PERFORM Publications

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Title		Authors	PubMed ID
1	Tuning Deep Learning for Predicting Aluminum Prices Under Different Sampling: Bayesian Optimization Versus Random Search	Alicia Estefania Antonio Figueroa	41751647 CONCORDIA
2	Optimizing Mixtures of Metal-Organic Frameworks for Robust and Bespoke Passive Atmospheric Water Harvesting	Harriman C; Ke Q; Vlugt TJH; Howarth AJ; Simon CM;	41427123 CHEMBIOCHEM
3	A Deep Learning-Based Ensemble System for Brent and WTI Crude Oil Price Analysis and Prediction	Zhang Y; Lahmiri S;	41294965 JMSB
4	Distinguishing Between Healthy and Unhealthy Newborns Based on Acoustic Features and Deep Learning Neural Networks Tuned by Bayesian Optimization and Random Search Algorithm	Lahmiri S; Tadj C; Gargour C;	41294952 ENCS
5	Robust and Compact Electrostatic Comb Drive Arrays for High-Performance Monolithic Silicon Photonics	Fasihanifard M; Packirisamy M;	41156349 ENCS
6	Cooperative Schemes for Joint Latency and Energy Consumption Minimization in UAV-MEC Networks	Cheng M; He S; Pan Y; Lin M; Zhu WP;	40942666 ENCS
7	Lasso Model-Based Optimization of CNC/CNF/rGO Nanocomposites	Ramezani G; Silva IO; Stiharu I; Ven TGMV; Nerguizian V;	40283268 ENCS
8	What can optimized cost distances based on genetic distances offer? A simulation study on the use and misuse of ResistanceGA	Daniel A; Savary P; Foltête JC; Vuidel G; Faivre B; Garnier S; Khimoun A;	39417711 BIOLOGY
9	Topology optimization of adaptive sandwich plates with magnetorheological core layer for improved vibration attenuation	Zare M; Sedaghati R;	39398530 ENCS
10	Discovery and preclinical development of a therapeutically active nanobody-based chimeric antigen receptor targeting human CD22	McComb S; Arbabi-Ghahroudi M; Hay KA; Keller BA; Faulkes S; Rutherford M; Nguyen T; Shepherd A; Wu C; Marcil A; Aubry A; Hussack G; Pinto DM; Ryan S; Raphael S; van Faassen H; Zafer A; Zhu Q; Maclean S; Chattopadhyay A; Gurnani K; Gilbert R; Gadoury C; Iqbal U; Fatehi D; Jezierski A; Huang J; Pon RA; Sigrist M; Holt RA; Nelson BH; Atkins H; Kekre N; Yung E; Webb J; Nielsen JS; Weeratna RD;	38596311 BIOLOGY
11	Design Optimization of a Hybrid-Driven Soft Surgical Robot with Biomimetic Constraints	Roshanfar M; Dargahi J; Hooshiar A;	38275456 ENCS
12	Alternating direction method of multipliers for displacement estimation in ultrasound strain elastography	Md Ashikuzzaman	38159299 ENCS
13	Lactate's behavioral switch in the brain: An in-silico model	Soltanzadeh M; Blanchard S; Soucy JP; Benali H;	37865309 PERFORM
14	Data-Weighted Multivariate Generalized Gaussian Mixture Model: Application to Point Cloud Robust Registration	Ge B; Najar F; Bouguila N;	37754943 ENCS
15	Design optimization and experimental evaluation of a large capacity magnetorheological damper with annular and radial fluid gaps	Abdalaziz M; Sedaghati R; Vatandoost H;	37521729 ENCS
16	Designing a multi-objective closed-loop supply chain: a two-stage stochastic programming, method applied to the garment industry in Montréal, Canada	Shafiee Roudbari E; Fatemi Ghomi SMT; Eicker U;	36747987 ENCS
17	Optimizing Biodegradable Starch-Based Composite Films Formulation for Wound-Dressing Applications	Delavari MM; Ocampo I; Stiharu I;	36557445 ENCS
18	A flexible robust model for blood supply chain network design problem	Khalilpourazari S; Hashemi Doulabi H;	35474752 ENCS
19	A Proposed Multi-Criteria Optimization Approach to Enhance Clinical Outcomes Evaluation for Diabetes Care: A Commentary	Wan TTH; Matthews S; Luh H; Zeng Y; Wang Z; Yang L;	35372638 ENCS
20	A multiobjective model for the green capacitated location-routing problem considering drivers' satisfaction and time window with uncertain demand	Alamatsaz K; Ahmadi A; Mirzapour Al-E-Hashem SMJ;	34415526 ENCS
21	Optimization of the Electrospun Niobium-Tungsten Oxide Nanofibers Diameter Using Response Surface Methodology	Fatile BO; Pugh M; Medraj M;	34201513 ENCS
22	A robust optimization model for tactical capacity planning in an outpatient setting	Aslani N; Kuzgunkaya O; Vidyarthi N; Terekhov D;	33215335 ENCS
23	Multidisciplinary Design Optimization of a Novel Sandwich Beam-Based Adaptive Tuned Vibration Absorber Featuring Magnetorheological Elastomer.	Asadi Khanouki M, Sedaghati R, Hemmatian M	32422988 ENCS
24	Computer-Aided Diagnosis System of Alzheimer's Disease Based on Multimodal Fusion: Tissue Quantification Based on the Hybrid Fuzzy-Genetic-Possibilistic Model and Discriminative Classification Based on the SVDD Model.	Lazli L, Boukadoum M, Ait Mohamed O	31652635 ENCS
25	Mining Enzyme Diversity of Transcriptome Libraries through DNA Synthesis for Benzylisoquinoline Alkaloid Pathway Optimization in Yeast.	Narcross L, Bourgeois L, Fossati E, Burton E, Martin VJ	27442619 BIOLOGY
26	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]

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