Search bioRxiv⌕ Search

Biology subjects

Gorska-Klimowska, U.

Publications and source records attributed to Gorska-Klimowska, U..

2 recordsLinked to original sources

Sleep affects low-gamma range effective cortical connectivity for 40-Hz auditory steady-state responses

The 40-Hz auditory steady-state response (40-Hz ASSR) is a sensitive marker of changes in arousal level, which has been reported to decrease during slow-wave sleep. However, sleep-related changes in directional connectivity during 40-Hz ASSR across cortical networks remain underexplored. In this study, we examined how wakefulness, NREM (N1, N2, N3) and REM sleep affect the direction and extent of neural signal propagation. EEG data during periodic 40-Hz auditory stimulation were collected during an overnight study from 29 normal-hearing human subjects (including 16 females). A source analysis was implemented to locate cortical activity, and effective connectivity was assessed with the Directed Transfer Function (DTF) in the low-gamma band (37-43 Hz). We focused on the connections between auditory cortical regions, prefrontal and temporo-parietal associative cortices. We hypothesized that: 1) feedback connections from associative to primary auditory areas will be the most affected by the arousal state changes; 2) associative reciprocal connectivity between prefrontal and temporo-parietal regions will display gradual connectivity reduction with increasing NREM sleep depth, with partial restoration during REM sleep. Our results showed that feedforward rather than feedback connectivity was most strongly disrupted during sleep, particularly in NREM N2 and N3 stages, contradicting our first hypothesis. The second hypothesis was supported: reciprocal connectivity between prefrontal and parietal associative cortices significantly decreased with sleep depth. Overall, our findings suggest that reduced cortical propagation of 40-Hz ASSR related neuronal signals during sleep primarily reflects a breakdown in bottom-up signal transmission, and a parallel weakening of reciprocal prefrontal-parietal coupling.

neuroscience↗

An adversarial collaboration to critically evaluate theories of consciousness

Different theories explain how subjective experience arises from brain activity1,2. These theories have independently accrued evidence, yet, confirmation bias and dependence on design choices hamper progress in the field3. Here, we present an open science adversarial collaboration which directly juxtaposes Integrated Information Theory (IIT)4,5 and Global Neuronal Workspace Theory (GNWT)6-10, employing a theory-neutral consortium approach11,12. We investigate neural correlates of the content and duration of visual experience. The theory proponents and the consortium developed and preregistered the experimental design, divergent predictions, expected outcomes, and their interpretation12. 256 human subjects viewed suprathreshold stimuli for variable durations while neural activity was measured with functional magnetic resonance imaging, magnetoencephalography, and electrocorticography. We find information about conscious content in visual, ventro-temporal and inferior frontal cortex, with sustained responses in occipital and lateral temporal cortex reflecting stimulus duration, and content-specific synchronization between frontal and early visual areas. These results confirm some predictions of IIT and GNWT, while substantially challenging both theories: for IIT, a lack of sustained synchronization within posterior cortex contradicts the claim that network connectivity specifies consciousness. GNWT is challenged by the general lack of ignition at stimulus offset and limited representation of certain conscious dimensions in prefrontal cortex. Beyond challenging the theories themselves, we present an alternative approach to advance cognitive neuroscience through a principled, theory-driven, collaborative effort. We highlight the challenges to change peoples mind 13 and the need for a quantitative framework integrating evidence for systematic theory testing and building.

neuroscience↗