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Funded by the European Union's Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreement No. 945539 (Human Brain Project SGA3), PID2023-152918OB-I00 financed by 10.13039/501100011033/FEDER,UE, by ERC, NEMESIS, project number 101071900, and EBRAINS-PREP 101079717 to MVSV. JC was funded by EU Horizon 2020 Marie Sklodowska-Curie grant agreement No 860563.

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Spatiotemporal network dynamics and structural correlates in the human cerebral cortex in vitro

Publicado en:Progress In Neurobiology. 246 102719- - 2025-01-31 246(), DOI: 10.1016/j.pneurobio.2025.102719

Autores: Covelo, Joana; Camassa, Alessandra; Sanchez-Sanchez, Jose Manuel; Manasanch, Arnau; Dalla Porta, Leonardo; Cancino-Fuentes, Nathalia; Barbero-Castillo, Almudena; Robles, Rita M; Bosch, Miquel; Tapia-Gonzalez, Silvia; Merino-Serrais, Paula; Carreno, Mar; Conde-Blanco, Estefania; Arboix, Jordi Rumia; Roldan, Pedro; Defelipe, Javier; Sanchez-Vives, Maria V

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Resumen

Elucidating human cerebral cortex function is essential for understanding the physiological basis of both healthy and pathological brain states. We obtained extracellular local field potential recordings from slices of neocortical tissue from refractory epilepsy patients. Multi-electrode recordings were combined with histological information, providing a two-dimensional spatiotemporal characterization of human cortical dynamics in control conditions and following modulation of the excitation/inhibition balance. Slices expressed spontaneous rhythmic activity consistent with slow wave activity, comprising alternating active (Up) and silent (Down) states (Up-duration: 0.08 +/- 0.03 s, Down-duration: 2.62 +/- 2.12 s, frequency: 0.75 +/- 0.39 Hz). Up states propagated from deep to superficial layers, with faster propagation speeds than in other species (vertical: 64.6 mm/s; horizontal: 65.9 mm/ s). GABAA blockade progressively transformed the emergent activity into epileptiform discharges, marked by higher firing rates, faster network recruitment and propagation, and infraslow rhythmicity (0.01 Hz). This dynamical characterization broadens our understanding of the mechanistic organization of the human cortical network at the micro- and mesoscale.

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