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fNIRS 2022 Posters Sessions

All poster will be available for viewing in GatherTown from Monday October 3 to Wednesday October 12 2022. Here we list the official in-person and poster sessions


Poster Session 1

In-person: Monday October 10 2022 12:00-2:00 PM EDT

PS1_01_304 – Synesthetic V4 activation by achromatic stimuli measured using fNIRS, Linden Williamson, Texas Lutheran University

PS1_02_10 – Wearable fNIRS device for high-density measurement realized by triangular bidirectional optode arrangement, Hiroshi Kawaguchi, National Institute of Advanced Industrial Science and Technology

PS1_03_11 – Improving hemodynamic responses by predicting physiological signals, So-Hyeon Yoo, Pusan National University

PS1_04_13 – Coupling of peripheral and cerebral hemodynamics across wake and light NREM sleep, Vidhya Vijayakrishnan Nair, Purdue University

PS1_05_16 – How much do time domain fNIRS moments improve estimation of brain activity over traditional fNIRS?, Antonio Ortega-Martinez, Boston University

PS1_06_374 – fNIRS Assessment of the Differential Response to Speech and Noise Stimuli in Healthy Adults, Stefan A. Carp, Massachusetts General Hospital

PS1_07_19 – Neural correlates of audio-tactile speech perception, Alina Schulte, Eriksholm Research Center

PS1_08_20 – A 256-Channel SPAD Detector for Time-Gated fNIRS and DCS, Tom Cheng, Massachusetts Institute of Technology

PS1_09_24 – Choosing an optimal wavelength to detect brain activity in functional near infrared spectroscopy, Xiaojun Cheng, Boston University

PS1_10_27 – Moving towards naturalistic infant fNIRS – A Pilot Study, Aleksandra A. W. Dopierala, University of British Columbia

PS1_11_28 – Infant fNIRS brain responses at participant level, Anna Blasi Ribera, University College London

PS1_12_30 – Fast Decoding of Attended Spatial Location during Complex Scene Analysis, Matthew Ning, Boston University

PS1_13_31 – Towards the integration of CW fNIRS and absolute oximetry: A proof of concept, Lin Yang, NIRx Medical Technologies

PS1_14_32 – Towards a fully integrated Smart Textile patch-based cap for multi-distance CW fNIRS whole-head imaging, Christian Bartkowski, NIRx Medical Technologies

PS1_15_33 – Exploration of whole-head CW fNIRS-based intracranial hemorrhage detection: progress and challenges, Alexander von Lühmann, NIRx Medical Technologies

PS1_16_35 – Dont Panic! A Hitchhikers Guide to fNIRS Data Analysis for Block-Design Paradigms, Franziska Klein, Carl von Ossietzky University of Oldenburg

PS1_17_36 – Application of new frequency-domain data types to imaging of tissue in near-infrared spectroscopy, Angelo Sassaroli, Tufts University

PS1_18_38 – Brain in plastic, its fantastic: Cochlear implantation reduces cross-modal neural activity in infants and toddlers with hearing loss, Irene Arrieta, Universidad del País Vasco

PS1_19_39 – Blood Flow Estimation with Diffuse Correlation Spectroscopy to Study Flowrate, Tissue, and Noise Effects, Luis Gomero | Meltem Izzetoglu, Villanova University

PS1_20_40 – Cortical activity evoked by synchronised vs. non-synchronised peer observers as detected with fNIRS, Ryssa Moffat, Macquarie University

PS1_21_42 – Development of Language Networks during Infancy: Evidence from Resting State Functional Connectivity, Ishara Paranawithana, Bionics Institute

PS1_22_45 – Individual Prediction of Transcranial Photobiomodulation on Improving Cognitive Performance: Graph Convolutional Neural Network, Xiujuan Qu, Beijing Normal University

PS1_23_47 – Characterization and detection of intracranial pressure alterations by hybrid diffuse optics in benign external hydrocephalus children, Susanna Tagliabue, ICFO-Institut de Ciències Fotòniques

PS1_24_49 – The PIPKIN study: imaging the neonatal brain in the home setting using high-density diffuse optical tomography, Borja Blanco, University of Cambridge

PS1_25_51 – Examining the relationship between dimensional label learning and executive function, Aaron T. Buss, University of Tennessee

PS1_26_52 – Longitudinal effects of functional plasticity during rehabilitation with fNIRS: a case study, Sergio Luiz Novi Junior, Western University

PS1_27_53 – Functional Brain Measurements with Dual-Slope Frequency-Domain Near-Infrared Spectroscopy, Giles Blaney, Tufts University

PS1_29_57 – Ipsilateral motor control of prosthesis during first use, Kaitlin Fraser, University of Nebraska Omaha

PS1_30_58 – Functional human brain mapping in adults with whole-head ultra-high-density diffuse optical tomography, Morgan Fogarty, Washington University in St. Louis

PS1_31_61 – Implementing high density diffuse optical tomography to measure infant brain function in rural Gambia: a pilot study, Samantha McCann, King’s College London

PS1_32_63 – Utilizing fNIRS to investigate effects of varied thermal increasing rates on offset analgesia hemoglobin responses, Ziyan Wu, Boston Children’s Hospital

PS1_33_64 – High Cognitive Load Needs Greater Brain Signal Variability: A Functional Near Infrared Spectroscopy Study, Hong Li, Beijing Normal University

PS1_34_66 – Age-related Changes in Diffuse Optical Tomography Sensitivity Profiles from Infancy to Adulthood, Xiaoxue Fu, University of South Carolina

PS1_35_67 – Activation of parietal lobe activity during Flow experience, Ryo Takehara, Meiji University

PS1_37_70 – Brain Network Analysis based on Hemodynamic Response during HD-tDCS in Stroke Patients: An fNIRS Study, Gihyoun Lee, Sungkyunkwan University

PS1_38_72 – Upper/lower limbs motor cortex functional activation vs. systemic superficial hemodynamics variations by TD-fNIRS, Michele Lacerenza, Politecnico di Milano

