Evan G Starr, Jasleen Dhaliwal, Michael G McLatchey, Nathan P Young, Benjamin Lai
{"title":"Neurons on the rocks: A case of alcohol use and early onset Alzheimer's disease.","authors":"Evan G Starr, Jasleen Dhaliwal, Michael G McLatchey, Nathan P Young, Benjamin Lai","doi":"10.1177/25424823261459404","DOIUrl":"https://doi.org/10.1177/25424823261459404","url":null,"abstract":"<p><p>A 46-year-old female was admitted to the hospital for confusion, cognitive decline, and hallucinations with alcohol withdrawal. Her history was notable for Alcohol use disorder (AUD) and family history of Alzheimer's disease (AD). Comprehensive workup was unrevealing for metabolic encephalopathy, infection, or nutritional deficiencies. Phosphatidyl ethanol level was 1181, indicating severe alcohol misuse. Phospho-Tau 217 testing raised suspicion of AD and FDG-PET scan confirmed patterns consistent with early onset AD. AUD can precipitate earlier or more severe onset of AD. Phospho-Tau 217 can be a useful screening marker to identify people at risk of AD to prompt intensive treatment.</p>","PeriodicalId":73594,"journal":{"name":"Journal of Alzheimer's disease reports","volume":"10 ","pages":"25424823261459404"},"PeriodicalIF":2.8,"publicationDate":"2026-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13662291/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149198418","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":"Dementia and cognitive decline in incarcerated populations: Overall considerations for health policy.","authors":"Bilal Irfan, Barock Tesfaye, Isaiah Singer","doi":"10.1177/25424823261456231","DOIUrl":"10.1177/25424823261456231","url":null,"abstract":"","PeriodicalId":73594,"journal":{"name":"Journal of Alzheimer's disease reports","volume":"10 ","pages":"25424823261456231"},"PeriodicalIF":2.8,"publicationDate":"2026-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13662359/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149198222","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":"Selective impairment in musical chord Reading in posterior cortical atrophy: A case study of integrative visual agnosia.","authors":"Hiroyuki Ogino, Fumie Saito, Keisuke Takahata, Masanori Ichihashi, Yuki Momota, Mirai So, Masaru Mimura, Michitaka Funayama","doi":"10.1177/25424823261451824","DOIUrl":"https://doi.org/10.1177/25424823261451824","url":null,"abstract":"<p><strong>Background: </strong>Posterior cortical atrophy (PCA) is a rare neurodegenerative disorder characterized by visuospatial and/or visuoperceptual deficits, resulting from atrophy in the occipitoparietal and/or occipitotemporal cortices. Among reported cases, visuoperceptual deficits are less commonly described compared to visuospatial impairments.</p><p><strong>Objective: </strong>To address this gap, we present a qualitative behavioral observation of an individual with PCA in which visuoperceptual deficits manifested as symbolically intuitive symptoms.</p><p><strong>Methods: </strong>This case study examines a 58-year-old female with PCA whose primary symptom was difficulty reading chords on musical scores, despite being able to perceive their overall shape and having no difficulty reading individual notes or other musical symbols such as flats (♭) and sharps (♯). Her challenges are discussed within the framework of integrative visual agnosia, a condition involving the inability to synthesize partial visual inputs into cohesive wholes. A comprehensive neuropsychological evaluation was performed, and brain imaging-including positron emission tomography (PET)-was used to explore underlying pathology.</p><p><strong>Results: </strong>Neuropsychological testing revealed severe alexia, characterized by word-by-word reading, and visual object agnosia with minimal visuospatial deficits. These visuoperceptual impairments were marked by fragmented perception of objects and failure to integrate parts as object complexity increased. Imaging showed left-dominant occipitotemporal abnormalities consistent with Alzheimer's disease pathology, confirmed by amyloid-β and tau PET findings.</p><p><strong>Conclusions: </strong>This case highlights the diagnostic challenges clinicians face in recognizing visuoperceptual deficits in PCA. The individual's integrative visual agnosia, exemplified by her difficulty interpreting musical chords, offers valuable insight into how such deficits manifest in daily activities.</p>","PeriodicalId":73594,"journal":{"name":"Journal of Alzheimer's disease reports","volume":"10 ","pages":"25424823261451824"},"PeriodicalIF":2.8,"publicationDate":"2026-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13662351/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149198414","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}
