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      Editorial: Online data collection for human neuroscience: challenges and opportunities

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          Lecanemab in Early Alzheimer’s Disease

          The accumulation of soluble and insoluble aggregated amyloid-beta (Aβ) may initiate or potentiate pathologic processes in Alzheimer's disease. Lecanemab, a humanized IgG1 monoclonal antibody that binds with high affinity to Aβ soluble protofibrils, is being tested in persons with early Alzheimer's disease.
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            Now is the Time to Improve Cognitive Screening and Assessment for Clinical and Research Advancement

            Wang et al. analyze Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment accuracy as screening tests for detecting dementia associated with Alzheimer’s disease (AD). Such tests are at the center of controversy regarding recognition and treatment of AD. The continued widespread use of tools such as MMSE (1975) underscores the failure of advancing cognitive screening and assessment, which has hampered the development and evaluation of AD treatments. It is time to employ readily available, efficient computerized measures for population/mass screening, clinical assessment of dementia progression, and accurate determination of approaches for prevention and treatment of AD and related conditions.
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              The Advisory Group on Risk Evidence Education for Dementia: Multidisciplinary and Open to All

              The brain changes of Alzheimer’s disease and other degenerative dementias begin long before cognitive dysfunction develops, and in people with subtle cognitive complaints, clinicians often struggle to predict who will develop dementia. The public increasingly sees benefits to accessing dementia risk evidence (DRE) such as biomarkers, predictive algorithms, and genetic information, particularly as this information moves from research to demonstrated usefulness in guiding diagnosis and clinical management. For example, the knowledge that one has high levels of amyloid in the brain may lead one to seek amyloid reducing medications, plan for disability, or engage in health promoting behaviors to fight cognitive decline. Researchers often hesitate to share DRE data, either because they are insufficiently validated or reliable for use in individuals, or there are concerns about assuring responsible use and ensuring adequate understanding of potential problems when one’s biomarker status is known. Concerns include warning people receiving DRE about situations in which they might be compelled to disclose their risk status potentially leading to discrimination or stigma. The Advisory Group on Risk Evidence Education for Dementia (AGREEDementia) welcomes all concerned with how best to share and use DRE. Supporting understanding in clinicians, stakeholders, and people with or at risk for dementia and clearly delineating risks, benefits, and gaps in knowledge is vital. This brief overview describes elements that made this group effective as a model for other health conditions where there is interest in unfettered collaboration to discuss diagnostic uncertainty and the appropriate use and communication of health-related risk information.
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                Author and article information

                Contributors
                Journal
                Front Hum Neurosci
                Front Hum Neurosci
                Front. Hum. Neurosci.
                Frontiers in Human Neuroscience
                Frontiers Media S.A.
                1662-5161
                25 June 2024
                2024
                : 18
                : 1440711
                Affiliations
                [1] 1VA Palo Alto Health Care System, Veterans Health Administration, United States Department of Veterans Affairs , Palo Alto, CA, United States
                [2] 2Division of Public Mental Health and Population Sciences, Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University , Stanford, CA, United States
                [3] 3Department of Psychology, College of San Mateo , San Mateo, CA, United States
                Author notes

                Edited and reviewed by: Leonhard Schilbach, Ludwig Maximilian University of Munich, Germany

                *Correspondence: Colleen Mills-Finnerty Colleen.MillsFinnerty@ 123456va.gov
                Article
                10.3389/fnhum.2024.1440711
                11231419
                38983755
                0c103679-29f7-4067-b6e4-2f33140ec8c4
                Copyright © 2024 Mills-Finnerty, Bayley, Clifford and Ashford.

                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
                : 29 May 2024
                : 03 June 2024
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 3, Pages: 3, Words: 1571
                Funding
                The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.
                Categories
                Human Neuroscience
                Editorial
                Custom metadata
                Brain Health and Clinical Neuroscience

                Neurosciences
                cognitive assessment,online data collection,methods,neuroscience,aging
                Neurosciences
                cognitive assessment, online data collection, methods, neuroscience, aging

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