Literature DB >> 23792984

A NIRS-fMRI investigation of prefrontal cortex activity during a working memory task.

Hiroki Sato1, Noriaki Yahata, Tsukasa Funane, Ryu Takizawa, Takusige Katura, Hirokazu Atsumori, Yukika Nishimura, Akihide Kinoshita, Masashi Kiguchi, Hideaki Koizumi, Masato Fukuda, Kiyoto Kasai.   

Abstract

Near-infrared spectroscopy (NIRS) is commonly used for studying human brain function. However, several studies have shown that superficial hemodynamic changes such as skin blood flow can affect the prefrontal NIRS hemoglobin (Hb) signals. To examine the criterion-related validity of prefrontal NIRS-Hb signals, we focused on the functional signals during a working memory (WM) task and investigated their similarity with blood-oxygen-level-dependent (BOLD) signals simultaneously measured by functional magnetic resonance imaging (fMRI). We also measured the skin blood flow with a laser Doppler flowmeter (LDF) at the same time to examine the effect of superficial hemodynamic changes on the NIRS-Hb signals. Correlation analysis demonstrated that temporal changes in the prefrontal NIRS-Hb signals in the activation area were significantly correlated with the BOLD signals in the gray matter rather than those in the soft tissue or the LDF signals. While care must be taken when comparing the NIRS-Hb signal with the extracranial BOLD or LDF signals, these results suggest that the NIRS-Hb signal mainly reflects hemodynamic changes in the gray matter. Moreover, the amplitudes of the task-related responses of the NIRS-Hb signals were significantly correlated with the BOLD signals in the gray matter across participants, which means participants with a stronger NIRS-Hb response showed a stronger BOLD response. These results thus provide supportive evidence that NIRS can be used to measure hemodynamic signals originating from prefrontal cortex activation.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Blood oxygenation level dependent (BOLD); Finger tapping; Functional magnetic resonance imaging (fMRI); Hemoglobin; Near-infrared spectroscopy (NIRS); Optical topography; Prefrontal cortex; Simultaneous measurement; Working memory

Mesh:

Year:  2013        PMID: 23792984     DOI: 10.1016/j.neuroimage.2013.06.043

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  94 in total

1.  Concurrent fNIRS-fMRI measurement to validate a method for separating deep and shallow fNIRS signals by using multidistance optodes.

Authors:  Tsukasa Funane; Hiroki Sato; Noriaki Yahata; Ryu Takizawa; Yukika Nishimura; Akihide Kinoshita; Takusige Katura; Hirokazu Atsumori; Masato Fukuda; Kiyoto Kasai; Hideaki Koizumi; Masashi Kiguchi
Journal:  Neurophotonics       Date:  2015-02-04       Impact factor: 3.593

2.  Assessment of mental stress effects on prefrontal cortical activities using canonical correlation analysis: an fNIRS-EEG study.

Authors:  Fares Al-Shargie; Tong Boon Tang; Masashi Kiguchi
Journal:  Biomed Opt Express       Date:  2017-04-19       Impact factor: 3.732

3.  Prefrontal activation during Stroop and Wisconsin card sort tasks in children with developmental coordination disorder: a NIRS study.

Authors:  Jennifer K Lange Koch; Helga Miguel; Ann L Smiley-Oyen
Journal:  Exp Brain Res       Date:  2018-08-18       Impact factor: 1.972

4.  Task-based neurofeedback training: A novel approach toward training executive functions.

Authors:  S M Hadi Hosseini; Mika Pritchard-Berman; Natasha Sosa; Angelica Ceja; Shelli R Kesler
Journal:  Neuroimage       Date:  2016-03-22       Impact factor: 6.556

5.  Prefrontal Activation During Executive Tasks Emerges Over Early Childhood: Evidence From Functional Near Infrared Spectroscopy.

Authors:  Elizabeth Smith; Afrouz Anderson; Audrey Thurm; Philip Shaw; Mika Maeda; Fatima Chowdhry; Victor Chernomordik; Amir Gandjbakhche
Journal:  Dev Neuropsychol       Date:  2017-06-16       Impact factor: 2.253

Review 6.  A Systematic Review of the Application of Functional Near-Infrared Spectroscopy to the Study of Cerebral Hemodynamics in Healthy Aging.

Authors:  Michael K Yeung; Agnes S Chan
Journal:  Neuropsychol Rev       Date:  2020-09-22       Impact factor: 7.444

7.  Dynamics of the human brain network revealed by time-frequency effective connectivity in fNIRS.

Authors:  Grégoire Vergotte; Kjerstin Torre; Venkata Chaitanya Chirumamilla; Abdul Rauf Anwar; Sergiu Groppa; Stéphane Perrey; Muthuraman Muthuraman
Journal:  Biomed Opt Express       Date:  2017-10-30       Impact factor: 3.732

8.  Validation of brain-derived signals in near-infrared spectroscopy through multivoxel analysis of concurrent functional magnetic resonance imaging.

Authors:  Yoshiya Moriguchi; Takamasa Noda; Kosei Nakayashiki; Yohei Takata; Shiori Setoyama; Shingo Kawasaki; Yoshihiko Kunisato; Kazuo Mishima; Kazuyuki Nakagome; Takashi Hanakawa
Journal:  Hum Brain Mapp       Date:  2017-07-19       Impact factor: 5.038

9.  Validating a new methodology for optical probe design and image registration in fNIRS studies.

Authors:  Sobanawartiny Wijeakumar; John P Spencer; Kevin Bohache; David A Boas; Vincent A Magnotta
Journal:  Neuroimage       Date:  2015-02-01       Impact factor: 6.556

10.  Mapping distributed brain function and networks with diffuse optical tomography.

Authors:  Adam T Eggebrecht; Silvina L Ferradal; Amy Robichaux-Viehoever; Mahlega S Hassanpour; Hamid Dehghani; Abraham Z Snyder; Tamara Hershey; Joseph P Culver
Journal:  Nat Photonics       Date:  2014-06       Impact factor: 38.771

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