Joyce Siette, Ji Woo Kim, Jessica-Lee Zammit, Ali Butt, Sandra Sonego, Jeewani Anupama Ginige, Andrew Georgiou, Lee-Fay Low
{"title":"The characteristics and performance of health data domains in supporting dementia identification: A systematic review.","authors":"Joyce Siette, Ji Woo Kim, Jessica-Lee Zammit, Ali Butt, Sandra Sonego, Jeewani Anupama Ginige, Andrew Georgiou, Lee-Fay Low","doi":"10.1002/dad2.70313","DOIUrl":"https://doi.org/10.1002/dad2.70313","url":null,"abstract":"<p><p>Electronic health records (EHRs) offer growing potential for dementia identification, yet a synthesis of how specific data domains contribute to accurate detection is lacking. This systematic review assessed the role and performance of EHR-derived data in identifying dementia. Six databases were searched up to April 2025. Fifty studies met inclusion criteria, examining routinely collected health data across care settings. Ten key domains supported dementia identification, including demographics, diagnoses, medications, symptoms, and structured assessments. Most data were sourced from primary care EHRs (48%), with studies primarily conducted in the United Kingdom and United States. Case-control and retrospective cohort designs were commonly applied, often using logistic regression. Cognitive and behavioral domains contributed most to specificity (57.5%-99.9%). Alzheimer's-specific models had higher accuracy than general dementia models (mean accuracy: 74.6 vs. 67.1). Integrating diverse EHR data, especially cognitive and symptomatic variables, can improve dementia detection. Future research should focus on model validation, standardization, and clinical implementation.</p>","PeriodicalId":53226,"journal":{"name":"Alzheimer''s and Dementia: Diagnosis, Assessment and Disease Monitoring","volume":"18 2","pages":"e70313"},"PeriodicalIF":4.4,"publicationDate":"2026-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13147356/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147846047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cellas A Hayes, Samika Prasad, Anhiti Dharmapuri, Roland J Thorpe
{"title":"White matter hyperintensities mediate a greater proportion of age-related lower cognitive scores in non-Hispanic White participants compared to non-Hispanic Black and Hispanic participants: HABS-HD.","authors":"Cellas A Hayes, Samika Prasad, Anhiti Dharmapuri, Roland J Thorpe","doi":"10.1002/dad2.70353","DOIUrl":"https://doi.org/10.1002/dad2.70353","url":null,"abstract":"<p><strong>Introduction: </strong>White matter hyperintensities (WMH) are robust markers of vascular brain injury and predictors of poorer cognition, but their contributions may differ across racial and ethnic groups.</p><p><strong>Methods: </strong>We analyzed 3585 participants from the Health and Aging Brain Study-Health Disparities cohort (1264 non-Hispanic White [NHW], 1003 non-Hispanic Black [NHB], 1318 Hispanic). Baseline demographics, vascular risk factors, apolipoprotein E ε4, magnetic resonance imaging-derived WMH, and domain-specific cognitive <i>z</i> scores were assessed. We used moderated mediation models to evaluate whether WMH mediated the age-cognition relationship by race/ethnicity.</p><p><strong>Results: </strong>Greater WMH volume was associated with poorer memory, executive function, processing speed, and language (all <i>p</i> < 0.01). Mediation by WMH varied across groups: WMH explained ≈ 30% of the age-cognition association in NHWs, 20% to 28% in NHBs, and 12% to 19% in Hispanics.</p><p><strong>Discussion: </strong>WMHs consistently mediated age-related lower cognition, but group differences highlight the contribution of cardiometabolic, neuropathological, and social determinants beyond WMHs in NHB and Hispanic populations.