Improving Performance in fNIRS Single Trial Analysis: Multidisciplinary Opportunities and Perspective

Advancements in wearable technologies and signal analysis are bringing functional Near-Infrared Spectroscopy (fNIRS) to the forefront of mobile non-invasive brain-computer interface research. As it gains main-stream attention, Diffuse Optical Tomography (DOT), a high-density fNIRS variant, shows gre...

Full description

Saved in:
Bibliographic Details
Published in:The ... International Winter Conference on Brain-Computer Interface pp. 1 - 3
Main Authors: von Luhmann, Alexander, Middell, Eike, Fischer, Thomas, Tesch, Christian, Siddique, Bilal, Zimmermann, Bernhard B., Moradi, Shakiba, Boas, David A., Muller, Klaus-Robert
Format: Conference Proceeding
Language:English
Published: IEEE 24.02.2025
Subjects:
Brain-computer interfaces
classification
DOT
fNIRS
Functional near-infrared spectroscopy
Instruments
Machine learning
Optical imaging
Physiology
physiology removal
single trial analysis
Technological innovation
Tomography
US Department of Transportation
Usability
wearable
ISSN:2572-7672
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract Advancements in wearable technologies and signal analysis are bringing functional Near-Infrared Spectroscopy (fNIRS) to the forefront of mobile non-invasive brain-computer interface research. As it gains main-stream attention, Diffuse Optical Tomography (DOT), a high-density fNIRS variant, shows great promise by enhancing spatial resolution and brain-imaging contrast while maintaining the ease of use and usability of optical brain imaging techniques. However, to fully unlock the potential of mobile fNIRS and DOT, persisting challenges in extracting meaningful task-evoked hemodynamic signals amidst systemic physiological noise must be overcome, particularly for single-trial analyses. We briefly review the recent advances in wearable fNIRS/DOT instrumentation and highlight multidisciplinary opportunities to improve single trial decoding performance by combining advances in wearable DOT instrumentation with model-driven best practices from the fNIRS neuroscience community and data-driven innovations in multimodal machine learning. Finally, we introduce Cedalion, our recently launched open-source Python toolbox for state-of-the-art fNIRS/DOT analysis and multimodal machine learning.
AbstractList Advancements in wearable technologies and signal analysis are bringing functional Near-Infrared Spectroscopy (fNIRS) to the forefront of mobile non-invasive brain-computer interface research. As it gains main-stream attention, Diffuse Optical Tomography (DOT), a high-density fNIRS variant, shows great promise by enhancing spatial resolution and brain-imaging contrast while maintaining the ease of use and usability of optical brain imaging techniques. However, to fully unlock the potential of mobile fNIRS and DOT, persisting challenges in extracting meaningful task-evoked hemodynamic signals amidst systemic physiological noise must be overcome, particularly for single-trial analyses. We briefly review the recent advances in wearable fNIRS/DOT instrumentation and highlight multidisciplinary opportunities to improve single trial decoding performance by combining advances in wearable DOT instrumentation with model-driven best practices from the fNIRS neuroscience community and data-driven innovations in multimodal machine learning. Finally, we introduce Cedalion, our recently launched open-source Python toolbox for state-of-the-art fNIRS/DOT analysis and multimodal machine learning.
Author Muller, Klaus-Robert
von Luhmann, Alexander
Boas, David A.
Moradi, Shakiba
Tesch, Christian
Siddique, Bilal
Fischer, Thomas
Zimmermann, Bernhard B.
