Electroencephalography in Subjective Cognitive Decline and Mild Cognitive Impairment: Systematic Review of Biomarkers, Classification, and Prognostic Evidence.

Authors: Lu S; Key Laboratory of Tropical Translational Medicine of Ministry of Education, Department of Epidemiology, School of Public Health, Hainan Medical University, Haikou, Hainan, 571199, China, 86 13256406001., Hu S; Department of Neurology, The Second Affiliated Hospital of Hainan Medical University, Haikou, China., Huang J; Key Laboratory of Tropical Translational Medicine of Ministry of Education, Department of Epidemiology, School of Public Health, Hainan Medical University, Haikou, Hainan, 571199, China, 86 13256406001., Shi Y; Key Laboratory of Tropical Translational Medicine of Ministry of Education, Department of Epidemiology, School of Public Health, Hainan Medical University, Haikou, Hainan, 571199, China, 86 13256406001., Yu D; Key Laboratory of Tropical Translational Medicine of Ministry of Education, Department of Epidemiology, School of Public Health, Hainan Medical University, Haikou, Hainan, 571199, China, 86 13256406001., Cao W; Key Laboratory of Tropical Translational Medicine of Ministry of Education, Department of Epidemiology, School of Public Health, Hainan Medical University, Haikou, Hainan, 571199, China, 86 13256406001., Yin M; Library, Hainan Medical University, Haikou, Hainan, China., Petersen JD; Key Laboratory of Tropical Translational Medicine of Ministry of Education, Department of Epidemiology, School of Public Health, Hainan Medical University, Haikou, Hainan, 571199, China, 86 13256406001.; Department of Neurology, The Second Affiliated Hospital of Hainan Medical University, Haikou, China.; Department of Public Health, Research Unit for General Practice, University of Copenhagen, Copenhagen, Denmark., Huang B; Big Data Research Center, School of Intelligent Medicine and Technology, Hainan Medical University, No. 3 Xue Yuan Lu Road, Longhua District, Haikou, Hainan, 571199, China, 86 18976660867.; School of Software, Northwestern Polytechnical University, Xi' an, Shaanxi, China.

Source: Journal of medical Internet research [J Med Internet Res] 2026 Sep 30; Vol. 28, pp. e92709. Date of Electronic Publication: 2026 Sep 30.

Publication Type: Journal Article; Systematic Review

Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE

MeSH Terms: Cognitive Dysfunction*/diagnosis , Cognitive Dysfunction*/classification , Cognitive Dysfunction*/physiopathology , Biomarkers* , Electroencephalography*, Humans ; Disease Progression ; Prognosis

Battery length as a moderator of classification accuracy for cognitive impairment: a Monte Carlo simulation using actuarial and Bayesian methods.

Authors: Davis A; Department of Behavioral Health, Baptist Medical Center, Jacksonville, FL.

Source: Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists [Arch Clin Neuropsychol] 2026 Sep 09; Vol. 41 (7).

Publication Type: Journal Article

Journal Info: Publisher: Oxford University Press Country of Publication: United States NLM ID: 9004255 Publication Model: Print Cited Medium: Internet ISSN: 1873-5843 (Electronic) Linking ISSN: 08876177 NLM ISO Abbreviation: Arch Clin Neuropsychol Subsets: MEDLINE

MeSH Terms: Neuropsychological Tests*/standards , Neuropsychological Tests*/statistics & numerical data , Cognitive Dysfunction*/diagnosis , Cognitive Dysfunction*/classification , Monte Carlo Method*, Humans ; Bayes Theorem ; Psychometrics ; Sensitivity and Specificity

Development and External Validation of a Machine Learning Model for Classification of Mild Cognitive Impairment and Dementia Using Clinical Data.

Authors: Kannenieks D; Faculty of Medicine, Riga Stradins University, LV-1007 Riga, Latvia., Priede Z; Department of Neurology and Neurosurgery, Riga Stradins University, LV-1002 Riga, Latvia., Millers A; Department of Neurology and Neurosurgery, Riga Stradins University, LV-1002 Riga, Latvia., Velins KK; Department of Mathematics, Imperial College London, London SW7 2AZ, UK.

Source: Medicina (Kaunas, Lithuania) [Medicina (Kaunas)] 2026 Jul 14; Vol. 62 (7). Date of Electronic Publication: 2026 Jul 14.

Publication Type: Journal Article

Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 9425208 Publication Model: Electronic Cited Medium: Internet ISSN: 1648-9144 (Electronic) Linking ISSN: 1010660X NLM ISO Abbreviation: Medicina (Kaunas) Subsets: MEDLINE

MeSH Terms: Cognitive Dysfunction*/classification , Cognitive Dysfunction*/diagnosis , Machine Learning*/standards , Dementia*/classification , Dementia*/diagnosis, Humans ; Aged ; Retrospective Studies ; Male ; Female ; Boosting Machine Learning Algorithms ; Aged, 80 and over ; Cohort Studies ; Classification Algorithms ; Predictive Learning Models

TASNet: A tri-modal attentive scale robust adaptive fusion framework for progressive mild cognitive impairment classification.