</p>","PeriodicalId":53226,"journal":{"name":"Alzheimer''s and Dementia: Diagnosis, Assessment and Disease Monitoring","volume":"18 ","pages":"e70353"},"PeriodicalIF":4.4,"publicationDate":"2026-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13140580/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147845979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dustin B Hammers, Angelina Polsinelli, Ani Eloyan, Alexander Taurone, Maryanne Thangarajah, Tatiana Foroud, Sujuan Gao, Laurel Beckett, Renaud La Joie, Alexandra Touroutoglou, Prashanthi Vemuri, Henrik Zetterberg, Kaj Blennow, Sára Nemes, Ralitsa Kostadinova, Paul Aisen, Kelly N Nudelman, Kala Kirby, Alireza Atri, David Clark, Gregory S Day, Ranjan Duara, Neill R Graff-Radford, Ian Grant, Lawrence S Honig, Erik C B Johnson, David T Jones, Joseph C Masdeu, Mario F Mendez, Leila Parand, Kyle Womack, Erik Musiek, Chiadi U Onyike, Meghan Riddle, Emily Rogalski, Stephen Salloway, Sharon J Sha, Raymond Scott Turner, Thomas S Wingo, David A Wolk, Maria C Carrillo, Gil D Rabinovici, Bradford C Dickerson, Jeffrey L Dage, Liana G Apostolova
{"title":"Criterion and convergent validity of plasma biomarkers in early-onset Alzheimer's disease: Initial findings from LEADS.","authors":"Dustin B Hammers, Angelina Polsinelli, Ani Eloyan, Alexander Taurone, Maryanne Thangarajah, Tatiana Foroud, Sujuan Gao, Laurel Beckett, Renaud La Joie, Alexandra Touroutoglou, Prashanthi Vemuri, Henrik Zetterberg, Kaj Blennow, Sára Nemes, Ralitsa Kostadinova, Paul Aisen, Kelly N Nudelman, Kala Kirby, Alireza Atri, David Clark, Gregory S Day, Ranjan Duara, Neill R Graff-Radford, Ian Grant, Lawrence S Honig, Erik C B Johnson, David T Jones, Joseph C Masdeu, Mario F Mendez, Leila Parand, Kyle Womack, Erik Musiek, Chiadi U Onyike, Meghan Riddle, Emily Rogalski, Stephen Salloway, Sharon J Sha, Raymond Scott Turner, Thomas S Wingo, David A Wolk, Maria C Carrillo, Gil D Rabinovici, Bradford C Dickerson, Jeffrey L Dage, Liana G Apostolova","doi":"10.1002/dad2.70342","DOIUrl":"https://doi.org/10.1002/dad2.70342","url":null,"abstract":"<p><p><b>INTRODUCTION</b>: Despite expanding use of plasma biomarkers for Alzheimer's disease (AD), minimal examination has been undertaken in early-onset AD (EOAD). Prior analyses assessed criterion and convergent validity of common plasma biomarkers in a well-characterized sample with sporadic EOAD. <b>METHODS</b>: Plasma amyloid beta (Aβ) 42/40, tau phosphorylated at threonine 231 (p-tau231), glial fibrillary acidic protein (GFAP), and neurofilament light change (NfL) levels were obtained for 189 EOAD, 52 early-onset non-AD (EOnonAD), and 83 cognitively normal (CN) participants. Diagnostic group differences, convergence with imaging biomarkers, and the capacity to predict specific cognitive domains were investigated. <b>RESULTS</b>: After controlling for cognitive status, EOAD participants exhibited more pathologic levels of Aβ42/40, p-tau231, and GFAP relative to EOnonAD participants. However, NfL displayed the greatest sensitivity to non-amnestic cognitive impairment across the sample. <b>DISCUSSION</b>: These results establish criterion and convergent validity of plasma biomarkers in sporadic EOAD and highlight complementary roles that AD-specific and non-specific plasma markers may play across the course of AD care.</p>","PeriodicalId":53226,"journal":{"name":"Alzheimer''s and Dementia: Diagnosis, Assessment and Disease Monitoring","volume":"18 ","pages":"e70342"},"PeriodicalIF":4.4,"publicationDate":"2026-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13135914/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147846004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Subjective Memory Complaints Questionnaire: a systematic review of psychometric properties, clinical applications, and neurobiological correlates.","authors":"Ji Won Han, Yu Jung Choi, Ki Woong Kim","doi":"10.1002/dad2.70339","DOIUrl":"https://doi.org/10.1002/dad2.70339","url":null,"abstract":"<p><p>Subjective memory complaints (SMCs) are early markers of cognitive decline. This systematic review, following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, synthesizes the psychometric properties and clinical utility of the Subjective Memory Complaints Questionnaire (SMCQ) using data from 2009 to 2025. From 407 records, 163 studies were analyzed across categories including diagnostic accuracy, intervention outcomes, and pathological associations. The SMCQ demonstrated excellent internal consistency (Cronbach's <i>α</i>: 0.82 to 0.92) and robust screening performance, with an area under the curve (AUC) of 0.84 for self-reports and 0.92 for informant reports regarding dementia. While validated in 15 languages across 25 countries, research remains heavily concentrated in Korean Alzheimer's disease (AD) cohorts, with limited evidence for non-AD dementias. Despite these geographical limitations, the SMCQ is a reliable, globally adapted tool for identifying individuals requiring further cognitive assessment. This study received no specific funding and was not preregistered.