Decoding Autism Through Neuroimaging: How Alterations in Brain Connectivity Shape Symptoms

March 24, 2025

Decoding Autism Through Neuroimaging: How Alterations in Brain Connectivity Shape Symptoms

Researchers found that children with autism have altered brain pathways, aiding future diagnostics and treatment development

Despite decades of research, the structural and functional brain abnormalities in children with autism spectrum disorder (ASD) remain unclear. Now, researchers from Japan have used advanced neuroimaging to identify white matter differences linked to autism symptoms. Alterations in the left hemisphere were associated with repetitive behaviors and communication difficulties. These findings could lead to ×ãÇò±È·Ö_ÀºÇò±È·Ö-²¨µ¨|Ö±²¥ objective diagnostic tools and potential therapeutic strategies, improving early detection and intervention for children with ASD.

Autism spectrum disorder (ASD) is a growing global concern, affecting approximately 2.8% of children in the United States and 0.7% in China. ASD is characterized by challenges in social interaction, communication difficulties, and repetitive behaviors, making early diagnosis critical for improving outcomes. However, current diagnostic methods rely primarily on behavioral observations, which may delay early interventions. Despite ongoing research, the structural and functional brain differences between children with ASD and typically developing (TD) children remain poorly understood.

Now, in a recent study published in NeuroImage and made available online on February 28, 2025, researchers from Japan have investigated the link between white matter fiber tracts and brain functional connectivity in young children with ASD. The study was led by Professor Akemi Tomoda from the University of Fukui, Japan, with co-authors Jia Wang and Lijie Wu from the Public Health College of Harbin Medical University, along with Natasha Y.S. Kawata and Takashi X. Fujisawa from the University of Fukui.

The study examined 34 children with ASD and 43 TD children using magnetic resonance imaging (MRI) to analyze white matter tracts¡ªbundles of nerve fibers that link different brain areas¡ªand measure functional connectivity between these regions. The team employed a novel approach called the population-based bundle-to-region connectome to gain a ×ãÇò±È·Ö_ÀºÇò±È·Ö-²¨µ¨|Ö±²¥ detailed understanding of the connections.

The findings revealed significant differences in brain connectivity between the two groups, particularly in the left hemisphere. Children with ASD exhibited altered connectivity patterns and differences in the density and organization of neural pathways. These findings suggest impaired integrity and potential developmental delays in the formation of critical brain networks. Notably, the researchers identified specific white matter tracts linked to core ASD symptoms, providing new insights into how these structural differences relate to behavior.

Most importantly, this approach found that these connectivity differences were associated with specific ASD symptoms. ¡°We observed that superior longitudinal fasciculus was associated with repetitive behaviors, whereas cingulum connectivity correlated ×ãÇò±È·Ö_ÀºÇò±È·Ö-²¨µ¨|Ö±²¥ with communication abilities,¡± explains Prof. Tomoda, ¡°These findings highlight the potential of multi-modal imaging in identifying ASD-related brain changes, helping to refine diagnostic criteria and guide the development of targeted interventions.¡±

Identifying these structural and functional connectivity patterns could pave the way for ×ãÇò±È·Ö_ÀºÇò±È·Ö-²¨µ¨|Ö±²¥ objective diagnostic tools. As Prof. Tomoda explains, ¡°For instance, MRI-based biomarkers, such as changes in fractional anisotropy or mean diffusivity in the superior longitudinal fasciculus or cingulum, could help in earlier and ×ãÇò±È·Ö_ÀºÇò±È·Ö-²¨µ¨|Ö±²¥ precise ASD diagnosis.¡±

Moreover, the implications of this study are not limited to early diagnosis and also extend towards new treatments. ¡°Our results could inform the design of personalized interventions,¡± adds Prof. Tomoda. ¡°Therapeutic approaches, such as neurofeedback or brain stimulation techniques, could be tailored to improve connectivity in specific white matter tracts, potentially addressing repetitive behaviors or enhancing communication abilities in children with ASD as needed.¡±

Overall, this study underscores the importance of multi-modal imaging approaches like MRI in capturing the complex brain alterations associated with ASD. Future work in this field could open new pathways for improving diagnostic accuracy, tailoring interventions, and ultimately enhancing the quality of life for individuals with ASD and their families.

Comparison of various brain connectivity parameters between children with and without autism spectrum disorder

Reference
Title of original paper:White-Matter Fiber Tract and Resting-State Functional Connectivity Abnormalities in Young Children with Autism Spectrum Disorder
Journal:NeuroImage
DOI:10.1016/j.neuroimage.2025.121109

About University of Fukui, Japan
The University of Fukui is a preeminent research institution with robust undergraduate and graduate schools focusing on education, medical and science, engineering, and global and community studies. The university conducts cutting-edge research and strives to nurture human resources capable of contributing to society on the local, national, and global levels.

Website: /eng/

About Professor Akemi Tomoda from the University of Fukui, Japan
Akemi Tomoda is Professor and Director of the Research Center for Child Mental Development, the University of Fukui, Japan. She obtained her M.D. and Ph.D. degrees from Kumamoto University in 1987 and 1998, respectively. She specializes in child neurology and psychiatry, pediatrics, and embryonic medicine. She also serves as the Chief of the Department of Child and Adolescent Psychological Medicine at the University of Fukui Hospital. She received the Commendation for Science and Technology from the Minister of Education, Culture, Sports, Science and Technology in 2020, and has over 300 publications to her name.

Funding information
This study was funded by the scientific research project of Heilongjiang provincial scientific research institutes (CZKYF2023-1-A010), Heilongjiang Natural Science Foundation (LH2022H051), Natural Science Foundation of China (81874270), JSPS KAKENHI Challenging Exploratory Research (Houga) (21K18499 to AT), JSPS KAKENHI Scientific Research (A) (JP22H00492 to AT), Early-Career Scientists (22K13677 to NYSK), and a research grant from the Strategic Budget to Realize University Missions (AT).

Media contact:
Naoki Tsukamoto
University of Fukui PR center
sskoho-k¡ùad.u-fukui.ac.jp

Please change ¡ùto£À.