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      Neurofeedback and the Aging Brain: A Systematic Review of Training Protocols for Dementia and Mild Cognitive Impairment

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          Abstract

          Dementia describes a set of symptoms that occur in neurodegenerative disorders and that is characterized by gradual loss of cognitive and behavioral functions. Recently, non-invasive neurofeedback training has been explored as a potential complementary treatment for patients suffering from dementia or mild cognitive impairment. Here we systematically reviewed studies that explored neurofeedback training protocols based on electroencephalography or functional magnetic resonance imaging for these groups of patients. From a total of 1,912 screened studies, 10 were included in our final sample ( N = 208 independent participants in experimental and N = 81 in the control groups completing the primary endpoint). We compared the clinical efficacy across studies, and evaluated their experimental designs and reporting quality. In most studies, patients showed improved scores in different cognitive tests. However, data from randomized controlled trials remains scarce, and clinical evidence based on standardized metrics is still inconclusive. In light of recent meta-research developments in the neurofeedback field and beyond, quality and reporting practices of individual studies are reviewed. We conclude with recommendations on best practices for future studies that investigate the effects of neurofeedback training in dementia and cognitive impairment.

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          Most cited references156

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          Dementia prevention, intervention, and care

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            Clinical diagnosis of Alzheimer's disease: Report of the NINCDS-ADRDA Work Group* under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease

            Neurology, 34(7), 939-939
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              Mild cognitive impairment as a diagnostic entity.

              The concept of cognitive impairment intervening between normal ageing and very early dementia has been in the literature for many years. Recently, the construct of mild cognitive impairment (MCI) has been proposed to designate an early, but abnormal, state of cognitive impairment. MCI has generated a great deal of research from both clinical and research perspectives. Numerous epidemiological studies have documented the accelerated rate of progression to dementia and Alzheimer's disease (AD) in MCI subjects and certain predictor variables appear valid. However, there has been controversy regarding the precise definition of the concept and its implementation in various clinical settings. Clinical subtypes of MCI have been proposed to broaden the concept and include prodromal forms of a variety of dementias. It is suggested that the diagnosis of MCI can be made in a fashion similar to the clinical diagnoses of dementia and AD. An algorithm is presented to assist the clinician in identifying subjects and subclassifying them into the various types of MCI. By refining the criteria for MCI, clinical trials can be designed with appropriate inclusion and exclusion restrictions to allow for the investigation of therapeutics tailored for specific targets and populations.
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                Author and article information

                Contributors
                Journal
                Front Aging Neurosci
                Front Aging Neurosci
                Front. Aging Neurosci.
                Frontiers in Aging Neuroscience
                Frontiers Media S.A.
                1663-4365
                09 June 2021
                2021
                : 13
                : 682683
                Affiliations
                [1] 1Basic Neuroscience Division, McLean Hospital - Harvard Medical School , Boston, MA, United States
                [2] 2Institut National de la Recherche Scientifique - Energy, Materials, and Telecommunications Centre (INRS-EMT), University of Québec , Montréal, QC, Canada
                [3] 3Institute for Translational Psychiatry, University of Münster , Münster, Germany
                Author notes

                Edited by: Stephen D. Ginsberg, Nathan Kline Institute for Psychiatric Research, United States

                Reviewed by: Marvin Berman, Quietmind Foundation, United States; Katharina Klink, University of Bern, Switzerland

                *Correspondence: Lucas R. Trambaiolli ltrambaiolli@ 123456mclean.harvard.edu

                †These authors have contributed equally to this work and share senior authorship

                Article
                10.3389/fnagi.2021.682683
                8221422
                34177558
                3c37cabe-87b1-42a9-9059-837e0798f965
                Copyright © 2021 Trambaiolli, Cassani, Mehler and Falk.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 26 March 2021
                : 03 May 2021
                Page count
                Figures: 3, Tables: 6, Equations: 0, References: 156, Pages: 19, Words: 15636
                Funding
                Funded by: Natural Sciences and Engineering Research Council of Canada 10.13039/501100000038
                Categories
                Neuroscience
                Review

                Neurosciences
                neurofeedback,dementia,alzheimer's disease,mild cognitive impairment,electroencephalography,functional magnetic resonance imaging

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