</p>","PeriodicalId":53226,"journal":{"name":"Alzheimer''s and Dementia: Diagnosis, Assessment and Disease Monitoring","volume":"18 ","pages":"e70339"},"PeriodicalIF":4.4,"publicationDate":"2026-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13132677/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147823429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Correction to \"Associations of plasma phosphorylated tau217 with cognitive impairment and brain microstructural alterations in Alzheimer's disease\".","authors":"","doi":"10.1002/dad2.70359","DOIUrl":"https://doi.org/10.1002/dad2.70359","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.1002/dad2.70333.].</p>","PeriodicalId":53226,"journal":{"name":"Alzheimer''s and Dementia: Diagnosis, Assessment and Disease Monitoring","volume":"18 ","pages":"e70359"},"PeriodicalIF":4.4,"publicationDate":"2026-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13128335/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147823406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yiqi Zhu, Jean-Francois Trani, Ramkrishna K Singh, Semere Bekena, Jonathan Williams, Eric J Lenze, Ganesh M Babulal
{"title":"The association between major depressive disorder, plasma biomarkers of Alzheimer's disease, and mild behavioral impairment among older adults.","authors":"Yiqi Zhu, Jean-Francois Trani, Ramkrishna K Singh, Semere Bekena, Jonathan Williams, Eric J Lenze, Ganesh M Babulal","doi":"10.1002/dad2.70337","DOIUrl":"https://doi.org/10.1002/dad2.70337","url":null,"abstract":"<p><strong>Introduction: </strong>Plasma biomarkers and mild behavioral impairment (MBI) are associated with dementia risk, but their relationships with major depressive disorder (MDD) are understudied. This study aimed to examine associations between plasma biomarkers of Alzheimer's disease (AD) and MBI among older adults with and without MDD.</p><p><strong>Methods: </strong>Older adults aged ≥65 were recruited from longitudinal studies of depression and AD (<i>n</i> = 330) in the DRIVES Project. Variables included Clinical Dementia Rating (CDR) scale, Mild Behavioral Impariment Checklist (MBI-C), Neuropsychiatric Inventory Questionnaire, Area Deprivation Index, and plasma biomarkers (amyloid beta [Aβ] 42/Aβ40, phosphorylated tau (p-tau) 181/non-p-tau181, p-tau217/non-p-tau217). Logistic regression assessed associations among MDD, plasma amyloid positivity, antidepressant use, and MBI.</p><p><strong>Results: </strong>Older adults with MDD were more likely to endorse MBI. After adjustment, Aβ42/Aβ40 and p-tau217/np-tau217 positivity were associated with MBI among those with MDD but not among those without.</p><p><strong>Discussion: </strong>Neuropsychatric symptoms (NPS) and biomarkers are AD risk factors. Early identification of MDD may reduce NPS severity, and tracking NPS onset, duration, and frequency is crucial for AD management.</p>","PeriodicalId":53226,"journal":{"name":"Alzheimer''s and Dementia: Diagnosis, Assessment and Disease Monitoring","volume":"18 ","pages":"e70337"},"PeriodicalIF":4.4,"publicationDate":"2026-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13128340/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147823443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chenyin Chu, Yihan Wang, Liwei Ma, Liang Jin, Yijun Pan
