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Dementia Subtypes Defined Through Neuropsychiatric Symptom-Associated Brain Connectivity Patterns.
Kanhao Zhao1, Hua Xie2,3, Gregory A Fonzo4
1Department of Bioengineering, Lehigh University, Bethlehem, Pennsylvania.
JAMA Network Open
|July 8, 2024
Summary
This study identified distinct dementia subtypes based on brain connectivity patterns and neuropsychiatric symptoms. These subtypes show varying progression, offering new ways to manage dementia care.
Area of Science:
- Neuroscience
- Psychiatry
- Medical Imaging
Background:
- Understanding dementia heterogeneity is crucial for effective treatment.
- Neuropsychiatric symptoms (NPSs) and brain abnormalities vary significantly among individuals with dementia.
Purpose of the Study:
- To identify dementia subtypes characterized by distinct functional brain connectivity patterns.
- To associate these subtypes with specific neuropsychiatric symptom clusters (subsyndromes).
Main Methods:
- Analysis of resting-state functional magnetic resonance imaging (fMRI) data from OASIS-3 and ADNI databases.
- Multivariate sparse canonical correlation analysis to identify NPS subsyndromes.
- Clustering analysis to reveal neurophysiological subtypes based on connectivity profiles.
Main Results:
- Two NPS subsyndromes were identified: behavioral and anxiety.
- Three dementia subtypes emerged, with subtypes 1 and 2 showing dysfunctional connectivity compared to subtype 3 and healthy controls.
- These subtypes differed in baseline severity and longitudinal cognitive/behavioral progression.
Conclusions:
- Dementia exhibits distinct subtypes based on functional brain connectivity and NPSs.
- This framework aids in understanding dementia heterogeneity.
- Findings support targeted interventions for improved clinical management.
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