Neural Networks, Год журнала: 2025, Номер unknown, С. 107209 - 107209
Опубликована: Янв. 1, 2025
Язык: Английский
Imaging Neuroscience, Год журнала: 2024, Номер 2, С. 1 - 22
Опубликована: Март 1, 2024
Abstract Dynamic Functional Connectivity (dFC) is the study of dynamic patterns interaction that characterise brain function. Numerous numerical methods are available to compute and analyse dFC from high-dimensional data. In fMRI, a number them rely on computation instantaneous Phase Alignment (iPA) matrix (also known as Locking). Their limitations high computational cost concomitant need introduce approximations with ensuing information loss. Here, we analytical decomposition iPA. This has two advantages. Firstly, achieve an up 1000-fold reduction in computing time without Secondly, can formally alternative approaches analysis resulting time-varying connectivity patterns, Discrete Continuous EiDA (Eigenvector Analysis), related set metrics quantify total amount connectivity, drawn dynamical systems theory. We applied dataset 48 rats underwent functional magnetic resonance imaging (fMRI) at four stages during longitudinal ageing. Using EiDA, found provided robust markers ageing decreases metastability, increase informational complexity over life span. suggests reduces repertoire postulated support cognitive functions overt behaviours, slows down exploration this reduced repertoire, coherence its structure. summary, method extract lossless requires significantly less time, provides analytically principled for dynamics. These interpretable promising studies neurodevelopmental neurodegenerative disorders.
Язык: Английский
Процитировано
4
PLoS Computational Biology, Год журнала: 2024, Номер 20(4), С. e1011277 - e1011277
Опубликована: Апрель 4, 2024
According to the motor learning theory by Albus and Ito, synaptic depression at parallel fibre Purkinje cells synapse ( pf -PC) is main substrate responsible for sensorimotor contingencies under climbing control. However, recent experimental evidence challenges this relatively monopolistic view of cerebellar learning. Bidirectional plasticity appears crucial learning, in which different microzones can undergo opposite changes strength (e.g. downbound microzones–more likely depression, upbound microzones—more potentiation), multiple forms have been identified, distributed over circuit synapses. Here, we simulated classical eyeblink conditioning (CEBC) using an advanced spiking model embedding modules that are subject rules. Simulations indicate regulates cascade precise patterns spreading throughout cortex nuclei. CEBC was supported -PC synapses as well molecular layer interneurons (MLIs), but only combined switch-off both sites compromised significantly. By differentially engaging information related plasticity, contributed generate a well-timed conditioned response, it module played major role process. The outcomes our simulations closely align with behavioural electrophysiological phenotypes mutant mice suffering from cell-specific mutations affect processing their PC and/or MLI Our data highlight synergy bidirectional rules across cerebellum facilitate finetuning adaptive associative behaviours high spatiotemporal resolution.
Язык: Английский
Процитировано
4
Frontiers in Neuroscience, Год журнала: 2024, Номер 18
Опубликована: Сен. 17, 2024
Digital twins enable simulation, comprehensive analysis and predictions, as virtual representations of physical systems. They are also finding increasing interest application in the healthcare sector, with a particular focus on digital brain. We discuss how neuroscience modeling brain functions pathology they offer an in-silico approach to studying illustrating complex relationships between network dynamics related functions. To showcase capabilities twinning we demonstrate impact tumors brain’s structures functioning can be modeled relation philosophical concept plasticity. Against this technically derived backdrop, which assumes that nonlinear behavior toward improvement repair predicted based MRI data, further explore insights Catherine Malabou. Malabou emphasizes dual capacity for adaptive destructive will far Malabou’s ideas provide more holistic theoretical framework understanding model response injury pathology, embracing both plasticity provides address such yet incomputable aspects sometimes seemingly unfavorable neuroplasticity helping bridge gap research clinical practice.
Язык: Английский
Процитировано
4
Advanced Science, Год журнала: 2025, Номер unknown
Опубликована: Янв. 13, 2025
Abstract Excitation‐inhibition (E/I) imbalance is theorized as a key mechanism in the pathophysiology of epilepsy, with ample research focusing on elucidating its cellular manifestations. However, few studies investigate E/I at macroscale, whole‐brain level, and microcircuit‐level mechanisms clinical significance remain incompletely understood. Here, Hurst exponent, an index ratio, computed from resting‐state fMRI time series, microcircuit parameters are simulated using biophysical models. A broad decrease exponent observed pharmaco‐resistant temporal lobe epilepsy (TLE), suggesting more excitable network dynamics. Connectome decoders point to temporolimbic frontocentral cortices plausible epicenters imbalance. Furthermore, computational simulations reveal that enhancing cortical excitability TLE reflects atypical increases recurrent connection strength local neuronal ensembles. Mixed cross‐sectional longitudinal analyses show stronger ratio elevation patients longer disease duration, frequent electroclinical seizures well interictal epileptic spikes, worse cognitive functioning. exponent‐informed classifiers discriminate healthy controls high accuracy (72.4% [57.5%–82.5%]). Replicated independent dataset, this work provides vivo evidence macroscale shift balance points progressive functional imbalances relate decline.
Язык: Английский
Процитировано
0
Neural Networks, Год журнала: 2025, Номер unknown, С. 107209 - 107209
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0