PS1_39_73 – Combined functional diffuse correlation spectroscopy and electroencephalography as a new tool in developmental neuroscience, Fen Zhang, ICFO-Institut de Ciències Fotòniques

PS1_40_74 – Prefrontal cortex activation in preschoolers naturalistic goal management, Paola Pinti, Birkbeck and University College London

PS1_41_75 – Physiological Contamination and Headset Stability during Whole-body Movements: Validation of the MedelOpt® fNIRS System, Emeline Mullier, Université de Lille

PS1_42_76 – Evidence-based methodological recommendations for fNIRS motor paradigms, Marion Vincent, Université de Lille

PS1_43_77 – Cortical Activation during signal leg stance in Alpine skier using fNIRS  A case study, Haroon Khan, OsloMet – storbyuniversitetet

PS1_44_79 – A miniaturized sensor board for enhanced laser safety and data quality assessment for functional near-infrared and diffuse correlation spectroscopy probes, M. Atif Yaqub, ICFO-The Institute of Photonic Sciences

PS1_45_80 – Measuring cognitive flexibility in the infant population with wHD-DOT and eye-tracking, Addison D.N. Billing, Cambridge University

PS1_47_84 – Transcranial Doppler and multimodal optical monitoring of cerebral perfusion during transient hypotension, Leena Shoemaker, Western University

PS1_48_87 – Brain functional connectivity of neonates with hypoxic ischemic encephalopathy post therapeutic hypothermia: a resting-state fNIRS study, Lingkai Tang, Western University

PS1_50_90 – Effects of Psychological Pressure on Working Memory Performance : An fNIRS study, Mako Fujita, Shibaura Institute of Technology

PS1_51_92 – Effects of red blood cell transfusion on cerebral oxygenation and perfusion of preterm neonates, Caterina Amendola, Politecnico di Milano

PS1_52_93 – Longitudinal Associations of Temperament and Resting-state Profiles in Young Children, Jacqueline Sullivan, The University of Tennessee, Knoxville

PS1_53_94 – The efficacy of Functional Near-Infrared Spectroscopy (fNIRS) in assessment of subjects with pigmented skin, Sizwe Zondo, Rhodes University

PS1_54_95 – Implementing immersive virtual reality and wearable fNIRS to test the development of empathy in toddlers, Chiara Bulgarelli, Birkbeck, University of London

PS1_55_96 – Neural and Behavioral Responses to Talking Faces in Noise, Mark Tiede, Haskins Laboratories

PS1_56_97 – Objectifying meaningfulness in activities by measuring prefrontal cortical oxygenation: a pilot study, Ellen Cruyt, University of Ghent

PS1_57_98 – Validating the single-subject reproducibility of the neural correlates of movie viewing/listening in fNIRS, Matthew Kolisnyk, Western University

PS1_58_101 – Diversity, Equity, and Inclusion: Preliminary Results from a Survey of the SfNIRS Community, Meredith Pecukonis, Boston University

PS1_59_102 – Using fNIRS to predict speech understanding outcomes in infants, Samantha C. Harrison, The University of Nottingham

PS1_60_108 – Development of cortical processing of dynamic bodies in infancy, Megumi Kobayashi, Niigata University

PS1_62_110 – Infants brain activity to cartoon faces investigated by functional near-infrared spectroscopy, Nanako Yamanaka, Chuo university

PS1_63_111 – Exploration of brain activation signals related to golf-putting performance under psychological pressure: A functional near-infrared spectroscopy study, Hiroki Sato, Shibaura Institute of Technology

PS1_64_114 – Near-infrared spectroscopy in Dementia: A Systematic Review, Emilia Butters, University of Cambridge

PS1_65_119 – Phantom Limb Therapy Provides Clinical Benefits after Amputation and Targeted Muscle Reinnervation Surgery, Jordan A Borrell, University of Nebraska at Omaha

PS1_66_121 – Diffuse Optical Detection of Intracranial Hypertension in a Piglet Model of Hydrocephalus, Wesley B. Baker, Children’s Hospital of Philadelphia

PS1_67_122 – Alterations in motor cortical connectivity due to short-term immobilization of an upper limb: an FNIRS case study, Arun Karumattu Manattu, University of Nebraska at Omaha

PS1_68_123 – Using fNIRS and TMS to detect and disrupt changes in visual processing of faces, J. Adam Noah, Yale University School of Medicine

PS1_69_125 – Modulation of language-related networks during movie-viewing using whole-head fNIRS, Isabel Nichoson, Haskins and Yale School of Medicine

PS1_70_128 – FNIRS response to Eye-to-eye contact predict ASD using support vector machine learning, xian zhang, Yale university

PS1_72_130 – The reproducibility of infant fNIRS studies: a meta-analytic approach, Jessica Gemignani, University of Padova

PS1_73_131 – Multi-wavelength Multi-distance Diffuse Correlation Spectroscopy System for assessment of premature infants cerebral hemodynamics, Nikola Otic, Massachusetts General Hospital

PS1_74_133 – Detecting Residual and Covert Consciousness Using fNIRS in the Intensive Care Unit, Androu Abdalmalak, Western University

PS1_75_137 – Quantifying Contribution of fNIRS Signal Components during Resting and Hypercapnic States, Pratusha Reddy, Drexel University

PS1_77_139 – Validating fNIRS-based Resting State Functional Connectivity Networks Against fMRI, Karnig Kazazian, Western Univeristy

PS1_78_142 – Localizing the Social Brain Network in Human Infants, Zohreh Soleimani, University of British Columbia

PS1_79_144 – Automatic classification of attentional processing during Stroop task and meditation using fNIRS features, Michael Sommeling, Villanova University

PS1_80_145 – Detecting interpresence is hard. Reports of a finding Wally-paradigm including fNIRS, NUNA and physics, Niclas Kaiser, Umeå University

PS1_81_156 – Surface-based parcellation for longitudinal fNIRS studies, Abigail L. Magee, Washington University in St Louis

