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Fortel, I.

Publications and source records attributed to Fortel, I..

2 recordsLinked to original sources

Disrupted excitation-inhibition balance in cognitively normal individuals at risk of Alzheimers disease

BackgroundSex differences impact Alzheimers disease (AD) neuropathology, but cell-to-network level dysfunctions in the prodromal phase are unclear. Alterations in hippocampal excitation-inhibition balance (EIB) have recently been linked to early AD pathology. ObjectiveExamine how AD risk factors (age, APOE-{varepsilon}4, amyloid-{beta}) relate to hippocampal EIB in cognitively normal males and females using connectome-level measures. MethodsIndividuals from the OASIS-3 cohort (age 42-95) were studied (N = 437), with a subset aged 65+ undergoing neuropsychological testing (N = 231). ResultsIn absence of AD risk factors (APOE-{varepsilon}4/A{beta}+), whole-brain EIB decreases with age more significantly in males than females (p = 0.021, {beta} = -0.007). Regression modeling including APOE-{varepsilon}4 allele carriers (A{beta}-) yielded a significant positive AGE-by-APOE interaction in the right hippocampus for females only (p = 0.013, {beta} = 0.014), persisting with inclusion of A{beta}+ individuals (p = 0.012, {beta} = 0.014). Partial correlation analyses of neuropsychological testing showed significant associations with EIB in females: positive correlations between right hippocampal EIB with categorical fluency and whole-brain EIB with the trail-making test (p < 0.05). ConclusionSex differences in EIB emerge during normal aging and progresses differently with AD risk. Results suggest APOE-{varepsilon}4 disrupts hippocampal balance more than amyloid in females. Increased excitation correlates positively with neuropsychological performance in the female group, suggesting a duality in terms of potential beneficial effects prior to cognitive impairment. This underscores the translational relevance of APOE-{varepsilon}4 related hyperexcitation in females, potentially informing therapeutic targets or early interventions to mitigate AD progression in this vulnerable population.

neuroscience↗

Enhanced simulations of whole-brain dynamics using hybrid resting-state structural connectomes

The human brain, composed of billions of neurons and synaptic connections, is an intricate network coordinating a sophisticated balance of excitatory and inhibitory activity between brain regions. The dynamical balance between excitation and inhibition is vital for adjusting neural input/output relationships in cortical networks and regulating the dynamic range of their responses to stimuli. To infer this balance using connectomics, we recently introduced a computational framework based on the Ising model, first developed to explain phase transitions in ferromagnets, and proposed a novel hybrid resting-state structural connectome (rsSC). Here, we show that a generative model based on the Kuramoto phase oscillator can be used to simulate static and dynamic functional connectomes (FC) with rsSC as the coupling weight coefficients, such that the simulated FC well aligns with the observed FC when compared to that simulated with traditional structural connectome. Simulations were performed using the open source framework The Virtual Brain on High Performance Computing infrastructure.

neuroscience↗