Decoherence via Demyelination Hypothesis (DDH): A Mechanism of Cognitive Decline During Aging
Gershteyn, I. M.; Markov, N. T.; Olzinski, M.; Kramer, J.; Casaletto, K. B.; Ellerby, L. M.; Furman, D.
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Progressive cognitive decline and loss of white matter integrity are observed during aging, but whether these two processes are connected remains unclear. We propose the Decoherence via Demyelination Hypothesis (DDH) as a mechanism linking non-uniform, tract-specific myelin loss during aging, which results in the degradation of conduction timing that is required to coordinate long-range neuronal assemblies. This impairs the dynamic assembly of task-dependent functional networks and promotes age-associated cognitive change. Axonal myelination determines conduction velocity as well as signal transmission fidelity, properties essential for phase-locked integration of long-distance inputs with local oscillations and for the assembly of mesoscale functional brain networks. If myelin loss is heterogeneous across tracts, the resulting timing perturbations should be heterogeneous as well, with disproportionate impact on networks supporting higher-order cognition. To test this, we analyzed structural and microstructural MRI in 638 individuals aged 40-99, quantifying fasciculation in different white matter pathways as well as neurite orientation dispersion and density imaging (NODDI) to the gray-white matter interface beneath cortical regions. We observed tract-specific, non-uniform myelin decline, with significant nonlinear losses in tracts serving high order cognition and memory (uncinate fasciculus, fornix, corpus callosum), consistent with accelerated late-life vulnerability in pathways implicated in cognitive aging and increased risk for neurodegenerative diseases. Tract-level degeneration tracked with age-related shifts in network organization and cognition. These findings may support DDH as a framework for age-associated cognitive change. Particularly, tract-specific timing perturbations drive the breakdown of coordinated network activity in aging.
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