A myriad of pathological changes associated with epilepsy can be recast as decreases in cell and circuit heterogeneity. We thus propose recontextualizing epileptogenesis as a process where reduction in cellular heterogeneity, in part, renders neural circuits less resilient to seizure. By comparing patch clamp recordings from human layer 5 (L5) cortical pyramidal neurons from epileptogenic and non-epileptogenic tissue, we demonstrate significantly decreased biophysical heterogeneity in seizure-generating areas. Implemented computationally, this renders model neural circuits prone to sudden transitions into synchronous states with increased firing activity, paralleling ictogenesis. This computational work also explains the surprising finding of significantly decreased excitability in the population-activation functions of neurons from epileptogenic tissue. Finally, mathematical analyses reveal a bifurcation structure arising only with low heterogeneity and associated with seizure-like dynamics. Taken together, this work provides experimental, computational, and mathematical support for the theory that ictogenic dynamics accompany a reduction in biophysical heterogeneity.
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http://dx.doi.org/10.1016/j.celrep.2022.110863 | DOI Listing |
Development
January 2025
Department of Neurosciences, University of California San Diego, La Jolla, CA 92037, USA.
Human GABAergic inhibitory neurons (INs) in the telencephalon play crucial roles in modulating neural circuits, generating cortical oscillations, and maintaining the balance between excitation and inhibition. The major IN subtypes are based on their gene expression profiles, morphological diversity and circuit-specific functions. Although previous foundational work has established that INs originate in the ganglionic eminence regions in mice, recent studies have questioned origins in humans and non-human primates.
View Article and Find Full Text PDFJ Chem Phys
January 2025
NeuroTechNet S.A.S, 1108831 Bogotá, Colombia and Quantum and Computational Chemistry Group, Universidad Nacional de Colombia - Bogotá Campus, Bogotá, Colombia.
In the quest to harness the power of quantum computing, training quantum neural networks (QNNs) presents a formidable challenge. This study introduces an innovative approach, integrating the Bees Optimization Algorithm (BOA) to overcome one of the most significant hurdles-barren plateaus. Our experiments across varying qubit counts and circuit depths demonstrate the BOA's superior performance compared to the Adam algorithm.
View Article and Find Full Text PDFFront Hum Neurosci
December 2024
Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, United States.
Introduction: The combination of magnetic and focused ultrasonic fields generates focused electric fields at depth entirely noninvasively. This noninvasive method may find particularly important applications in targeted treatments of the deep brain circuits involved in mental and neurological disorders. Due to the novelty of this method, it is nonetheless unknown which parameters modulate neural activity effectively.
View Article and Find Full Text PDFNature
January 2025
Department of Neurobiology and Behavior, Cornell University, Ithaca, NY, USA.
Accurate goal-directed behaviour requires the sense of touch to be integrated with information about body position and ongoing motion. Behaviours such as chewing, swallowing and speech critically depend on precise tactile events on a rapidly moving tongue, but neural circuits for dynamic touch-guided tongue control are unknown. Here, using high-speed videography, we examined three-dimensional lingual kinematics as mice drank from a water spout that unexpectedly changed position during licking, requiring re-aiming in response to subtle contact events on the left, centre or right surface of the tongue.
View Article and Find Full Text PDFJ Zhejiang Univ Sci B
April 2024
Department of Neurology and International Institutes of Medicine, the Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu 322000, China.
Stress has been considered as a major risk factor for depressive disorders, triggering depression onset via inducing persistent dysfunctions in specialized brain regions and neural circuits. Among various regions across the brain, the lateral habenula (LHb) serves as a critical hub for processing aversive information during the dynamic process of stress accumulation, thus having been implicated in the pathogenesis of depression. LHb neurons integrate aversive valence conveyed by distinct upstream inputs, many of which selectively innervate the medial part (LHbM) or lateral part (LHbL) of LHb.
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