August 2, 2017

Hiroko Dodge

  • Hiroko Dodge, PhD

    Milton and Carolyn Kevreson Research Professor of Neurology

    Adjunct Research Associate Professor of Neurology

    Hiroko has over 20 years of experience working as a biostatistician in the dementia research field. In addition to her statistical expertise, her research interests cover a wide range of areas, including behavioral intervention against cognitive decline, epidemiology of dementia and cross cultural comparisons on healthy aging.  Her current NIH funded R01 projects examine whether social interactions through modern communication technologies (e.g., internet and webcams) could improve cognitive functions among socially isolated seniors, recruiting participants from Meals on Wheels programs.   She also has been actively conducting research in Japan: she has a research cohort of healthy seniors in Okinawa, Japan, who have been followed since 2007.  This cohort has been providing opportunities for researchers to examine factors associated with healthy cognitive aging.

    She is the founding chair of a Professional Interest Area (PIA) entitled “Clinical Trials Advancements and Outcomes” in the International Society to Advance Alzheimer’s Research (ISTAART, an international AD research organization sponsored by the Alzheimer’s Association). This PIA creates an international researchers’ forum where innovative clinical trial approaches, developments of outcomes sensitive to trial effects, and unique non-pharmacological trials are being introduced and discussed. She holds Fellow status at the Gerontological Society of America and serves as statistical and senior editors for multiple dementia journals.

    Research Interests

    • Preventions against cognitive decline and dementia (pharmacological and behavioral)
    • Early detections of Alzheimer’s Disease/ Normal cognitive aging
    • Longitudinal data analysis
    • Epidemiology of dementia and mild cognitive impairment
    • Cross national comparisons on factors associated with healthy cognitive aging
    • Application of demographic methods to clinical research
    • Social Epidemiology

    Credentials

    • BA, Tokyo Woman’s Christian University, Tokyo, Japan
    • MA, Demography and Statistics, Pennsylvania State University, State College, PA
    • Ph.D., Demography and Statistics, Pennsylvania State University, State College, PA

  • Selected Active Projects

    NIH/NIA R01AG056102: Web-enabled social interaction to delay cognitive decline among seniors with MCI: Phase I.  PI: Hiroko Dodge (07/2017-08/2022).

    NIH/NIA R01AG051628: Conversational Engagements as a Means to Delay AD Onset: Phase II. PI: Hiroko Dodge (09/2016-08/2021).

    Japan Grants-in-aid for Scientific Research. 14202-06-8102.  The identification of risk factors of stroke and dementia in the community: the Takashima Follow-up study. PI: Hiroko Dodge (04/2016 – 03/2019)

    NIH/NIA U2CAG054397: ORCATECH Collaborative Aging (in Place) Research Using Technology (CART) PI: Jeffrey Kaye, Data Core Director: Hiroko Dodge (09/2016-08/2020).

    NIH/NIA P30 AG008017: Oregon Alzheimer’s Disease Center PI: Jeffrey Kaye, Data Core Director: Hiroko Dodge (04/2015-03/2020).

    NIH/NIA P30 AG053760: Michigan Alzheimer’s Disease Core Center  PI: Henry Paulson, Data Core Director: Hiroko Dodge (08/2016-06/2021)

    Selected Completed Projects

    NIH/NIA R01 AG033581: Conversational engagement as a means to delay Alzheimer’s Disease onset: a randomized controlled trial. PI: Hiroko Dodge (07/2010-06/2014)

     

  • Representative Publications

    2014-2018

    Dodge HH, Zhu J, Woltjer R, Nelson PT, Bennett DA, Cairns NJ, Fardo DW, Kaye JA, Lyons DE, Mattek N, Schneider JA, Silbert LC, Xiong C, Yu L, Schmitt FA, Kryscio RJ, Abner EL, SMART data consortium.: Risk of incident clinical diagnosis of Alzheimer's disease-type dementia attributable to pathology-confirmed vascular disease. Alzheimers Dement 13(6): 613 - 623, 2017. PM28017827/PMC5466467

    Dodge HH, Zhu J, Mattek NC, Austin D, Kornfeld J, Kaye JA: Use of High-Frequency In-Home Monitoring Data May Reduce Sample Sizes Needed in Clinical Trials. PLoS One 10(9): e0138095, 2015. PM26379170/PMC4574479

