Literature DB >> 27438589

Effective Connectivity of Cortical Sensorimotor Networks During Finger Movement Tasks: A Simultaneous fNIRS, fMRI, EEG Study.

A R Anwar1,2, M Muthalib3,4, S Perrey3, A Galka5, O Granert6, S Wolff7, U Heute1, G Deuschl6, J Raethjen6, Muthuraman Muthuraman8,9.   

Abstract

Recently, interest has been growing to understand the underlying dynamic directional relationship between simultaneously activated regions of the brain during motor task performance. Such directionality analysis (or effective connectivity analysis), based on non-invasive electrophysiological (electroencephalography-EEG) and hemodynamic (functional near infrared spectroscopy-fNIRS; and functional magnetic resonance imaging-fMRI) neuroimaging modalities can provide an estimate of the motor task-related information flow from one brain region to another. Since EEG, fNIRS and fMRI modalities achieve different spatial and temporal resolutions of motor-task related activation in the brain, the aim of this study was to determine the effective connectivity of cortico-cortical sensorimotor networks during finger movement tasks measured by each neuroimaging modality. Nine healthy subjects performed right hand finger movement tasks of different complexity (simple finger tapping-FT, simple finger sequence-SFS, and complex finger sequence-CFS). We focused our observations on three cortical regions of interest (ROIs), namely the contralateral sensorimotor cortex (SMC), the contralateral premotor cortex (PMC) and the contralateral dorsolateral prefrontal cortex (DLPFC). We estimated the effective connectivity between these ROIs using conditional Granger causality (GC) analysis determined from the time series signals measured by fMRI (blood oxygenation level-dependent-BOLD), fNIRS (oxygenated-O2Hb and deoxygenated-HHb hemoglobin), and EEG (scalp and source level analysis) neuroimaging modalities. The effective connectivity analysis showed significant bi-directional information flow between the SMC, PMC, and DLPFC as determined by the EEG (scalp and source), fMRI (BOLD) and fNIRS (O2Hb and HHb) modalities for all three motor tasks. However the source level EEG GC values were significantly greater than the other modalities. In addition, only the source level EEG showed a significantly greater forward than backward information flow between the ROIs. This simultaneous fMRI, fNIRS and EEG study has shown through independent GC analysis of the respective time series that a bi-directional effective connectivity occurs within a cortico-cortical sensorimotor network (SMC, PMC and DLPFC) during finger movement tasks.

Entities:  

Keywords:  Cortical activation; Effective connectivity; Finger movement task; Granger causality; Multimodal neuroimaging; Neurovascular coupling

Mesh:

Year:  2016        PMID: 27438589     DOI: 10.1007/s10548-016-0507-1

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   3.020


  19 in total

1.  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

2.  Effects of Sport Stacking on Neuropsychological, Neurobiological, and Brain Function Performances in Patients With Mild Alzheimer's Disease and Mild Cognitive Impairment: A Randomized Controlled Trial.

Authors:  Ziying Yang; Wenbo Zhang; Dunxiu Liu; Shan-Shan Zhang; Yong Tang; Jiaqi Song; Jinfeng Long; Jun Yang; Hong Jiang; Yaling Li; Xintong Liu; Yang Lü; Fu Ding
Journal:  Front Aging Neurosci       Date:  2022-05-12       Impact factor: 5.702

3.  Translational Model of Cortical Premotor-Motor Networks.

Authors:  Svenja L Kreis; Heiko J Luhmann; Dumitru Ciolac; Sergiu Groppa; Muthuraman Muthuraman
Journal:  Cereb Cortex       Date:  2022-06-07       Impact factor: 4.861

4.  Innovative STRoke Interactive Virtual thErapy (STRIVE) online platform for community-dwelling stroke survivors: a randomised controlled trial protocol.

Authors:  Liam Johnson; Marie-Louise Bird; Makii Muthalib; Wei-Peng Teo
Journal:  BMJ Open       Date:  2018-01-09       Impact factor: 2.692

5.  Effective Connectivity Analysis of the Brain Network in Drivers during Actual Driving Using Near-Infrared Spectroscopy.

Authors:  Zhian Liu; Ming Zhang; Gongcheng Xu; Congcong Huo; Qitao Tan; Zengyong Li; Quan Yuan
Journal:  Front Behav Neurosci       Date:  2017-10-31       Impact factor: 3.558

6.  Anodal Transcranial Direct Current Stimulation Increases Bilateral Directed Brain Connectivity during Motor-Imagery Based Brain-Computer Interface Control.

Authors:  Bryan S Baxter; Bradley J Edelman; Abbas Sohrabpour; Bin He
Journal:  Front Neurosci       Date:  2017-12-07       Impact factor: 4.677

7.  Functional near-infrared spectroscopy for monitoring macaque cerebral motor activity during voluntary movements without head fixation.

Authors:  Toru Yamada; Hiroshi Kawaguchi; Junpei Kato; Keiji Matsuda; Noriyuki Higo
Journal:  Sci Rep       Date:  2018-08-09       Impact factor: 4.379

Review 8.  Data Processing in Functional Near-Infrared Spectroscopy (fNIRS) Motor Control Research.

Authors:  Patrick W Dans; Stevie D Foglia; Aimee J Nelson
Journal:  Brain Sci       Date:  2021-05-09

Review 9.  Functional Magnetic Resonance Imaging and Functional Near-Infrared Spectroscopy: Insights from Combined Recording Studies.

Authors:  Vanessa Scarapicchia; Cassandra Brown; Chantel Mayo; Jodie R Gawryluk
Journal:  Front Hum Neurosci       Date:  2017-08-18       Impact factor: 3.169

10.  Different Hemodynamic Responses of the Primary Motor Cortex Accompanying Eccentric and Concentric Movements: A Functional NIRS Study.

Authors:  Lénaic Borot; Grégoire Vergotte; Stéphane Perrey
Journal:  Brain Sci       Date:  2018-04-24
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