In one paragraphArticle in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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What it found
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2 · The registryThe trial behind it
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3 · Its place in the literatureWho cites it
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4 · The recordCorrections and comments
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5 · Who and what moneyAuthors and funding
17 authors.
Huitong DingDepartment of Anatomy and Neurobiology, Avedisian School of Medicine, Boston University Chobanian, Boston, MA, United States.ORCID 0000-0001-6495-3087 Katherine GiffordDepartment of Anatomy and Neurobiology, Avedisian School of Medicine, Boston University Chobanian, Boston, MA, United States.ORCID 0000-0001-6232-9408 Kristi HoDepartment of Anatomy and Neurobiology, Avedisian School of Medicine, Boston University Chobanian, Boston, MA, United States.ORCID 0000-0002-2576-9831 Salman RahmanDepartment of Anatomy and Neurobiology, Avedisian School of Medicine, Boston University Chobanian, Boston, MA, United States.ORCID 0009-0009-5225-3150 Akwaugo IgweDepartment of Anatomy and Neurobiology, Avedisian School of Medicine, Boston University Chobanian, Boston, MA, United States.ORCID 0009-0006-1267-8478 Spencer LowDepartment of Anatomy and Neurobiology, Avedisian School of Medicine, Boston University Chobanian, Boston, MA, United States.ORCID 0000-0003-1841-6701 Zachary PoppDepartment of Anatomy and Neurobiology, Avedisian School of Medicine, Boston University Chobanian, Boston, MA, United States.ORCID 0009-0001-7935-5300 Edward SearlsDepartment of Anatomy and Neurobiology, Avedisian School of Medicine, Boston University Chobanian, Boston, MA, United States.ORCID 0009-0004-8678-8392 Zexu LiDepartment of Anatomy and Neurobiology, Avedisian School of Medicine, Boston University Chobanian, Boston, MA, United States.ORCID 0009-0008-3838-4480 Sanskruti MadanDepartment of Anatomy and Neurobiology, Avedisian School of Medicine, Boston University Chobanian, Boston, MA, United States.ORCID 0009-0002-2834-6364 Alexa BurkDepartment of Anatomy and Neurobiology, Avedisian School of Medicine, Boston University Chobanian, Boston, MA, United States.ORCID 0009-0006-1545-5456 Phillip H HwangDepartment of Anatomy and Neurobiology, Avedisian School of Medicine, Boston University Chobanian, Boston, MA, United States.ORCID 0000-0001-6780-6808 Ileana De Anda-DuranSchool of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States.ORCID 0000-0003-3629-9465 Vijaya B KolachalamaDepartment of Anatomy and Neurobiology, Avedisian School of Medicine, Boston University Chobanian, Boston, MA, United States.ORCID 0000-0002-5312-8644 Rhoda AuDepartment of Anatomy and Neurobiology, Avedisian School of Medicine, Boston University Chobanian, Boston, MA, United States.ORCID 0000-0001-7742-4491 Honghuang LinDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States.ORCID 0000-0003-3043-3942 Funding
TBDU19AG068753 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Lindsay A. Farrer · 2020 to 2026
$42.4MValidating novel sleep sensors and devices in older adults with Alzheimer's diseaseP30AG073107 · NIA · UNIVERSITY OF MASSACHUSETTS AMHERST · PI Benjamin M. Marlin · 2021 to 2026
$32.0MNeuropathology CoreP30AG013846 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI KOWALL, NEIL W. · 1996 to 2020
$29.1MPRECURSORS OF STROKE INCIDENCE AND PROGNOSISR01NS017950 · NINDS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Hugo Javier Aparicio, Jose Rafael Romero · 1985 to 2026
$22.9MEPIDEMIOLOGY OF DEMENTIA IN THE FRAMINGHAM STUDYR01AG008122 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI AU, RHODA, SESHADRI, SUDHA · 1989 to 2015
$14.4MMRI, Genetics &Cognitive Precursors of AD &DementiaR01AG016495 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI AU, RHODA · 1999 to 2016
$12.5MSocial and behavioral determinants of health and Alzheimer’s Disease: Cohort study of the US military veteran populationR01AG080670 · NIA · UNIVERSITY OF MASSACHUSETTS LOWELL · PI HONG YU · 2023 to 2026
