fNIRS Datablitz 2020 Program

To discuss each presentation we are planning to use the commenting tool at https://fnirs.org/conferences/fnirs-datablitz-2020-chat/ . Recorded sessions are also at the same link.

Hardware Development

Monday October 12 2020, 9:00-10:00 AM EDT

Moderators Adam Lliebert & Rickson Mesquita

Mo1David Boas
Professor, Biomedical Engineering
Director, Neurophotonics Center
Boston University, USA
Neuroimaging in the everyday world
Mo2Rob Cooper
Lecturer, University College London, UK
The promise and practicalities of wearable, high-density DOT in newborns, infants and adults
Mo3Piotr Sawosz
Assistant Professor, Poland Nalecz Institute, Polish Academy of Science, Poland
Multi-channel time-resolved spectroscopy system
Mo4Alessandro Torricelli
Professor, Department of Physics, Politecnico di Milano, Italy
Recent advances in time-domain fNIRS
Mo5Maria Angela Franceschini
Professor, Martinos Center, Massachusetts General Hospital, Harvard Medical School, USA
Neuromonitoring with the next generation of NIRS & DCS devices
Mo6David Busch
Assistant Professor, Department of Anesthesiology & Pain Management, Department of Neurology, University of Texas Southwestern, USA
Diffuse optical monitoring of spinal cord ischemia in large animal models
Mo7Peyman Mirtaheri
Professor, Department of Mechanical, Electronics, and Chemical Engineering, Oslo Metropolitan University, Norway
Ambient light reduction for fNIRS

Cognitive and Social Neuroscience

Monday October 12 2020, 10:00-11:00 AM EDT

Moderators Lauren Emberson & Stephane Perrey

Mo8Joy Hirsch
Elizabeth Mears and House Jameson Professor of Psychiatry, Comparative Medicine & Neuroscience, Yale School of Medicine, USA
Emerging fNIRS-based current and future advances in two-person neuroscience
Mo9Antonia Hamilton
Institute of Cognitive Neuroscience, University College London, UK
Brain mechanisms of mutual prediction in face-to-face social interaction
Mo10Caroline Kelsey
Laboratory of Cognitive Neuroscience, Boston Children’s Hospital, Harvard Medical School, USA
Using fNIRS to assess functional connectivity patterns in newborn infants associated with differences in affect and behavior
Mo11Judit Gervain
CNRS, Paris, France
University of Padua, Italy
NIRS-EEG co-recording: challenges and solutions
Mo12Douglas Hartley
Professor in Otology,  Hearing theme of the NIHR, Nottingham BRC, Nottingham University, UK
Prediction of cochlear implant outcome using fNIRS
Mo13Ursula Wolf
Professor, Institute of Complementary and Integrative Medicine, University of Bern, Switzerland
Color -dependent changes in cerebral hemodynamics, oxygenation, and systemic physiology during a multitask paradigm: A SPA-fNIRS study
Mo14Giuseppe Vannozzi
Assistant Professor, Laboratory of Bioengineering and Neuromechanics of Movement, University of Rome Foro Italico, Italy
Modifications in pre-frontal cortex oxygenation during different walking conditions: an assessment through fNIRS and wearable inertial sensors

Post-Deadline Session

Tuesday October 13 2020, 7:00-8:30 AM EDT

Moderators Sungho Tak & Felipe Orihuela-Espina

Tu13pd1Keum-Shik Hong
Professor, School of Mechanical Engineering
Pusan National University, South Korea
Detection of mild cognitive impairment: Spatiotemporal feature maps of fNIRS
Tu13pd2Yasuyo Minagawa
Professor, Department of Psychology, Keio University, Japan
Typical and atypical neurocognitive development: language and social interaction
Tu13pd3Robert Luke
Dept of Linguistics, Macquarie University, Australia
Introduction to the Brain Imaging Data Structure (BIDS) for fNIRS, and fNIRS data processing with the MNE toolbox
Tu13pd4Ippeita Dan
Professor, Faculty of Science and Engineering, Chuo University, Japan
Empowering fNIRS data with AI
Tu13pd5Haijing Niu
Associate Professor, Beijing Normal University, China
Development of functional network and hemispheric lateralization in children revealed by resting-state fNIRS imaging
Tu13pd6Noman Naseer
Professor, Department of Mechatronics Engineering,
Air University, Islamabad, Pakistan
fNIRS for BCI and Neurorehabilitation
Tu13pd7Hasan Ayaz
Associate Professor, Provost Solutions Fellow, School of Biomedical Engineering, Science and Health Systems, Drexel University, USA
Observing the brain-on-task using fNIRS: Recent neuroergonomic applications
Tu13pd8Stacey Gorniak
Associate Professor,
Director, Center for Neuromotor and Biomechanics Research,
University of Houston, USA
Functional neuroimaging in postmenopausal women with Type II Diabetes
Tu13pd9Christophe Grova
Associate Professor, Department of Physics, PERFORM Centre, Concordia University Montreal, Canada
Accuracy of fNIRS local 3D reconstructions using Maximum Entropy on the Mean: fNIRS response to excitability variations induced by TMS