    Dodge HH, Zhu J, Mattek N, Bowman M, Ybarra O, Wild K, Loewenstein DA, Kaye JA: Web-enabled Conversational Interactions as a Means to Improve Cognitive Functions: Results of a 6-Week Randomized Controlled Trial. Alzheimers & Dementia : Translational Research and Clinical Interventions 1(1): 1-12, 2015. PM26203461/PMC4507295

    Dodge HH, Zhu J, Lee CW, Chang CC, Ganguli M: Cohort effects in age-associated cognitive trajectories J. Gerontol. A Biol. Sci. Med. Sci. 69(6): 687-694, 2014. PM24270062/PMC4022091

    Dodge HH, Ybarra O, Kaye JA: Tools for advancing research into social networks and cognitive function in older adults Int Psychogeriatr 26(4): 533-539, 2014. PM24152936/PMC3654367

    Dodge HH, Katsumata Y, Zhu J, Mattek N, Bowman M, Gregor M, Wild K, Kaye JA: Characteristics associated with willingness to participate in a randomized controlled behavioral clinical trial using home-based personal computers and a webcam. Trials 15: 508, 2014. PM25539637/PMC4307639

    Dodge HH, Zhu J, Harvey D, Saito N, Silbert LC, Kaye JA, Koeppe RA, Albin RL, Alzheimer's Disease Neuroimaging Initiative: Biomarker progressions explain higher variability in stage-specific cognitive decline than baseline values in Alzheimer disease. Alzheimer's & dementia : the journal of the Alzheimer's Association 10(6): 690-703, 2014. PM25022534/PMC4253728

    2009-2013

    Dodge HH, Buracchio TJ, Fisher GG, Kiyohara Y, Meguro K, Tanizaki Y, Kaye JA: Trends in the prevalence of dementia in Japan. International Journal of Alzheimer's Disease 2012: 956354, 2012. PM23091769/PMC3469105

    Dodge HH, Wang CN, Chang CC, Ganguli M: Terminal decline and practice effects in older adults without dementia: the MoVIES project. Neurology 77(8): 722-30, 2011. PM21832224/PMC3164394

    Dodge HH, Katsumata Y, Todoriki H, Yasura S, Willcox DC, Bowman GL, Willcox B, Leonard S, Clemons A, Oken BS, Kaye JA, Traber MG: Comparisons of plasma/serum micronutrients between Okinawan and Oregonian elders: a pilot study. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences 65(10): 1060-7, 2010. PM20643702/PMC3031451

    Dodge HH, Meguro K, Ishii H, Yamaguchi S, Saxton JA, Ganguli M: Cross-cultural comparisons of the Mini-mental State Examination between Japanese and U.S. cohorts. International Psychogeriatrics 21(1): 113-22, 2009. PM18925977/PMC2639652

    2003-2008

    Dodge HH, Kita Y, Takechi H, Hayakawa T, Ganguli M, Ueshima H: Healthy cognitive aging and leisure activities among the oldest old in Japan: Takashima study. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences 63(11): 1193-200, 2008. PM19038834/PMC2646000

    Dodge HH, Zitzelberger T, Oken BS, Howieson D, Kaye J: A randomized placebo-controlled trial of Ginkgo biloba for the prevention of cognitive decline. Neurology 70(19 Pt 2): 1809-17, 2008. PM18305231/PMC2639649

    Dodge HH, Kadowaki T, Hayakawa T, Yamakawa M, Sekikawa A, Ueshima H: Cognitive impairment as a strong predictor of incident disability in specific ADL-IADL tasks among community-dwelling elders: the Azuchi Study. The Gerontologist 45(2): 222-30, 2005. PM15799987

    Dodge HH, Shen C, Pandav R, DeKosky ST, Ganguli M: Functional transitions and active life expectancy associated with Alzheimer disease. Archives of Neurology 60(2): 253-9, 2003. PM12580712

     

  • I-CONECT (Internet-Based Conversational Engagement Clinical Trial)

    Decades of research have shown that social interaction is critical for our health. Individuals in social isolation are shown to have a higher risk of mortality, as well as a higher incidence of cognitive impairment, including Alzheimer’s disease. Six years ago, Dr. Hiroko Dodge and her team started a unique behavioral intervention study to examine whether conversations with study staff using modern internet-based video chat technology could improve cognitive functions. Their first pilot study with six weeks of video chats resulted in encouraging findings, so she and her team are now working on two 5-year-long projects in which the video chat duration will be increased to one year. The team is partnering with local Meals on Wheels groups for recruiting isolated seniors. This is a multi-center clinical trial involving the Oregon Health & Science University, University of Michigan and Wayne State University.