Elias Granadillo, Abigail Peterson, Emilie Bloyer, Laura M Hancock, Priyanka Shah-Basak, Peter Kraegel, Shelby Schold, Ozioma Okonkwo, Veena A Nair, Vivek Prabhakaran, Chrysanthy Ikonomidou
{"title":"Multifield extended high-definition transcranial direct current stimulation in mild cognitive impairment: A proof-of-concept study on cognition and brain network connectivity.","authors":"Elias Granadillo, Abigail Peterson, Emilie Bloyer, Laura M Hancock, Priyanka Shah-Basak, Peter Kraegel, Shelby Schold, Ozioma Okonkwo, Veena A Nair, Vivek Prabhakaran, Chrysanthy Ikonomidou","doi":"10.1177/25424823261449802","DOIUrl":"10.1177/25424823261449802","url":null,"abstract":"<p><strong>Background: </strong>Treatment of mild cognitive impairment (MCI) could delay the progression of cognitive decline. Noninvasive neuromodulation might restore brain plasticity and lead to clinically meaningful cognitive improvements.</p><p><strong>Objective: </strong>To investigate feasibility and tolerability of a multi-field (four regions) extended (80-min-long) intervention using high-definition transcranial direct current stimulation (HD-tDCS) combined with computerized cognitive training (CCT) in participants with MCI and to explore its effects on cognition and brain functional connectivity.</p><p><strong>Methods: </strong>Double-blinded, randomized proof-of-concept trial of daily sham HD-tDCS + CCT (n = 4) or anodal HD-tDCS + CCT (n = 4) for 15 sessions over 3 months. Four cortical regions were targeted using neuronavigation, including putative frontal coordinates of cognitive reserve and lateral parietal coordinates hypothesized to have robust hippocampal connectivity. Neurocognitive outcomes were assessed at 3 and 6 months and resting-state functional connectivity changes were evaluated at 3 months. Statistical analysis included independent sample t-tests, Wilcoxon rank-sum tests, and Bonferroni correction for multiple comparisons.</p><p><strong>Results: </strong>Eleven subjects were eligible and interviewed, and 8 consented (73% consent rate). All 8 completed the trial with only minor adverse events (100% completion rate). Blinding was successful. A large but non-significant increase in Alzheimer's Disease Cooperative Study-Preclinical Alzheimer's Cognitive Composite scores at 6 months was observed in the anodal group (59.8%) compared with sham (24.5%). Significant declines were seen in left parietal cortex-left caudal hippocampus connectivity (p = 0.004) and right intraparietal sulcus-right frontal eye fields connectivity (p = 0.039) in the anodal group.</p><p><strong>Conclusions: </strong>The intervention was feasible and well tolerated. Findings suggest possible normalization of aberrant or compensatory hyperconnectivity in MCI. Larger studies are needed.<b>Clinical Trial Number:</b> NCT04246164.</p>","PeriodicalId":73594,"journal":{"name":"Journal of Alzheimer's disease reports","volume":"10 ","pages":"25424823261449802"},"PeriodicalIF":2.8,"publicationDate":"2026-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13662315/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149198409","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}
Hong Xu, Yutong Nie, Siying Li, Junman Ye, Qiaorong Huang, Wentong Meng, Xue Li, Xianming Mo
{"title":"Genetic instrumental variable analysis reveals multivariate dietary patterns beneficial to patients with Alzheimer's disease.","authors":"Hong Xu, Yutong Nie, Siying Li, Junman Ye, Qiaorong Huang, Wentong Meng, Xue Li, Xianming Mo","doi":"10.1177/25424823261451159","DOIUrl":"10.1177/25424823261451159","url":null,"abstract":"<p><strong>Background: </strong>Dietary patterns (DPs) are important in the modulation of the pathogenesis of Alzheimer's disease (AD) and progression of neurodegeneration. However, literature reports are inconsistent in studies examining how DPs benefit AD patients.</p><p><strong>Objective: </strong>To assess potential causal links between diets and AD risk occurrence.</p><p><strong>Methods: </strong>Based on comprehensive genome-wide association studies data, potential links between diets and AD risk were assessed by conventional and advanced Mendelian randomization and sensitivity analyses using single nucleotide polymorphisms as genetic instruments.