Literature DB >> 33709044

Towards Neuroscience of the Everyday World (NEW) using functional Near-Infrared Spectroscopy.

Alexander von Lühmann1,2, Yilei Zheng1,3, Antonio Ortega-Martinez1, Swathi Kiran4, David C Somers5, Alice Cronin-Golomb5, Louis N Awad6, Terry D Ellis6, David A Boas1, Meryem A Yücel1.   

Abstract

Functional Near-Infrared Spectroscopy (fNIRS) assesses human brain activity by noninvasively measuring changes of cerebral hemoglobin concentrations caused by modulation of neuronal activity. Recent progress in signal processing and advances in system design, such as miniaturization, wearability and system sensitivity, have strengthened fNIRS as a viable and cost-effective complement to functional Magnetic Resonance Imaging (fMRI), expanding the repertoire of experimental studies that can be performed by the neuroscience community. The availability of fNIRS and Electroencephalography (EEG) for routine, increasingly unconstrained, and mobile brain imaging is leading towards a new domain that we term "Neuroscience of the Everyday World" (NEW). In this light, we review recent advances in hardware, study design and signal processing, and discuss challenges and future directions towards achieving NEW.

Entities:  

Year:  2021        PMID： 33709044      PMCID： PMC7943029          DOI： 10.1016/j.cobme.2021.100272

Source DB:  PubMed          Journal:  Curr Opin Biomed Eng        ISSN： 2468-4511


  46 in total

1.  Short separation regression improves statistical significance and better localizes the hemodynamic response obtained by near-infrared spectroscopy for tasks with differing autonomic responses.

Authors:  Meryem A Yücel; Juliette Selb; Christopher M Aasted; Mike P Petkov; Lino Becerra; David Borsook; David A Boas
Journal:  Neurophotonics       Date:  2015-09-11       Impact factor: 3.593

2.  A new blind source separation framework for signal analysis and artifact rejection in functional Near-Infrared Spectroscopy.

Authors:  Alexander von Lühmann; Zois Boukouvalas; Klaus-Robert Müller; Tülay Adalı
Journal:  Neuroimage       Date:  2019-06-14       Impact factor: 6.556

3.  Improved recovery of the hemodynamic response in diffuse optical imaging using short optode separations and state-space modeling.

Authors:  Louis Gagnon; Katherine Perdue; Douglas N Greve; Daniel Goldenholz; Gayatri Kaskhedikar; David A Boas
Journal:  Neuroimage       Date:  2011-03-06       Impact factor: 6.556

4.  Functional near infrared spectroscopy (fNIRS) to assess cognitive function in infants in rural Africa.

Authors:  Sarah Lloyd-Fox; M Papademetriou; M K Darboe; N L Everdell; R Wegmuller; A M Prentice; S E Moore; C E Elwell
Journal:  Sci Rep       Date:  2014-04-22       Impact factor: 4.379

5.  Multichannel wearable fNIRS-EEG system for long-term clinical monitoring.

Authors:  Ali Kassab; Jérôme Le Lan; Julie Tremblay; Phetsamone Vannasing; Mahya Dehbozorgi; Philippe Pouliot; Anne Gallagher; Frédéric Lesage; Mohamad Sawan; Dang Khoa Nguyen
Journal:  Hum Brain Mapp       Date:  2017-10-23       Impact factor: 5.038

6.  A novel GLM-based method for the Automatic IDentification of functional Events (AIDE) in fNIRS data recorded in naturalistic environments.

Authors:  Paola Pinti; Arcangelo Merla; Clarisse Aichelburg; Frida Lind; Sarah Power; Elizabeth Swingler; Antonia Hamilton; Sam Gilbert; Paul W Burgess; Ilias Tachtsidis
Journal:  Neuroimage       Date:  2017-05-02       Impact factor: 6.556

7.  High-density diffuse optical tomography for imaging human brain function.

Authors:  Muriah D Wheelock; Joseph P Culver; Adam T Eggebrecht
Journal:  Rev Sci Instrum       Date:  2019-05       Impact factor: 1.523

Review 8.  Does a Combination of Virtual Reality, Neuromodulation and Neuroimaging Provide a Comprehensive Platform for Neurorehabilitation? - A Narrative Review of the Literature.

Authors:  Wei-Peng Teo; Makii Muthalib; Sami Yamin; Ashlee M Hendy; Kelly Bramstedt; Eleftheria Kotsopoulos; Stephane Perrey; Hasan Ayaz
Journal:  Front Hum Neurosci       Date:  2016-06-24       Impact factor: 3.169
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  5 in total

1.  Deep-learning informed Kalman filtering for priori-free and real-time hemodynamics extraction in functional near-infrared spectroscopy.

Authors:  Dongyuan Liu; Yao Zhang; Pengrui Zhang; Tieni Li; Zhiyong Li; Limin Zhang; Feng Gao
Journal:  Biomed Opt Express       Date:  2022-08-15       Impact factor: 3.562

2.  Multivariate Kalman filter regression of confounding physiological signals for real-time classification of fNIRS data.

Authors:  Antonio Ortega-Martinez; Alexander Von Lühmann; Parya Farzam; De'Ja Rogers; Emily M Mugler; David A Boas; Meryem A Yücel
Journal:  Neurophotonics       Date:  2022-06-08       Impact factor: 4.212

3.  Functional near-infrared spectroscopy reveals brain activity on the move.

Authors:  Jill Sakai
Journal:  Proc Natl Acad Sci U S A       Date:  2022-06-16       Impact factor: 12.779

4.  Performance comparison of systemic activity correction in functional near-infrared spectroscopy for methods with and without short distance channels.

Authors:  Franziska Klein; Michael Lührs; Amaia Benitez-Andonegui; Pauline Roehn; Cornelia Kranczioch
Journal:  Neurophotonics       Date:  2022-10-12       Impact factor: 4.212

5.  Investigating Language and Domain-General Processing in Neurotypicals and Individuals With Aphasia - A Functional Near-Infrared Spectroscopy Pilot Study.

Authors:  Natalie Gilmore; Meryem Ayse Yücel; Xinge Li; David A Boas; Swathi Kiran
Journal:  Front Hum Neurosci       Date:  2021-09-17       Impact factor: 3.169
  5 in total

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