Recovery from disorders of consciousness: mechanisms, prognosis and emerging therapies
Substantial progress has been made over the past two decades in detecting, predicting and
promoting recovery of consciousness in patients with disorders of consciousness (DoC) …
promoting recovery of consciousness in patients with disorders of consciousness (DoC) …
Clinical and advanced neurophysiology in the prognostic and diagnostic evaluation of disorders of consciousness: review of an IFCN-endorsed expert group
The analysis of spontaneous EEG activity and evoked potentials is a cornerstone of the
instrumental evaluation of patients with disorders of consciousness (DoC). The past few …
instrumental evaluation of patients with disorders of consciousness (DoC). The past few …
Prognostication after cardiac arrest
Hypoxic–ischaemic brain injury (HIBI) is the main cause of death in patients who are
comatose after resuscitation from cardiac arrest. A poor neurological outcome—defined as …
comatose after resuscitation from cardiac arrest. A poor neurological outcome—defined as …
[HTML][HTML] Decoding cognition in neurodevelopmental, psychiatric and neurological conditions with multivariate pattern analysis of EEG data
Multivariate pattern analysis (MVPA) of electroencephalographic (EEG) data represents a
revolutionary approach to investigate how the brain encodes information. By considering …
revolutionary approach to investigate how the brain encodes information. By considering …
[HTML][HTML] Complementary roles of neural synchrony and complexity for indexing consciousness and chances of surviving in acute coma
An open challenge in consciousness research is understanding how neural functions are
altered by pathological loss of consciousness. To maintain consciousness, the brain needs …
altered by pathological loss of consciousness. To maintain consciousness, the brain needs …
Deep learning for EEG-based prognostication after cardiac arrest: from current research to future clinical applications
Outcome prognostication in comatose patients after cardiac arrest (CA) remains to date a
challenge. The major determinant of clinical outcome is the post-hypoxic/ischemic …
challenge. The major determinant of clinical outcome is the post-hypoxic/ischemic …
Estimating the false positive rate of absent somatosensory evoked potentials in cardiac arrest prognostication
E Amorim, MM Ghassemi, JW Lee, DM Greer… - Critical care …, 2018 - journals.lww.com
Objectives: Absence of somatosensory evoked potentials is considered a nearly perfect
predictor of poor outcome after cardiac arrest. However, reports of good outcomes despite …
predictor of poor outcome after cardiac arrest. However, reports of good outcomes despite …
[HTML][HTML] Quantitative analysis of early-stage EEG reactivity predicts awakening and recovery of consciousness in patients with severe brain injury
E Bouchereau, A Marchi, B Hermann… - British Journal of …, 2023 - Elsevier
Background Decisions of withdrawal of life-sustaining therapy for patients with severe brain
injury are often based on prognostic evaluations such as analysis of …
injury are often based on prognostic evaluations such as analysis of …
NeuroTec sitem-insel bern: closing the last mile in neurology
Neurology is focused on a model where patients receive their care through repeated visits to
clinics and doctor's offices. Diagnostic tests often require expensive and specialized …
clinics and doctor's offices. Diagnostic tests often require expensive and specialized …
Automatic sensory predictions: a review of predictive mechanisms in the brain and their link to conscious processing
The human brain has the astonishing capacity of integrating streams of sensory information
from the environment and forming predictions about future events in an automatic way …
from the environment and forming predictions about future events in an automatic way …