Quantitative EEG Neurometric Analysis–Guided Neurofeedback Treatment in Dementia

Surmeli, Tanju; Eralp, Emin; Mustafazade, Ilhan; Kos, Hadi; Özer, Gül Elif; Surmeli, Orkun H.

doi:10.1177/1550059415590750

Cited by 29 publications

(21 citation statements)

References 72 publications

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“…Additional success has been reported using EEG-based NF for attention training and WM in young adults (Egner and Gruzelier, 2001; Zoefel et al, 2011; Ros et al, 2013, 2014), in post-traumatic stress disorder (Ros et al, 2016), and in older dementia patients (e.g., Surmeli et al, 2016). We summarize some of the recent studies on attention or WM training in older and younger adults in Table 1.…”

Section: Advancement In Brain Training Methodologymentioning

confidence: 96%

Tuning Up the Old Brain with New Tricks: Attention Training via Neurofeedback

Jiang

Abiri

Zhao

2017

Front. Aging Neurosci.

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Neurofeedback (NF) is a form of biofeedback that uses real-time (RT) modulation of brain activity to enhance brain function and behavioral performance. Recent advances in Brain-Computer Interfaces (BCI) and cognitive training (CT) have provided new tools and evidence that NF improves cognitive functions, such as attention and working memory (WM), beyond what is provided by traditional CT. More published studies have demonstrated the efficacy of NF, particularly for treating attention deficit hyperactivity disorder (ADHD) in children. In contrast, there have been fewer studies done in older adults with or without cognitive impairment, with some notable exceptions. The focus of this review is to summarize current success in RT NF training of older brains aiming to match those of younger brains during attention/WM tasks. We also outline potential future advances in RT brainwave-based NF for improving attention training in older populations. The rapid growth in wireless recording of brain activity, machine learning classification and brain network analysis provides new tools for combating cognitive decline and brain aging in older adults. We optimistically conclude that NF, combined with new neuro-markers (event-related potentials and connectivity) and traditional features, promises to provide new hope for brain and CT in the growing older population.

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Section: Advancement In Brain Training Methodologymentioning

confidence: 96%

Tuning Up the Old Brain with New Tricks: Attention Training via Neurofeedback

Jiang

Abiri

Zhao

2017

Front. Aging Neurosci.

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“…[25][26][27] In addition, neurofeedback has been successfully introduced in clinical practice to reduce progression of cognitive dysfunction in patients diagnosed with cognitive problems and dementia. [28][29][30][31] The QEEG findings of increased frontal/temporal delta and theta powers in an early dementia patient correlates well with evidence of decreased metabolism in the same regions identified on PET imaging. However, as we know QEEG testing is less expensive and does not require the injection of a radioactive tracer.…”

Section: Discussionmentioning

confidence: 82%

“…25-27 In addition, neurofeedback has been successfully introduced in clinical practice to reduce progression of cognitive dysfunction in patients diagnosed with cognitive problems and dementia. 28-31…”

Section: Discussionmentioning

confidence: 99%

QEEG as a Useful Tool for the Evaluation of Early Cognitive Changes in Dementia and Traumatic Brain Injury

Koberda

2020

Clin EEG Neurosci

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Quantitative electroencephalography (QEEG)-electrical neuroimaging has been underutilized in general neurology practice. Recent advances in computer technology have made this electrophysiological testing relatively inexpensive as well as precise in identifying brain areas with electrical dysfunction related to either traumatic injury or neurodegenerative process. In this article, the author presents 2 cases that can be frequently encountered in every general neurological practice: case of early dementia and traumatic brain injury. The clinical usefulness of QEEG is demonstrated by showing evidence of electrical abnormalities and networks dysfunctions (including an elevation of frontal/temporal delta and theta powers as well as abnormalities in functional connectivity). In addition, the correlation of QEEG and findings from structural imaging technique—magnetic resonance imaging diffusion tensor imaging and another functional imaging—positron emission tomography is presented.

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“…Wang and Hsieh (2013) found that theta band power training of healthy older participants was successful with regard to EEG findings as well as in improving attention and working memory. In a study where participants diagnosed with either AD or vascular dementia were trained using quantitative EEG-guided neurofeedback (Surmeli et al, 2016), regardless of the dementia In a recent pilot observational non-controlled study we showed an improvement in memory performance after delivering 10 sessions of neurofeedback (Lavy et al, 2019). This was accompanied by an incremental increase in the PAF.…”

Section: Introductionmentioning

confidence: 79%

Mild Cognitive Impairment and Neurofeedback: A Randomized Controlled Trial

Lavy

Dwolatzky

Kaplan

et al. 2021

Front. Aging Neurosci.

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Background and Objectives: Mild cognitive impairment (MCI) is often a precursor of dementia, and in particular of Alzheimer's Disease (AD) which is the most common cause of dementia. Individuals with amnestic MCI are several-fold more likely to develop AD than the general population. Therefore, MCI comprises a well-detectable, early stage time-point for therapeutic intervention and strategic prevention. Based on common electroencephalographical (EEG) pattern changes seen in individuals with MCI, we postulated that EEG-based neurofeedback could help improve the memory performance of patients with MCI. Memory performance is of particular importance in these patients, since memory decline is the most prominent symptom in most patients with MCI, and is the most predictive symptom for cognitive deterioration and the development of AD.Methods: In order to improve the memory performance of patients with MCI we used a system of EEG-based neurofeedback in an attempt to reverse alterations of the EEG that are known to be common in patients with MCI. Our protocol comprised the provision of positive feedback in order to enhance the activity level of the upper alpha band. Participants were divided to two groups receiving either neurofeedback training to enhance the upper alpha frequency (Experimental group) or random feedbacks (Sham group)Results: We witnessed a significant improvement in memory performance in subjects in the experimental group compared to those in the sham group. This improvement was maintained for at least 1 month.Conclusions: Neurofeedback may be a promising and affordable novel approach for treating the decline in memory witnessed in patients with MCI.

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Quantitative EEG Neurometric Analysis–Guided Neurofeedback Treatment in Dementia

Cited by 29 publications

References 72 publications

Tuning Up the Old Brain with New Tricks: Attention Training via Neurofeedback

Tuning Up the Old Brain with New Tricks: Attention Training via Neurofeedback

QEEG as a Useful Tool for the Evaluation of Early Cognitive Changes in Dementia and Traumatic Brain Injury

Mild Cognitive Impairment and Neurofeedback: A Randomized Controlled Trial

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