Keyword search (4,164 papers available)

"Machado A" Authored Publications:

Title Authors PubMed ID
1 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
2 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
3 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
4 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:Optimal positioning of optodes on the scalp for personalized functional near-infrared spectroscopy investigations.
Authors:Machado A,  Cai Z,  Pellegrino G,  Marcotte O,  Vincent T,  Lina JM,  Kobayashi E,  Grova C
Link:https://www.ncbi.nlm.nih.gov/pubmed/30107210?dopt=Abstract
DOI:10.1016/j.jneumeth.2018.08.006
Publication:Journal of neuroscience methods
Keywords:Diffuse optical tomography;  Functional Near InfraRed Spectroscopy;  Inverse problem;  Optimization;  Personalized optode montages; 
PMID:30107210 Category:J Neurosci Methods Date Added:2019-06-04
Dept Affiliation: PERFORM
1 Multimodal Functional Imaging Laboratory, Biomedical Engineering Department, McGill University, Canada. Electronic address: alexis.machado@mail.mcgill.ca.
2 Physics Department and PERFORM center, Concordia University, Montreal, Canada.
3 Multimodal Functional Imaging Laboratory, Biomedical Engineering Department, McGill University, Canada; IRCCS Fondazione Ospedale San Camillo Via Alberoni, Venice, Italy.
4 GERAD, École des HEC, Montréal, Canada; Département d'informatique, Université du Québec à Montréal, Canada; Centre de Recherches Mathématiques, Université de Montréal, Québec, Canada.
5 École de technologie supérieure de l'Université du Québec, Canada; Centre de Recherches Mathématiques, Université de Montréal, Québec, Canada.
6 Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Canada.
7 Multimodal Functional Imaging Laboratory, Biomedical Engineering Department, McGill University, Canada; Physics Department and PERFORM center, Concordia University, Montreal, Canada; Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Canada; Centre de Recherches Mathématiques, Université de Montréal, Québec, Canada.

Description:

Optimal positioning of optodes on the scalp for personalized functional near-infrared spectroscopy investigations.

J Neurosci Methods. 2018 Nov 01;309:91-108

Authors: Machado A, Cai Z, Pellegrino G, Marcotte O, Vincent T, Lina JM, Kobayashi E, Grova C

Abstract

BACKGROUND: Application of functional Near InfraRed Spectroscopy (fNIRS) in neurology is still limited as a good optical coupling and optimized optode coverage of specific brain regions remains challenging, notably for prolonged monitoring.

METHODS: We propose to evaluate a new procedure allowing accurate investigation of specific brain regions. The procedure consists in: (i) A priori maximization of spatial sensitivity of fNIRS measurements targeting specific brain regions, while reducing the number of applied optodes in order to decrease installation time and improve subject comfort. (ii) Utilization of a 3D neuronavigation device and usage of collodion to glue optodes on the scalp, ensuring good optical contact for prolonged investigations. (iii) Local reconstruction of the hemodynamic activity along the cortical surface using inverse modelling.

RESULTS: Using realistic simulations, we demonstrated that maps derived from optimal montage acquisitions showed, after reconstruction, spatial resolution only slightly lower to that of ultra high density montages while significantly reducing the number of optodes. The optimal montages provided overall good quantitative accuracy especially at the peak of the spatially reconstructed map. We also evaluated real motor responses in two healthy subjects and obtained reproducible motor responses over different sessions.

COMPARISON WITH EXISTING METHODS: We are among the first to propose a mathematical optimization strategy, allowing high sensitivity measurements.

CONCLUSIONS: Our results support that using personalized optimal montages should allow to conduct accurate fNIRS studies in clinical settings and realistic lifestyle conditions.

PMID: 30107210 [PubMed - in process]




BookR developed by Sriram Narayanan
for the Concordia University School of Health
Copyright © 2011-2026
Cookie settings
Concordia University