</p><p><strong>Results: </strong>Protein (95% CI: -0.280 to -0.250), fat (95% CI: -0.091 to -0.042), and carbohydrates (95% CI: -0.048 to -0.021) displayed protective roles in AD. The role of sugar, one component of carbohydrates, was ambiguous in development of AD. 24 DPs derived from daily diet habits were negative in the association with AD and 24 DPs of daily diet habits positively associated with AD. Many single diet factors such as beer, decaffeinated coffee, non-oily fish, lamb/mutton, and biscuit cereal were found to display harmful or protective roles in AD development and progress. However, their roles were varied in DPs of individual diet habits and showed significant positive or negative loadings to AD risks dependent on DPs, not dependent on single diet factors themselves.</p><p><strong>Conclusions: </strong>Significantly detrimental or protective loadings to AD risks are dependent on DPs of individuals, not dependent on the single diet factor itself. Data here suggests that, for principles, daily DPs should balance protein, fat, including saturated fatty acids and unsaturated fatty acids, and carbohydrates to prevent AD development and progress.</p>","PeriodicalId":73594,"journal":{"name":"Journal of Alzheimer's disease reports","volume":"10 ","pages":"25424823261451159"},"PeriodicalIF":2.8,"publicationDate":"2026-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13662294/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149186735","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}
Katherine Edwards, Tamar Ginossar, Steven P Verney, Alfonso Cheromiah, Teresa Meehan, Malanie Garcia, Mallery Quetawki, Nicholas Shaff, Natalie Hoffman, Jillian Prestopnik, Gary Rosenberg, Annalise Rahman-Filipiak, Jessica D Richardson, Vallabh Shah, Sephira Ryman
{"title":"What does dementia mean to you? Perceptions of dementia and aging among Indigenous older adults living in a Pueblo community.","authors":"Katherine Edwards, Tamar Ginossar, Steven P Verney, Alfonso Cheromiah, Teresa Meehan, Malanie Garcia, Mallery Quetawki, Nicholas Shaff, Natalie Hoffman, Jillian Prestopnik, Gary Rosenberg, Annalise Rahman-Filipiak, Jessica D Richardson, Vallabh Shah, Sephira Ryman","doi":"10.1177/25424823261448577","DOIUrl":"10.1177/25424823261448577","url":null,"abstract":"<p><strong>Background: </strong>Alzheimer's disease (AD) and related dementias (ADRD) are a rapidly growing cause of morbidity and mortality in the United States, yet little is known about how these conditions are understood within American Indian (AI) communities. Limited alignment between biomedical models and community conceptualizations may hinder culturally appropriate care and research engagement.</p><p><strong>Objective: </strong>This study aimed to explore how aging and dementia are conceptualized among older adults in a Pueblo community, with the goal of informing culturally congruent dementia care, education, and research practices.</p><p><strong>Methods: </strong>In partnership with a local health and wellness center and tribal government, semi-structured interviews and questionnaires were administered to 32 older AI adults in a Pueblo community in New Mexico. Data were analyzed using thematic qualitative methods to identify perspectives on aging and dementia.</p><p><strong>Results: </strong>Dementia was described as memory loss, diminished independence, or altered sense of self. Explanations of causation extended beyond biomedical models to encompass lifestyle, psychological, historical, and environmental factors.</p><p><strong>Conclusions: </strong>Findings underscore the importance of understanding community-specific distinctions between \"normal\" and \"abnormal\" aging. Culturally grounded approaches that build trust, reduce uncertainty, and support open dialogue are essential for developing meaningful dementia education, assessment, and care that are community-driven and culturally responsive.</p>","PeriodicalId":73594,"journal":{"name":"Journal of Alzheimer's disease reports","volume":"10 ","pages":"25424823261448577"},"PeriodicalIF":2.8,"publicationDate":"2026-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13662317/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149186607","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":"Identifying influential environmental drivers of Alzheimer's disease at the county level using machine learning and explainable artificial intelligence.","authors":"Ria Martins, Yanni Cao, Jianyong Wu","doi":"10.1177/25424823261449503","DOIUrl":"10.1177/25424823261449503","url":null,"abstract":"<p><strong>Background: </strong>Alzheimer's disease (AD) prevalence varies substantially across United States (US) counties, yet the combined influence of environmental and socioeconomic factors remains incompletely characterized.