Authors: Zhu H; School of Computer and Artificial Intelligence, Shandong Jianzhu University, Jinan, Shandong, China., Zhang L; School of Computer and Artificial Intelligence, Shandong Jianzhu University, Jinan, Shandong, China., Yang L; School of Computer and Artificial Intelligence, Shandong Jianzhu University, Jinan, Shandong, China., Hao F; School of Computer and Artificial Intelligence, Shandong Jianzhu University, Jinan, Shandong, China. Electronic address: 13731@sdjzu.edu.cn.

Source: Journal of neuroscience methods [J Neurosci Methods] 2026 Jun; Vol. 430, pp. 110726. Date of Electronic Publication: 2026 Feb 23.

Publication Type: Journal Article

Journal Info: Publisher: Elsevier/North-Holland Biomedical Press Country of Publication: Netherlands NLM ID: 7905558 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-678X (Electronic) Linking ISSN: 01650270 NLM ISO Abbreviation: J Neurosci Methods Subsets: MEDLINE

MeSH Terms: Cognitive Dysfunction*/diagnostic imaging , Cognitive Dysfunction*/classification , Cognitive Dysfunction*/pathology , Magnetic Resonance Imaging*/methods , Positron-Emission Tomography*/methods , Brain*/diagnostic imaging , Brain*/pathology , Image Interpretation, Computer-Assisted*/methods , Neuroimaging*/methods , Neural Networks, Computer*, Alzheimer Disease/diagnostic imaging ; Humans ; Disease Progression

Resource-stratified machine learning framework for cognitive status classification and mild cognitive impairment to dementia progression prediction.

Authors: Yang J; Department of Electrical & Computer Engineering, Division of Systems Engineering, Department of Biomedical Engineering, Boston University, 8 St. Mary's St, Boston, MA, 02215, USA., Ding H; Department of Anatomy & Neurobiology and Framingham Heart Study, Chobanian & Avedisian School of Medicine, Boston University, 72 E Concord St, Boston, MA, 02118, USA., Amini S; Department of Electrical & Computer Engineering, Division of Systems Engineering, Department of Biomedical Engineering, Boston University, 8 St. Mary's St, Boston, MA, 02215, USA., Hao B; Department of Electrical & Computer Engineering, Division of Systems Engineering, Department of Biomedical Engineering, Boston University, 8 St. Mary's St, Boston, MA, 02215, USA., Karjadi C; Department of Anatomy & Neurobiology and Framingham Heart Study, Chobanian & Avedisian School of Medicine, Boston University, 72 E Concord St, Boston, MA, 02118, USA., Au R; Department of Anatomy & Neurobiology and Framingham Heart Study, Chobanian & Avedisian School of Medicine, Boston University, 72 E Concord St, Boston, MA, 02118, USA.; Department of Neurology and Medicine, Chobanian & Avedisian School of Medicine, Boston University, 72 E Concord St, Boston, MA, 02118, USA.; Department of Epidemiology, School of Public Health, Boston University, 72 E Concord St, Boston, MA, 02118, USA., Paschalidis IC; Department of Electrical & Computer Engineering, Division of Systems Engineering, Department of Biomedical Engineering, Boston University, 8 St. Mary's St, Boston, MA, 02215, USA. yannisp@bu.edu.; Faculty of Computing & Data Sciences, Boston University, 665 Commonwealth Ave, Boston, MA, 02215, USA. yannisp@bu.edu.

Source: Alzheimer's research & therapy [Alzheimers Res Ther] 2026 Mar 07; Vol. 18 (1). Date of Electronic Publication: 2026 Mar 07.

Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.

Journal Info: Publisher: BioMed Central Ltd Country of Publication: England NLM ID: 101511643 Publication Model: Electronic Cited Medium: Internet ISSN: 1758-9193 (Electronic) NLM ISO Abbreviation: Alzheimers Res Ther Subsets: MEDLINE

MeSH Terms: Cognitive Dysfunction*/diagnosis , Cognitive Dysfunction*/classification , Dementia*/diagnosis , Dementia*/classification , Disease Progression* , Machine Learning*, Humans ; Female ; Male ; Aged ; Predictive Learning Models ; Neuropsychological Tests ; Classification Algorithms ; Prognosis ; Aged, 80 and over ; Boosting Machine Learning Algorithms ; Prediction Algorithms

Classification of depressed and non-depressed MCI and non-depressed cognitively normal individuals using resting-state metrics: A multi-group study with machine learning and graph reinforcement learning.

