Keyword search (4,163 papers available)

"Delaire É" Authored Publications:

Title Authors PubMed ID
1 How vigilance states influence source imaging of physiological brain oscillations: evidence from intracranial EEG Wei X; Afnan J; Avigdor T; von Ellenrieder N; Delaire É; Royer J; Ho A; Minato E; Schiller K; Jaber K; Wang YL; Moye M; Bernhardt BC; Lina JM; Grova C; Frauscher B; 41687693
SOH
2 Hemodynamic correlates of fluctuations in neuronal excitability: A simultaneous Paired Associative Stimulation (PAS) and functional near infra-red spectroscopy (fNIRS) study Cai Z; Pellegrino G; Spilkin A; Delaire E; Uji M; Abdallah C; Lina JM; Fecteau S; Grova C; 40567300
PERFORM
3 Spectral and network investigation reveals distinct power and connectivity patterns between phasic and tonic REM sleep Avigdor T; Peter-Derex L; Ho A; Schiller K; Wang Y; Abdallah C; Delaire E; Jaber K; Travnicek V; Grova C; Frauscher B; 40394955
SOH
4 NIRSTORM: a Brainstorm extension dedicated to functional near-infrared spectroscopy data analysis, advanced 3D reconstructions, and optimal probe design Delaire É; Vincent T; Cai Z; Machado A; Hugueville L; Schwartz D; Tadel F; Cassani R; Bherer L; Lina JM; Pélégrini-Issac M; Grova C; 40375973
SOH
5 EEG/MEG source imaging of deep brain activity within the maximum entropy on the mean framework: Simulations and validation in epilepsy Afnan J; Cai Z; Lina JM; Abdallah C; Delaire E; Avigdor T; Ros V; Hedrich T; von Ellenrieder N; Kobayashi E; Frauscher B; Gotman J; Grova C; 38994740
SOH
6 Introduction to the shared near infrared spectroscopy format Tucker S; Dubb J; Kura S; von Lühmann A; Franke R; Horschig JM; Powell S; Oostenveld R; Lührs M; Delaire É; Aghajan ZM; Yun H; Yücel MA; Fang Q; Huppert TJ; Frederick BB; Pollonini L; Boas D; Luke R; 36507152
ENCS
7 Evaluation of a personalized functional near infra-red optical tomography workflow using maximum entropy on the mean Cai Z; Uji M; Aydin Ü; Pellegrino G; Spilkin A; Delaire É; Abdallah C; Lina JM; Grova C; 34342073
PERFORM

 

Title:NIRSTORM: a Brainstorm extension dedicated to functional near-infrared spectroscopy data analysis, advanced 3D reconstructions, and optimal probe design
Authors:Delaire ÉVincent TCai ZMachado AHugueville LSchwartz DTadel FCassani RBherer LLina JMPélégrini-Issac MGrova C
Link:https://pubmed.ncbi.nlm.nih.gov/40375973/
DOI:10.1117/1.NPh.12.2.025011
Publication:Neurophotonics
Keywords:advanced multimodal integrationconventional functional near-infrared spectroscopy analysisfunctional near-infrared spectroscopynear-infrared optical tomographyoptimal montagetoolbox
PMID:40375973 Category: Date Added:2025-05-16
Dept Affiliation: SOH
1 Concordia University, School of Health, PERFORM Centre, Montréal, Quebec, Canada.
2 Concordia University, Multimodal Functional Imaging Laboratory, Department of Physics, Montréal, Quebec, Canada.
3 Montreal Heart Institute, EPIC Center, Montréal, Quebec, Canada.
4 McGill University, Montreal Neurological Institute, Montreal, Quebec, Canada.
5 McGill University, Multimodal Functional Imaging Laboratory, Biomedical Engineering Department, Neurology and Neurosurgery Department, Montreal, Quebec, Canada.
6 Institut du Cerveau ICM, Centre MEG-EEG, Paris, France.
7 Inserm, CNRS, Centre de Recherche en Neurosciences de Lyon, Lyon, France.
8 Independent Research Engineer, Grenoble, France.
9 McGill University, Montreal Neurological Institute, McConnell Brain Imaging Centre, Montreal, Quebec, Canada.
10 Université de Montréal, Department of Medicine, Montréal, Quebec, Canada.
11 École de Technologie Supérieure, Electrical Engineering Department, Montréal,

Description:

Significance: Understanding the brain's complex functions requires multimodal approaches that combine data from various neuroimaging techniques. Functional near-infrared spectroscopy (fNIRS) offers valuable insights into hemodynamic responses, complementing other modalities such as electroencephalography (EEG), magnetoencephalography (MEG), and magnetic resonance imaging. However, there is a lack of comprehensive and accessible toolboxes able to integrate fNIRS advanced analyses with other modalities. NIRSTORM addresses this gap by offering a unified platform for multimodal neuroimaging analysis.

Aim: NIRSTORM aims to provide a user-friendly and comprehensive environment for multimodal analysis while supporting the entire fNIRS analysis pipeline, from experiment planning to the reconstruction of hemodynamic fluctuations on the cortex.

Approach: Developed in MATLAB®, NIRSTORM operates as a Brainstorm plugin, enhancing Brainstorm's capabilities for analyzing fNIRS data. Brainstorm is a widely used, GUI-based software originally designed for statistical analysis and source imaging of EEG and MEG data.

Results: NIRSTORM supports conventional fNIRS preprocessing and statistical analyses while introducing new advanced features such as optimal montage for planning optode placement and maximum entropy on the mean (MEM) for reconstructing hemodynamic fluctuations on the cortical surface.

Conclusion: As an open-access and user-friendly plugin, NIRSTORM extends Brainstorm's functionality to fNIRS, bridging the gap between EEG/MEG and hemodynamic analyses.





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