A Landmark Study Links Shared Brain Abnormalities Across Major Psychiatric Disorders
A major new study published in Research on 4 February 2026 sheds light on the overlapping biological roots of autism spectrum disorder (ASD), attention-deficit/hyperactivity disorder (ADHD), and schizophrenia.
Led by Professor Fengchun Wu (Department of Psychiatry, The Affiliated Brain Hospital, Guangzhou Medical University) and Professor Kai Wu (School of Biomedical Sciences and Engineering, South China University of Technology), the research analyzed resting-state fMRI data from 2,176 participants, including individuals with ASD, ADHD, schizophrenia, and healthy controls.
🔬 Key Findings
Using a sophisticated method called heterogeneous matrix factorization, the researchers extracted shared brain activity patterns across individuals to construct functional connectivity networks.
-
A Shared Abnormal Pattern: The team identified a common disruption in connectivity linking deep regulatory systems (the cerebellum and subcortical networks) with higher-order cortical regions responsible for perception, attention, and decision-making.
-
Disorder-Specific Differences:
- ASD and ADHD showed similar connectivity structures, but in opposite directions—reduced connectivity in ASD, increased in ADHD.
- Schizophrenia exhibited more widespread and heterogeneous disruptions.
-
Clinical Relevance: These deviations in connectivity were directly linked to symptom severity across all disorders.
-
Bridging Brain and Molecules:
- The shared pattern was associated with genes involved in synaptic organization, lipid metabolism, and cellular structural processes.
- The disorder-specific patterns were linked to distinct neurotransmitter systems and cellular pathways.
💡 Why This Matters
The findings suggest that common disruptions in brain networks may form a biological foundation that crosses current diagnostic categories. This challenges the traditional view of these conditions as entirely separate entities.
The study demonstrates the power of integrating large-scale brain imaging with molecular data to better understand the underlying biology of psychiatric disorders, potentially paving the way for more targeted and effective treatments.