Data Analysis and Algorithms

Tuesday October 13 2020, 9:00-10:00 AM EDT

Moderators Sabrina Brigadoi & Adam Lliebert

Tu1Rickson Mesquita
Associate Professor, University of Campinas,
Researcher, Brazilian Institute of Neuroscience and Neurotechnology, Brazil
Towards fNIRS reproducibility at the intra- and inter-subject levels
Tu2Adam Noah
Associate Research Scientist, Department of Psychiatry, Yale School of Medicine, USA
Comparison of short-channel separation and spatial domain filtering for removal of systemic components in fNIRS
Tu3Tripp Shealy
Assistant Professor, Department of Civil and Environmental Engineering, Virginia Tech, USA
Temporal network dynamics in the prefrontal cortex during concept generation for engineering design
Tu4Martin Wolf
Professor, University of Zurich, Switzerland
Hyperscanning and systemic physiology
Tu5Michal Balberg
Senior Lecturer, Faculty of Engineering, Holon Institute of Technology, Israel
Artifact detection based on statistical properties
Tu6Felipe Orihuela-Espina
Associate Professor, INAOE, Mexico
Fuzzy sets based analysis of multimodal EEG-fNIRS images
Tu7Antje Ihlefeld
Assistant Professor, Biomedical Engineering, New Jersey Institute of Technology,
Director, Lab for Neural Engineering for Speech & Hearing, USA
Cortical mechanisms of auditory masking

Neurodevelopment and Aging

Tuesday October 13 2020, 10:00-11:00 AM EDT

Moderators Felipe Orihuela-Espina & Ippeita Dan

Tu8Clare Elwell
Professor of Medical Physics,   University College London, UK
Brain imaging for global health
Tu9John Spencer
Professor, School of Psychology,
University of East Anglia, Norwich, UK
Examining the early development of working memory in India using fNIRS and structural MRI
Tu10Lauren Emberson
Assistant Professor, Princeton University, USA
Infant prediction is supported by large-scale functional neural networks
Tu11César Caballero-Gaudes
Group Leader, Basque Center on Cognition, Spain
Mapping cortical functional activity and connectivity in the infant brain using fNIRS: New approaches, methodological considerations and influence of bilingualism
Tu12Heather Bortfeld
Brain and Language
Professor & Chair, Psychological Sciences, Professor, Cognitive and Information Sciences, University of California, Merced, USA
Differential activation of primary and supplementary motor cortex across timing tasks
Tu13Franck Amyot
Research Investigator, National Intrepid Center of Excellence, Walter Reed National Military Medical Center, USA
Assessment of cerebrovascular dysfunction after traumatic brain injury with fMRI and fNIRS
Tu14Martina Mancini
Assistant Professor, Department of Neurology,
Co-Director of the Balance Disorders Laboratory, Oregon Health & Science University, USA
Prefrontal cortex activity and gait in Parkinson’s disease with cholinergic and dopaminergic therapy

Clinical Applications

Wednesday October 14 2020, 9:00-10:00 AM EDT

Moderators David Highton & Ippeita Dan

We1Turgut Durduran
Group Leader, Professor,  ICFO – The Institute of Photonics Sciences, Spain
Hybrid diffuse optical technologies for neuro-monitoring in the clinics
We2David Davies
Clinical Research Fellow, University Hospitals Birmingham, NHS Foundation Trust, UK
Applications of optics in brain trauma care
We3Jeff Dunn
Professor of Radiology, Physiology and Pharmacology, Cumming School of Medicine, University of Calgary, Canada
NIRS as a tool for studying concussion
We4Jana Kainerstorfer
Associate Professor, Department of Biomedical Engineering and Neuroscience Institute, Carnegie Mellon University, USA
Neuro-vascular coupling changes with cerebral perfusion pressure
We5Mamadou Diop
Assistant Professor, Department of Medical Biophysics & Biomedical Engineering, Western University, London, Canada
Hyperspectral time-resolved NIRS in the adult head
We6Colette McKay
Principal Scientist, Bionics Institute, Melbourne, Australia
fNIRS to fill unmet clinical need in audiology clinics
We7Anne Gallagher
Associate Professor, Canada Research Chair in Child Neuropsychology and Brain Imaging, Psychology Department, Université de Montréal, Canada
NIRS predictive markers of neurodevelopment

Software and Hardware

Wednesday October 14 2020, 10:00-11:00 AM EDT

Moderators Rickson Mesquita & Mari Franceschini

We8Theodore Huppert
Associate Professor of Electrical and Computer Engineering, University of Pittsburgh, USA

Recent additions to the NIRS-Toolbox
We9Javier Andreu-Perez
Associate Professor, University of Essex, UK
Computational intelligence in fNIRS data analysis
We10Luca Pollonini
Assistant Professor, Department of Engineering Technology, University of Houston, USA
Assessment of fNIRS data quality at individual and group levels
We11Qianqian Fang
Associate Professor, Northeastern University, Boston, USA
Wearable and modular fNIRS probe
We12Joe Culver
Professor of Radiology, Washington University, St. Louis, MO, USA
Wearable high density diffuse optical tomography
We13Adam Eggebrecht
Assistant Professor, Mallinckrodt Institute of Radiology, Department of Biomedical Engineering, Washington University School of Medicine, St. Louis, USA
Illumination childhood development with high density diffuse optical tomography
We14Stefan Carp
Assistant Professor of Radiology,
Massachusetts General Hospital/Harvard Medical School, USA
Optimization of experimental and computational approaches for cerebral blood flow monitoring

All talks are 4 slides and 5 min long. Each group of 7 talks is followed by 20 minutes of Q&A.