Authors: Ma H; School of Information and Electronics Technology, Jiamusi University, Jiamusi, 154007, China. Electronic address: mahuibin@jmsu.edu.cn., Song J; School of Information and Electronics Technology, Jiamusi University, Jiamusi, 154007, China. Electronic address: 238103005@stu.jmsu.edu.cn., Xue X; School of Foreign Studies, China University of Petroleum (East China), Qingdao, 266580, China. Electronic address: B24170003@s.upc.edu.cn., Wu J; School of Information and Electronics Technology, Jiamusi University, Jiamusi, 154007, China. Electronic address: 238103012@stu.jmsu.edu.cn., Zhang H; School of Medical Imaging, Shandong Second Medical University, Weifang, 261053, China. Electronic address: zy2206108@buaa.edu.cn., Fu B; School of Foreign Studies, China University of Petroleum (East China), Qingdao, 266580, China. Electronic address: fubingqi@s.upc.edu.cn., Hao Z; School of Psychology, Zhejiang Normal University, Jinhua, 321004, China. Electronic address: serenity@zjnu.edu.cn., Yu Y; Psychiatry Department, The Second Affiliated Hospital Zhejiang University School of Medicine, Zhejiang, Hangzhou, 310009, China. Electronic address: yuyang1023@zju.edu.cn., Cheng L; School of Foreign Studies, China University of Petroleum (East China), Qingdao, 266580, China. Electronic address: cll@upc.edu.cn., Li M; School of Psychology, Zhejiang Normal University, Jinhua, 321004, China. Electronic address: limengting1108@zjnu.edu.cn., Jia X; School of Psychology, Zhejiang Normal University, Jinhua, 321004, China; Intelligent Laboratory of Zhejiang Province in Mental Health and Crisis Intervention for Children and Adolescents, Zhejiang Normal University, Jinhua, 321004, China. Electronic address: jiaxize@zjnu.edu.cn.

Source: Journal of affective disorders [J Affect Disord] 2026 Aug 01; Vol. 406, pp. 121719. Date of Electronic Publication: 2026 Apr 01.

Publication Type: Journal Article

Journal Info: Publisher: Elsevier/North-Holland Biomedical Press Country of Publication: Netherlands NLM ID: 7906073 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-2517 (Electronic) Linking ISSN: 01650327 NLM ISO Abbreviation: J Affect Disord Subsets: MEDLINE

MeSH Terms: Cognitive Dysfunction*/classification , Cognitive Dysfunction*/physiopathology , Cognitive Dysfunction*/diagnostic imaging , Cognitive Dysfunction*/psychology , Depression*/physiopathology , Depression*/diagnostic imaging , Depression*/classification , Brain*/physiopathology , Brain*/diagnostic imaging , Machine Learning*, Magnetic Resonance Imaging/methods ; Brain Mapping/methods ; Cerebral Cortex/physiopathology ; Cerebral Cortex/diagnostic imaging ; Humans ; Female ; Reinforcement Machine Learning ; Male ; Aged ; Graph Neural Networks

Combining EEG, event-related potentials, and MRI biomarkers for detection of mild cognitive impairment: A machine learning approach.

Authors: Song YW; Department of Applied Artificial Intelligence, Hanyang University, Ansan, the Republic of Korea., Park YH; Department of Neurology, Seoul National University Bundang Hospital and Seoul National University College of Medicine, Seongnam, the Republic of Korea., Kim S; Department of Applied Artificial Intelligence, Hanyang University, Ansan, the Republic of Korea., Kim E; Department of Human-Computer Interaction, Hanyang University, Ansan, the Republic of Korea., Kim S; Department of Applied Artificial Intelligence, Hanyang University, Ansan, the Republic of Korea; Department of Human-Computer Interaction, Hanyang University, Ansan, the Republic of Korea. Electronic address: sdm04sdm@hanmail.net., Lee KH; Gwangju Alzheimer's and Related Dementia Cohort Research Center, Chosun University, Gwangju, the Republic of Korea; Department of Biomedical Sciences, Chosun University, Gwangju, the Republic of Korea; Korea Brain Research Institute, Daegu, the Republic of Korea. Electronic address: leekho@chosun.ac.kr.

Source: Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology [Clin Neurophysiol] 2026 Aug; Vol. 188, pp. 2111917. Date of Electronic Publication: 2026 May 06.

Publication Type: Comparative Study; Journal Article

Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 100883319 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-8952 (Electronic) Linking ISSN: 13882457 NLM ISO Abbreviation: Clin Neurophysiol Subsets: MEDLINE

MeSH Terms: Electroencephalography*/classification , Electroencephalography*/instrumentation , Electroencephalography*/methods , Evoked Potentials*/physiology , Magnetic Resonance Imaging*/classification , Magnetic Resonance Imaging*/methods , Cognitive Dysfunction*/diagnosis , Cognitive Dysfunction*/etiology , Machine Learning* , Wearable Electronic Devices*, Biomarkers/analysis ; Plaque, Amyloid/complications ; Plaque, Amyloid/psychology ; Aging in Place/psychology ; Case-Control Studies ; Positron-Emission Tomography ; Humans ; Male ; Female ; Aged ; Aged, 80 and over

Stepping and tapping: combining motor tasks improves cognitive classification.

