits in social communication and interaction alongside restrictive and repetitive behaviors or interests. ASD is sometimes accompanied by intellectual impairment.
These core symptoms manifest differently among individuals, ranging from mild to severe. The disorder's complexity extends beyond its clinical presentation, encompassing a diverse range of biological, cognitive, and sociocultural influences.
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Modeling in Therapy01:26

Modeling in Therapy

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Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
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Theoretical Approaches to Psychological Disorder01:29

Theoretical Approaches to Psychological Disorder

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The development of psychological disorders, which are characterized by deviant, maladaptive, and personally distressing behaviors, has been explored through several theoretical approaches.
Biological approach
The biological approach posits that internal, organic factors are the primary causes of such disorders. This perspective emphasizes brain structure and function, genetic predispositions, and neurotransmitter imbalances. For example, schizophrenia has been associated with both genetic...
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Biological Causes of Schizophrenia

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Schizophrenia, a severe psychiatric disorder, arises from a complex interplay of biological factors, including genetic predisposition, structural brain abnormalities, neurotransmitter dysregulation, and developmental irregularities. These factors collectively contribute to the onset and progression of the disorder, which typically manifests in late adolescence or early adulthood.
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Related Experiment Video

Updated: Sep 13, 2025

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
12:21

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The Autism Spectrum Disorder Subtypes Identification Based on Features of Structural and Functional Coupling.

Jianping Qiao1, Hang Yan2, Zhishun Wang3

  • 1School of Physics and Electronics, Shandong Normal University, Jinan, China. jpqiao@sdu.edu.cn.

Journal of Autism and Developmental Disorders
|July 29, 2025
PubMed
Summary

This study identified two distinct autism spectrum disorder (ASD) neurosubtypes using combined brain imaging data. These subtypes show unique biomarkers, improving diagnostic accuracy and paving the way for personalized autism treatments.

Keywords:
ASDClusterCouplingDTISubtypefMRI

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Area of Science:

  • Neuroscience
  • Genetics
  • Medical Imaging

Background:

  • Autism spectrum disorder (ASD) presents significant clinical and biological heterogeneity.
  • Identifying distinct ASD subtypes is crucial for understanding neurobiology and developing personalized treatments.
  • Current approaches often overlook multi-modal imaging data interactions.

Purpose of the Study:

  • To develop a novel approach combining structural and functional neuroimaging data for ASD subtype identification.
  • To reveal quantitative biomarkers and elucidate the biological basis of ASD subgroups.
  • To potentially improve ASD diagnosis and guide targeted interventions.

Main Methods:

  • Utilized Diffusion Tensor Imaging (DTI) and functional Magnetic Resonance Imaging (fMRI) data from the ABIDE database.
  • Integrated structural and functional MRI data using skeleton-based white matter (WM) functional analysis.
  • Employed WM low-frequency oscillations (LFOs) for clustering individuals with ASD into distinct neurological subgroups.

Main Results:

  • Identified two distinct ASD neurosubtypes based on WM functional connectivity and diffusion metrics.
  • Subtype 1 showed reduced fractional anisotropy (FA) in the posterior cingulate cortex (PCC).
  • Subtype 2 exhibited reduced FA and higher mean diffusivity (MD) in the anterior cingulate cortex, middle temporal gyrus, parahippocampus, and thalamus, with lower IQ scores.

Conclusions:

  • The study successfully identified two distinct ASD neurosubtypes, highlighting the disorder's heterogeneity.
  • Unique biomarkers associated with each subgroup offer potential neurological signatures for individuals with autism.
  • This differentiation enhances understanding of ASD and supports personalized therapeutic strategies and early interventions.