{"id":800,"date":"2024-03-05T20:48:51","date_gmt":"2024-03-06T01:48:51","guid":{"rendered":"https:\/\/www.bumc.bu.edu\/pbhi\/?page_id=800"},"modified":"2026-06-18T09:57:53","modified_gmt":"2026-06-18T13:57:53","slug":"recent-publications","status":"publish","type":"page","link":"https:\/\/www.bumc.bu.edu\/pbhi\/news-updates\/recent-publications\/","title":{"rendered":"Publications & Development"},"content":{"rendered":"

2026:<\/span><\/h2>\n

Better sleep now, better cognition later? Predicting cognitive function using a machine learning-based sleep EEG brain health score<\/span> (Sleep)<\/i><\/b><\/a><\/p>\n

Effectiveness of Self\u2010Administered Mobile Assessment in Detecting Mild Cognitive Impairment (Alzheimer’s & Dementia Journal)<\/strong><\/em><\/a><\/p>\n

Gender differences in informal caregiving costs and burden in Alzheimer disease: a multinational cross-sectional analysis<\/span> (Springer Nature)<\/i><\/b><\/a><\/p>\n

Resource-stratified machine learning framework for cognitive status classification and mild cognitive impairment to dementia progression prediction <\/span>(Springer Nature)<\/i><\/b><\/a><\/p>\n

2025:\u00a0<\/span><\/h2>\n

Physical activity over the adult life course and risk of dementia in the Framingham Heart Study<\/span> (JAMA Network Open)<\/i><\/b><\/a><\/p>\n

Higher vitamin B12 from mid- to late life is related to slower rates of cognitive decline <\/span>(Alzheimer’s & Dementia)<\/i><\/b><\/a><\/p>\n

Association between education and rate of cognitive decline among individuals with Alzheimer’s disease: A multi-national European observational study <\/span>(Sage Journals)<\/i><\/b><\/a><\/p>\n

Integrating Clinical and Social Determinants of Health Data for Alzheimer’s Disease Risk Prediction: A Machine Learning Approach Using UK Biobank <\/span>(SSRN)<\/i><\/b><\/a><\/p>\n

Association of the digital clock drawing test with amyloid and tau PET biomarkers in low age risk adults <\/span>(Scientific reports)<\/i><\/b><\/a><\/p>\n

Developing an accessible dementia assessment tool: Leveraging a residual network, the trail making test, and demographic data <\/span>(Sage Journals)<\/i><\/b><\/a><\/p>\n

Obfuscation via pitch-shifting for balancing privacy and diagnostic utility in voice-based cognitive assessment <\/span>(Alzheimer’s Association)<\/i><\/b><\/a><\/p>\n

Test Complexity and Speed-Accuracy Dynamics Influence Practice Effects on Repeated Digital Self-Administered Cognitive Tasks <\/span>(Archives of Clinical Neuropsychology)<\/i><\/b><\/a><\/p>\n

Association of the digital clock drawing test with amyloid and tau PET biomarkers in low age risk adults <\/span>(Scientific reports)<\/i><\/b><\/a><\/p>\n

Task Complexity Amplifies Practice Effects on Quarterly Self-Administered Cognitive Tasks <\/span>(JMIR Publications)<\/i><\/b><\/a><\/p>\n

Digital Voice as an Alternative Screening Tool to the Montreal Cognitive Assessment (Alzheimer’s and Dementia Journal)<\/strong><\/em><\/a><\/p>\n

Technological advances enabling an enhanced understanding of early Alzheimer’s disease (Alzheimer’s and Dementia Journal)<\/strong><\/em><\/a><\/p>\n

Practice effects on digital cognitive assessment tools: insights from the defense automated neurobehavioral assessment battery (Alzheimer’s and Dementia Journal)<\/strong><\/a><\/p>\n

Smartwatch- and smartphone-based remote assessment of brain health and detection of mild cognitive impairment (naturemedicine)<\/strong><\/a><\/p>\n

Adherence timescale impacts completion rates of high-frequency mobile cognitive assessments among older adults (Open Exploration)<\/strong><\/em><\/span><\/a><\/p>\n

Dynamic lifetime risk prediction of Alzheimer’s disease with longitudinal cognitive assessment measurements (Alzheimer’s and Dementia Journal)<\/strong><\/em><\/a><\/p>\n

