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Pierre Blier

Biographic Data

ID10407237
NAMEPierre Blier
GIVEN NAMESPierre
FAMILY NAMEBlier
SIGNATUREBLIER P
VERIFIEDNo
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2024
H-INDEX0
  • One size does not fit all

    Open Access•Gwen van der Wijk, Yaruuna Enkhbold et al.•ARTICLE•Frontiers in Psychiatry•2024

    https://clinicaltrials.gov, identifier NCT00519428

  • Common Data Elements to Facilitate Sharing and Re-use of Participant-Level Data

    Open Access•Anthony L Vaccarino, Derek Beaton et al.•ARTICLE•Frontiers in Psychiatry•2022

    The Ontario Brain Institute's "Brain-CODE" is a large-scale informatics platform designed to support the collection, storage and integration of diverse types of data across several brain disorders as a means to understand underlying causes of brain dysfunction and developing novel approaches to treatment. By providing access to aggregated datasets on participants with and without different brain disorders, Brain-CODE will facilitate analyses both…

  • Atypical Temporal Dynamics of Resting State Shapes Stimulus-Evoked Activity in Depression—An EEG Study on Rest–Stimulus Interaction

    Open Access•Annemnarie Wolff, Sara De La Salle et al.•ARTICLE•Frontiers in Psychiatry•2019

    Major depressive disorder (MDD) is a complex psychiatric disorder characterized by changes in both resting state and stimulus-evoked activity. Whether resting state changes are carried over to stimulus-evoked activity, however, is unclear. We conducted a combined rest (3 min) and task (three-stimulus auditory oddball paradigm) EEG study in n =28 acute depressed MDD patients, comparing them with n =25 healthy participants. Our focus was on the tem…

  • Leveraging Machine Learning Approaches for Predicting Antidepressant Treatment Response Using Electroencephalography (EEG) and Clinical Data

    Open Access•Natalia Jaworska, Sara De La Salle et al.•ARTICLE•Frontiers in Psychiatry•2019

    Background: Individuals with major depressive disorder (MDD) vary in their response to antidepressants. However, identifying objective biomarkers, prior to or early in the course of treatment that can predict antidepressant efficacy, remains a challenge. Methods: Individuals with MDD participated in a 12-week antidepressant pharmacotherapy trial. Electroencephalographic (EEG) data was collected before and 1 week post-treatment initiation in 51 pa…

No prominent works on this page.

  • Atypical Temporal Dynamics of Resting State Shapes Stimulus-Evoked Activity in Depression—An EEG Study on Rest–Stimulus Interaction

    Open Access•Annemnarie Wolff, Sara De La Salle et al.•ARTICLE•Frontiers in Psychiatry•2019

    Major depressive disorder (MDD) is a complex psychiatric disorder characterized by changes in both resting state and stimulus-evoked activity. Whether resting state changes are carried over to stimulus-evoked activity, however, is unclear. We conducted a combined rest (3 min) and task (three-stimulus auditory oddball paradigm) EEG study in n =28 acute depressed MDD patients, comparing them with n =25 healthy participants. Our focus was on the tem…

  • Leveraging Machine Learning Approaches for Predicting Antidepressant Treatment Response Using Electroencephalography (EEG) and Clinical Data

    Open Access•Natalia Jaworska, Sara De La Salle et al.•ARTICLE•Frontiers in Psychiatry•2019

    Background: Individuals with major depressive disorder (MDD) vary in their response to antidepressants. However, identifying objective biomarkers, prior to or early in the course of treatment that can predict antidepressant efficacy, remains a challenge. Methods: Individuals with MDD participated in a 12-week antidepressant pharmacotherapy trial. Electroencephalographic (EEG) data was collected before and 1 week post-treatment initiation in 51 pa…

  • Common Data Elements to Facilitate Sharing and Re-use of Participant-Level Data

    Open Access•Anthony L Vaccarino, Derek Beaton et al.•ARTICLE•Frontiers in Psychiatry•2022

    The Ontario Brain Institute's "Brain-CODE" is a large-scale informatics platform designed to support the collection, storage and integration of diverse types of data across several brain disorders as a means to understand underlying causes of brain dysfunction and developing novel approaches to treatment. By providing access to aggregated datasets on participants with and without different brain disorders, Brain-CODE will facilitate analyses both…

  • One size does not fit all

    Open Access•Gwen van der Wijk, Yaruuna Enkhbold et al.•ARTICLE•Frontiers in Psychiatry•2024

    https://clinicaltrials.gov, identifier NCT00519428

Psychology (4 works) · Electroencephalography (3 works) · Functional Brain Connectivity Studies (3 works) · Medicine (3 works) · Psychiatry (3 works) · Antidepressant (2 works) · Anxiety (2 works) · Clinical Psychology (2 works) · Clinical Psychology (2 works) · Neural and Behavioral Psychology Studies (2 works)

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