Authors: Rudd KD; Wicking Dementia Research and Education Centre, University of Tasmania, 17 Liverpool Street, Hobart, TAS, 7000, Australia., Callisaya ML; Medical Science Precinct, Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.; Peninsula Clinical School, Monash University, Frankston, VIC, Australia., Lawler K; Wicking Dementia Research and Education Centre, University of Tasmania, 17 Liverpool Street, Hobart, TAS, 7000, Australia.; School of Allied Health, Human Services and Sport, La Trobe University, Bundoora, VIC, Australia., Noyce AJ; Centre for Preventive Neurology, Wolfson Institute of Population Health, Mary University of London, London, Queen, UK., Vickers JC; Wicking Dementia Research and Education Centre, University of Tasmania, 17 Liverpool Street, Hobart, TAS, 7000, Australia., Alty J; Wicking Dementia Research and Education Centre, University of Tasmania, 17 Liverpool Street, Hobart, TAS, 7000, Australia. Jane.Alty@utas.edu.au.; School of Medicine, University of Tasmania, Hobart, TAS, Australia. Jane.Alty@utas.edu.au.; Royal Hobart Hospital, Hobart, TAS, Australia. Jane.Alty@utas.edu.au.

Source: GeroScience [Geroscience] 2026 Feb; Vol. 48 (1), pp. 829-842. Date of Electronic Publication: 2025 May 08.

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal Info: Publisher: Springer International Publishing Country of Publication: Switzerland NLM ID: 101686284 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2509-2723 (Electronic) Linking ISSN: 25092723 NLM ISO Abbreviation: Geroscience Subsets: MEDLINE

MeSH Terms: Cognitive Dysfunction*/physiopathology , Cognitive Dysfunction*/diagnosis , Cognitive Dysfunction*/classification , Gait*/physiology , Dementia*/physiopathology , Dementia*/diagnosis , Psychomotor Performance*/physiology, Cognition/physiology ; Humans ; Male ; Female ; Aged ; Aged, 80 and over ; Case-Control Studies

Alterations in dynamic connectivity in Alzheimer's disease: Network changes and improved multi-stage classification.

Authors: Guo R; School of Biological Science and Medical Engineering, Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China., Li D; School of Biological Science and Medical Engineering, Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China; State Key Laboratory of Software Development Environment, State Key Laboratory of Virtual Reality Technology and System, Beihang University, Beijing, China., Zhang X; Shenzhen University General Hospital, Shenzhen University, Shenzhen, China., Liu S; School of Biological Science and Medical Engineering, Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China., Wang D; School of Biological Science and Medical Engineering, Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China. Electronic address: daifa.wang@buaa.edu.cn., Du Y; School of Automation Science and Electrical Engineering, Beihang University, China. Electronic address: duyaoo@buaa.edu.cn.

Corporate Authors: Alzheimer's Disease Neuroimaging Initiative

Source: Experimental gerontology [Exp Gerontol] 2026 Oct 15; Vol. 224, pp. 113285. Date of Electronic Publication: 2026 Aug 13.

Publication Type: Journal Article

Journal Info: Publisher: Elsevier Science Country of Publication: England NLM ID: 0047061 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-6815 (Electronic) Linking ISSN: 05315565 NLM ISO Abbreviation: Exp Gerontol Subsets: MEDLINE

MeSH Terms: Alzheimer Disease*/physiopathology , Alzheimer Disease*/diagnostic imaging , Alzheimer Disease*/classification , Alzheimer Disease*/psychology , Cognitive Dysfunction*/physiopathology , Cognitive Dysfunction*/diagnostic imaging , Brain*/physiopathology , Brain*/diagnostic imaging , Nerve Net*/physiopathology , Nerve Net*/diagnostic imaging, Magnetic Resonance Imaging/methods ; Brain Mapping/methods ; Humans ; Female ; Aged ; Male ; Aged, 80 and over ; Disease Progression

Neural features underlying high-accuracy classification of amnestic mild cognitive impairment using multi-sensory-evoked potentials.

Authors: Zhang L; Rotman Research Institute, Baycrest Academy for Research and Education, 3560 Bathurst Street, Toronto, ON, M6A 2E1, Canada. lzhang@research.baycrest.org., Binns M; Rotman Research Institute, Baycrest Academy for Research and Education, 3560 Bathurst Street, Toronto, ON, M6A 2E1, Canada.; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, M5T 3M7, Canada., Chow R; Rotman Research Institute, Baycrest Academy for Research and Education, 3560 Bathurst Street, Toronto, ON, M6A 2E1, Canada., Rabi R; Rotman Research Institute, Baycrest Academy for Research and Education, 3560 Bathurst Street, Toronto, ON, M6A 2E1, Canada., Anderson ND; Rotman Research Institute, Baycrest Academy for Research and Education, 3560 Bathurst Street, Toronto, ON, M6A 2E1, Canada.; Department of Psychology, University of Toronto, Toronto, ON, M5G 3G3, Canada.; Department of Psychiatry, University of Toronto, Toronto, ON, M5T 1R8, Canada., Lu J; MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, China.; Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, China., Freedman M; Rotman Research Institute, Baycrest Academy for Research and Education, 3560 Bathurst Street, Toronto, ON, M6A 2E1, Canada.; Department of Medicine (Neurology), Baycrest Centre, Toronto, ON, M6A 2E1, Canada.; Department of Medicine (Neurology), Mount Sinai Hospital, Toronto, ON, M5G 1X5, Canada.; Department of Medicine (Neurology), University of Toronto, Toronto, ON, M5S 3H2, Canada., Alain C; Rotman Research Institute, Baycrest Academy for Research and Education, 3560 Bathurst Street, Toronto, ON, M6A 2E1, Canada. calain@research.baycrest.org.; Department of Psychology, University of Toronto, Toronto, ON, M5G 3G3, Canada. calain@research.baycrest.org.; Institute of Medical Science, University of Toronto, Toronto, ON, M5S 1A8, Canada. calain@research.baycrest.org.; Music and Health Science Research Collaboratory, University of Toronto, Toronto, ON, M5S 2C3, Canada. calain@research.baycrest.org.