A Network Analysis of Digital Clock Drawing for Command and Copy Conditions (Sage Journals)<\/strong><\/em><\/a><\/p>\n

Digital Assessment of Cognitive Health in Outpatient Primary Care: Usability Study (JMIR Publications)<\/strong><\/em><\/a><\/p>\n

PodGPT: an audio-augmented large language model for research and education (npj Biomedical Innovations)<\/em><\/strong><\/a><\/p>\n

A natural language processing approach to support biomedical data harmonization: Leveraging large language models (PLOS One Journals)<\/strong><\/em><\/a><\/p>\n

Precision neurocognition: An emerging diagnostic paradigm leveraging digital cognitive assessment technology (Sage Journals)<\/strong><\/em><\/a><\/p>\n

Developing digital health technologies for frontotemporal degeneration (Alzheimer’s & Dementia Journal)<\/strong><\/em><\/a><\/p>\n

Health-oriented sleep states: making sleep states reflect health conditions (Sleep Research Society)<\/strong><\/em><\/a>\u00a0<\/strong><\/em><\/p>\n

2024:<\/span><\/h2>\n

AI-based differential diagnosis of dementia etiologies on multimodal data <\/span>(nature medicine)<\/i><\/b><\/a><\/p>\n

Association of DNA methylation age acceleration with digital clock drawing test performance: the Framingham Heart Study<\/span> (medRxiv)<\/i><\/b><\/a><\/p>\n

Cerebral Microbleeds in Different Brain Regions and Their Associations With the Digital Clock-Drawing Test: Secondary Analysis of the Framingham Heart Study <\/span>(JMIR Publications)<\/i><\/b><\/a><\/p>\n

Comparing Cognitive Tests and Smartphone-Based Assessment in 2 US Community-Based Cohorts <\/span>(AHAIASA Journals)\u00a0<\/i><\/b><\/a><\/p>\n

Detection of Mild Cognitive Impairment From Non-Semantic, Acoustic Voice Features: The Framingham Heart Study <\/span>(JMIR Publications)<\/i><\/b><\/a><\/p>\n

Erratum to: Digital Clock Drawing as an Alzheimer’s Disease Susceptibility Biomarker: Associations with Genetic Risk Score and APOE in Older Adults <\/span>(Science Direct)\u00a0<\/i><\/b><\/a><\/p>\n

Exploring cognitive progression subtypes in the Framingham Heart Study<\/span> (Alzheimer’s Association)<\/i><\/b><\/a><\/p>\n

The Relationship between Framingham Stroke Risk Profile on Incident Dementia and Alzheimer’s Disease: A 40-Year Follow-Up Study Highlighting Female Vulnerability <\/span>(Annals of Neurology)<\/i><\/b><\/a><\/p>\n

Speech patterns during memory recall relates to early tau burden across adulthood <\/span>(Alzheimer’s Association)<\/i><\/b><\/a><\/p>\n

Prediction of Alzheimer’s disease progression within 6 years using speech: A novel approach leveraging language models (Alzheimer’s & Dementia Journal)<\/strong><\/a><\/p>\n

Speech patterns during memory recall relates to early tau burden across adulthood (Alzheimer’s & Dementia <\/strong><\/em><\/a>Journal)\u00a0<\/a><\/strong><\/em><\/p>\n

Sex\u2010specific blood biomarkers linked to memory changes in middle\u2010aged adults: The Framingham Heart Study (Alzheimer’s & Dementia Journal)<\/strong><\/em><\/a><\/p>\n

Digital neuropsychological measures by defense automated neurocognitive assessment: reference values and clinical correlates\u00a0(Frontiers in Neurology)<\/em><\/strong><\/a><\/p>\n

Shifting from Active to Passive Monitoring of Alzheimer’s Disease: The State of the Research (Journal of the American Heart Association)<\/strong><\/em><\/a><\/p>\n

Comparing Cognitive Tests and Smartphone\u2010Based Assessment in 2 US Community\u2010Based Cohorts (Journal of the American Heart Association)<\/strong><\/em><\/a><\/p>\n

Design and Feasibility Analysis of a Smartphone\u2010Based Digital Cognitive Assessment Study in the Framingham Heart Study (Journal of the American Heart Association)<\/strong><\/em><\/a><\/p>\n