PS1_82_163 – Neurovascular coupling in the developing neonatal brain at rest, Wallois Fabrice, Université de Picardie

PS1_83_217 – Mapping brain function during gross motor imitation in children with autism spectrum disorder using high-density diffuse optical tomography, Dalin Yang, Washington University in St. Louis

PS1_84_236 – Neural Underpinnings of Face Processing During Online Video Calling, Uzair Hakim, University College London

PS1_85_240 – Defining regions of interest for fNIRS analyses in the Brain Imaging for Global Health project, Liam H. Collins-Jones, University College London

PS1_86_272 – What is special about being watched? Investigating audience effects using fNIRS, Isla Jones, University College London

PS1_87_274 – Measuring apnea progression and recovery in free divers through a self-calibrated SpO2 measurement, Alexander Ruesch, Carnegie Mellon University

PS1_88_327 – Cortical hypoxia in people with secondary progressive multiple sclerosis: demonstration with multi-wavelength time-domain near-infrared spectroscopy, Frédéric Lange, University College London

PS1_89_340 – Data Quality Assessment for Infant fNIRS Data, Samuel Montero-Hernandez, University of Houston

PS1_90_364 – Resting state cerebral hemodynamics as measured using fNIRS predict problem behaviors in pediatric sleep disordered breathing, Heather Bortfeld, University of California, Merced


Poster Session 2

In-person: Tuesday October 11 2022 12:00-2:00 PM EDT

PS2_01_34 – Can the fNIRS community design a standard cap layout for uniform whole-head HD fNIRS coverage? A discussion., Alexander von Lühmann, Boston University

PS2_02_46 – Empirical evaluation of the effect of structural and physiological heterogeneities of the injured head on diffuse optical measurements, Susanna Tagliabue, ICFO-Institut de Ciències Fotòniques

PS2_03_48 – Cortical responses to social stimuli in infants at elevated likelihood of ASD and/or ADHD: a cross-condition study, Borja Blanco, University of Cambridge

PS2_04_85 – Altered functional connectivity patterns in term newborns with neonatal opioid withdrawal syndrome revealed by resting-state functional near-infrared spectroscopy, Lingkai Tang, Western University

PS2_05_134 – Assessing Residual Awareness in Patients with Disorders of Consciousness Using fNIRS, Androu Abdalmalak, Western University

PS2_06_140 – Assessing cortical responses to median nerve stimulation at the individual subject level: An fNIRS-fMRI comparison, Karnig Kazazian, Western Univeristy

PS2_07_146 – Are systemic physiological measurements necessary for mapping resting-state functional connectivity networks using fNIRS?, Sergio Luiz Novi Junior, Western University

PS2_08_147 – Improving brain sensitivity of diffuse correlation spectroscopy blood flow measurements with a three-layer model, Hongting Zhao, Georgia Institute of Technology

PS2_09_148 – Predicting stimulus informativity: an infant fNIRS-eye-tracking study, Tommaso Ghilardi, Radboud University

PS2_10_149 – A deep learning approach in diagnosing the resting-state of patients with mild cognitive impairment, Min-Kyoung Kang, Pusan National University

PS2_11_150 – Intelligent spatial-temporal feature extraction for high-density FD-fNIRS BCI, Robin Dale, University of Birmingham

PS2_12_151 – 2D image based-CNN Model for Classification of Motion Artifacts in fNIRS, Eunjeong Choi, Korea University

PS2_13_152 – VASCOVID: a hybrid diffuse optical platform for real time assessment of cerebral metabolic rate of oxygen consumption., Marta Zanoletti, ICFO-The institute of photonic sciences

PS2_14_154 – Implementation of BCI-based neurofeedback using fNIRS and VR: A pilot study, Hee Kyong Kim, Korea University

PS2_15_155 – Robust Photogrammetric Scalp Morphology Estimation for Optical Functional Neuroimaging, Abigail L. Magee, Washington University in St Louis

PS2_16_159 – A Review of fNIRS use in Olfactory Research, Natalie Gunasekara, University College London

PS2_17_160 – Broadband NIRS demonstrates the effects of iron deficiency and iron repletion on brain tissue oxygenation and metabolism, Ilias Tachtsidis, University College London

PS2_18_162 – Validating a virtual reality platform for capturing naturalistic neurocognitive developmental differences in children and adults, Paola Pinti, Birkbeck and University College London

PS2_19_164 – Pre-ictal neurovascular activity precedes onset of childhood absence seizure: DC potential shifts and its correlations with hemodynamic activity, Wallois Fabrice, Université de Picardie

PS2_20_166 – Correcting the effects of systemic physiology and motion artifacts on Granger causality analysis, Pradyumna Lanka, University of California, Merced

PS2_21_167 – The Impact of Cortical Oxygenation During Sleep-Disordered Breathing on Cognition: Preliminary Results from Simultaneous Near-Infrared Spectroscopy and Polysomnography Study, Makoto Kawai, Stanford University

PS2_22_169 – Statistically driven surface-based analysis of functional activation in fMRI-fNIRS integration, Augusto Bonilauri, Politecnico di Milano

PS2_23_170 – Data analysis pipeline for estimating blood flow index with a fiber-based speckle contrast optical spectroscopy system, Byungchan Kim, Boston University

PS2_24_171 – Mapping naturalistic listening using HD-DOT, Aahana Bajracharya, Washington University in St.Louis

PS2_25_173 – Comparison of photogrammetry and structured-light 3D scanning for digitizer-free localization of fNIRS channels, Tatsuya Suzuki, Meiji University

PS2_26_174 – Examining functional connectivity patterns in networks relevant to mental health outcomes in early childhood, Soo Lee, Boston Children’s Hospital

PS2_27_175 – Asymmetry of peripheral vascular biomarkers in ischemic stroke patients assessed using NIRS, Yingwei Li, Yanshan University