{"title":"Predicting post-stroke dementia using sex-specific risk factors: Development of an interpretable clinical scoring tool.","authors":"Chenyin Chu, Yihan Wang, Liwei Ma, Liang Jin, Yijun Pan","doi":"10.1002/dad2.70336","DOIUrl":"https://doi.org/10.1002/dad2.70336","url":null,"abstract":"<p><strong>Introduction: </strong>Post-stroke cognitive impairment/dementia are disabling outcomes, yet interpretable prognostic tools remain limited. We aim to develop prediction tools accounting for sex-specific risk profiles.</p><p><strong>Methods: </strong>We analyzed 766 stroke patients (mean age, 79.1 years; 377 men, 389 women). Shapley Variable Importance Cloud (ShapleyVIC) identified stable predictors, which were fed to the AutoScore framework to construct the Monash Stroke Dementia Score (MSDS). Model performance was evaluated using an area under the receiver operating characteristic curve (AUC), along with sensitivity, specificity, positive predictive value, and negative predictive value.</p><p><strong>Results: </strong>The MSDS achieved an AUC of 0.81 (95% confidence interval [CI], 0.78-0.84), with a sensitivity of 0.78 and specificity of 0.77. Although the overall risk of post-stroke dementia was similar between men and women, sex-specific models demonstrated improved discrimination and distinct risk profiles.</p><p><strong>Discussion: </strong>The MSDS provides a robust, interpretable tool for individualized prediction of post-stroke cognitive impairment/dementia, with distinct sex-specific risk patterns.</p>","PeriodicalId":53226,"journal":{"name":"Alzheimer''s and Dementia: Diagnosis, Assessment and Disease Monitoring","volume":"18 ","pages":"e70336"},"PeriodicalIF":4.4,"publicationDate":"2026-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13116076/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147788611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ayesha Fawad, Sophie M van der Landen, Pontus Tideman, Angela van der Putten-Toorenburg, Elke Butterbrod, Ruben Smith, Danielle van Westen, Susanna Calling, Patrik Midlöv, Niklas Mattsson-Carlgren, Beata Borgström Bolmsjö, Erik Stomrud, Maria H Nilsson, Oskar Hansson, Sietske A M Sikkes, Sebastian Palmqvist
{"title":"Clinical staging in Swedish primary care using the Amsterdam Instrumental Activities of Daily Living Questionnaire.","authors":"Ayesha Fawad, Sophie M van der Landen, Pontus Tideman, Angela van der Putten-Toorenburg, Elke Butterbrod, Ruben Smith, Danielle van Westen, Susanna Calling, Patrik Midlöv, Niklas Mattsson-Carlgren, Beata Borgström Bolmsjö, Erik Stomrud, Maria H Nilsson, Oskar Hansson, Sietske A M Sikkes, Sebastian Palmqvist","doi":"10.1002/dad2.70344","DOIUrl":"https://doi.org/10.1002/dad2.70344","url":null,"abstract":"<p><strong>Introduction: </strong>We assessed the accuracy of the Amsterdam Instrumental Activities of Daily Living Questionnaire (A-IADL-Q) for clinical staging in Swedish primary care.</p><p><strong>Methods: </strong>Participants from the Swedish BioFINDER Primary Care study were included. Discriminative performance of the A-IADL-Q was evaluated using receiver operating curves. Multinomial and linear regression models assessed associations among A-IADL-Q scores, clinical stage, demographics, cognition, and comorbidities.</p><p><strong>Results: </strong>Among 623 patients, 148 (23.8%) had subjective cognitive decline (SCD), 274 (43.9%) mild cognitive impairment (MCI), and 201 (32.3%) dementia with a mean (standard deviation) age of 76.7 (7.3). The area under the curve (95% confidence interval) for discriminating between SCD versus MCI/dementia was 0.89 (0.86-0.91) and for SCD/MCI versus dementia 0.89 (0.87-0.92). Age (<i>β</i> = -0.25), Mini-Mental State Examination (<i>β</i> = 0.91) and Montreal Cognitive Assessment (<i>β</i> = 0.57), but no other demographics and comorbidities, were associated with the A-IADL-Q.</p><p><strong>Discussion: </strong>The A-IADL-Q may help primary care physicians determine clinical stage and shows promise for use to adequately refer patients to secondary or tertiary care.</p>","PeriodicalId":53226,"journal":{"name":"Alzheimer''s and Dementia: Diagnosis, Assessment and Disease Monitoring","volume":"18 ","pages":"e70344"},"PeriodicalIF":4.4,"publicationDate":"2026-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13109652/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147789239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Barbara R Cardoso, Euridice Martinez Steele, Barbara Brayner, Xinyi Yuan, Lisa Bransby, Hannah Cummins, Yen Ying Lim, Priscila Machado
