Literature DB >> 25253050

Hemodynamic and EEG Time-Courses During Unilateral Hand Movement in Patients with Cortical Myoclonus. An EEG-fMRI and EEG-TD-fNIRS Study.

E Visani1, L Canafoglia2, I Gilioli2, D Rossi Sebastiano2, V E Contarino3, D Duran2, F Panzica2, R Cubeddu4, D Contini4, L Zucchelli4, L Spinelli5, M Caffini6, E Molteni6, A M Bianchi6, S Cerutti6, S Franceschetti2, A Torricelli4.   

Abstract

Multimodal human brain mapping has been proposed as an integrated approach capable of improving the recognition of the cortical correlates of specific neurological functions. We used simultaneous EEG-fMRI (functional magnetic resonance imaging) and EEG-TD-fNIRS (time domain functional near-infrared spectroscopy) recordings to compare different hemodynamic methods with changes in EEG in ten patients with progressive myoclonic epilepsy and 12 healthy controls. We evaluated O2Hb, HHb and Blood oxygen level-dependent (BOLD) changes and event-related desynchronization/synchronization (ERD/ERS) in the α and β bands of all of the subjects while they performed a simple motor task. The general linear model was used to obtain comparable fMRI and TD-fNIRS activation maps. We also analyzed cortical thickness in order to evaluate any structural changes. In the patients, the TD-NIRS and fMRI data significantly correlated and showed a significant lessening of the increase in O2Hb and the decrease in BOLD. The post-movement β rebound was minimal or absent in patients. Cortical thickness was moderately reduced in the motor area of the patients and correlated with the reduction in the hemodynamic signals. The fMRI and TD-NIRS results were consistent, significantly correlated and showed smaller hemodynamic changes in the patients. This finding may be partially attributable to mild cortical thickening. However, cortical hyperexcitability, which is known to generate myoclonic jerks and probably accounts for the lack of EEG β-ERS, did not reflect any increased energy requirement. We hypothesize that this is due to a loss of inhibitory neuronal components that typically fire at high frequencies.

Entities:  

Keywords:  EEG-fMRI; Multimodal mapping; Myoclonus; Time domain fNIRS

Mesh:

Substances:

Year:  2014        PMID: 25253050     DOI: 10.1007/s10548-014-0402-6

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


  8 in total

1.  Linear regression models and k-means clustering for statistical analysis of fNIRS data.

Authors:  Viola Bonomini; Lucia Zucchelli; Rebecca Re; Francesca Ieva; Lorenzo Spinelli; Davide Contini; Anna Paganoni; Alessandro Torricelli
Journal:  Biomed Opt Express       Date:  2015-01-28       Impact factor: 3.732

Review 2.  Simultaneous functional near-infrared spectroscopy and electroencephalography for monitoring of human brain activity and oxygenation: a review.

Authors:  Antonio M Chiarelli; Filippo Zappasodi; Francesco Di Pompeo; Arcangelo Merla
Journal:  Neurophotonics       Date:  2017-08-22       Impact factor: 3.593

Review 3.  Hybrid Brain-Computer Interface Techniques for Improved Classification Accuracy and Increased Number of Commands: A Review.

Authors:  Keum-Shik Hong; Muhammad Jawad Khan
Journal:  Front Neurorobot       Date:  2017-07-24       Impact factor: 2.650

4.  Neurophysiological and BOLD signal uncoupling of giant somatosensory evoked potentials in progressive myoclonic epilepsy: a case-series study.

Authors:  Silvia F Storti; Alessandra Del Felice; Laura Canafoglia; Emanuela Formaggio; Francesco Brigo; Franco Alessandrini; Luigi G Bongiovanni; Gloria Menegaz; Paolo Manganotti
Journal:  Sci Rep       Date:  2017-03-15       Impact factor: 4.379

5.  Co-localization of theta-band activity and hemodynamic responses during face perception: simultaneous electroencephalography and functional near-infrared spectroscopy recordings.

Authors:  Swethasri Dravida; Yumie Ono; J Adam Noah; Xian Zhang; Joy Hirsch
Journal:  Neurophotonics       Date:  2019-10-22       Impact factor: 3.593

6.  Mapping cortical network effects of fatigue during a handgrip task by functional near-infrared spectroscopy in physically active and inactive subjects.

Authors:  Elizabeth L Urquhart; Hashini I Wanniarachchi; Xinlong Wang; Hanli Liu; Paul J Fadel; George Alexandrakis
Journal:  Neurophotonics       Date:  2019-12-10       Impact factor: 3.593

Review 7.  Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces.

Authors:  Keum-Shik Hong; M Jawad Khan; Melissa J Hong
Journal:  Front Hum Neurosci       Date:  2018-06-28       Impact factor: 3.169

8.  Differences in Net Information Flow and Dynamic Connectivity Metrics Between Physically Active and Inactive Subjects Measured by Functional Near-Infrared Spectroscopy (fNIRS) During a Fatiguing Handgrip Task.

Authors:  Elizabeth L Urquhart; Xinlong Wang; Hanli Liu; Paul J Fadel; George Alexandrakis
Journal:  Front Neurosci       Date:  2020-03-10       Impact factor: 4.677

  8 in total

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