Welcome to the information page of the virtual fNIRS training course. Below you will find details about the schedule and speakers. Feel free to send any further questions you might have to email@example.com.
This training course will provide a solid foundation for early to mid-career academic researchers wishing to implement fNIRS technology within their own research explorations. This event will give attendees a thorough understanding of how to run a successful fNIRS experiment from selecting hypotheses and designing experiments, to analyzing results and publication.
NIRx is honored to have Dr. Sato presenting his background and his transition to working with fNIRS from fMRI. He will also discuss fNIRS studies in naturalistic environments, and the future of the field.
Dr. Pinti will begin her talk discussing fNIRS preprocessing methods. She will then cover common approaches to fNIRS analysis, including block averaging, the general linear model and functional connectivity.
Dr. Brigadoi will give a presentation on optimal probe placement: Atlas tools, ROI analysis and automatic array design software.
Dr. Cutini will discuss the key concepts in designing an fNIRS paradigm. This will include stimulus timing & statistical efficiency and controlling for confounds in cognitive tasks.
Dr. Jessica Gemignani will present on the inclusion of 2nd level covariates in fNIRS studies to better explain observed variance.
Dr. Noman Naseer, a leader in his field with an extensive history of publication, will give an overview of leading fNIRS journals and discuss reviewer expectations regarding methods & results.
All sessions will be hosted on GoToWebinar, attendees will receive links before the sessions via email. NIRx will provide resources (recorded videos, webinars, etc.) leading up to the workshop; these resources will address background knowledge considerations and facilitate the overall flow of the event. Attendees to be given access preparatory material 2 weeks ahead of course start date.
All are welcomed to attend, but please note, those in attendance should have some proficiency in research methods and statistics. The cost of attending this year’s workshop is $200. We do wish to offer accessibility to all who wish to participate, especially in light of current economic conditions. Should you require a discounted attendance rate, please reach out to us at firstname.lastname@example.org.