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Your search keyword '"De Anda-Duran, Ileana"' showing total 35 results
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35 results on '"De Anda-Duran, Ileana"'

3. Multimodal deep learning for Alzheimer’s disease dementia assessment

Author

Qiu, Shangran, Miller, Matthew I., Joshi, Prajakta S., Lee, Joyce C., Xue, Chonghua, Ni, Yunruo, Wang, Yuwei, De Anda-Duran, Ileana, Hwang, Phillip H., Cramer, Justin A., Dwyer, Brigid C., Hao, Honglin, Kaku, Michelle C., Kedar, Sachin, Lee, Peter H., Mian, Asim Z., Murman, Daniel L., O’Shea, Sarah, Paul, Aaron B., Saint-Hilaire, Marie-Helene, Alton Sartor, E., Saxena, Aneeta R., Shih, Ludy C., Small, Juan E., Smith, Maximilian J., Swaminathan, Arun, Takahashi, Courtney E., Taraschenko, Olga, You, Hui, Yuan, Jing, Zhou, Yan, Zhu, Shuhan, Alosco, Michael L., Mez, Jesse, Stein, Thor D., Poston, Kathleen L., Au, Rhoda, and Kolachalama, Vijaya B.

Published
2022
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8. Digital neuropsychological measures by defense automated neurocognitive assessment: reference values and clinical correlates.

Author

Huitong Ding, Kim, Minzae, Searls, Edward, Sunderaraman, Preeti, De Anda-Duran, Ileana, Low, Spencer, Popp, Zachary, Hwang, Phillip H., Zexu Li, Goyal, Kriti, Hathaway, Lindsay, Monteverde, Jose, Rahman, Salman, Igwe, Akwaugo, Kolachalama, Vijaya B., Au, Rhoda, and Honghuang Lin

Subjects
REFERENCE values, LDL cholesterol, ALZHEIMER'S disease, CLINICAL neuropsychology, HIGH density lipoproteins, AGE groups
Abstract

Introduction: Although the growth of digital tools for cognitive health assessment, there’s a lack of known reference values and clinical implications for these digital methods. This study aims to establish reference values for digital neuropsychological measures obtained through the smartphone-based cognitive assessment application, Defense Automated Neurocognitive Assessment (DANA), and to identify clinical risk factors associated with these measures. Methods: The sample included 932 cognitively intact participants from the Framingham Heart Study, who completed at least one DANA task. Participants were stratified into subgroups based on sex and three age groups. Reference values were established for digital cognitive assessments within each age group, divided by sex, at the 2.5th, 25th, 50th, 75th, and 97.5th percentile thresholds. To validate these values, 57 cognitively intact participants from Boston University Alzheimer’s Disease Research Center were included. Associations between 19 clinical risk factors and these digital neuropsychological measures were examined by a backward elimination strategy. Results: Age- and sex-specific reference values were generated for three DANA tasks. Participants below 60 had median response times for the Go-No-Go task of 796 ms (men) and 823 ms (women), with age-related increases in both sexes. Validation cohort results mostly aligned with these references. Different tasks showed unique clinical correlations. For instance, response time in the Code Substitution task correlated positively with total cholesterol and diabetes, but negatively with high-density lipoprotein and low-density lipoprotein cholesterol levels, and triglycerides. Discussion: This study established and validated reference values for digital neuropsychological measures of DANA in cognitively intact white participants, potentially improving their use in future clinical studies and practice. [ABSTRACT FROM AUTHOR]

Published
2024
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9. Digital neuropsychological measures by defense automated neurocognitive assessment: reference values and clinical correlates

Author

Ding, Huitong, primary, Kim, Minzae, additional, Searls, Edward, additional, Sunderaraman, Preeti, additional, De Anda-Duran, Ileana, additional, Low, Spencer, additional, Popp, Zachary, additional, Hwang, Phillip H., additional, Li, Zexu, additional, Goyal, Kriti, additional, Hathaway, Lindsay, additional, Monteverde, Jose, additional, Rahman, Salman, additional, Igwe, Akwaugo, additional, Kolachalama, Vijaya B., additional, Au, Rhoda, additional, and Lin, Honghuang, additional

Published
2024
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10. Comparing Cognitive Tests and Smartphone‐Based Assessment in 2 US Community‐Based Cohorts

Author

De Anda‐Duran, Ileana, primary, Sunderaraman, Preeti, additional, Searls, Edward, additional, Moukaled, Shirine, additional, Jin, Xuanyi, additional, Popp, Zachary, additional, Karjadi, Cody, additional, Hwang, Phillip H., additional, Ding, Huitong, additional, Devine, Sherral, additional, Shih, Ludy C., additional, Low, Spencer, additional, Lin, Honghuang, additional, Kolachalama, Vijaya B., additional, Bazzano, Lydia, additional, Libon, David J., additional, and Au, Rhoda, additional

Published
2024
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11. Shifting From Active to Passive Monitoring of Alzheimer Disease: The State of the Research

