Olivia Gosseries

Dr. Olivia Gosseries

Coma Science Group, GIGA Consciousness, University of Liège, Liège 4000, Belgium
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Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 August 2013 in Science Translational Medicine
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ACAdenauer Girardi Casali
Adenauer Girardi Casali
OGOlivia Gosseries
Olivia Gosseries
MRMario Rosanova
Mario Rosanova
MBMélanie Boly
Mélanie Boly
SSSimone Sarasso
Simone Sarasso
MMMarcello Massimini
Marcello Massimini
A theory-derived index of consciousness, which quantifies the complexity of the brain’s response to a stimulus, measures the level of consciousness in awake, sleeping, anesthetized, and brain-damaged subjects.

23 February 2020 in European Journal of Neurology
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DKDaniel Kondziella
Daniel Kondziella
ABA. Bender
A. Bender
KDK. Diserens
K. Diserens
WEW. van Erp
W. van Erp
AMAlfonso Magliacano
Alfonso Magliacano
DCDisorders Of Consciousness On Behalf Of The Ean Panel On Coma
Disorders Of Consciousness On Behalf Of The Ean Panel On Coma

1 August 2014 in The Lancet
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JSJohan Stender
Johan Stender
OGOlivia Gosseries
Olivia Gosseries
MBMarie-Aurélie Bruno
Marie-Aurélie Bruno
VCVanessa Charland-Verville
Vanessa Charland-Verville
AVAudrey Vanhaudenhuyse
Audrey Vanhaudenhuyse
SLSteven Laureys
Steven Laureys

2 December 2016 in Science
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NRNathan S. Rose
Nathan S. Rose
JLJoshua J. LaRocque
Joshua J. LaRocque
ARAdam C. Riggall
Adam C. Riggall
OGOlivia Gosseries
Olivia Gosseries
MSMichael J. Starrett
Michael J. Starrett
BPBradley R. Postle
Bradley R. Postle
A pulse of random activity is sufficient for a brain network to retrieve a dormant activity state.

22 September 2016 in Annals of Neurology
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SCSilvia Casarotto
Silvia Casarotto
ACAngela Comanducci
Angela Comanducci
MRMario Rosanova
Mario Rosanova
SSSimone Sarasso
Simone Sarasso
MFMatteo Fecchio
Matteo Fecchio
MMMarcello Massimini
Marcello Massimini
Objective: Validating objective, brain‐based indices of consciousness in behaviorally unresponsive patients represents a challenge due to the impossibility of obtaining independent evidence through subjective reports. Here we address this problem by first validating a promising metric of consciousness—the Perturbational Complexity Index (PCI)—in a benchmark population who could confirm the presence or absence of consciousness through subjective reports, and then applying the same index to patients with disorders of consciousness (DOCs).Methods: The benchmark population encompassed 150 healthy controls and communicative brain‐injured subjects in various states of conscious wakefulness, disconnected consciousness, and unconsciousness. Receiver operating characteristic curve analysis was performed to define an optimal cutoff for discriminating between the conscious and unconscious conditions. This cutoff was then applied to a cohort of noncommunicative DOC patients (38 in a minimally conscious state [MCS] and 43 in a vegetative state [VS]).Results: We found an empirical cutoff that discriminated with 100% sensitivity and specificity between the conscious and the unconscious conditions in the benchmark population. This cutoff resulted in a sensitivity of 94.7% in detecting MCS and allowed the identification of a number of unresponsive VS patients (9 of 43) with high values of PCI, overlapping with the distribution of the benchmark conscious condition.Interpretation: Given its high sensitivity and specificity in the benchmark and MCS population, PCI offers a reliable, independently validated stratification of unresponsive patients that has important physiopathological and therapeutic implications. In particular, the high‐PCI subgroup of VS patients may retain a capacity for consciousness that is not expressed in behavior. Ann Neurol 2016;80:718–729

13 May 2011 in Science
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MBMelanie Boly
Melanie Boly
MGMarta Isabel Garrido
Marta Isabel Garrido
OGOlivia Gosseries
Olivia Gosseries
MBMarie-Aurélie Bruno
Marie-Aurélie Bruno
PBPierre Boveroux
Pierre Boveroux
KFKarl Friston Friston
Karl Friston Friston
Discerning the neural correlates of (un)consciousness sheds light on the mechanisms underlying vegetative states.