PS2_28_176 – Deep Learning-based Cerebral Hemodynamic Features Exploration of Thermal Grill Illusion, Chungho Lee, Daegu Gyeongbuk Institute of Science and Technology

PS2_29_177 – Development and Preliminary Testing of a Multi-Wavelength Wearable Diffuse Optical Tomography System, Georgina Leadley, University of Cambridge

PS2_30_178 – Examination of brain signal differences depending on selective attentional states in a dichotic listening task, Takumu Yamaguchi, Shibaura Institute of Technology

PS2_31_179 – Synchronization of brain activity associated with eye contact: Comparison of face-to-face and online communication, Ren Sato, Shibaura Insstitute of Technology

PS2_32_180 – Effects of computer-assisted Cognitive Behavioral Therapy(cCBT) on anxiety and insomnia in patients undergoing functional endoscopic sinus surgery: An exploring study of frontal hemodynamic functions using fNIRS, Yang Yang, First hospital of Shanxi Medical University

PS2_33_181 – Functional Brain Connectivity in Infancy and Cognitive Outcomes at 3 Years, Carly Tiras, Boston Children’s Hospital

PS2_34_182 – Optimizing a two-layer method for hybrid diffuse correlation spectroscopy and frequency-domain diffuse optical spectroscopy cerebral measurements in adults, Rodrigo M. Forti, Children’s Hospital of Philadelphia

PS2_35_183 – Intergroup bias in smile discrimination and mentalizing: A fNIRS study, Ruihan Wu, University College

PS2_36_330 – Computed Tomography Based Head Modeling for High-Density Diffuse Optical tomography, Monalisa Munsi, Washington University School of Medicine

PS2_37_185 – Investigating effects of Modulation Frequency for High Density Diffuse Optical Tomography in Neonates, Weihao Fan, Washington University in St. Louis

PS2_38_186 – Using fNIRS to investigate the neural correlates of distraction in 8-month-old infants, Giulia Serino, University of London

PS2_39_187 – Influence of curvature on the absolute quantification with frequency-domain Diffuse Optical Spectroscopy, Giovani G. Martins, University of Campinas

PS2_40_189 – Investigating Mother-Child Inter-Brain Synchrony with a naturalistic paradigm: An fNIRS hyper scanning study, Efstratia Papoutselou, Nottingham Hearing Biomedical Research Unit

PS2_41_192 – Reproducibility of motor task-based fNIRS and comparison with functional MRI in healthy adults, Nolwenn Jégou, Université de Rennes

PS2_42_193 – Decreased Exercise-Induced Changes in Prefrontal Cortex Hemodynamics are Associated with Depressive Symptoms, James Crum, University College London

PS2_43_195 – Hemodynamics of Speech-evoked Neural Networks in Adults: an fNIRS Study, Yingying Wang, University of Nebraska-Lincoln

PS2_44_196 – Multi-class task classification using functional near-infrared spectroscopy, Danushka Bandara, Fairfield University

PS2_45_197 – A Noise Model for Fiber-based Speckle Contrast Optical Spectroscopy, Sharvari Zilpelwar, Boston University

PS2_46_199 – Do motion artifact correction algorithms correct motion? : direct observation of motion-induced variance after correction., Jihyun Cha, OBELAB Inc.

PS2_47_201 – Assessing the impact of the systemic physiological activity: a multi-paradigm fNIRS study, Michael Lührs, University of Coimbra

PS2_48_202 – Removing the noise in fNIRS signals caused by IR trackers, Musa Talati, University College London

PS2_49_203 – Quantification of the diverse effect of hair and skin properties on fNIRS signal quality, Meryem A Yucel, Boston University

PS2_50_204 – Short-separation Regression Incorporated Diffuse Optical Tomography (SS-DOT), Yuanyuan Gao, Boston University

PS2_51_206 – A Novel FNIRS Task to Measure Implicit Brand Associations, Kazue Hirabayashi, Shiseido Co.,Ltd.

PS2_52_208 – Towards a broadband NIRS devices specification for accurate measurement of cytochrome-c-oxidase, Rachel Hudson, University of Cambridge

PS2_53_211 – Cluster-based random field theory fails to control the family-wise error rate in optical neuroimaging, Brian R. White, MD, PhD, The Children’s Hospital of Philadelphia

PS2_55_214 – Are babies cries already language?, Caroline Nallet, University of Padua

PS2_56_215 – Pre-Registered Protocol: does self-touch causes oxytocinergic changes in cerebral activation?, Sabrina von Au, Deutsche Sporthochschule Köln

PS2_57_216 – Combined eye-tracking, fNIRS, and EEG suggests eye movements impact neural processing during real face viewing, Megan Kelley, Yale School of Medicine

PS2_58_218 – Neuromonitoring of neonatal cardiopulmonary bypass with high-density diffuse optical tomography, Dalin Yang, Washington University in St. Louis

PS2_59_219 – Design considerations for a speckle contrast optical tomography system using cost-efficient multi-mode fiber bundles for human neuroimaging, Chen-Hao P. Lin, Washington University In St. Louis

PS2_60_220 – Neuroscience in the everyday world: Brain correlates of naturalistic discourse in individuals with aphasia, Emily J Braun, Boston University

PS2_61_221 – Increased neural coupling and ratings of subjective connection during face-to-face gaze and harmonious music, Amanda Watts | AZA Stephen Allsop, Yale University

PS2_62_222 – Assessing inhibitory pain mechanisms and neural activity in patients with endometriosis-associated pain, Claire E Lunde, University of Oxford

PS2_63_223 – Where’s The Treasure? Working Memory in Toddlers, Caitie Busch | Megan Rothberg, Boys Town National Research Hospital

PS2_64_224 – Densifying Optodes Montage to Enhance Cerebellar fNIRS, Giulia Rocco, Université Côte d’Azur

PS2_65_225 – Sex Differences in Neural Profiles of Toddlers at Risk for Attention-Deficit Hyperactivity Disorder (ADHD), Haylee Hudson, Boys Town National Research Hospital

