fMRI capture of auditory hallucinations: ...
Type de document :
Article dans une revue scientifique: Article original
DOI :
PMID :
URL permanente :
Titre :
fMRI capture of auditory hallucinations: Validation of the two-steps method
Auteur(s) :
Leroy, Arnaud [Auteur]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Sciences Cognitives et Sciences Affectives (SCALab) - UMR 9193
Foucher, Jack R. [Auteur]
Pins, Delphine [Auteur]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Sciences Cognitives et Sciences Affectives (SCALab) - UMR 9193 [SCALab]
Delmaire, Christine [Auteur]
Troubles cognitifs dégénératifs et vasculaires - U 1171 - EA 1046 [TCDV]
Troubles cognitifs dégénératifs et vasculaires - U 1171 - EA 1046 [TCDV]
Troubles cognitifs dégénératifs et vasculaires - U1171
Thomas, Pierre [Auteur]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Sciences Cognitives et Sciences Affectives (SCALab) - UMR 9193
Roser, Mathilde M. [Auteur]
Lefebvre, Stéphanie [Auteur]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Amad, Ali [Auteur]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Sciences Cognitives et Sciences Affectives (SCALab) - UMR 9193
Fovet, Thomas [Auteur]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Jaafari, Nemat [Auteur]
Jardri, Renaud [Auteur]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Sciences Cognitives et Sciences Affectives (SCALab) - UMR 9193
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Sciences Cognitives et Sciences Affectives (SCALab) - UMR 9193
Foucher, Jack R. [Auteur]
Pins, Delphine [Auteur]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Sciences Cognitives et Sciences Affectives (SCALab) - UMR 9193 [SCALab]
Delmaire, Christine [Auteur]
Troubles cognitifs dégénératifs et vasculaires - U 1171 - EA 1046 [TCDV]
Troubles cognitifs dégénératifs et vasculaires - U 1171 - EA 1046 [TCDV]
Troubles cognitifs dégénératifs et vasculaires - U1171
Thomas, Pierre [Auteur]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Sciences Cognitives et Sciences Affectives (SCALab) - UMR 9193
Roser, Mathilde M. [Auteur]
Lefebvre, Stéphanie [Auteur]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Amad, Ali [Auteur]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Sciences Cognitives et Sciences Affectives (SCALab) - UMR 9193
Fovet, Thomas [Auteur]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Jaafari, Nemat [Auteur]
Jardri, Renaud [Auteur]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Sciences Cognitives et Sciences Affectives (SCALab) - UMR 9193
Titre de la revue :
Human Brain Mapping
Nom court de la revue :
Hum. Brain Mapp.
Numéro :
38
Pagination :
4966-4979
Date de publication :
2017-06-28
ISSN :
1097-0193
Mot(s)-clé(s) en anglais :
schizophrenia
independent component analysis
reliability
reproducibility
fMRI
hallucinations
interview
Mesh:Brain/diagnostic imaging*
Mesh:Schizophrenia/diagnostic imaging
Mesh:Schizophrenia/drug therapy
Mesh:Schizophrenia/physiopathology
Mesh:Adult
Mesh:Hallucinations/drug therapy
Mesh:Hallucinations/diagnostic imaging*
Mesh:Female
Mesh:Hallucinations/physiopathology*
Mesh:Humans
Mesh:Magnetic Resonance Imaging/methods*
Mesh:Male
Mesh:Reproducibility of Results
Mesh:Brain Mapping/methods
Mesh:Brain/physiopathology*
Mesh:Antipsychotic Agents/therapeutic use
independent component analysis
reliability
reproducibility
fMRI
hallucinations
interview
Mesh:Brain/diagnostic imaging*
Mesh:Schizophrenia/diagnostic imaging
Mesh:Schizophrenia/drug therapy
Mesh:Schizophrenia/physiopathology
Mesh:Adult
Mesh:Hallucinations/drug therapy
Mesh:Hallucinations/diagnostic imaging*
Mesh:Female
Mesh:Hallucinations/physiopathology*
Mesh:Humans
Mesh:Magnetic Resonance Imaging/methods*
Mesh:Male
Mesh:Reproducibility of Results
Mesh:Brain Mapping/methods
Mesh:Brain/physiopathology*
Mesh:Antipsychotic Agents/therapeutic use
Discipline(s) HAL :
Sciences du Vivant [q-bio]
Sciences cognitives
Sciences cognitives
Résumé en anglais : [en]
Our purpose was to validate a reliable method to capture brain activity concomitant with hallucinatory events, which constitute frequent and disabling experiences in schizophrenia. Capturing hallucinations using functional ...