Source: GeroScience [Geroscience] 2026 Apr; Vol. 48 (2), pp. 2545-2562. Date of Electronic Publication: 2025 Jul 22.

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal Info: Publisher: Springer International Publishing Country of Publication: Switzerland NLM ID: 101686284 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2509-2723 (Electronic) Linking ISSN: 25092723 NLM ISO Abbreviation: Geroscience Subsets: MEDLINE

MeSH Terms: Cognitive Dysfunction*/diagnosis , Cognitive Dysfunction*/physiopathology , Cognitive Dysfunction*/classification , Amnesia*/physiopathology , Amnesia*/diagnosis , Evoked Potentials, Somatosensory*/physiology , Evoked Potentials*/physiology, Electroencephalography/methods ; Humans ; Aged ; Male ; Female ; Support Vector Machine ; Aged, 80 and over ; Case-Control Studies ; Sensitivity and Specificity ; Middle Aged

Integrating Substantia Nigra Hyperechogenicity and Inflammation-Associated Biomarkers: A Classification Model for Staging Cognitive Impairment in Parkinson's Disease.

Authors: Zhao J; Department of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China., Hou C; Department of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China.; Department of Ultrasound, The Affiliated Hospital of Southwest Medical University, 646000 Luzhou, Sichuan, China., Wang S; Department of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China., Lin Y; Department of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China., Xu L; Department of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China., He W; Department of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China., Zhang W; Department of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China.

Source: Journal of integrative neuroscience [J Integr Neurosci] 2026 Mar 09; Vol. 25 (3), pp. 46585.

Publication Type: Journal Article

Journal Info: Publisher: IMR Press Country of Publication: Singapore NLM ID: 101156357 Publication Model: Print Cited Medium: Internet ISSN: 0219-6352 (Print) Linking ISSN: 02196352 NLM ISO Abbreviation: J Integr Neurosci Subsets: MEDLINE

MeSH Terms: Parkinson Disease*/complications , Parkinson Disease*/diagnostic imaging , Substantia Nigra*/diagnostic imaging , Cognitive Dysfunction*/etiology , Cognitive Dysfunction*/classification , Cognitive Dysfunction*/diagnostic imaging , Cognitive Dysfunction*/diagnosis , Inflammation*/diagnostic imaging, Humans ; Male ; Middle Aged ; Female ; Biomarkers ; Aged ; Ultrasonography, Doppler, Transcranial ; Prospective Studies

[Transitional cognitive syndrome: Reconsidered classification of cognitive disorders].

Transliterated Title: Perekhodnyi kognitivnyi sindrom — novyi vzglyad na klassifikatsiyu kognitivnykh narushenii.

Authors: Levin OS; Russian Medical Academy of Continuous Professional Education, Moscow, Russia., Vasenina EE; Russian Medical Academy of Continuous Professional Education, Moscow, Russia.; Moscow City Clinical Psychiatric Hospital No. 1, Moscow, Russia., Gankina OA; Russian Medical Academy of Continuous Professional Education, Moscow, Russia.; Moscow City Clinical Psychiatric Hospital No. 1, Moscow, Russia., Berdalin AB; Moscow City Clinical Psychiatric Hospital No. 1, Moscow, Russia., Morozova IO; Moscow City Clinical Psychiatric Hospital No. 1, Moscow, Russia., Savilov VB; Moscow City Clinical Psychiatric Hospital No. 1, Moscow, Russia., Kurmyshev MV; Moscow City Clinical Psychiatric Hospital No. 1, Moscow, Russia., Andryushchenko AV; Moscow City Clinical Psychiatric Hospital No. 1, Moscow, Russia.; M.V. Lomonosov Moscow State University, Moscow, Russia., Kostyuk GP; Moscow City Clinical Psychiatric Hospital No. 1, Moscow, Russia.; M.V. Lomonosov Moscow State University, Moscow, Russia.

Source: Zhurnal nevrologii i psikhiatrii imeni S.S. Korsakova [Zh Nevrol Psikhiatr Im S S Korsakova] 2026; Vol. 126 (4. Vyp. 2), pp. 47-55.