</p><p><strong>Objective: </strong>This study bridges this gap by employing machine learning combined with explainable artificial intelligence to identify and interpret key environmental drivers of AD prevalence across US counties.</p><p><strong>Methods: </strong>Utilizing county-level AD prevalence data linked with comprehensive environmental and socioeconomic indicators, we applied an eXtreme Gradient Boosting (XGBoost) regression framework. SHapley Additive exPlanations (SHAP) were used to evaluate global and local feature contributions.</p><p><strong>Results: </strong>The final model demonstrated stable performance (RMSE: 0.89 ± 0.04; R<sup>2</sup>: 0.62 ± 0.03). Among 15 selected factors, chloride precipitation and median household value emerged as the most influential predictors. Additional significant drivers included land-use metrics (open land, walkability), atmospheric deposition, and localized industrial exposures. SHAP analysis revealed nonlinear, threshold-like increases in predicted AD prevalence at higher chloride levels, while geographic mapping identified regionally distinct exposure profiles.</p><p><strong>Conclusions: </strong>Geospatial analysis and explainable AI demonstrate that AD prevalence is driven by interacting environmental toxicants and socioeconomic disadvantages. This \"exposome\" perspective highlights that mitigating environmental hazards and systemic inequities is critical for reducing the neurodegenerative disease burden.</p>","PeriodicalId":73594,"journal":{"name":"Journal of Alzheimer's disease reports","volume":"10 ","pages":"25424823261449503"},"PeriodicalIF":2.8,"publicationDate":"2026-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13662355/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149185944","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 characteristic patterns of dynamic network reconfiguration underlying subjective cognitive decline.","authors":"Zhihong Ke, Dan Yang, Zhixin Zhou, Wenqian Gao, Shuang Fang, Zheqi Hu, Chengbing Gong, Yue Cheng, Hui Zhao, Yun Xu","doi":"10.1177/25424823261451212","DOIUrl":"10.1177/25424823261451212","url":null,"abstract":"<p><strong>Background: </strong>Although dynamic network reconfiguration is altered in Alzheimer's disease (AD), its pattern in subjective cognitive decline (SCD), an early preclinical stage, remains unclear.</p><p><strong>Objective: </strong>This study aims to identify the characteristics of dynamic network reconfiguration in SCD individuals compared to healthy controls (HCs) and AD patients.</p><p><strong>Methods: </strong>Time-varying multilayer network models were built for AD (n = 111), SCD (n = 115), and HC (n = 111) groups using the GenLouvain algorithm. We compared dynamic reconfiguration features across groups and examined how abnormal reconfiguration affects the relationship between amyloid-β (Aβ) pathology and cognition.</p><p><strong>Results: </strong>SCD individuals showed higher global recruitment and lower global integration than AD patients, and lower integration than HCs. At the nodal level, SCD was marked by increased recruitment and reduced integration in regions mainly within the default mode network (DMN) and somatomotor network (SMN). In SCD, recruitment in the left anterior insula and ventral frontal cortex linked Aβ pathology to memory performance. In AD, integration in the left superior frontal gyrus mediated the effects of Aβ on memory and verbal fluency. The combination of differences in nodal recruitment and integration across groups helped distinguish between healthy, SCD, and AD individuals.</p><p><strong>Conclusions: </strong>SCD individuals show distinct patterns of dynamic network reconfiguration, high recruitment, and low integration in DMN and SMN, offering new insights into early AD pathophysiology.