Oral session – topic 5 (fNIRS data analysis)


October 20, 2021    
9:00 pm - 11:00 pm

Event Type

The time shown below is based on the GMT-0 timezone.

Time Submission No. Title Authors

(Presenter in bold)

UTC/GMT 21:00-21:10 80 First Steps Towards a Validation of Online Systemic Activity Correction Methods in fNIRS With and Without Short Distance Channels Franziska Klein, Amaia Benitez-Andonegui, Michael Lührs, Pauline Roehn and Cornelia Kranczioch
UTC/GMT 21:10-21:20 103 Network based inference and prediction for interacting brains Christian Gerloff, Kerstin Konrad, Danilo Bzdok, Christina Buesing and Vanessa Reindl
UTC/GMT 21:20-21:30 125 Neonatal Head Model Selection for Diffuse Optical Tomography Liam Collins-Jones, Clare Elwell and Robert Cooper
UTC/GMT 21:30-21:40 208 Effects of a range of head tissues optical properties on near-infrared spectroscopy Emanuele Russomanno, Alexander Kalyanov, Jingjing Jiang and Martin Wolf
UTC/GMT 21:40-21:50 113 Benchmarking Framework for Machine Learning with fNIRS Johann Benerradi, Jeremie Clos, Aleksandra Landowska, Michel F. Valstar and Max L. Wilson
UTC/GMT 21:50-22:00 194 Metabolic measures of repetition suppression – An event-related broadband near-infrared spectroscopy study Andrew Levy, Paola Pinti, Maheen Siddiqui, Frederic Lange, Karl Friston and Ilias Tachtsidis
UTC/GMT 22:00-22:10 142 Can teacher’s hemodynamics responses predict student’s during an Interaction task? Candida Barreto, Guilherme Bruneri, Guilherme Brockington, Hasa Ayaz and Joao Ricardo Sato
UTC/GMT 22:10-22:20 11 Effects of Systemic Physiology on fNIRS-based Resting-State Functional Connectivity Androu Abdalmalak, Sergio Novi, Karnig Kazazian, Loretta Norton, Olivia Mercier, Tatiana Benaglia, Marat Slessarev, Derek Debicki, Keith St. Lawrence, Rickson Mesquita and Adrian Owen
UTC/GMT 22:20-22:30 145 Robust Bayesian Gaussian Process for Hemodynamic Response Function Deconvolution and Stimulus Amplitude Decoding Zhengchen Cai, Giovanni Pellegrino, Jean-Marc Lina and Christophe Grova
UTC/GMT 22:30-22:40 155 Tensor Decomposition as a Method to Analyze fNIRS Data Jasmine Chan, Murtadha Hssayeni, Teresa Wilcox and Behnaz Ghoraani
UTC/GMT 22:40-22:50 198 Comparison of Short-Channel Separation and Spatial Filtering for Removal of Non-Neural Components in Functional Near-infrared Spectroscopy Signals Adam Noah, Xian Zhang, Swethasri Dravida, Courtney DiCocco, Tatsuya Suzuki, Richard Aslin, Ilias Tachtsidis and Joy Hirsch
UTC/GMT 22:50-23:00 135 Properly tuned multivariate Kalman filter outperforms real-time regression over the recursive least-squares general linear model Antonio Ortega-Martinez, Alexander von Lühmann, David Boas and Meryem Yucel