Search bioRxiv⌕ Search

Biology subjects

Cusinato, R.

Publications and source records attributed to Cusinato, R..

2 recordsLinked to original sources

Sleep modulates neural timescales and spatiotemporal integration in the human cortex

Spontaneous neural dynamics manifest across multiple timescales, which are intrinsic to brain areas and exhibit hierarchical organization across the cortex. In wake, a hierarchy of timescales is thought to naturally emerge from microstructural properties, gene expression, and recurrent connections. A fundamental question is timescales organization and changes in sleep, where physiological needs are different. Here, we describe two coexisting but distinct measures of neural timescales, obtained from broadband activity and gamma power, which display complementary properties. We leveraged intracranial electroencephalography (iEEG) data to characterize timescale changes from wake to sleep across the cortical hierarchy. We show that both broadband and gamma timescales are globally longer in sleep than in wake. While broadband timescales increase along the sensorimotor-association axis, gamma ones decrease. During sleep, slow waves can explain the increase of broadband and gamma timescales, but only broadband ones show a positive association with slow-wave density across the cortex. Finally, we characterize spatial correlations and their relationship with timescales as a proxy for spatiotemporal integration, finding high integration at long distances in wake for broadband and at short distances in sleep for gamma timescales. Our results suggest that mesoscopic neural populations possess different timescales that are shaped by anatomy and are modulated by the sleep/wake cycle. Significance statementUnderstanding the organization of intrinsic neural dynamics is crucial for investigating brain functions in health and disease. A key question is: how do neural dynamics change in the sleeping brain? Here we focus on neural timescales, which measure temporal autocorrelation and are organized hierarchically across the cortex, and spatial correlations. We show that two types of timescales exist in neural populations recorded with intracranial electroencephalography in humans, corresponding to broadband (0.5-80 Hz) and gamma (40-80 Hz) frequency ranges. Both timescales increase in sleep, where slow waves have an important role, but follow opposite hierarchies: broadband timescales increase from sensory to associative areas, while gamma timescales show the reverse pattern. Finally, timescales covary with spatial correlations, suggesting higher spatiotemporal integration over long distances in wake compared to sleep.

neuroscience↗

Intrinsic neural timescales in the temporal lobe support an auditory processing hierarchy

During rest, intrinsic neural dynamics manifest at multiple timescales, which progressively increase along visual and somatosensory hierarchies. Theoretically, intrinsic timescales are thought to facilitate processing of external stimuli at multiple stages. However, direct links between timescales at rest and sensory processing, as well as translation to the auditory system are lacking. Here, we used intracranial electroencephalography in humans to show that in the auditory network, intrinsic neural timescales progressively increase, while the spectral slope flattens, from temporal to entorhinal cortex, hippocampus, and amygdala. Within the neocortex, intrinsic timescales exhibit spatial gradients that follow the temporal lobe anatomy. Crucially, intrinsic timescales at rest can explain the latency of auditory responses: as intrinsic timescales increase, so do the single-electrode response onset and peak latencies. Our results suggest that the human auditory network exhibits a repertoire of intrinsic neural dynamics, which manifest in cortical gradients with millimeter resolution and may provide a variety of temporal windows to support auditory processing.

neuroscience↗