Challenge of Optimizing Medical Therapy in Heart Failure: Unlocking the Potential of Digital Health and Patient Engagement (Journal of the American Heart Association)<\/strong><\/em><\/a><\/p>\n

American Heart Association Focusing Research Rigor on Digital Health (Journal of the American Heart Association)<\/strong><\/em><\/a><\/p>\n

Digital Clock Drawing as an Alzheimer’s Disease Susceptibility Biomarker: Associations with Genetic Risk Score and APOE in Older Adults (The Journal of Prevention of Alzheimer’s Disease)<\/strong><\/em><\/span><\/a><\/p>\n

\n

2023:<\/span><\/h2>\n

Digital phenotyping: An equal opportunity approach to reducing disparities in Alzheimer’s disease and related dementia research (Alzheimer’s & Dementia Journal)<\/strong><\/em><\/a><\/p>\n

Association between acoustic features and brain volumes: the Framingham Heart Study\u00a0(Frontiers in Dementia)<\/strong><\/em><\/a><\/p>\n

Disease-driven domain generalization for neuroimaging-based assessment of Alzheimer’s disease\u00a0(medRxiv)<\/strong><\/em><\/a><\/p>\n

BMI decline patterns and relation to dementia risk across four decades of follow-up in the Framingham Study\u00a0(Alzheimer’s & Dementia Journal)<\/strong><\/em><\/a><\/p>\n

Matching science to reality: how to deploy a participant-driven digital brain health platform (Frontiers in Dementia)<\/strong><\/em><\/a><\/p>\n

\n

2022:<\/span><\/h2>\n

Multimodal deep learning for Alzheimer\u2019s disease dementia assessment\u00a0(Nature Communications)<\/strong><\/em><\/a><\/p>\n

Feasibility of frequent self-administered mobile cognitive assessments in adults with and without cognitive impairment – Abstract (Alzheimer’s & Dementia)<\/strong><\/em><\/a><\/p>\n

Multimodal, longitudinal digital brain health platform using participant-driven study design – Abstract\u00a0(Alzheimer’s & Dementia)<\/strong><\/em><\/a><\/p>\n

Evaluation of COVID on cognitive performance using a mobile application – Abstract\u00a0(Alzheimer’s & Dementia)<\/strong><\/em><\/a><\/p>\n

Davos Alzheimer\u2019s Collaborative: Building a globally representative cohort through a technologically-enabled approach – Abstract\u00a0(Alzheimer’s & Dementia)<\/strong><\/em><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

2026: Better sleep now, better cognition later? Predicting cognitive function using a machine learning-based sleep EEG brain health score (Sleep) Effectiveness of Self\u2010Administered Mobile Assessment in Detecting Mild Cognitive Impairment (Alzheimer’s & Dementia Journal) Gender differences in informal caregiving costs and burden in Alzheimer disease: a multinational cross-sectional analysis (Springer Nature) Resource-stratified machine learning framework […]<\/p>\n","protected":false},"author":22915,"featured_media":0,"parent":661,"menu_order":2,"comment_status":"closed","ping_status":"closed","template":"page-templates\/no-sidebars.php","meta":[],"_links":{"self":[{"href":"https:\/\/www.bumc.bu.edu\/pbhi\/wp-json\/wp\/v2\/pages\/800"}],"collection":[{"href":"https:\/\/www.bumc.bu.edu\/pbhi\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.bumc.bu.edu\/pbhi\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.bumc.bu.edu\/pbhi\/wp-json\/wp\/v2\/users\/22915"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bumc.bu.edu\/pbhi\/wp-json\/wp\/v2\/comments?post=800"}],"version-history":[{"count":25,"href":"https:\/\/www.bumc.bu.edu\/pbhi\/wp-json\/wp\/v2\/pages\/800\/revisions"}],"predecessor-version":[{"id":1806,"href":"https:\/\/www.bumc.bu.edu\/pbhi\/wp-json\/wp\/v2\/pages\/800\/revisions\/1806"}],"up":[{"embeddable":true,"href":"https:\/\/www.bumc.bu.edu\/pbhi\/wp-json\/wp\/v2\/pages\/661"}],"wp:attachment":[{"href":"https:\/\/www.bumc.bu.edu\/pbhi\/wp-json\/wp\/v2\/media?parent=800"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}