</p>","PeriodicalId":73594,"journal":{"name":"Journal of Alzheimer's disease reports","volume":"10 ","pages":"25424823261451212"},"PeriodicalIF":2.8,"publicationDate":"2026-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13662340/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149186546","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":"Tolerability of lemborexant for cognitive function and sleep quality in patients with dementia with Lewy bodies.","authors":"Shoya Inagawa, Ryo Yamamoto, Yuta Inagawa, Makoto Nakajima, Yukari Matsumoto, Akito Tsugawa, Tomohiko Sato, Soichiro Shimizu","doi":"10.1177/25424823261445626","DOIUrl":"https://doi.org/10.1177/25424823261445626","url":null,"abstract":"<p><p>We investigated the effects of an orexin receptor antagonist on sleep profiles assessed by actigraphy, and cognitive function in patients with dementia with Lewy bodies (DLB). Thirteen probable DLB patients who were taking an orexin receptor antagonist for insomnia were recruited and underwent actigraphy before and after taking lemborexant. Cognitive function and severity of sleep disturbance were compared before and after taking lemborexant. No significant differences in sleep quality and cognitive function were observed in DLB patients between before and after taking lemborexant. These results suggest the tolerability of lemborexant in patients with DLB.</p>","PeriodicalId":73594,"journal":{"name":"Journal of Alzheimer's disease reports","volume":"10 ","pages":"25424823261445626"},"PeriodicalIF":2.8,"publicationDate":"2026-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13662296/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149198142","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}
Ehsan Ahmed, Azizur Rahman, Abdullah Yusuf, Mohammad Sayeed Hassan, Adneen Moureen, Mohammad Nur Uddin, Maliha Hakim
{"title":"Emulating clinician-assigned diagnostic patterns of Alzheimer's disease in a tertiary neurology hospital using interpretable Bayesian machine learning.","authors":"Ehsan Ahmed, Azizur Rahman, Abdullah Yusuf, Mohammad Sayeed Hassan, Adneen Moureen, Mohammad Nur Uddin, Maliha Hakim","doi":"10.1177/25424823261450905","DOIUrl":"https://doi.org/10.1177/25424823261450905","url":null,"abstract":"<p><strong>Background: </strong>Accurate differentiation of Alzheimer's disease (AD) from other causes of cognitive impairment remains a major challenge, particularly in low- and middle-income countries where access to advanced biomarkers such as positron emission tomography or cerebrospinal fluid analysis is limited. Interpretable machine learning models using routinely available clinical and neuroimaging features may support care by standardizing and replicating expert clinical decision-making.</p><p><strong>Objective: </strong>To evaluate an interpretable Bayesian machine learning framework for analyzing and emulating expert clinician-assigned diagnostic patterns for AD versus non-AD cases.</p><p><strong>Methods: </strong>We conducted a retrospective cross-sectional analysis of 687 adults evaluated for cognitive impairment at a tertiary neurology hospital in Bangladesh. Demographic, clinical, cognitive, and MRI-based visual rating scales including medial temporal atrophy and Fazekas white-matter hyperintensity scores were used to model the clinical AD diagnoses. Logistic regression was compared with two Bayesian machine learning approaches. Model performance was assessed using discrimination metrics, balanced accuracy, and decision curve analysis. Model interpretability was examined using Shapley Additive Explanations.</p><p><strong>Results: </strong>Among the evaluated models, Bayesian additive regression trees demonstrated the highest discriminative performance (AUC = 0.903) in reconstructing the clinical diagnostic process. Medial temporal atrophy, Fazekas score, age, Mini-Mental State Examination score, depression, and slow gait emerged as the most influential features driving the clinical AD diagnosis. Bayesian models showed improved balance between sensitivity and specificity compared with logistic regression.</p><p><strong>Conclusions: </strong>Interpretable Bayesian machine learning models can successfully capture and emulate expert clinical diagnostic patterns. Such models offer a valuable quantitative clinical audit tool to make implicit diagnostic weightings transparent and standardize dementia evaluation.</p>","PeriodicalId":73594,"journal":{"name":"Journal of Alzheimer's disease reports","volume":"10 ","pages":"25424823261450905"},"PeriodicalIF":2.8,"publicationDate":"2026-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13662316/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149198303","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}