    This series of intervention studies is one of the few behavioral randomized controlled trials focusing on social interactions in the oldest old segment of the population, in which social isolation is becoming a significant social issue. Dr. Dodge’s team is also employing many advanced technologies in assessing whether the social engagement is beneficial, including MedTracker pillboxes that send objective data about medication adherence to the study team in real-time, new cognitive assessment strategies using iPads, and innovative analysis techniques of participant speech and language characteristics. Underlying biological mechanisms of the prevention efficacy will be also examined by using functional magnetic resonance imaging (fMRI) and other measures. The recruitment process, implementation of modern communication technologies, and the results obtained in these trials have been forming an essential and highly valuable foundation for future behavior-based dementia prevention and intervention trials.

    Funding Sources: NIH/NIA R01AG056102, R01AG051628, R01 AG033581

    Related Publications

    Dodge HH, Zhu J, Mattek N, Bowman M, Ybarra O, Wild K, Loewenstein DA, Kaye JA: Web-enabled Conversational Interactions as a Means to Improve Cognitive Functions: Results of a 6-Week Randomized Controlled Trial. Alzheimers & Dementia : Translational Research and Clinical Interventions 1(1): 1-12, 2015. PM26203461/PMC4507295

    Dodge HH, Ybarra O, Kaye JA: Tools for advancing research into social networks and cognitive function in older adults.  Int Psychogeriatr 26(4): 533-539, 2014. PM24152936/PMC3654367

    Dodge HH, Katsumata Y, Zhu J, Mattek N, Bowman M, Gregor M, Wild K, Kaye JA: Characteristics associated with willingness to participate in a randomized controlled behavioral clinical trial using home-based personal computers and a webcam. Trials 15: 508, 2014. PM25539637/PMC4307639

    Dodge HH: Social Markers of Mild Cognitive Impairment: Proportion of Word Counts in Free Conversational Speech.Current Alzheimer research 12(6): 513, 2015. PM26027814/PMC4526336

    Asgari M, Kaye JA, Dodge HH: Predicting Mild Cognitive Impairment (MCI) from Spontaneous Spoken Utterances. Alzheimer's & Dementia: Translational Research & Clinical Interventions 3: 219-228, 2017

    Trial Project Teams

    Team Members for Current Project


     

    6 Week Pilot Trial Project Team (trial completed in 2014)

     

    Hiroko Dodge’s research passion includes applied statistical analyses. She utilized various statistical modelings for dementia research including: Markov models to assess duration spent in each disability status among AD subjects, factor analyses to group nutrient markers associated with healthy cognitive aging, a sequential regression multiple imputation (SRMI) approach to impute missing autopsy data, latent trajectory and change point models to assess longitudinal outcomes. Below highlights unique statistical approaches and papers which utilized the approach. Our hope is to provide examples for each method when applied to the dementia research field.

    INCREMENT-DECREMENT LIFE TABLE METHODS (Makov Models)

    We assessed duration spent with different levels of disability among those with and without dementia.

    Publication: Dodge HH, Shen C, Pandav R, DeKosky ST, Ganguli M: Functional transitions and active life expectancy associated with Alzheimer disease. Archives of Neurology 60(2): 253-9, 2003. PM12580712

    SRMI (sequential regression multiple imputation)

    We expect that those who came to autopsy (brain donation at death) and those who did not differ in their characteristics.  Does using autopsy data obtained only from the former pose bias on the association between autopsy findings and AD risk?  We used SRMI for imputing missing autopsy data when calculating population attributable risk % of vascular factors on clinical AD.

    Publication: Dodge HH, Zhu J, Woltjer R, Nelson PT, Bennett DA, Cairns NJ, Fardo DW, Kaye JA, Lyons DE, Mattek N, Schneider JA, Silbert LC, Xiong C, Yu L, Schmitt FA, Kryscio RJ, Abner EL, SMART data consortium.: Risk of incident clinical diagnosis of Alzheimer's disease-type dementia attributable to pathology-confirmed vascular disease. Alzheimers Dement 13(6): 613 - 623, 2017. PM28017827/PMC5466467

     

    SAMPLE SIZE CALCULATION USING HIGHLY FREQUENTLY MONITORED DATA

    Highly frequently assessed in-home monitored data allow us to calculate person-specific distributions of outcomes within a short interval of data accumulation.  Can using this information reduce sample size needed for clinical trials?  The below paper answers to this question.