Lire la suite >Our purpose was to validate a reliable method to capture brain activity concomitant with hallucinatory events, which constitute frequent and disabling experiences in schizophrenia. Capturing hallucinations using functional magnetic resonance imaging (fMRI) remains very challenging. We previously developed a method based on a two-steps strategy including (1) multivariate data-driven analysis of per-hallucinatory fMRI recording and (2) selection of the components of interest based on a post-fMRI interview. However, two tests still need to be conducted to rule out critical pitfalls of conventional fMRI capture methods before this two-steps strategy can be adopted in hallucination research: replication of these findings on an independent sample and assessment of the reliability of the hallucination-related patterns at the subject level. To do so, we recruited a sample of 45 schizophrenia patients suffering from frequent hallucinations, 20 schizophrenia patients without hallucinations and 20 matched healthy volunteers; all participants underwent four different experiments. The main findings are (1) high accuracy in reporting unexpected sensory stimuli in an MRI setting; (2) good detection concordance between hypothesis-driven and data-driven analysis methods (as used in the two-steps strategy) when controlled unexpected sensory stimuli are presented; (3) good agreement of the two-steps method with the online button-press approach to capture hallucinatory events; (4) high spatial consistency of hallucinatory-related networks detected using the two-steps method on two independent samples. By validating the two-steps method, we advance toward the possible transfer of such technology to new image-based therapies for hallucinations. Hum Brain Mapp 38:4966-4979, 2017. © 2017 Wiley Periodicals, Inc.Lire moins >
Lire la suite >Our purpose was to validate a reliable method to capture brain activity concomitant with hallucinatory events, which constitute frequent and disabling experiences in schizophrenia. Capturing hallucinations using functional magnetic resonance imaging (fMRI) remains very challenging. We previously developed a method based on a two-steps strategy including (1) multivariate data-driven analysis of per-hallucinatory fMRI recording and (2) selection of the components of interest based on a post-fMRI interview. However, two tests still need to be conducted to rule out critical pitfalls of conventional fMRI capture methods before this two-steps strategy can be adopted in hallucination research: replication of these findings on an independent sample and assessment of the reliability of the hallucination-related patterns at the subject level. To do so, we recruited a sample of 45 schizophrenia patients suffering from frequent hallucinations, 20 schizophrenia patients without hallucinations and 20 matched healthy volunteers; all participants underwent four different experiments. The main findings are (1) high accuracy in reporting unexpected sensory stimuli in an MRI setting; (2) good detection concordance between hypothesis-driven and data-driven analysis methods (as used in the two-steps strategy) when controlled unexpected sensory stimuli are presented; (3) good agreement of the two-steps method with the online button-press approach to capture hallucinatory events; (4) high spatial consistency of hallucinatory-related networks detected using the two-steps method on two independent samples. By validating the two-steps method, we advance toward the possible transfer of such technology to new image-based therapies for hallucinations. Hum Brain Mapp 38:4966-4979, 2017. © 2017 Wiley Periodicals, Inc.Lire moins >
Langue :
Anglais
Audience :
Internationale
Vulgarisation :
Non
Établissement(s) :
Université de Lille
CNRS
CHU Lille
Inserm
CNRS
CHU Lille
Inserm
Équipe(s) de recherche :
Équipe Psychiatrie & Croyance (PsyCHIC)
Date de dépôt :
2019-02-13T14:17:52Z
2019-11-12T07:22:49Z
2019-11-12T07:37:55Z
2020-11-13T14:15:26Z
2019-11-12T07:22:49Z
2019-11-12T07:37:55Z
2020-11-13T14:15:26Z