Publication Type: English Abstract; Journal Article

Journal Info: Publisher: Media Sfera Country of Publication: Russia (Federation) NLM ID: 9712194 Publication Model: Print Cited Medium: Print ISSN: 1997-7298 (Print) Linking ISSN: 19977298 NLM ISO Abbreviation: Zh Nevrol Psikhiatr Im S S Korsakova Subsets: MEDLINE

MeSH Terms: Cognitive Dysfunction*/classification , Cognitive Dysfunction*/rehabilitation , Cognitive Dysfunction*/diagnosis , Cognitive Dysfunction*/epidemiology , Dementia*/diagnosis , Dementia*/rehabilitation , Dementia*/classification , Cognition Disorders*/classification, Humans ; Female ; Aged ; Cognitive Training ; Male ; Neuropsychological Tests ; Disease Progression ; Syndrome ; Aged, 80 and over ; Follow-Up Studies

A needed revision for the definition of subjective cognitive decline.

Authors: Kremen WS; Department of Psychiatry, University of California, La Jolla, CA, USA.; Center for Behavior Genetics of Aging, University of California, La Jolla, CA, USA.

Source: Journal of Alzheimer's disease : JAD [J Alzheimers Dis] 2026 Aug; Vol. 112 (4), pp. 1768-1770. Date of Electronic Publication: 2026 Jun 24.

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal Info: Publisher: SAGE Publications Country of Publication: United States NLM ID: 9814863 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1875-8908 (Electronic) Linking ISSN: 13872877 NLM ISO Abbreviation: J Alzheimers Dis Subsets: MEDLINE

MeSH Terms: Cognitive Dysfunction*/diagnosis , Cognitive Dysfunction*/psychology , Cognitive Dysfunction*/classification, Humans

Classification of mild cognitive impairment developmental trajectories using multispatial scale structural brain networks.

Authors: Zhang C; Neurological Sub-intensive Care Department, Yancheng First Hospital, The Yancheng Clinical College of Xuzhou Medical University., Song C; Neurological Sub-intensive Care Department, Yancheng Third People's Hospital, The Yancheng School of Clinical Medicine of Nanjing Medical University, Yancheng, China., Li X; Neurological Sub-intensive Care Department, Yancheng First Hospital, The Yancheng Clinical College of Xuzhou Medical University., Duan Y; Neurological Sub-intensive Care Department, Yancheng First Hospital, The Yancheng Clinical College of Xuzhou Medical University., Liu W; Neurological Sub-intensive Care Department, Yancheng First Hospital, The Yancheng Clinical College of Xuzhou Medical University., Lu Z; Neurological Sub-intensive Care Department, Yancheng First Hospital, The Yancheng Clinical College of Xuzhou Medical University.

Source: Neuroreport [Neuroreport] 2025 Nov 05; Vol. 36 (16), pp. 976-987. Date of Electronic Publication: 2025 Sep 19.

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal Info: Publisher: Lippincott Williams & Wilkins Country of Publication: England NLM ID: 9100935 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1473-558X (Electronic) Linking ISSN: 09594965 NLM ISO Abbreviation: Neuroreport Subsets: MEDLINE

MeSH Terms: Cognitive Dysfunction*/classification , Cognitive Dysfunction*/diagnostic imaging , Cognitive Dysfunction*/pathology , Brain*/pathology , Brain*/diagnostic imaging , Nerve Net*/diagnostic imaging , Nerve Net*/pathology, Alzheimer Disease/diagnostic imaging ; Alzheimer Disease/pathology ; Humans ; Aged ; Male ; Female ; Magnetic Resonance Imaging ; Aged, 80 and over

Comparative cytokine signatures and cognitive deficits in early-onset schizophrenia and adolescent major depression: Toward refined diagnostic classification frameworks.

Authors: Luo X; Affiliated Mental Health Centre, Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, 305 Tianmushan Road, Hangzhou, Zhejiang 310013, China. Electronic address: 1369643803@qq.com., Dong J; Affiliated Mental Health Centre, Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, 305 Tianmushan Road, Hangzhou, Zhejiang 310013, China., Li T; Affiliated Mental Health Centre, Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, 305 Tianmushan Road, Hangzhou, Zhejiang 310013, China; Liangzhu Laboratory, MOE Frontier Science Center for Brain Science and Brain-Machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, Hangzhou 311121, China; NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou 310058, China; Nanhu Brain-computer Interface Institute, Hangzhou 311100, China. Electronic address: Xuntao26@hotmail.com.

Source: Journal of affective disorders [J Affect Disord] 2025 Nov 15; Vol. 389, pp. 119667. Date of Electronic Publication: 2025 Jun 16.

Publication Type: Journal Article; Comparative Study

Journal Info: Publisher: Elsevier/North-Holland Biomedical Press Country of Publication: Netherlands NLM ID: 7906073 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-2517 (Electronic) Linking ISSN: 01650327 NLM ISO Abbreviation: J Affect Disord Subsets: MEDLINE

MeSH Terms: Major Depressive Disorder*/blood , Major Depressive Disorder*/diagnosis , Major Depressive Disorder*/classification , Major Depressive Disorder*/psychology , Major Depressive Disorder*/complications , Schizophrenia*/blood , Schizophrenia*/diagnosis , Schizophrenia*/classification , Schizophrenia*/complications , Cytokines*/blood , Cognitive Dysfunction*/blood , Cognitive Dysfunction*/diagnosis, Biomarkers/blood ; Humans ; Male ; Adolescent ; Female ; Neuropsychological Tests ; Machine Learning

ICD-10 and SNOMED CT Representations of Cognitive Decline in All of Us.

