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Published on: December 18, 2016
Human brain connectome profiles mediate the relationship between pathology burden and clinical phenotypes in
Yating Li1,2, Dong Wang1,2, Rongshen Zhou1,2
1School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.
Introduction:
Mild cognitive impairment (MCI), a prodromal stage of Alzheimer's disease (AD), shows pronounced clinical heterogeneity poorly explained by pathology burden, representing a gap complicating prognosis. As the brain operates as a complex network for information integration, we hypothesized that connectome architecture mediates the link between AD pathology and clinical expression.
Methods:
We developed a framework integrating structural and functional connectomes from multi-center cohorts, performing connectome-based subtyping in MCI, with analyses of upstream pathology, downstream phenotypes, and transcriptomic associations.
Results:
This approach identified an "MCI-compromised" (MCI-C) subgroup characterized by extensive structural-functional connectomic disruption and an "MCI-preserved" (MCI-P) subgroup with relatively preserved connectome integrity. Despite comparable pathology, MCI-C demonstrated more severe neurodegeneration, accelerated cognitive decline, and elevated progression risk. Multiscale analyses linked these patterns to transcriptomic profiles of mitochondrial, synaptic, and neuroimmune processes.
Discussion:
These findings demonstrate that the connectome acts as a critical mediator, rather than a passive endophenotype, shaping AD clinical expression.
Insights
Brain network integrity, not just Alzheimer's disease pathology, determines mild cognitive impairment progression. Connectome architecture significantly influences clinical outcomes in individuals with MCI.
Area of Science:
- Neuroscience
- Alzheimer's Disease Research
- Computational Psychiatry
Background:
- Mild cognitive impairment (MCI) presents significant clinical variability, challenging accurate prognosis.
- The role of brain network architecture in mediating Alzheimer's disease (AD) pathology and clinical presentation remains unclear.
Purpose of the Study:
- To investigate how connectome architecture influences the clinical heterogeneity observed in MCI.
- To determine if brain network integrity mediates the relationship between AD pathology and cognitive decline.
Main Methods:
- Developed a framework integrating structural and functional connectomes from multi-center cohorts.
- Performed connectome-based subtyping in MCI cohorts.
- Analyzed associations between connectomic patterns, pathology, clinical phenotypes, and transcriptomics.
Main Results:
- Identified two MCI subgroups: MCI-compromised (MCI-C) with disrupted connectomes and MCI-preserved (MCI-P) with intact connectomes.
- MCI-C exhibited more severe neurodegeneration, faster cognitive decline, and higher progression risk despite similar pathology burden.
- Connectomic disruptions in MCI-C were linked to transcriptomic profiles involving mitochondrial, synaptic, and neuroimmune pathways.
Conclusions:
- Connectome architecture is a critical mediator, not merely a passive marker, of clinical expression in MCI.
- Brain network integrity plays a key role in shaping individual trajectories within the Alzheimer's disease continuum.
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