Middell, Eike
Author_xml – sequence: 1
  givenname: Alexander
  surname: von Luhmann
  fullname: von Luhmann, Alexander
  email: vonluehmann@tu-berlin.de
  organization: Technical University of Berlin - BIFOLD,Intelligent Biomedical Sensing Lab,Berlin,Germany
– sequence: 2
  givenname: Eike
  surname: Middell
  fullname: Middell, Eike
  email: middell@tu-berlin.de
  organization: Technical University of Berlin - BIFOLD,Intelligent Biomedical Sensing Lab,Berlin,Germany
– sequence: 3
  givenname: Thomas
  surname: Fischer
  fullname: Fischer, Thomas
  email: t.fischer.1@campus.tu-berlin.de
  organization: Technical University of Berlin - BIFOLD,Intelligent Biomedical Sensing Lab,Berlin,Germany
– sequence: 4
  givenname: Christian
  surname: Tesch
  fullname: Tesch, Christian
  email: christian.tesch@tu-berlin.de
  organization: Technical University of Berlin - BIFOLD,Intelligent Biomedical Sensing Lab,Berlin,Germany
– sequence: 5
  givenname: Bilal
  surname: Siddique
  fullname: Siddique, Bilal
  email: bilal.siddique@tu-berlin.de
  organization: Technical University of Berlin - BIFOLD,Intelligent Biomedical Sensing Lab,Berlin,Germany
– sequence: 6
  givenname: Bernhard B.
  surname: Zimmermann
  fullname: Zimmermann, Bernhard B.
  email: bzim@bu.edu
  organization: Boston University,Biomedical Engineering,Boston,USA
– sequence: 7
  givenname: Shakiba
  surname: Moradi
  fullname: Moradi, Shakiba
  email: shakiba.moradi@tu-berlin.de
  organization: Technical University of Berlin - BIFOLD,Intelligent Biomedical Sensing Lab,Berlin,Germany
– sequence: 8
  givenname: David A.
  surname: Boas
  fullname: Boas, David A.
  email: dboas@bu.edu
  organization: Boston University,Biomedical Engineering,Boston,USA
– sequence: 9
  givenname: Klaus-Robert
  surname: Muller
  fullname: Muller, Klaus-Robert
  email: klaus-robert.mueller@tu-berlin.de
  organization: Technical University of Berlin - BIFOLD,Machine Learning Department,Berlin,Germany
BookMark eNo1kN9KwzAYxaMoOOfeQCQv0JkvbZrEuzn8U5hO3LweWfJVIl1akm6wt7eiXhwOnAM_DueSnIU2ICE3wKYATN_ez6tSMKWmnHExHZIcpChOyERLrfIcBAfN9SkZcSF5JkvJL8gkpS_GWA5Ka1aMCFa7LrYHHz7pG8a6jTsTLFIfaP1ava_oamgapOvoTUNnwTTH5NMdfdk3vXc-Wd81Pph4pMuua2O_D773mKgJ7oeXOrS9P-AVOa9Nk3Dy52Py8fiwnj9ni-VTNZ8tMg9S9RlItCXUWFjcCigN43yrDUiT10JrZx1wYQ0DV2glnUNUuC0UmEG1AKPzMbn-5XpE3HTR74Zpm_9n8m86NVu_
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/BCI65088.2025.10931754
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Anatomy & Physiology
EISBN 9798331521929
EISSN 2572-7672
EndPage 3
ExternalDocumentID 10931754
Genre orig-research
GroupedDBID 6IE
6IF
6IL
6IN
AAJGR
AAWTH
ABLEC
ADZIZ
ALMA_UNASSIGNED_HOLDINGS
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CBEJK
CHZPO
IEGSK
OCL
RIE
RIL
ID FETCH-LOGICAL-i178t-17ec61fe4ceb516a022b9a17a3f599dcd125ca01d4987ddee8eb481a481f51a93
IEDL.DBID RIE
ISICitedReferencesCount 0
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001471781800048&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
IngestDate Wed Apr 02 05:44:44 EDT 2025
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i178t-17ec61fe4ceb516a022b9a17a3f599dcd125ca01d4987ddee8eb481a481f51a93
PageCount 3
ParticipantIDs ieee_primary_10931754
PublicationCentury 2000
PublicationDate 2025-Feb.-24
PublicationDateYYYYMMDD 2025-02-24
PublicationDate_xml – month: 02
  year: 2025
  text: 2025-Feb.-24
  day: 24
PublicationDecade 2020
PublicationTitle The ... International Winter Conference on Brain-Computer Interface
PublicationTitleAbbrev BCI
PublicationYear 2025
Publisher IEEE
Publisher_xml – name: IEEE
SSID ssj0003189904
Score 1.900137
Snippet Advancements in wearable technologies and signal analysis are bringing functional Near-Infrared Spectroscopy (fNIRS) to the forefront of mobile non-invasive...
