Resting-state networks distinguish locked-in from vegetative state patients
Purpose: Locked-in syndrome and vegetative state are distinct outcomes from coma. Despite their differences, they are clinically difficult to distinguish at the early stage and current diagnostic tools remain insufficient. Since some brain functions are preserved in locked-in syndrome, we postulated...
Main Authors: | , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2016-01-01
|
Series: | NeuroImage: Clinical |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2213158216301012 |
id |
doaj-910c2ec2029946a8b3104db8b9a18286 |
---|---|
record_format |
Article |
spelling |
doaj-910c2ec2029946a8b3104db8b9a182862020-11-24T22:15:57ZengElsevierNeuroImage: Clinical2213-15822016-01-0112C162210.1016/j.nicl.2016.06.003Resting-state networks distinguish locked-in from vegetative state patientsDaniel Roquet0Jack R. Foucher1Pierre Froehlig2Félix Renard3Julien Pottecher4Hortense Besancenot5Francis Schneider6Maleka Schenck7Stéphane Kremer8ICube, UMR 7357, UdS, CNRS, Fédération de médecine translationnelle de Strasbourg (FMTS), Université de Strasbourg, Strasbourg, FranceICube, UMR 7357, UdS, CNRS, Fédération de médecine translationnelle de Strasbourg (FMTS), Université de Strasbourg, Strasbourg, FranceHôpitaux Universitaires de Strasbourg, Strasbourg, FranceFRE AGEIS, Université Grenoble Alpes, Grenoble, FranceUniversité de Strasbourg, Fédération de Médecine Translationnelle de Strasbourg (FMTS), FranceUniversité de Strasbourg, Fédération de Médecine Translationnelle de Strasbourg (FMTS), FranceUniversité de Strasbourg, Fédération de Médecine Translationnelle de Strasbourg (FMTS), FranceUniversité de Strasbourg, Fédération de Médecine Translationnelle de Strasbourg (FMTS), FranceICube, UMR 7357, UdS, CNRS, Fédération de médecine translationnelle de Strasbourg (FMTS), Université de Strasbourg, Strasbourg, FrancePurpose: Locked-in syndrome and vegetative state are distinct outcomes from coma. Despite their differences, they are clinically difficult to distinguish at the early stage and current diagnostic tools remain insufficient. Since some brain functions are preserved in locked-in syndrome, we postulated that networks of spontaneously co-activated brain areas might be present in locked-in patients, similar to healthy controls, but not in patients in a vegetative state. Methods: Five patients with locked-in syndrome, 12 patients in a vegetative state and 19 healthy controls underwent a resting-state fMRI scan. Individual spatial independent component analysis was used to separate spontaneous brain co-activations from noise. These co-activity maps were selected and then classified by two raters as either one of eight resting-state networks commonly shared across subjects or as specific to a subject. Results: The numbers of spontaneous co-activity maps, total resting-state networks, and resting-state networks underlying high-level cognitive activity were shown to differentiate controls and locked-in patients from patients in a vegetative state. Analyses of each common resting-state network revealed that the default mode network accurately distinguished locked-in from vegetative-state patients. The frontoparietal network also had maximum specificity but more limited sensitivity. Conclusions: This study reinforces previous reports on the preservation of the default mode network in locked-in syndrome in contrast to vegetative state but extends them by suggesting that other networks might be relevant to the diagnosis of locked-in syndrome. The aforementioned analysis of fMRI brain activity at rest might be a step in the development of a diagnostic biomarker to distinguish locked-in syndrome from vegetative state.http://www.sciencedirect.com/science/article/pii/S2213158216301012Locked-in syndromeConsciousnessUnresponsive wakefulness syndromeDefault mode networkfMRIFunctional connectivity |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Daniel Roquet Jack R. Foucher Pierre Froehlig Félix Renard Julien Pottecher Hortense Besancenot Francis Schneider Maleka Schenck Stéphane Kremer |
spellingShingle |
Daniel Roquet Jack R. Foucher Pierre Froehlig Félix Renard Julien Pottecher Hortense Besancenot Francis Schneider Maleka Schenck Stéphane Kremer Resting-state networks distinguish locked-in from vegetative state patients NeuroImage: Clinical Locked-in syndrome Consciousness Unresponsive wakefulness syndrome Default mode network fMRI Functional connectivity |
author_facet |
Daniel Roquet Jack R. Foucher Pierre Froehlig Félix Renard Julien Pottecher Hortense Besancenot Francis Schneider Maleka Schenck Stéphane Kremer |
author_sort |
Daniel Roquet |
title |
Resting-state networks distinguish locked-in from vegetative state patients |
title_short |
Resting-state networks distinguish locked-in from vegetative state patients |
title_full |
Resting-state networks distinguish locked-in from vegetative state patients |
title_fullStr |
Resting-state networks distinguish locked-in from vegetative state patients |
title_full_unstemmed |
Resting-state networks distinguish locked-in from vegetative state patients |
title_sort |
resting-state networks distinguish locked-in from vegetative state patients |
publisher |
Elsevier |
series |
NeuroImage: Clinical |
issn |
2213-1582 |
publishDate |
2016-01-01 |
description |
Purpose: Locked-in syndrome and vegetative state are distinct outcomes from coma. Despite their differences, they are clinically difficult to distinguish at the early stage and current diagnostic tools remain insufficient. Since some brain functions are preserved in locked-in syndrome, we postulated that networks of spontaneously co-activated brain areas might be present in locked-in patients, similar to healthy controls, but not in patients in a vegetative state.
Methods: Five patients with locked-in syndrome, 12 patients in a vegetative state and 19 healthy controls underwent a resting-state fMRI scan. Individual spatial independent component analysis was used to separate spontaneous brain co-activations from noise. These co-activity maps were selected and then classified by two raters as either one of eight resting-state networks commonly shared across subjects or as specific to a subject.
Results: The numbers of spontaneous co-activity maps, total resting-state networks, and resting-state networks underlying high-level cognitive activity were shown to differentiate controls and locked-in patients from patients in a vegetative state. Analyses of each common resting-state network revealed that the default mode network accurately distinguished locked-in from vegetative-state patients. The frontoparietal network also had maximum specificity but more limited sensitivity.
Conclusions: This study reinforces previous reports on the preservation of the default mode network in locked-in syndrome in contrast to vegetative state but extends them by suggesting that other networks might be relevant to the diagnosis of locked-in syndrome. The aforementioned analysis of fMRI brain activity at rest might be a step in the development of a diagnostic biomarker to distinguish locked-in syndrome from vegetative state. |
topic |
Locked-in syndrome Consciousness Unresponsive wakefulness syndrome Default mode network fMRI Functional connectivity |
url |
http://www.sciencedirect.com/science/article/pii/S2213158216301012 |
work_keys_str_mv |
AT danielroquet restingstatenetworksdistinguishlockedinfromvegetativestatepatients AT jackrfoucher restingstatenetworksdistinguishlockedinfromvegetativestatepatients AT pierrefroehlig restingstatenetworksdistinguishlockedinfromvegetativestatepatients AT felixrenard restingstatenetworksdistinguishlockedinfromvegetativestatepatients AT julienpottecher restingstatenetworksdistinguishlockedinfromvegetativestatepatients AT hortensebesancenot restingstatenetworksdistinguishlockedinfromvegetativestatepatients AT francisschneider restingstatenetworksdistinguishlockedinfromvegetativestatepatients AT malekaschenck restingstatenetworksdistinguishlockedinfromvegetativestatepatients AT stephanekremer restingstatenetworksdistinguishlockedinfromvegetativestatepatients |
_version_ |
1725792039357906944 |