Mini Courses

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01Emberson et al.Overcoming the methodological challenges of developmental fNIRSExp. Demo
& Pifferi
Performance assessment and ISO/IEC standards in fNIRS and cerebral oximetryLecture
03Glen FoxNIR and the alcohol beverage industriesLecture
04NIRxAnalytical and experimental consideration in fNIRS: with the focus on toddler and children populationDemo Tech
05ArtinisApplication of wearable fNIRS for robust real-life measurementsDemo Tech
et al.
Time-domain fNIRSDemo Tech
08Stefan CarpDiffuse correlation spectroscopy for measuring cerebral blood flowDemo Tech
09Bale & TachtsidisMonitoring brain metabolism via quantification of oxidation changes in cytochrome-c-oxidase: how and why?Demo Tech
10Gervain & ObrigEEG-NIRS co-registration: challenges and solutionsAnalysis Method
11Orihuela-EspinaTopological analysis of fNIRS neuroimagesAnalysis Method
12Rickson MesquitaFunctional connectivity with fNIRS: from basic to integrated approachesAnalysis Method
13Zinszer & EmbersonMultivariate pattern analysis for fNIRS: advancing from “where in the brain?” to “what’s in the brain?”Analysis Method
14Eggebrecht, DehghaniDiffuse optical mapping of human brain function using NIRFAST and NeuroDOTToolbox
15Boas & YucelHomer3Toolbox
et al.
Introduction to the NIRS Brain AnalyzIR toolboxToolbox
et al.
Advanced topics in the NIRS Brain AnalyzIR toolboxToolbox
et al.
Multimodal topics in the NIRS Brain AnalyzIR toolboxToolbox
19Qianqian FangLight modeling in the brain using Brain2Mesh and MCX/MMCToolbox
20 Thomas ZeffiroStatistical modeling of fNIRS data using the R statistical programming languageToolbox
21Christophe GrovaNIRSTORM: a brainstorm plugin dedicated to fNIRS stat. analysis, 3D reconstructions & optimal probe designToolbox
22Pollonini, Montero HernandezSoftware tools for assessing and enhancing quality of fNIRS experimental measurementsToolbox
23Jaffe-Dax, EmbersonOpen-source method for spatial localization of probe placements in developmental and clinical populationsToolbox

Most Toolboxes mini-courses require you to bring your own laptop with Matlab installed. Matlab is a proprietary software and licenses will not be provided.  If you do not have a copy of MATLAB, please download and install a free trial version prior to the course .

In addition, some mini courses require specific software packages. Links to download these free software will be provided in each course webpage. Make sure to have all the required software installed in your computer before the meeting. If needed we will provide help with installation on Saturday morning in parallel with the general introduction to fNIRS course. Software will not be installed during mini courses.