Neurofeedback treatment of pseudoseizure disorder

Swingle, Paul G.

doi:10.1016/s0006-3223(97)00541-6

Cited by 37 publications

(12 citation statements)

References 12 publications

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“…The Neurofeedack protocol was designed to enhance low beta (16)(17)(18)(19)(20) and suppress low alpha (8-10 Hz) current density amplitude (vector length) in a region corresponding approximately to the anterior cingulate cognitive division (ACcd). Hereafter, we will refer to the protocol using the symbol .…”

Section: Protocolmentioning

confidence: 99%

“…Clinical applications of neurofeedback have received much attention. Several successful protocols have been established for the treatment of attention deficit disorder [4]- [10], unipolar depression [11], and epilepsy [12]- [16]. Research is currently in progress relating to such disorders as traumatic brain injury [17], anxiety disorders [18], and chronic fatigue syndrome [19].…”

Section: Introductionmentioning

confidence: 99%

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Low-resolution electromagnetic tomography neurofeedback

Congedo

Lubar

Joffe

2004

IEEE Trans. Neural Syst. Rehabil. Eng.

115

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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 (16-20 Hz) and (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 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.Index Terms-Brain-computer interfaces (BCI), electroencephalogram (EEG) biofeedback, electromagnetic tomography, inverse solution, low-resolution electromagnetic tomography (LORETA), neurofeedback, -value combination.

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Section: Protocolmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Low-resolution electromagnetic tomography neurofeedback

Congedo

Lubar

Joffe

2004

IEEE Trans. Neural Syst. Rehabil. Eng.

115

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“…The learned regulation of cortical activity was even applied to control computer devices [McFarland and Wolpaw, 2003]. Although its clinical utility is still an active area of investigation, EEG-based self-training and the learning of neurophysiological processes/behavior have already been applied to the management of attention deficiency and hyperactivity disorder (ADHD) [Lubar et al, 1995;Fernandez et al, 2003] and to the treatment of phobic anxiety as well as seizure-related disorders [Walley et al, 1994;Swingle, 1998;Kotchoubey et al, 1999]. These EEG-mediated approaches, however, lack the spatial specificity required to characterize regional brain activity since detected EEG signals reflect the activation of a widespread network of cortical/subcortical function.…”

Section: Introductionmentioning

confidence: 99%

Neurofeedback fMRI‐mediated learning and consolidation of regional brain activation during motor imagery

Yoo

Lee

O’Leary

et al. 2008

Int J Imaging Syst Tech

104

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We report the long-term effect of real-time functional MRI (rtfMRI) training on voluntary regulation of the level of activation from a hand motor area. During the performance of a motor imagery task of a right hand, blood-oxygenation-level-dependent (BOLD) signal originating from a primary motor area was presented back to the subject in real-time. Demographically matched individuals also received the same procedure without valid feedback information. Followed by the initial rtfMRI sessions, both groups underwent two-week long, daily-practice of the task. Off-line data analysis revealed that the individuals in the experimental group were able to increase the level of BOLD signal from the regulatory target to a greater degree compared to the control group. Furthermore, the learned level of activation was maintained after the two-week period, with the recruitment of additional neural circuitries such as the hippocampus and the limbo-thalamocortical pathway. The activation obtained from the control group, in the absence of proper feedback, was indifferent across the training conditions. The level of BOLD activity from the target regulatory region was positively correlated with a self evaluative score within the experimental group, while the majority of control subjects had difficulty adopting a strategy to attain the desired level of functional regulation. Our results suggest that rtfMRI helped individuals learn how to increase region-specific cortical activity associated with a motor imagery task, and the level of increased activation in motor areas was consolidated after the two-week self-practice period, with the involvement of neural circuitries implicated in motor skill learning.

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“…For over 35 years, neurofeedback has been considered as a potential treatment for a number of neurological and psychiatric disorders including ADHD [11,17], epilepsy [12,18], depression [19,20], schizophrenia [21] and bipolar disorder [22]. Recently, visual neurofeedback has been explored for treating Parkinson's disease [23].…”

Section: Fmrimentioning

confidence: 99%

“…□ treat individuals who have attention deficit hyperactivity disorder (ADHD) [11,17,36,37] □ treat alcoholic with depressive symptoms [38] □ treat epilepsy [12,18] □ treat depression anxiety [19,20] and bipolar disorder [22] □ treat schizophrenia [21] • Neurological:…”

Section: Introductionmentioning

confidence: 99%

From Auditory and Visual to Immersive Neurofeedback: Application to Diagnosis of Alzheimer’s Disease

Elgendi

Dauwels

Rebsamen

et al. 2014

Neural Computation, Neural Devices, and Neural Prosthesis

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Abstract. In neurofeedback, brain waves are transformed into sounds or music, graphics, and other representations, to provide real-time information on ongoing waves and patterns in the brain. Here we present various forms of neurofeedback, including sonification, sonification in combination with visualization, and at last, immersive neurofeedback, where auditory and visual feedback is provided in a multi-sided immersive environment in which participants are completely surrounded by virtual imagery and 3D sound. Neural feedback may potentially improve the user's (or patient's) ability to control brain activity, the diagnosis of medical conditions, and the rehabilitation of neurological or psychiatric disorders. Several psychological and medical studies have confirmed that virtual immersive activity is enjoyable, stimulating, and can have a healing effect. As an illustration, neurofeedback is generated from electroencephalograms (EEG) of Alzheimer's disease (AD) patients and healthy subjects. The auditory, visual, and immersive representations of Alzheimer's EEG differ substantially from healthy EEG, potentially yielding novel diagnostic tools. Moreover, such alternative representations of AD EEG are natural and intuitive, and hence easily accessible to laymen (AD patients and family members), and can provide insight into the abnormal brainwaves associated with AD.

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Neurofeedback treatment of pseudoseizure disorder

Cited by 37 publications

References 12 publications

Low-resolution electromagnetic tomography neurofeedback

Low-resolution electromagnetic tomography neurofeedback

Neurofeedback fMRI‐mediated learning and consolidation of regional brain activation during motor imagery

From Auditory and Visual to Immersive Neurofeedback: Application to Diagnosis of Alzheimer’s Disease

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