PS2_66_227 – Fuzzy neurofeedback induces designed modulation, Mario De Los Santos | Felipe Orihuela Espina, Instituto Nacional de Astrofisica Optica y Electronica

PS2_67_228 – Fast and slow movement-related artifacts in fNIRS signal: what is a viable solution?, De’Ja Rogers, Boston University

PS2_68_229 – Unravelling the stimulus-evoked fNIRS responses in sleeping infants., Gautam Balasubramanian, Bionics Institute

PS2_69_230 – A deep convolutional neural network for estimating HRF with reduction of motion artifacts in fNIRS, Sungho Tak, Korea Basic Science Institute

PS2_70_231 – Brain perfusion diagnostics in patients with ischemic stroke using near-infrared spectroscopy: A case study, Ah-song Jang, Korea university

PS2_71_232 – Improving EEG Source Reconstruction Accuracy Using DOT-derived Spatial Priors, Jiaming Cao, Carnegie Mellon University

PS2_72_9 – Investigating discourse comprehension in individuals with and without acute left hemisphere stroke  an fNIRS pilot study, Hana Kim, Johns Hopkins School of Medicine

PS2_73_243 – Integration of motion sensors with wearable high density diffuse optical tomography, Elisabetta Maria Frijia, University College London

PS2_74_244 – The role of theory of mind in childrens lying behavior: A functional near-infrared spectroscopy (fNIRS) study, Yibiao Liang, University of Massachusetts Boston

PS2_75_245 – Hemodynamic correlates of spoken word production and auditory word comprehension using fNIRS, Lindsay K. Butler, Boston University

PS2_76_247 – Augmented reality system for indicating probe position on the head surface directly above the interested cortical region, Hiroshi Kawaguchi, National Institute of Advanced Industrial Science and Technology

PS2_77_248 – An optical modelling assessment of brain sensitivity in dementia with atrophy, Liam H. Collins-Jones, University College London

PS2_78_249 – High-density, multi-distance fNIRS for improved detection of frontotemporal activation during Verbal Fluency Task, Jessica E Anderson, Boston University

PS2_79_251 – Impact of Neonatal Brain Injury on Neural Functional Activity, Frederic Lange, University College London

PS2_80_253 – Shining Light into Paediatric HIV: HIV Neurocognition and Brain Plasticity in Sub-Saharan Africa: An fNIRS Study, Sizwe Zondo, Rhodes University

PS2_81_259 – The NIRS Brain AnalyzIR Toolbox, Hendrik Santosa, University of Pittsburgh

PS2_82_260 – Multivariate hidden Markov models for decoding activity states in functional near infrared spectroscopy, Timothy P. Nolan, University of Pittsburgh

PS2_83_261 – Learning in Social Interaction: a Multimodal Hyperscanning Study, Sara De Felice, University College London

PS2_84_264 – Using fNIRS to monitor frontal hemodynamic responses during Electroconvulsive Therapy, Jeremy Miller, Department of Psychiatry, University of New Mexico Health Science Center

PS2_85_269 – A simple and robust tool to calculate heart rate from fNIRS data post-hoc, Isla Jones, University College London

PS2_86_271 – High temporal resolution NIRS and DCS measurements at 3 cm separation, Kuan-Cheng Wu, Boston University

PS2_87_284 – Interpersonal fNIRS coherence during social interaction for children with and without autism spectrum disorder, Yigit Topoglu, Drexel University

PS2_88_302 – Associations between resting state functional connectivity and cognitive development during the first two years of life: an fNIRS study of poor Bangladeshi infants, Laura Pirazzoli, Boston Childrens Hospital

PS2_89_343 – Effect of Optode Pressure on Quality of fNIRS Signals, Samuel Montero-Hernandez, University of Houston

PS2_90_353 – Cochlear implant users and normal-hearing listeners have contrasting hemodynamic changes during auditory beat processing despite similar behavioral responses, Ali Rahimpour Jounghani, University of Southern California

 


Poster Session 3

In-person: Wednesday October 12 2022 12:10-2:10 PM EDT

PS3_01_71 – Interbrain Network Analysis during Interactive Cognitive Task Based on fNIRS Hyper-scanning, Gihyoun Lee, Sungkyunkwan University

PS3_02_86 – Comparison of preprocessing pipelines and the variability in neonatal functional connectivity: a resting-state fNIRS study, Lingkai Tang, Western University

PS3_03_99 – Functional connectivity development in Gambian infants over the first 2 years and its relationship with later cognitive flexibility and early growth measures, Chiara Bulgarelli, Birkbeck University

PS3_04_136 – Decoding Movie Identities from Human Brain Activity with High-Density Diffuse Optical Tomography, Zachary E. Markow, Washington University in St. Louis

PS3_05_158 – Comparison of methods for correcting the effects of temporal autocorrelation on resting-state connectivity, Pradyumna Lanka, University of California, Merced

PS3_06_165 – What triggers the interictal epileptic spike? A multimodal multiscale analysis of the dynamic of synaptic and non synaptic neuronal and vascular compartments using electrical and optical measurements, Wallois Fabrice, Université de Picardie

PS3_07_194 – Exercise-Induced Changes in Prefrontal Cortex Hemodynamics are Associated with Chronic Increases in Physical Fitness, James Crum, University College London

PS3_08_238 – Comparing pre-processing pipelines for fNIRS data, Uzair Hakim, University College London

PS3_09_246 – Whole-head high-density diffuse optical tomography in infants, Liam H. Collins-Jones, University College London

PS3_10_250 – Complexity of broadband near infrared spectroscopy signals in term newborn infants relates to outcome following neonatal encephalopathy, Ilias Tachtsidis, University College London

PS3_11_254 – NeuroDOTpy: A Python Neuroimaging Toolbox for DOT, Emma Speh, Washington University in St. Louis

PS3_12_255 – Arousal-linked fluctuations in neural activity and hemodynamics in an awake, behaving non-human primate, Deepa Issar, Carnegie Mellon Universtiy