    Publication: Dodge HH, Zhu J, Mattek NC, Austin D, Kornfeld J, Kaye JA: Use of High-Frequency In-Home Monitoring Data May Reduce Sample Sizes Needed in Clinical Trials. PLoS One 10(9): e0138095, 2015. PM26379170/PMC4574479

    MULTINOMIAL LOGIT MODELS

    Below two papers are typical examples of multinomial logit models.We examined characteristics associated with levels of willingness to participate in clinical trials.

    Publications: Dodge HH, Katsumata Y, Zhu J, Mattek N, Bowman M, Gregor M, Wild K, Kaye JA: Characteristics associated with willingness to participate in a randomized controlled behavioral clinical trial using home-based personal computers and a webcam. Trials 15: 508, 2014. PM25539637/PMC4307639

    Dodge HH, Kadowaki T, Hayakawa T, Yamakawa M, Sekikawa A, Ueshima H: Cognitive impairment as a strong predictor of incident disability in specific ADL-IADL tasks among community-dwelling elders: the Azuchi Study. The Gerontologist 45(2): 222-30, 2005. PM15799987

     

    VARIOUS APPLICATIONS OF MIXED EFFECTS MODELS

    The paper below aimed to separate practice effects from age associated cognitive declines.

    Publication: Dodge HH, Wang CN, Chang CC, Ganguli M: Terminal decline and practice effects in older adults without dementia: the MoVIES project. Neurology 77(8): 722-30, 2011. PM21832224/PMC3164394

    Publication: Dodge HH, Zhu J, Harvey D, Saito N, Silbert LC, Kaye JA, Koeppe RA, Albin RL, Alzheimer's Disease Neuroimaging Initiative: Biomarker progressions explain higher variability in stage-specific cognitive decline than baseline values in Alzheimer disease. Alzheimer's & dementia: the journal of the Alzheimer's Association 10(6): 690-703, 2014. PM25022534/PMC4253728

    Publication: Dodge HH, Zitzelberger T, Oken BS, Howieson D, Kaye J: A randomized placebo-controlled trial of Ginkgo biloba for the prevention of cognitive decline. Neurology 70(19 Pt 2): 1809-17, 2008. PM18305231/PMC2639649

    HARMONIZATION OF COGNITIVE TEST SCORES

    We harmonized different verbal memory test scores, employing the equipercentile equating method with log linear smoothing. This process was necessary to assess cohort effects using two cohort studies.

    Publication: Dodge HH, Zhu J, Hughes TF, Snitz BE, Chang CH, Jacobsen EP, Ganguli M: Cohort effects in verbal memory function and practice effects: a population-based study. Int Psychogeriatr 29(1): 137-148, 2017. PM27725002/PMC5177461

    LATENT TRAJECTORY ANALYSES

    Publication: Dodge HH, Du Y, Saxton JA, Ganguli M: Cognitive domains and trajectories of functional independence in nondemented elderly persons. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences 61(12): 1330-7, 2006. PM17234830/PMC1808540

    Publication: Dodge HH, Shen C, Ganguli M: Application of the Pattern-Mixture Latent Trajectory Model in an Epidemiological Study with Non-Ignorable Missingness. Journal of Data Science 6(2): 247-259, 2008. PM20401339/PMC2855203

    APPLICATION OF IRT

    Publication: Dodge HH, Meguro K, Ishii H, Yamaguchi S, Saxton JA, Ganguli M: Cross-cultural comparisons of the Mini-mental State Examination between Japanese and U.S. cohorts. International Psychogeriatrics 21(1): 113-22, 2009. PM18925977/PMC2639652

    CHANGE POINT MODELS

    Publication: Buracchio T, Dodge HH, Howieson D, Wasserman D, Kaye J: The trajectory of gait speed preceding mild cognitive impairment. Archives of Neurology 67(8): 980-6, 2010. PM20697049/PMC2921227

    Publication: Silbert LC, Dodge HH, Perkins LG, Sherbakov L, Lahna D, Erten-Lyons D, Woltjer R, Shinto L, Kaye JA: Trajectory of white matter hyperintensity burden preceding mild cognitive impairment. Neurology 79(8): 741-7, 2012. PM22843262/PMC3421153

  • Recent News

    Our most recent project developed an algorithm to calculate the risk of developing MCI (Mild Cognitive Impairment) by applying machine learning methods to National Alzheimer’s Coordinating Center (NACC) Clinical data.  More information can be found here:

    Big Data Application to NACC Data

    NACC MCI Predictor