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PubMed Publications| Keyword search (4,163 papers available) |  |
"Cai Z" Authored Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | 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 |
| 2 | 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 |
| 3 | Combating childhood overweight and obesity: The role of Olympic Movement and bodily movement | Tam BT; Wan K; Santosa S; Cai Z; | 39991475 SOH |
| 4 | Alzheimer's Imaging Consortium | Soucy JP; Belasso CJ; Cai Z; Bezgin G; Stevenson J; Rahmouni N; Tissot C; Lussier FZ; Rosa-Neto P; Rivaz HJ; Benali H; | 39782975 CONCORDIA |
| 5 | Biomarkers | Soucy JP; Belasso CJ; Cai Z; Bezgin G; Stevenson J; Rahmouni N; Tissot C; Lussier FZ; Rosa-Neto P; Rivaz HJ; Benali H; | 39784152 CONCORDIA |
| 6 | 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 |
| 7 | Consistency of electrical source imaging in presurgical evaluation of epilepsy across different vigilance states | Avigdor T; Abdallah C; Afnan J; Cai Z; Rammal S; Grova C; Frauscher B; | 38217279 PERFORM |
| 8 | Bayesian workflow for the investigation of hierarchical classification models from tau-PET and structural MRI data across the Alzheimer's disease spectrum | Belasso CJ; Cai Z; Bezgin G; Pascoal T; Stevenson J; Rahmouni N; Tissot C; Lussier F; Rosa-Neto P; Soucy JP; Rivaz H; Benali H; | 37920382 PERFORM |
| 9 | Validating MEG source imaging of resting state oscillatory patterns with an intracranial EEG atlas | Afnan J; von Ellenrieder N; Lina JM; Pellegrino G; Arcara G; Cai Z; Hedrich T; Abdallah C; Khajehpour H; Frauscher B; Gotman J; Grova C; | 37149236 PERFORM |
| 10 | Hierarchical Bayesian modeling of the relationship between task-related hemodynamic responses and cortical excitability | Cai Z; Pellegrino G; Lina JM; Benali H; Grova C; | 36250709 PERFORM |
| 11 | 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 |
| 12 | Deconvolution of hemodynamic responses along the cortical surface using personalized functional near infrared spectroscopy | Machado A; Cai Z; Vincent T; Pellegrino G; Lina JM; Kobayashi E; Grova C; | 33727581 PERFORM |
| 13 | The movement time analyser task investigated with functional near infrared spectroscopy: an ecologic approach for measuring hemodynamic response in the motor system. | Vasta R, Cerasa A, Gramigna V, Augimeri A, Olivadese G, Pellegrino G, Martino I, Machado A, Cai Z, Caracciolo M, Grova C, Quattrone A | 27055849 PERFORM |
| 14 | Optimal positioning of optodes on the scalp for personalized functional near-infrared spectroscopy investigations. | Machado A, Cai Z, Pellegrino G, Marcotte O, Vincent T, Lina JM, Kobayashi E, Grova C | 30107210 PERFORM |
| Title: | NIRSTORM: a Brainstorm extension dedicated to functional near-infrared spectroscopy data analysis, advanced 3D reconstructions, and optimal probe design | ||||
| Authors: | 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 | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/40375973/ | ||||
| DOI: | 10.1117/1.NPh.12.2.025011 | ||||
| Publication: | Neurophotonics | ||||
| Keywords: | advanced multimodal integration; conventional functional near-infrared spectroscopy analysis; functional near-infrared spectroscopy; near-infrared optical tomography; optimal montage; toolbox; | ||||
| 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, |
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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. |