Author

Popp, Zachary, primary, Low, Spencer, additional, Igwe, Akwaugo, additional, Rahman, Md Salman, additional, Kim, Minzae, additional, Khan, Raiyan, additional, Oh, Emily, additional, Kumar, Ankita, additional, De Anda‐Duran, Ileana, additional, Ding, Huitong, additional, Hwang, Phillip H., additional, Sunderaraman, Preeti, additional, Shih, Ludy C., additional, Lin, Honghuang, additional, Kolachalama, Vijaya B., additional, and Au, Rhoda, additional

Published
2024
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12. Design and Feasibility Analysis of a Smartphone‐Based Digital Cognitive Assessment Study in the Framingham Heart Study

Author

Sunderaraman, Preeti, primary, De Anda‐Duran, Ileana, additional, Karjadi, Cody, additional, Peterson, Julia, additional, Ding, Huitong, additional, Devine, Sherral A., additional, Shih, Ludy C., additional, Popp, Zachary, additional, Low, Spencer, additional, Hwang, Phillip H., additional, Goyal, Kriti, additional, Hathaway, Lindsay, additional, Monteverde, Jose, additional, Lin, Honghuang, additional, Kolachalama, Vijaya B., additional, and Au, Rhoda, additional

Published
2024
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13. Digital is the New Blood: Enabling the Present and the Future

Author

Au, Rhoda, primary, Popp, Zachary T, additional, Low, Spencer, additional, Hwang, Phillip H, additional, De Anda‐Duran, Ileana, additional, Li, Stephanie, additional, Rahman, Salman, additional, Ding, Huitong, additional, Igwe, Akwaugo, additional, Karjadi, Cody, additional, Ang, Ting Fang Alvin, additional, Devine, Sherral A., additional, Gurnani, Ashita S, additional, Mez, Jesse B., additional, Farrer, Lindsay A., additional, Sunderaraman, Preeti, additional, Lin, Honghuang, additional, and Kolachalama, Vijaya B., additional

Published
2023
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15. Implementation of a smartphone application for precision brain health assessment in a rural low socioeconomic setting: The Bogalusa Heart Study

Author

De Anda‐Duran, Ileana, primary, Popp, Zachary T, additional, Jones, Brayanna, additional, Fernandez‐Alonso, Camilo, additional, Low, Spencer, additional, Libon, David J, additional, Lin, Honghuang, additional, Kolachalama, Vijaya B., additional, Au, Rhoda, additional, and Bazzano, Lydia, additional

Published
2023
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19. American Heart Association EPI|Lifestyle Scientific Sessions: 2022 Meeting Highlights

Author

Sattler, Elisabeth L. P., primary, Ogungbe, Oluwabunmi, additional, Wallace, Amelia S., additional, Aryan, Zahra, additional, Castilla‐Ojo, Noelle, additional, Dai, Jin, additional, De Anda‐Duran, Ileana, additional, Foti, Kathryn, additional, German, Charles A., additional, Hyde, Eric T., additional, Jafarian‐Kerman, Scott R., additional, Kendrick, Karla N., additional, King, Ben, additional, Lang, Adam Edward, additional, Tang, Olive, additional, Turkson‐Ocran, Ruth‐Alma, additional, Rodriguez, Luis A., additional, Wang, Frances M., additional, Zhang, Mingyu, additional, Hivert, Marie‐France, additional, and Lutsey, Pamela L., additional

Published
2023
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24. Examination of potentially modifiable dementia risk factors across the adult life course: The Framingham Heart Study

Author

Hwang, Phillip H., primary, Ang, Ting Fang Alvin, additional, De Anda‐Duran, Ileana, additional, Liu, Xue, additional, Liu, Yulin, additional, Gurnani, Ashita, additional, Mez, Jesse, additional, Auerbach, Sanford, additional, Joshi, Prajakta, additional, Yuan, Jing, additional, Devine, Sherral, additional, Au, Rhoda, additional, and Liu, Chunyu, additional

Published
2023
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26. Life-Course Associations between Blood Pressure-Related Polygenic Risk Scores and Hypertension in the Bogalusa Heart Study

Author

Sun, Xiao, primary, Pan, Yang, additional, Zhang, Ruiyuan, additional, De Anda-Duran, Ileana, additional, Huang, Zhijie, additional, Li, Changwei, additional, Shi, Mengyao, additional, Razavi, Alexander C., additional, Bazzano, Lydia A., additional, He, Jiang, additional, Sofer, Tamar, additional, and Kelly, Tanika N., additional

Published
2022
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28. Corrigendum: Digital neuropsychological measures by defense automated neurocognitive assessment: reference values and clinical correlates.