{"title":"Ultra-processed food intake, cognitive function, and dementia risk: A cross-sectional study of middle-aged and older Australian adults.","authors":"Barbara R Cardoso, Euridice Martinez Steele, Barbara Brayner, Xinyi Yuan, Lisa Bransby, Hannah Cummins, Yen Ying Lim, Priscila Machado","doi":"10.1002/dad2.70335","DOIUrl":"https://doi.org/10.1002/dad2.70335","url":null,"abstract":"<p><strong>Introduction: </strong>Ultra-processed food (UPF) consumption is linked to over 30 adverse health outcomes, including several risk factors for dementia such as cardiovascular disease, type 2 diabetes, and obesity. We aimed to examine the association of UPF consumption with cognitive performance and dementia risk scores, and whether these associations are independent of overall diet quality.</p><p><strong>Methods: </strong>This cross-sectional analysis assessed 2,192 Australian dementia-free adults aged 40-70 years. Diet was assessed using a validated food frequency questionnaire and classified according to the Nova system. Cognitive function was measured using the Cogstate Brief Battery, and dementia risk was estimated with the CAIDE tool.</p><p><strong>Results: </strong>Each 10% increase in UPF intake was associated with lower attention scores (-0.05 points) and higher dementia risk (+0.24 points), independent of Mediterranean diet adherence.</p><p><strong>Discussion: </strong>Higher UPF consumption is associated with poorer attention and increased modifiable dementia risk, independent of overall diet quality.</p>","PeriodicalId":53226,"journal":{"name":"Alzheimer''s and Dementia: Diagnosis, Assessment and Disease Monitoring","volume":"18 ","pages":"e70335"},"PeriodicalIF":4.4,"publicationDate":"2026-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13104065/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147788846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohammed Alghamdi, Frederic von Wegner, Daniel Kam Yin Chan, Michael Green
{"title":"Brain atrophy and clinical diagnosis independently predict default mode network failure across the Alzheimer's disease continuum.","authors":"Mohammed Alghamdi, Frederic von Wegner, Daniel Kam Yin Chan, Michael Green","doi":"10.1002/dad2.70343","DOIUrl":"https://doi.org/10.1002/dad2.70343","url":null,"abstract":"<p><strong>Introduction: </strong>This study examined the link between default mode network (DMN) functional connectivity, cerebral small vessel disease (CSVD), brain atrophy, and plasma Alzheimer's disease (AD) biomarkers.</p><p><strong>Methods: </strong>We analyzed the Alzheimer's Disease Neuroimaging Initiative database (<i>N</i> = 279), examining the relationships between DMN functional integrity (network failure quotient [NFQ]), gray and white matter fractions (GMF, WMF), white matter hyperintensities (WMHs), plasma phosphorylated tau (p-tau)217 and amyloid beta (Aβ)42/Aβ40 ratio, and clinical assessments. Statistical associations were tested using one-way analysis of variance and univariate and multivariate regression models.</p><p><strong>Results: </strong>The AD group showed increased NFQ values (<i>P</i> < 0.001). Significant univariate associations were found between NFQ and WMH, gray and white matter atrophy, Aβ ratio, and p-tau217 (<i>P</i> < 0.05). Atrophy markers (GMF, WMF) and AD diagnosis were the only independent predictors of NFQ in multivariate models (<i>P</i> < 0.05).</p><p><strong>Discussion: </strong>Our study identifies markers of brain atrophy as independent predictors of DMN failure, unlike AD plasma biomarkers and magnetic resonance imaging markers of CSVD.</p>","PeriodicalId":53226,"journal":{"name":"Alzheimer''s and Dementia: Diagnosis, Assessment and Disease Monitoring","volume":"18 ","pages":"e70343"},"PeriodicalIF":4.4,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13099581/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147789172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}