Authors: Kudyba O; Department of Information Science and Media Studies, University of Bergen, Norway., Babic A; Department of Information Science and Media Studies, University of Bergen, Norway.; Department of Biomedical Engineering, Linköping University, Sweden.

Source: Studies in health technology and informatics [Stud Health Technol Inform] 2026 Jun 29; Vol. 338, pp. 259-263.

Publication Type: Journal Article

Journal Info: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE

MeSH Terms: Cognitive Dysfunction*/classification , Cognitive Dysfunction*/diagnosis , Systematized Nomenclature of Medicine* , International Classification of Diseases* , Electronic Health Records*, Humans ; United States ; Clustering Algorithms ; Cluster Analysis ; Female ; Principal Component Analysis ; Male

Gait Analysis for Identifying Normal Cognition, Subjective Cognitive Decline, and Mild Cognitive Impairment in Parkinson Disease: Diagnostic Study.

Authors: Huang J; Department of Neurology, The First affiliated Hospital of Nanhua University, Hengyang, China., Wu L; GYENNO Science Co., Ltd., Shenzhen, China.; HUST-GYENNO CNS Intelligent Digital Medicine Technology Center, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei, China.; Guangdong Provincial Engineering Technology Research Center for Medical Artificial Intelligence in Neurological Disease, Shenzhen, Guangdong, China., Wang H; Department of Neurology, Jiangxi Medical College, Nanchang University, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China., Chen L; Department of Neurology, Jiangxi Medical College, Nanchang University, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China., Hu B; Department of Neurology, Jiangxi Medical College, Nanchang University, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China., Zhang F; GYENNO Science Co., Ltd., Shenzhen, China.; HUST-GYENNO CNS Intelligent Digital Medicine Technology Center, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei, China.; Guangdong Provincial Engineering Technology Research Center for Medical Artificial Intelligence in Neurological Disease, Shenzhen, Guangdong, China., Ren K; GYENNO Science Co., Ltd., Shenzhen, China.; HUST-GYENNO CNS Intelligent Digital Medicine Technology Center, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei, China.; Guangdong Provincial Engineering Technology Research Center for Medical Artificial Intelligence in Neurological Disease, Shenzhen, Guangdong, China., Ling Y; GYENNO Science Co., Ltd., Shenzhen, China.; HUST-GYENNO CNS Intelligent Digital Medicine Technology Center, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei, China.; Guangdong Provincial Engineering Technology Research Center for Medical Artificial Intelligence in Neurological Disease, Shenzhen, Guangdong, China., Chen Z; GYENNO Science Co., Ltd., Shenzhen, China.; HUST-GYENNO CNS Intelligent Digital Medicine Technology Center, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei, China.; Guangdong Provincial Engineering Technology Research Center for Medical Artificial Intelligence in Neurological Disease, Shenzhen, Guangdong, China., Huang W; Department of Neurology, Jiangxi Medical College, Nanchang University, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.

Source: JMIR mHealth and uHealth [JMIR Mhealth Uhealth] 2026 Jun 24; Vol. 14, pp. e69273. Date of Electronic Publication: 2026 Jun 24.

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal Info: Publisher: JMIR Publications Inc Country of Publication: Canada NLM ID: 101624439 Publication Model: Electronic Cited Medium: Internet ISSN: 2291-5222 (Electronic) Linking ISSN: 22915222 NLM ISO Abbreviation: JMIR Mhealth Uhealth Subsets: MEDLINE

MeSH Terms: Parkinson Disease*/complications , Parkinson Disease*/psychology , Parkinson Disease*/physiopathology , Parkinson Disease*/diagnosis , Cognitive Dysfunction*/diagnosis , Cognitive Dysfunction*/psychology , Cognitive Dysfunction*/classification , Cognitive Dysfunction*/physiopathology , Gait Analysis*/methods , Gait Analysis*/instrumentation , Gait Analysis*/statistics & numerical data , Gait Analysis*/standards , Cognition*/physiology , Cognition*/classification, Humans ; Female ; Male ; Aged ; Middle Aged ; Machine Learning ; Dual-Task Tests

Overnight sleep affects the stability of neuropsychological classification in mild cognitive impairment.

Authors: Chang JH; Neurological Sciences, University of Nebraska Medical Center, Omaha, Nebraska, USA., Latona GJ; Neurological Sciences, University of Nebraska Medical Center, Omaha, Nebraska, USA., Rizzo M; Neurological Sciences, University of Nebraska Medical Center, Omaha, Nebraska, USA., Phatak V; Neurological Sciences, University of Nebraska Medical Center, Omaha, Nebraska, USA., Murman DL; Neurological Sciences, University of Nebraska Medical Center, Omaha, Nebraska, USA.

