RT Journal Article
T1 A shift towards super-critical brain dynamics predicts Alzheimer’s disease progression
A1 Javed, Ehtasham
A1 Suárez Méndez, Isabel
A1 Susi, Gianluca
A1 Verdejo Román, Juan
A1 Matias Palva, J
A1 Maestu Unturbe, Fernando
A1 Palva, Satu
AB Alzheimer’s disease (AD) is the most common form of dementia with continuum of disease progression of increasing severity from subjective cognitive decline (SCD) to mild cognitive impairment (MCI), and lastly to AD. The transition from MCI to AD has been linked to brain hyper-synchronization, but the underlying mechanisms leading to this are unknown. Here, we hypothesized that excessive excitation in AD disease progression would shift brain dynamics towards supercriticality across an extended regime of critical-like dynamics. In this framework, healthy brain activity during aging preserves operation at near the critical phase transition at balanced excitation-inhibition (E/I). To test this hypothesis, we used source-reconstructed resting-state MEG data from a cross-sectional cohort (N=343) of individuals with SCD, MCI and healthy controls (HC) as well as from a longitudinal cohort (N=45) of MCI patients. We then assessed brain criticality by quantifying long-range temporal correlations (LRTCs) and functional EI (fE/I) of neuronal oscillations. LRTCs were attenuated in SCD in spectrally and anatomically constrained regions while this breakdown was progressively more widespread in MC. In parallel, fE/I was increased in the MCI but not in the SC cohort. Both observations also predicted the disease progression in the longitudinal cohort. Finally, using machine learning trained on functional (LRTCs, fE/I) and structural (MTL volumes) features, we show that LRTCs and f/EI are the most informative features for accurate classification of individuals with SCD while structural changes accurate classify the individuals with MCI. These findings establish that a shift towards super-critical brain dynamics reflects early AD disease progression.
PB Society for Neuroscience
SN 0270-6474
YR 2024
FD 2024
LK https://hdl.handle.net/20.500.14352/116402
UL https://hdl.handle.net/20.500.14352/116402
LA eng
NO Javed E, Suárez-Méndez I, Susi G, Verdejo Román J,Palva JM, Maestú F, Palva S. A shift towards super-critical brain dynamics predicts Alzheimer’s disease progression. J Neurosci [Internet]. 2024 Dic 30. Available from: http://dx.doi.org/10.1523/jneurosci.0688-24.2024
NO Versión aceptada: 34 páginas
NO European Commission
DS Docta Complutense
RD 6 abr 2025