PS3_13_256 – Brain Activation Location in Young Monolingual and Bilingual Children During Inhibition Executive Functioning Tasks: An Exploratory fNIRS Study, Matthew Cook, Utah State University

PS3_14_258 – Brain space image reconstruction of functional near-infrared spectroscopy (fNIRS) using a novel Bayesian adaptive fused sparse overlapping group lasso (Ba-FSOGL) model, Xuetong Zhai, University of Pittsburgh

PS3_15_262 – How does having a chat change our (neural) experience of watching a movie together?, Sara De Felice, University College London

PS3_16_263 – A novel co-localized optode-electrode design for Multimodal fNIRS-EEG, De’Ja Rogers | W. Joseph O’Brien, Boston University

PS3_17_265 – Exploring the relationship between changes in spare mental capacity and multimodal (psycho)physiological measurements in a multitask environment, Maykel van Miltenburg, Royal Netherlands Aerospace Centre

PS3_18_267 – Using TD-fNIRS to measure hemodynamics during an altered state of consciousness, Katherine Perdue, Kernel

PS3_19_268 – Evaluating the importance of animacy and visual realism in social interactions using fNIRS, Michaela Kent | Eva Deligiannis, Western University

PS3_20_270 – Multivariate vs Bivariate Functional Connectivity with High-Density Diffuse Optical Tomography, Wiete Fehner, Washington University in St. Louis

PS3_22_275 – Investigating neural correlates of social distancing and cognitive load in dynamic real-world tasks, Isla Jones, University College London

PS3_23_276 – NIRS-PPG to assess cerebral vasculature health, Kuan-Cheng Wu, Massachusetts General Hospital

PS3_25_278 – Investigation of cerebral metabolism and hemodynamics during prolonged breath-holds in freedivers, Alexander Ruesch, Carnegie Mellon University

PS3_26_279 – Classification of Multiple Sclerosis using fNIRS features in Machine Learning Framework, Peter Rokowski, Villanova University

PS3_27_280 – A Systematic Review of Optical Monitoring in Neonatal Seizures, Rachel Howard, University College London

PS3_28_287 – NinjaNIRS 2022: Whole-Head, High-Density Wearable fNIRS with EEG Co-Localization, Walker Joseph O’Brien, Boston University

PS3_29_288 – The effects of backchanneling and robot errors on social cognition in realistic human-robot interactions, Yigit Topoglu, Drexel University

PS3_30_289 – Systematic Review of fNIRS Studies Reveals Inconsistent Data Reporting Practices, Alexis McCraw, University of Tennessee

PS3_31_290 – Multistate Time-Multiplexed System for Functional Time-Domain Diffuse Correlation Spectroscopy with SNSPDs, Marco Renna, Massachusetts General Hospital

PS3_32_292 – Coherent Hemodynamics Spectroscopy for Cerebral Autoregulation in the Neurocritical Care Unit, Cristianne Fernandez, Tufts University

PS3_33_296 – Measuring pulsatile blood flow and volume during carotid endarterectomy, Alexander Isaac Zavriyev, Massachusetts General Hospital

PS3_34_297 – Functional near-infrared spectroscopy in virtual reality, Timothy P. Nolan, University of Pittsburgh

PS3_35_298 – Increased intra-hemispheric connectivity at older gestational ages in healthy newborns, Homa Vahidi, Western University

PS3_36_299 – Validation of an auditory cortex localizer task, Hannah Shatzer, Toronto Metropolitan University

PS3_37_300 – FANBIDS: Framework for Analysis of fNIRS with BIDS, Kevin Stubbs, Western University

PS3_38_301 – An on-board fdNIRS instrument with custom ASIC AFE and its validation in multi-distance experiment, Alper Kilic, Tufts University

PS3_39_303 – The Neurobiological Mechanisms Underlying Gestures Role in Mathematical Learning, Amanda Seccia, University of Chicago

PS3_41_305 – Assessment of peripheral and cerebral hemodynamics in sickle cell disease, Brianna Kish, Purdue University

PS3_42_307 – Hyperacusis in Toddlers and Young Children at Risk for ADHD, Kaitlyn Marsh, Boys Town National Research Hospital

PS3_43_308 – Components derived from high-density diffuse optical tomography data during overt motor imitation, Sung Min Park, Washington University in St. Louis

PS3_44_309 – Relating Quality Metrics to Cardiac and Functional Activation, Kevin Stubbs | Homa Vahidi, Western University

PS3_45_310 – The neural correlates of metaphor: An fNIRS Study, Anna Schwartz, Northeastern University

PS3_46_311 – Wireless High-Density Diffuse Optical Tomography at the Intersection of Wearability and Resolution, Hannah DeVore, Washington University in St. Louis

PS3_47_312 – The space-time of effective neural connectivity for fNIRS, Alejandra Rocha Solache, Instituto Nacional de Astrofísica Óptica y Electrónica

PS3_48_313 – Cortical activation during fine motor movement of Parkinsons disease patients using fNIRS, Edgar Guevara, Universidad Autonoma de San Luis Potosi

PS3_49_314 – fNIRS analysis on belief-bias effects in event-related design, Kenta Nakazawa | Kazuma Okamoto, Chuo university

PS3_50_315 – Functional connectivity during subjective audio quality assessments: An fNIRS study, Kazuma Okamoto, Chuo University

PS3_51_316 – The Relationship of Second Language Proficiency and Cortical Activations during Word Translation, Wakana Kawai, Chuo University

PS3_52_317 – Validation study of experimental design of the Go/No-go Association Task using fNIRS, Hikari Tanaka, Chuo University

PS3_54_320 – The neonate brains sensitivity to repetition-based structure: specific to speech?, Caroline Nallet, Washington University in St Louis

PS3_56_322 – The fNIRS Glossary Project, Katharina Stute, Chemnitz University of Technology

PS3_57_323 – Multiwavelength time-resolved NIRS as a tool for intraoperative cerebral perfusion assessment, Anna Gerega, Polish Academy of Sciences