SourceID ieee
SourceType Publisher
StartPage 1
SubjectTerms Brain-computer interfaces
classification
DOT
fNIRS
Functional near-infrared spectroscopy
Instruments
Machine learning
Optical imaging
Physiology
physiology removal
single trial analysis
Technological innovation
Tomography
US Department of Transportation
Usability
wearable
Title Improving Performance in fNIRS Single Trial Analysis: Multidisciplinary Opportunities and Perspective
URI https://ieeexplore.ieee.org/document/10931754
WOSCitedRecordID wos001471781800048&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlZ1LTwIxEMcbIR48-QDjOz0Ybwtbtt12vSmRyAWJYMKN9DFNSLQQHiZ-e9vCgh48eNhks8-k0_Q_nfY3g9Ct0jaVVmSJlJonXvFZUnAGSWaUIGCFYKmKxSZ4rydGo6K_gdUjCwMAcfMZNMJpXMs3U70KobJmSH3k5Y5WUIXzfA1rbQMqvnP6kZVuKGD_aPOx3Y3-h58FtlijfPlXGZWoIp3Df_7_CNV3PB7ub5XmGO2BO0G1B-cnzB9f-A7HbZwxPl5DsA0T4P4OCsATh22v-zrAA3_nHfAwdDxcpiS5xxHE_Yno4pdZcM1XLqZcxdKZ8L0SzKyjt87TsP2cbGopJBPCxTIhHHROLFANipFceulWhSRcZpYVhdHGOzpapsTQQnA_5IEARQWR_rCMyCI7RVU3dXCGsPZWD3gtEJVR8A4Wa1GZMWJsmulc2nNUD003nq3TZYzLVrv44_olOggGipw4vULV5XwF12hffy4ni_lNNPI3OSKqkA
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlZ3PT8IwFMdfFE305A8w_rYH422wspZ13pRIIOIkggk30nWvCQkOgmDif29bN9CDBw9Llv3K0tf0-_raz3sA14nSvtQi8KRUoWcUn3tRyNEL0kRQ1EJwP3HFJsI4FsNh1MthdcfCIKLbfIZVe-rW8tOpWtpQWc2mPjJyxzZhy5bOynGtVUjFdE8ztrKcAzYP1-6bHeeBmHlgnVeL138VUnE60tr75x_sQ2VN5JHeSmsOYAOzQyjfZWbK_PZJbojbyOki5GXAVaCA9NZYABlnRMedlz7pmzsTJAPb9UiRlOSWOBT3J6RLnmfWOV9mLukqkVlqv1egmRV4bT0Mmm0vr6bgjWkoFh4NUTWoRqYw4bQhjXgnkaShDDSPolSlxtVR0qcpi0RoBj0UmDBBpTk0pzIKjqCUTTM8BqKM3S1gizQJGBoXi9eZDDhNtR-ohtQnULFNN5p9J8wYFa12-sf1K9hpD566o24nfjyDXWssR42zcygt5ku8gG31sRi_zy-dwb8AR8Ot2Q
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=The+...+International+Winter+Conference+on+Brain-Computer+Interface&rft.atitle=Improving+Performance+in+fNIRS+Single+Trial+Analysis%3A+Multidisciplinary+Opportunities+and+Perspective&rft.au=von+Luhmann%2C+Alexander&rft.au=Middell%2C+Eike&rft.au=Fischer%2C+Thomas&rft.au=Tesch%2C+Christian&rft.date=2025-02-24&rft.pub=IEEE&rft.eissn=2572-7672&rft.spage=1&rft.epage=3&rft_id=info:doi/10.1109%2FBCI65088.2025.10931754&rft.externalDocID=10931754