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Topic: Disorders of Consciousness

Seminar
2 seminars
ePoster
1 ePoster

In Clinical Neurology and Clinical Neurophysiology

Seminar · Consciousness

Consciousness at the edge of chaos

Martin Monti · University of California Los Angeles

Sat, Dec 13, 2025 · 00:00 UTC

Over the last 20 years, neuroimaging and electrophysiology techniques have become central to understanding the mechanisms that accompany loss and recovery of consciousness. Much of this research is performed in the context of healthy individuals with neurotypical brain dynamics. Yet, a true understanding of how consciousness emerges from the joint action of neurons has to account for how severely pathological brains, often showing phenotypes typical of unconsciousness, can nonetheless generate a subjective viewpoint. In this presentation, I will start from the context of Disorders of Conscious

Seminar · Cognition

Peripersonal space (PPS) as a primary interface for self-environment interactions

Andrea Serino · CHUV Lausanne, Switzerland

Tue, Jun 28, 2022 · 12:00 UTC

Peripersonal space (PPS) defines the portion of space where interactions between our body and the external environment more likely occur. There is no physical boundary defining the PPS with respect to the extrapersonal space, but PPS is continuously constructed by a dedicated neural system integrating external stimuli and tactile stimuli on the body, as a function of their potential interaction. This mechanism represents a primary interface between the individual and the environment. In this talk, I will present most recent evidence and highlight the current debate about the neural and computa

ePoster · Consciousness

Heart rhythm in the diagnosis of disorders of consciousness

Aleksandra Bartnik, Anna Duszyk-Bogorodzka · FENS Forum 2024

This study delves into an examination of heart rhythm patterns among patients afflicted with disorders of consciousness. The research primarily focuses on the analysis of polysomnographic recordings in the time domain while also exploring methodologies for evaluating peripheral signals. An algorithm aimed at detecting heart rhythm was introduced and applied. Utilizing preprocessed signals, various indices, predominantly utilized for assessing other peripheral signals such as STD RRr, RMSSD, IBI, HURST, ApEn, NN300, HRT, and pNN300, were computed across 69 patient measurements sourced from the