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Updated: May 27, 2025

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
Published on: September 12, 2011
Dynamic and static brain functional abnormalities in autism patients at different developmental stages
Haonan Li1, Mingxing Han2, Shaoting Tang1
1School of Medical Imaging, Binzhou Medical University, Yantai.
This study reveals altered brain activity in autism spectrum disorder (ASD) across development using resting-state functional MRI. Findings highlight specific brain region differences and their correlation with autism severity.
Area of Science:
- Neuroscience
- Developmental Psychology
- Radiology
Background:
- Autism spectrum disorder (ASD) research often overlooks the full developmental trajectory.
- Understanding neurobiological mechanisms across lifespan is crucial for effective interventions.
Purpose of the Study:
- Investigate age-related alterations in brain function in individuals with ASD.
- Utilize resting-state functional MRI (rs-fMRI) to examine brain activity across childhood, adolescence, and adulthood.
Main Methods:
- rs-fMRI data from 173 ASD and 178 typical development (TD) individuals were analyzed.
- Local brain activity was characterized using amplitude of low-frequency fluctuations (ALFFs) and regional homogeneity (ReHo), including dynamic measures (dALFF, dReHo).
- Pearson correlation assessed relationships between Autism Diagnostic Observation Schedule scores and brain activity measures.
Main Results:
- Abnormal ALFF values were observed in the medial/lateral orbitofrontal gyrus and right insula in individuals with ASD compared to TD.
- Adults with ASD showed increased dynamic ReHo in the posterior lateral frontal lobe compared to adolescents with ASD.
- Changes in ALFF correlated with autism symptom severity.
Conclusions:
- This study identified distinct patterns of brain activity alterations in ASD across different developmental stages.
- Findings suggest specific neurobiological mechanisms contributing to ASD development and severity.
- Results provide insights into age-related changes in brain function in ASD.
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