Mapping and modeling age-related changes in intrinsic neural timescales

Communications Biology, Journal Year: 2025, Volume and Issue: 8(1)

Published: Feb. 3, 2025

Intrinsic timescales of brain regions exhibit heterogeneity, escalating with hierarchical levels, and are crucial for the temporal integration external stimuli. Aging, often associated cognitive decline, involves progressive neuronal synaptic loss, reshaping structure dynamics. However, impact these structural changes on coding in aging remains unclear. We mapped intrinsic gray matter volume (GMV) using magnetic resonance imaging (MRI) young elderly adults. found shorter across multiple large-scale functional networks cohort, a significant positive association between GMV. Additionally, age-related decline performance visual discrimination tasks was linked to reduction cuneus. To explain shifts, we developed an age-dependent spiking neuron network model. In younger subjects, were near critical branching regime, while subjects had fewer neurons synapses, pushing dynamics toward subcritical regime. The model accurately reproduced empirical results, showing longer adults due slowing down. Our findings reveal how may drive alterations dynamics, offering testable predictions informing possible interventions targeting decline. MRI data computational modeling shifts shedding light its effects processes, potential mechanisms underlying neurological vulnerabilities.

Language: Английский

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fMRI-Based Static and Dynamic Functional Connectivity Analysis for Post-Stroke Motor Dysfunction Patient: A Review

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 133067 - 133085

Published: Jan. 1, 2024

Language: Английский

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Stroke Shifts Brain Dynamics Toward Criticality: Evidence from Intrinsic Neural Timescales

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: April 21, 2025

Abstract Stroke induces widespread disruptions to brain function, extending beyond focal lesions alter the multiscale temporal dynamics that govern neural processing. These dynamics— operating across milliseconds months—form a hierarchical architecture essential for communication, integration, and adaptive plasticity. While stroke is known impair local activity, its effects on this hierarchy their consequences functional recovery remain poorly understood. We conducted comprehensive investigation of intrinsic timescales (INT) in 15 ischemic patients using longitudinal fMRI at five-time points over six months, comparing them age-matched healthy controls. INT quantifies how long populations retain information, providing quantitative measure fundamental processing dynamics. To further elucidate mechanistic basis stroke-induced changes, we performed computational modelling parsimonious excitable neuronal network dynamics, offering insights into alterations activity from dynamical systems perspective. Our analyses revealed some key findings: exhibited significantly prolonged multiple cortical regions, indicating slowed persisted throughout recovery. The typical organization INT, where sensory areas have shorter than higher-order association areas, was disrupted, particularly early post-stroke period. Recovery trajectories diverged two months post-stroke: with poor outcomes maintained abnormally cognitive control networks (dorsal attention, language, salience systems), whereas those better showed progressive normalization toward patterns, restoring brain’s dynamic balance timescales. Stroke-induced prolongation can be modelled as critical slowing down driven by shift distance criticality caused increased excitability. Within framework criticality, operate near boundary between order disorder optimize information processing, changes excitability appear push regime potentially supercritical state. This shift, characterized excessive persistence reduced flexibility, may underlie both observed outcomes. findings highlight importance suggest serve biomarker predicting long-term perspective provides novel way conceptualize framing within broader context self-organization processes. By integrating these neurorehabilitation strategies, such non-invasive stimulation, could inform targeted interventions restore timescales, thereby improving trajectories.

Language: Английский

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Dendrites contribute to the gradient of intrinsic timescales encompassing cortical and subcortical brain networks

Frontiers in Cellular Neuroscience, Journal Year: 2024, Volume and Issue: 18

Published: Sept. 6, 2024

Cytoarchitectonic studies have uncovered a correlation between higher levels of cortical hierarchy and reduced dendritic size. This hierarchical organization extends to the brain's timescales, revealing longer intrinsic timescales at levels. However, estimating contribution single-neuron morphology which is typically characterized macroscopic level, remains challenging.

Language: Английский

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Dynamic analysis of frequency specificity in multilayer brain networks

Brain Research, Journal Year: 2024, Volume and Issue: 1850, P. 149418 - 149418

Published: Dec. 21, 2024

Language: Английский

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