$4.5MRe-visiting Methods for MCI Diagnosis to Improve Biomarker and Trial FindingsR01AG049810 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BONDI, MARK W, EDLAND, STEVEN DYAL · 2016 to 2020
$3.7MEpigenetic changes in synaptic and inflammatory genes involved in the age-dependent development of Alzheimer's disease pathologies andcognitive declineRF1AG054156 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI AU, RHODA, RYU, HOON · 2016 to 2018
$3.4MAssessing Alzheimer disease risk and heterogeneity using multimodal machine learning approachesU01AG068221 · NIA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI DESTEFANO, ANITA L, LIN, HONGHUANG · 2021 to 2024
$2.5MDigital Cognitive Assessment of Preclinical Alzheimer's Disease and Related DementiasR01AG083735 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Rhoda Au, Vijaya B. Kolachalama · 2024 to 2026
$2.4MCognitive Heterogeneity in those with high Alzheimer's Disease RiskRF1AG062109 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI AU, RHODA · 2020 to 2021
$1.8MNHLBI NIH HHS N01 HC025195NHLBI NIH HHS R21 HL175584NIA NIH HHS P30 AG013846NIA NIH HHS P30 AG073107NIA NIH HHS R01 AG008122NIA NIH HHS R01 AG016495NIA NIH HHS R01 AG049810NIA NIH HHS R01 AG062109NIA NIH HHS R01 AG072654NIA NIH HHS R01 AG080670NIA NIH HHS R01 AG083735NIA NIH HHS R56 AG062109NIA NIH HHS RF1 AG054156NIA NIH HHS RF1 AG062109NIA NIH HHS U01 AG068221NIA NIH HHS U19 AG068753NINDS NIH HHS R01 NS017950
6 · The paper itselfAbstract
backgroundAlthough digital technology represents a growing field aiming to revolutionize early Alzheimer disease risk prediction and monitoring, the perspectives of older adults on an integrated digital brain health platform have not been investigated.
objectiveThis study aims to understand the perspectives of older adults on a digital brain health platform by conducting semistructured interviews and analyzing their transcriptions by natural language processing.
methodsThe study included 28 participants from the Boston University Alzheimer's Disease Research Center, all of whom engaged with a digital brain health platform over an initial assessment period of 14 days. Semistructured interviews were conducted to collect data on participants' experiences with the digital brain health platform. The transcripts generated from these interviews were analyzed using natural language processing techniques. The frequency of positive and negative terms was evaluated through word count analysis. A sentiment analysis was used to measure the emotional tone and subjective perceptions of the participants toward the digital platform.
resultsWord count analysis revealed a generally positive sentiment toward the digital platform, with "like," "well," and "good" being the most frequently mentioned positive terms. However, terms such as "problem" and "hard" indicated certain challenges faced by participants. Sentiment analysis showed a slightly positive attitude with a median polarity score of 0.13 (IQR 0.08-0.15), ranging from -1 (completely negative) to 1 (completely positive), and a median subjectivity score of 0.51 (IQR 0.47-0.53), ranging from 0 (completely objective) to 1 (completely subjective). These results suggested an overall positive attitude among the study cohort.
conclusionsThe study highlights the importance of understanding older adults' attitudes toward digital health platforms amid the comprehensive evolution of the digitalization era. Future research should focus on refining digital solutions to meet the specific needs of older adults, fostering a more personalized approach to brain health.
Indexed as
Natural Language ProcessingAgedAged, 80 and overAlzheimer DiseaseCohort StudiesDigital TechnologyFemaleHumansInterviews as TopicMaleMiddle AgedQualitative Researchdigital brain healthmobile phonenatural language processingolder adultsperspectivessemistructured interviews
Identifiers
PMID39556805
PMCPMC11612578
What OpenQuestion holds
Textmetadata
LicenceCC BY
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