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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">Consortium PSYCHIATRICUM</journal-id><journal-title-group><journal-title xml:lang="en">Consortium PSYCHIATRICUM</journal-title><trans-title-group xml:lang="ru"><trans-title>Consortium PSYCHIATRICUM</trans-title></trans-title-group></journal-title-group><issn publication-format="print">2712-7672</issn><issn publication-format="electronic">2713-2919</issn><publisher><publisher-name xml:lang="en">Eco-Vector</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">155</article-id><article-id pub-id-type="doi">10.17816/CP155</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>REVIEW</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>ОБЗОР</subject></subj-group><subj-group subj-group-type="article-type"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Technology-based Neurocognitive Assessment of the Elderly: a Mini Review</article-title><trans-title-group xml:lang="ru"><trans-title>Оценка нейрокогнитивных функций на основе компьютерных технологий у пожилых людей: краткий обзор</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-0365-7086</contrib-id><name-alternatives><name xml:lang="en"><surname>Sahoo</surname><given-names>Swapnajeet</given-names></name><name xml:lang="ru"><surname>Саху</surname><given-names>Свапанжит</given-names></name></name-alternatives><address><country country="IN">India</country></address><bio xml:lang="en"><p>MD, Assistant Professor, Department of Psychiatry</p></bio><email>swapnajit.same@gmail.com</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2714-2055</contrib-id><name-alternatives><name xml:lang="en"><surname>Grover</surname><given-names>Sandeep</given-names></name><name xml:lang="ru"><surname>Гровер</surname><given-names>Сандип</given-names></name></name-alternatives><address><country country="IN">India</country></address><bio xml:lang="en"><p>MD, Professor, Department of Psychiatry</p></bio><email>drsandeepg2002@yahoo.com</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Post Graduate Institute of Medical Education and Research</institution></aff><aff><institution xml:lang="ru">Институт последипломного медицинского образования и научных исследований</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2022-01-15" publication-format="electronic"><day>15</day><month>01</month><year>2022</year></pub-date><volume>3</volume><issue>1</issue><issue-title xml:lang="en"/><issue-title xml:lang="ru"/><fpage>37</fpage><lpage>44</lpage><history><date date-type="received" iso-8601-date="2022-02-11"><day>11</day><month>02</month><year>2022</year></date><date date-type="accepted" iso-8601-date="2022-02-28"><day>28</day><month>02</month><year>2022</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2022, Sahoo S., Grover S.</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2022, Саху С., Гровер С.</copyright-statement><copyright-year>2022</copyright-year><copyright-holder xml:lang="en">Sahoo S., Grover S.</copyright-holder><copyright-holder xml:lang="ru">Саху С., Гровер С.</copyright-holder><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://creativecommons.org/licenses/by/4.0</ali:license_ref></license></permissions><self-uri xlink:href="https://consortium-psy.com/jour/article/view/155">https://consortium-psy.com/jour/article/view/155</self-uri><abstract xml:lang="en"><p>Neurocognitive disorders in the elderly are on the rise all over the world. Neuropsychological assessment is vital to monitoring the progress of cognitive deficits. Over the years, there has been significant development in neuropsychological assessment to predict the development and progression of MCI and dementia. One such area of recent advancement in the field of neuropsychology is technology-based assessment. There are several types of technology-based assessments available based on the type of usage, site of the assessment, type of administration, type of device used for assessment, etc. Virtual reality-based assessments and digital assessments of neurocognitions for early identification of subtle cognitive deficits in patients with mild cognitive impairment (MCI) and major neurocognitive disorders (MND) represent two newly developed technologies. A few studies have demonstrated their efficacy; however, there remain several limitations and drawbacks to their usage within the elderly population. In this review, we have briefly discussed technology-based neuropsychological assessment, along with their usage and limitations.</p></abstract><trans-abstract xml:lang="ru"><p>Распространенность нейрокогнитивных расстройств у пожилых людей растет во всем мире. Для мониторинга прогрессирования когнитивного дефицита решающее значение имеет нейропсихологическое тестирование. В течение последних лет наблюдается значительное усовершенствование системы нейропсихологической оценки, на основании которой возможно прогнозировать развитие и прогрессирование легкого когнитивного расстройства и деменции. Одним из важных достижений в области нейропсихологии является оценка на основе компьютерных технологий. Существует несколько видов тестирования на основе компьютерных технологий, которые различаются по месту и способу проведения оценки, по типу применения, виду используемого оборудования и т.д. Недавно были разработаны методы оценки нейрокогнитивных функций, основанные на виртуальной реальности и электронных шкалах: они предназначены для раннего выявления легкого когнитивного расстройства (mild cognitive impairment, MCI) и грубых нарушений когнитивных функций, соответствующих деменции. Результаты нескольких исследований продемонстрировали их эффективность, однако по-прежнему существует ряд ограничений и недостатков, связанных с их использованием у пожилых людей. В этом обзоре приводится краткое обсуждение нейропсихологического тестирования на основе компьютерных технологий, особенностей их использования и существующих ограничений.</p></trans-abstract><kwd-group xml:lang="en"><kwd>neurocognitions</kwd><kwd>technology</kwd><kwd>dementia</kwd><kwd>digital</kwd><kwd>assessment</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>нейрокогнитивные функции</kwd><kwd>компьютерные технологии</kwd><kwd>деменция</kwd><kwd>цифровые методы</kwd><kwd>оценка</kwd></kwd-group><funding-group/></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Kumar C, Shaji K, Varghese M, Nair M, editors. Dementia in India 2020. Cochin: Alzheimer’s and Related Disorders Society of India (ARDSI); 2020.</mixed-citation></ref><ref id="B2"><label>2.</label><mixed-citation>Porsteinsson AP, Isaacson RS, Knox S, Sabbagh MN, Rubino I. Diagnosis of Early Alzheimer’s Disease: Clinical Practice in 2021. 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