Literature DB >> 15614994

Low-resolution electromagnetic tomography neurofeedback.

Marco Congedo1, Joel F Lubar, David Joffe.   

Abstract

Through continuous feedback of the electroencephalogram (EEG) humans can learn how to shape their brain electrical activity in a desired direction. The technique is known as EEG biofeedback, or neurofeedback, and has been used since the late 1960s in research and clinical applications. A major limitation of neurofeedback relates to the limited information provided by a single or small number of electrodes placed on the scalp. We establish a method for extracting and feeding back intracranial current density and we carry out an experimental study to ascertain the ability of the participants to drive their own EEG power in a desired direction. To derive current density within the brain volume, we used the low-resolution electromagnetic tomography (LORETA). Six undergraduate students (three males, three females) underwent tomographic neurofeedback (based on 19 electrodes placed according to the 10-20 system) to enhance the current density power ratio between the frequency bands beta (16-20 Hz) and alpha (8-10 Hz). According to LORETA modeling, the region of interest corresponded to the Anterior Cingulate (cognitive division). The protocol was designed to improve the performance of the subjects on the dimension of sustained attention. Two hypotheses were tested: 1) that the beta/alpha current density power ratio increased over sessions and 2) that by the end of the training subjects acquired the ability of increasing that ratio at will. Both hypotheses received substantial experimental support in this study. This is the first application of an EEG inverse solution to neurofeedback. Possible applications of the technique include the treatment of epileptic foci, the rehabilitation of specific brain regions damaged as a consequence of traumatic brain injury and, in general, the training of any spatial specific cortical electrical activity. These findings may also have relevant consequences for the development of brain-computer interfaces.

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Year:  2004        PMID: 15614994     DOI: 10.1109/TNSRE.2004.840492

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  21 in total

1.  Electroencephalography (EEG)-based neurofeedback training for brain-computer interface (BCI).

Authors:  Kyuwan Choi
Journal:  Exp Brain Res       Date:  2013-09-26       Impact factor: 1.972

Review 2.  Closed-loop brain training: the science of neurofeedback.

Authors:  Ranganatha Sitaram; Tomas Ros; Luke Stoeckel; Sven Haller; Frank Scharnowski; Jarrod Lewis-Peacock; Nikolaus Weiskopf; Maria Laura Blefari; Mohit Rana; Ethan Oblak; Niels Birbaumer; James Sulzer
Journal:  Nat Rev Neurosci       Date:  2016-12-22       Impact factor: 34.870

3.  Noninvasive Brain-Computer Interfaces Based on Sensorimotor Rhythms.

Authors:  Bin He; Bryan Baxter; Bradley J Edelman; Christopher C Cline; Wendy Ye
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2015-05-20       Impact factor: 10.961

Review 4.  Process-based framework for precise neuromodulation.

Authors:  Nitzan Lubianiker; Noam Goldway; Tom Fruchtman-Steinbok; Christian Paret; Jacob N Keynan; Neomi Singer; Avihay Cohen; Kathrin Cohen Kadosh; David E J Linden; Talma Hendler
Journal:  Nat Hum Behav       Date:  2019-04-15

5.  Cross-Cultural Brain Activity Differences Between True and Sham Acupuncture for Xerostomia During Head and Neck Cancer Radiotherapy.

Authors:  Sarah Prinsloo; David I Rosenthal; Mary Kay Garcia; Zhiqiang Meng; Lorenzo Cohen
Journal:  Integr Cancer Ther       Date:  2022 Jan-Dec       Impact factor: 3.077

6.  Functional dissociation of ongoing oscillatory brain states.

Authors:  Neda Salari; Christian Büchel; Michael Rose
Journal:  PLoS One       Date:  2012-05-30       Impact factor: 3.240

Review 7.  EEG biofeedback as a treatment for substance use disorders: review, rating of efficacy, and recommendations for further research.

Authors:  Tato M Sokhadze; Rex L Cannon; David L Trudeau
Journal:  Appl Psychophysiol Biofeedback       Date:  2008-01-24

8.  Source-based neurofeedback methods using EEG recordings: training altered brain activity in a functional brain source derived from blind source separation.

Authors:  David J White; Marco Congedo; Joseph Ciorciari
Journal:  Front Behav Neurosci       Date:  2014-10-22       Impact factor: 3.558

Review 9.  Neuroplasticity in Human Alcoholism: Studies of Extended Abstinence with Potential Treatment Implications.

Authors:  George Fein; Valerie A Cardenas
Journal:  Alcohol Res       Date:  2015

10.  A brain-computer-interface for the detection and modulation of gamma band activity.

Authors:  Neda Salari; Michael Rose
Journal:  Brain Sci       Date:  2013-11-18
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