Source: Alzheimer's & dementia : the journal of the Alzheimer's Association [Alzheimers Dement] 2026 Jan; Vol. 22 (1), pp. e71128.

Publication Type: Journal Article

Journal Info: Publisher: John Wiley & Sons, Ltd Country of Publication: United States NLM ID: 101231978 Publication Model: Print Cited Medium: Internet ISSN: 1552-5279 (Electronic) Linking ISSN: 15525260 NLM ISO Abbreviation: Alzheimers Dement Subsets: MEDLINE

MeSH Terms: Cognitive Dysfunction*/classification , Cognitive Dysfunction*/diagnosis , Cognitive Dysfunction*/physiopathology , Cognitive Dysfunction*/psychology , Sleep*/physiology , Neuropsychological Tests*, Humans ; Female ; Male ; Aged ; Actigraphy ; Sleep Duration ; Aged, 80 and over

Assessing Cognitive Impairment in the Health and Retirement Study Harmonized Cognitive Assessment Protocol Project: Comparing a Diagnostic Algorithm With a Diagnostic Consensus Panel.

Authors: Farron M; Institute for Social Research, University of Michigan, Ann Arbor, MI, USA., Ryan LH; Institute for Social Research, University of Michigan, Ann Arbor, MI, USA., Manly JJ; Department of Neurology, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA., Levine DA; Cognitive Health Sciences Research Program and Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA.; Department of Neurology and Stroke Program, University of Michigan, Ann Arbor, MI, USA.; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA., Plassman BL; Department of Psychiatry and Behavioral Science, Duke University School of Medicine, Durham, NC, USA., Giordani BJ; Department of Psychiatry and Michigan Alzheimer's Disease Center, University of Michigan, Ann Arbor, MI, USA., Jones RN; Department of Psychiatry and Human Behavior, Brown University Warren Alpert Medical School, Providence, RI, USA.; Department of Neurology, Brown University Warren Alpert Medical School, Providence, RI, USA., Langa KM; Institute for Social Research, University of Michigan, Ann Arbor, MI, USA.; Cognitive Health Sciences Research Program and Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA.; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.

Source: Journal of aging and health [J Aging Health] 2026 Jun; Vol. 38 (5-6), pp. 292-301. Date of Electronic Publication: 2025 Apr 15.

Publication Type: Journal Article; Comparative Study

Journal Info: Publisher: Sage Publications Country of Publication: United States NLM ID: 8912686 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1552-6887 (Electronic) Linking ISSN: 08982643 NLM ISO Abbreviation: J Aging Health Subsets: MEDLINE

MeSH Terms: Cognitive Dysfunction*/diagnosis , Cognitive Dysfunction*/classification , Dementia*/diagnosis , Algorithms*, Humans ; Aged ; Male ; Female ; Consensus ; Aged, 80 and over ; Retirement ; Neuropsychological Tests ; Middle Aged

A combined model of convolutional neural networks and graph attention networks for improved classification of mild cognitive impairment.

Authors: Kim N; Department of Medical and Digital Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic of Korea. Electronic address: skdud990306@naver.com., Jeon JY; Department of Medical and Digital Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic of Korea. Electronic address: jyjeon@hanyang.ac.kr., Seo J; Department of Medical and Digital Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic of Korea. Electronic address: sjw007s@korea.ac.kr., Lee Y; Department of Medical and Digital Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic of Korea. Electronic address: yun22@hanyang.ac.kr., Kim HJ; Department of Medical and Digital Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic of Korea; Department of Neurology, College of Medicine, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic of Korea; Department of Neurology, Hanyang University Hospital, 222-1 Wangsimni-ro, Seongdong-gu, Seoul, 04763, Republic of Korea. Electronic address: hyumcbrain@hanyang.ac.kr., Kim JS; Clinical Research Institute, Konkuk University Medical Center, 120-1 Neungdong-ro, Gwangjin-gu, Seoul 05030, Republic of Korea; Institute of Biomedical Science and Technology, Konkuk University, 120-1 Neungdong-ro, Gwangjin-gu, Seoul 05030, Republic of Korea. Electronic address: junesic.kim@gmail.com.

Source: NeuroImage [Neuroimage] 2026 Jan; Vol. 325, pp. 121674. Date of Electronic Publication: 2025 Dec 23.

Publication Type: Journal Article

Journal Info: Publisher: Academic Press Country of Publication: United States NLM ID: 9215515 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-9572 (Electronic) Linking ISSN: 10538119 NLM ISO Abbreviation: Neuroimage Subsets: MEDLINE

MeSH Terms: Cognitive Dysfunction*/classification , Cognitive Dysfunction*/diagnostic imaging , Neural Networks, Computer*, Magnetic Resonance Imaging/methods ; Alzheimer Disease/diagnostic imaging ; Brain/diagnostic imaging ; Humans ; Aged ; Male ; Female ; Deep Learning ; Aged, 80 and over ; Middle Aged ; Convolutional Neural Networks