PS3_58_326 – Cross-correlation of cerebral blood flow and oxygenation measured non-invasively in extremely premature infants, John Sunwoo, Massachusetts General Hospital

PS3_59_328 – Predicting English Proficiency of Japanese Learners by Cortical Activation Patterns, Keita Sugizaki | Wakana Kawai, Chuo University

PS3_60_331 – Neonatal brain temperature monitoring based on broadband near-infrared spectroscopy, Frédéric Lange, University College London

PS3_61_334 – Comparison of Live and Virtual Formats for Face Gaze: A Multimodal Investigation, Joy Hirsch, East China Normal University

PS3_62_335 – Simultaneous EEG-fNIRS to explore somatosensory prediction in the premature neonate brain, Anne-Lise Marais, Normandie Université

PS3_63_336 – fNIRS in Educational Research: Perspectives of the first studies in South Africa, Candida da Silva Ferreira Barreto, University of Johannesburg

PS3_64_337 – fNIRS in the Amazon: Data collection in a remote location from an under-studied population, Dan P Dewey, Brigham Young University

PS3_65_339 – Two-in-one system and behavior-specific brain synchrony during cooperative goal-free creation, Mingdi Xu | Yasuyo Minagawa, Keio University (GatherTown October 5 2022, 10:00 AM-12:00 PM EDT)

PS3_66_342 – Inter- and Intra-Region Functional Connectivity in Nonpharmacological Pain Management, Samuel Montero-Hernandez, University of Houston

PS3_67_344 – Accuracy and reliability of diffuse optical tomography resting-state functional connectivity measurements from the Kernel Flow fNIRS system, Mohammad Parsa Oveisi, University of Toronto

PS3_68_345 – Neuroscience in the everyday world: Prefrontal regions associated with single-task and dual-task walking, Jaimie Girnis | Rini Kaplan, Boston University

PS3_69_346 – An fNIRS Platform for Precision Mental Health, Hadi Hosseini, Stanford University

PS3_70_347 – Detection of Low-to-High Level Auditory Processing Using fNIRS Was Associated with Good Outcome in an Unresponsive Patient, Reza Moulavi-Ardakani, Western University

PS3_71_349 – Phantom with two blood-lipid layers that simulate dynamic oxygen saturation changes and improvement to data analysis, Adam Liebert, Polish Academy of Sciences

PS3_72_351 – Revisiting Approximated Optical Properties for Cerebrospinal Fluid for Using the Diffusion Equation in Optical Brain Imaging, Aiden Lewis, Northeastern University

PS3_73_355 – Comparison of Methods for Detecting Motion Artifacts in fNIRS Signals, Samuel Montero-Hernandez, University of Houston

PS3_74_357 – Concurrent associations between parent-infant interactions and cortical selectivity to social auditory and visual stimuli in 5-month-old infants: a preliminary study, Dianna Ilyka, University of Cambridge

PS3_75_358 – Evaluating the Effect of Optical Couplers on fNIRS Light Delivery, Edward Xu, Northeastern University

PS3_76_359 – Personalized EEG/fNIRS: a promising tool to study whole-night sleep in epilepsy, Édouard Delaire, Concordia University

PS3_77_360 – Flexible High-Density NIRS Probe for Real-Time Monitoring of Dermal Hemodynamics, Cameron T. Hanan, University of Houston

PS3_78_361 – Standardization of fNIRS LSL Metadata Structure, Talukdar Raian Ferdous, University of Houston

PS3_79_362 – Neural correlates of Spatial-Numerical Associations in 7 months-old infants, Sabrina Brigadoi, University of Padova

PS3_80_363 – Cortical activation during proprioceptive stimulation and spontaneous movements in infants: Preliminary results, Claudio L Ferre, Boston University

PS3_81_365 – Impact of interrupted schooling on the development of the brains capacity for reading Examining neural systems for reading in Syrian refugee children in Canada, Kaja Jasinska, University of Toronto

PS3_82_366 – A standardized data ecosystem for fNIRS, Stephen Tucker, Boston University

PS3_83_367 – Prefrontal cortex activation predicts impulsiveness in children with sleep disordered breathing, Heather Bortfeld, University of California, Merced

PS3_84_368 – Can fNIRS Serve as Ground Truth for Validation of a Neurally-based, Source Localization Technique? Training Effect Matter!, Ali Rahimpour Jounghani, Stanford University

PS3_86_371 – Denoising fNIRS data using low-frequency time delay analysis: a fMRI-fNIRS study, Alexandra Rene, McLean Hospital

PS3_87_372 – An objective classification of hemodynamically significant patent ductus arteriosus in extremely low gestational age infants based on Echocardiographic data and continuous NIRS monitoring, Alyssa Martin, Massachusetts General Hospital

PS3_88_373 – Comparing Brain Perfusion Sensitivity between Diffuse Correlation Spectroscopy and Speckle Contrast Optical Spectroscopy, Stefan A. Carp, Massachusetts General Hospital

PS3_89_375 – Calibration of diffuse correlation spectroscopy blood flow index with baseline frequency domain diffuse optical spectroscopy, Penaz Parveen Sultana Mohammad, University of South florida

PS3_90_376 – Effects of Extracorporeal Membrane Oxygenation (ECMO) Flow Rate Titration on Cerebral Hemodynamics after Cardiac Arrest: a Case Study in a Pediatric Swine Model, Tiffany S. Ko, Children’s Hospital of Philadelphia


Virtual Poster Session

GatherTown: Friday October 7 2022 8:00-10:00 AM EDT

PSV_01_12 – The Role of Embodiment in Immersive Virtual Reality Learning: An fNIRS Investigation, Jean P. Bodet III, University of Houston

PSV_02_15 – Dose-response relationship of iTBS for prefrontal activation and executive function: A TMS-fNIRS study, Bella B.B. Zhang, The Hong Kong Polytechnic University