Author

Huitong Ding, Minzae Kim, Searls, Edward, Sunderaraman, Preeti, De Anda-Duran, Ileana, Low, Spencer, Popp, Zachary, Hwang, Phillip H., Zexu Li, Goyal, Kriti, Hathaway, Lindsay, Monteverde, Jose, Rahman, Salman, Igwe, Akwaugo, Kolachalama, Vijaya B., Au, Rhoda, and Honghuang Lin

Subjects
REFERENCE values, ALZHEIMER'S disease, CLINICAL neuropsychology
Abstract

This document is a corrigendum for an article titled "Digital neuropsychological measures by defense automated neurocognitive assessment: reference values and clinical correlates." The corrigendum acknowledges an error in the funding statement of the original article, where a grant from the National Institute on Aging was not included. The correct funding statement is provided in the corrigendum. The authors apologize for the error and state that it does not affect the scientific conclusions of the article. [Extracted from the article]

Published
2024
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35. A Large-Scale Genome-Wide Gene-Sleep Interaction Study in 732,564 Participants Identifies Lipid Loci Explaining Sleep-Associated Lipid Disturbances.

Author

Noordam R, Wang W, Nagarajan P, Wang H, Brown MR, Bentley AR, Hui Q, Kraja AT, Morrison JL, O'Connel JR, Lee S, Schwander K, Bartz TM, de las Fuentes L, Feitosa MF, Guo X, Hanfei X, Harris SE, Huang Z, Kals M, Lefevre C, Mangino M, Milaneschi Y, van der Most P, Pacheco NL, Palmer ND, Rao V, Rauramaa R, Sun Q, Tabara Y, Vojinovic D, Wang Y, Weiss S, Yang Q, Zhao W, Zhu W, Abu Yusuf Ansari M, Aschard H, Anugu P, Assimes TL, Attia J, Baker LD, Ballantyne C, Bazzano L, Boerwinkle E, Cade B, Chen HH, Chen W, Ida Chen YD, Chen Z, Cho K, De Anda-Duran I, Dimitrov L, Do A, Edwards T, Faquih T, Hingorani A, Fisher-Hoch SP, Gaziano JM, Gharib SA, Giri A, Ghanbari M, Grabe HJ, Graff M, Gu CC, He J, Heikkinen S, Hixson J, Ho YL, Hood MM, Houghton SC, Karvonen-Gutierrez CA, Kawaguchi T, Kilpeläinen TO, Komulainen P, Lin HJ, Linchangco GV, Luik AI, Ma J, Meigs JB, McCormick JB, Menni C, Nolte IM, Norris JM, Petty LE, Polikowsky HG, Raffield LM, Rich SS, Riha RL, Russ TC, Ruiz-Narvaez EA, Sitlani CM, Smith JA, Snieder H, Sofer T, Shen B, Tang J, Taylor KD, Teder-Laving M, Triatin R, Tsai MY, Völzke H, Westerman KE, Xia R, Yao J, Young KL, Zhang R, Zonderman AB, Zhu X, Below JE, Cox SR, Evans M, Fornage M, Fox ER, Franceschini N, Harlow SD, Holliday E, Ikram MA, Kelly T, Lakka TA, Lawlor DA, Li C, Liu CT, Mägi R, Manning AK, Matsuda F, Morrison AC, Nauck M, North KE, Penninx BW, Province MA, Psaty BM, Rotter JI, Spector TD, Wagenknecht LE, Willems van Dijk K, Study LC, Jaquish CE, Wilson PW, Peyser PA, Munroe PB, de Vries PS, Gauderman WJ, Sun YV, Chen H, Miller CL, Winkler TW, Rao DC, Redline S, and van Heemst D

Abstract

We performed large-scale genome-wide gene-sleep interaction analyses of lipid levels to identify novel genetic variants underpinning the biomolecular pathways of sleep-associated lipid disturbances and to suggest possible druggable targets. We collected data from 55 cohorts with a combined sample size of 732,564 participants (87% European ancestry) with data on lipid traits (high-density lipoprotein [HDL-c] and low-density lipoprotein [LDL-c] cholesterol and triglycerides [TG]). Short (STST) and long (LTST) total sleep time were defined by the extreme 20% of the age- and sex-standardized values within each cohort. Based on cohort-level summary statistics data, we performed meta-analyses for the one-degree of freedom tests of interaction and two-degree of freedom joint tests of the main and interaction effect. In the cross-population meta-analyses, the one-degree of freedom variant-sleep interaction test identified 10 loci (P int <5.0e-9) not previously observed for lipids. Of interest, the ASPH locus (TG, LTST) is a target for aspartic and succinic acid metabolism previously shown to improve sleep and cardiovascular risk. The two-degree of freedom analyses identified an additional 7 loci that showed evidence for variant-sleep interaction (P joint <5.0e-9 in combination with P int <6.6e-6). Of these, the SLC8A1 locus (TG, STST) has been considered a potential treatment target for reduction of ischemic damage after acute myocardial infarction. Collectively, the 17 (9 with STST; 8 with LTST) loci identified in this large-scale initiative provides evidence into the biomolecular mechanisms underpinning sleep-duration-associated changes in lipid levels. The identified druggable targets may contribute to the development of novel therapies for dyslipidemia in people with sleep disturbances.

Published
2024
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