PSV_03_18 – A fNIRS Study on Different Problem Solving Strategies, Mevhibe Sarcaolu, Istanbul Medipol University

PSV_04_21 – Prediction of cognitive domains in Alzheimer patients by few fNIRS channels, Hasan Onur Keles, Ankara University

PSV_05_78 – Cortical Activation in Response to Speech in Quiet and amid Noise in Prelingually Deafened Cochlear Implant Users, Yael Zaltz, Tel Aviv University

PSV_06_82 – Developing a Machine Learning Pipeline to Assess the Severity of Hypoxic Ischemic Brain Injury in Newborns, Danai Bili, University College London

PSV_07_107 – Middle Cerebral Artery Stenosis Identification during Mini-Mental State Examination: An fNIRS Validation, Yun-Hsuan chen, Westlake University

PSV_08_112 – LIONirs: flexible Matlab toolbox for fNIRS data analysis, Julie Tremblay | Anne Gallagher, Université de Montréal

PSV_09_116 – Broadband NIRS reveals protection of neuro-vascular and neuro-metabolic coupling by nimodipine in an animal model of cerebral small vessel disease, Zhiyuan Yang, University College London

PSV_10_118 – Changes in cerebral oxygenation and systemic physiology in good, moderate and poor performers of a verbal fluency task under blue light exposure, Hamoon Zohdi, University of Bern

PSV_11_120 – Different light colors do not cause the same effect: Exploring the impact of six colored light exposures on human cerebral hemodynamics and oxygenation, Hamoon Zohdi, University of Bern

PSV_12_153 – Markers of developmental disorders in children aged 6-10 years – a resting state study of oxygenation level of the brain, Margaret Chojak, Maria Curie-Skodowska University

PSV_13_172 – A comparative study on the global topological properties of the human brain at rest with simultaneous fMRI and fNIRS, Victor Sanchez, University of Campinas

PSV_14_188 – Evaluation of the relationship between brain activity and mental workload during brain training games by fNIRS, Keiko FUkuda, Tokyo Metropolitan College of Industrial Technology

PSV_15_209 – Analyzing Classification Performance of fNIRS-BCI for Gait Rehabilitation using Deep Neural Networks, Huma Hamid, Air University

PSV_16_210 – Classifying Inversion and Eversion Ankle Movements using fNIRS-BCI, Iraj Kainat, Air University

PSV_17_233 – LASSO Homotopy-Based Sparse Representation Classification for fNIRS-BCI, Asma Gulraiz, Air University

PSV_18_239 – fNIRS-based Robotic Hand Gripping Control via Machine Learning Classifiers, Jamila Akhter, Air University

PSV_19_241 – Assessment of functional plasticity in children with cerebral palsy in response to robotic-assisted gait training, David Perpetuini, University of Chieti-Pescara

PSV_20_257 – Coupling of neural oscillations, haemodynamics and metabolism in the infant brain, Maheen Siddiqui, University College London

PSV_21_266 – Multidimensional fNIRS Signal Analysis with Canonical Polyadic Decomposition on an Adult Dataset, Terrence M. Barnhardt, Florida Atlantic University

PSV_22_291 – Number and hand action in the brain: An fNIRS study, Mariagrazia Ranzini, University of Padova

PSV_23_83 – Different executive function impairments in medication-naïve children with attention-deficit/hyperactivity disorder comorbid with oppositional defiant disorder and conduct disorder, Ningning Liu, Peking University

PSV_24_324 – Wavelet analysis of cerebral haemodynamic and metabolic changes during cardiac surgery, Kirill Soulov, University of Queensland

PSV_25_325 – A low-cost, smartphone-based instant 3D scanning system for infant fNIRS/DOT applications, Yunjia Xia, University College London

PSV_26_332 – Neural Specificity in Perceiving Catchy Speeches and Its Contribution to Childrens Speech Development, Qinqin Luo, The Chinese University of Hong Kong

PSV_27_348 – Towards an optical simulator for time-domain cerebral tissue oximetry, Aleh Sudakou, Polish Academy of Sciences

PSV_28_352 – Statistical methods in graphs with applications to fNIRS data, Amanda Yumi Ambriola Oku, Universidade Federal do ABC

PSV_29_369 – Using fNIRS to uncover the neural mechanisms of fatigue in older men and women., Oshin Tyagi, Texas A&M University

PSV_30_17 – On the Suitability of fNIRS for Measuring Load in Multiple Resources in the Brain, Emily Doherty, University of Colorado Boulder

PSV_31_129 – Examining neural mechanisms of attentional control in the context of activation and inhibition, Hollis Heim, University of Tennessee, Knoxville

PSV_32_234 – Decoding skeletal muscle force from hemodynamic responses of primary sensorimotor cortex, Hojeong KIm, Daegu Gyeongbuk Institute of Science and Technology

PSV_33_68 – Alterations of Hemodynamic Responses During Motor Learning Induced by High-definition Transcranial Direct Current Stimulation After Stroke: An fNIRS Study, Heegoo Kim, Sunkyunkwan University

PSV_34_109 – Does ‘peekaboo’ attracts infants?, Yuki Tsuji, Chuo University

PSV_35_277 – Feasibility of measuring prefrontal activation using fNIRS during a response inhibition task in Williams syndrome, Emma Condy, National Institute of Mental Health

PSV_36_370 – A modular design approach to build a portable small-animal cerebral blood flow imaging platform, Ria Paul, Indian Institute of Technology Bombay

PSV_37_318 – Study of bimanual coupling effect with functional Near Infrared Spectroscopy, Monica Biggio, Università degli studi di Genova

PSV_38_319 – Comparing motion correction techniques for resting-state functional connectivity analysis in compliant healthy adults, Costanza iester, University of Genoa

PSV_39_321 – Daily variations of resting-state functional Near Infrared Spectroscopy, Laura Bonzano, University of Genoa

PSV_40_273 – Infant and Adult Neural Response to Anthropomorphic Entities during Communicative Acts, Jacqueline Stotler, Florida Atlantic University