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Trans-pQTL study identifies immune crosstalk between Parkinson and Alzheimer loci.

Neurology. Genetics

Chan G, White CC, Winn PA, Cimpean M, Replogle JM, Glick LR, Cuerdon NE, Ryan KJ, Johnson KA, Schneider JA, Bennett DA, Chibnik LB, Sperling RA, De Jager PL, Bradshaw EM.
PMID: 27504496
Neurol Genet. 2016 Jul 26;2(4):e90. doi: 10.1212/NXG.0000000000000090. eCollection 2016 Aug.

OBJECTIVE: Given evidence from genetic studies, we hypothesized that there may be a shared component to the role of myeloid function in Parkinson and Alzheimer disease (PD and AD) and assessed whether PD susceptibility variants influenced protein expression of...

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Chan G, White CC, Winn PA, et al. Trans-pQTL study identifies immune crosstalk between Parkinson and Alzheimer loci. Neurol Genet. 2016;2(4):e90doi: 10.1212/NXG.0000000000000090.
Chan, G., White, C. C., Winn, P. A., Cimpean, M., Replogle, J. M., Glick, L. R., Cuerdon, N. E., Ryan, K. J., Johnson, K. A., Schneider, J. A., Bennett, D. A., Chibnik, L. B., Sperling, R. A., De Jager, P. L., & Bradshaw, E. M. (2016). Trans-pQTL study identifies immune crosstalk between Parkinson and Alzheimer loci. Neurology. Genetics, 2(4), e90. https://doi.org/10.1212/NXG.0000000000000090
Chan, Gail, et al. "Trans-pQTL study identifies immune crosstalk between Parkinson and Alzheimer loci." Neurology. Genetics vol. 2,4 (2016): e90. doi: https://doi.org/10.1212/NXG.0000000000000090
Chan G, White CC, Winn PA, Cimpean M, Replogle JM, Glick LR, Cuerdon NE, Ryan KJ, Johnson KA, Schneider JA, Bennett DA, Chibnik LB, Sperling RA, De Jager PL, Bradshaw EM. Trans-pQTL study identifies immune crosstalk between Parkinson and Alzheimer loci. Neurol Genet. 2016 Jul 26;2(4):e90. doi: 10.1212/NXG.0000000000000090. eCollection 2016 Aug. PMID: 27504496; PMCID: PMC4962525.
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The Fine-Gray Model Under Interval Censored Competing Risks Data.

Journal of multivariate analysis

Li C.
PMID: 26543275
J Multivar Anal. 2016 Jan 01;143:327-344. doi: 10.1016/j.jmva.2015.10.001.

We consider semiparametric analysis of competing risks data subject to mixed case interval censoring. The Fine-Gray model (Fine & Gray, 1999) is used to model the cumulative incidence function and is coupled with sieve semiparametric maximum likelihood estimation based...

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Li C. The Fine-Gray Model Under Interval Censored Competing Risks Data. J Multivar Anal. 2016;143:327-344doi: 10.1016/j.jmva.2015.10.001.
Li, C. (2016). The Fine-Gray Model Under Interval Censored Competing Risks Data. Journal of multivariate analysis, 143327-344. https://doi.org/10.1016/j.jmva.2015.10.001
Li, Chenxi. "The Fine-Gray Model Under Interval Censored Competing Risks Data." Journal of multivariate analysis vol. 143 (2016): 327-344. doi: https://doi.org/10.1016/j.jmva.2015.10.001
Li C. The Fine-Gray Model Under Interval Censored Competing Risks Data. J Multivar Anal. 2016 Jan 01;143:327-344. doi: 10.1016/j.jmva.2015.10.001. PMID: 26543275; PMCID: PMC4629270.
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Relation of neuropathology with cognitive decline among older persons without dementia.

Frontiers in aging neuroscience

Boyle PA, Yu L, Wilson RS, Schneider JA, Bennett DA.
PMID: 24058343
Front Aging Neurosci. 2013 Sep 09;5:50. doi: 10.3389/fnagi.2013.00050. eCollection 2013.

OBJECTIVE: Although it is now widely accepted that dementia has a long preclinical phase during which neuropathology accumulates and cognition declines, little is known about the relation of neuropathology with the longitudinal rate of change in cognition among older...

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Boyle PA, Yu L, Wilson RS, et al. Relation of neuropathology with cognitive decline among older persons without dementia. Front Aging Neurosci. 2013;5:50doi: 10.3389/fnagi.2013.00050.
Boyle, P. A., Yu, L., Wilson, R. S., Schneider, J. A., & Bennett, D. A. (2013). Relation of neuropathology with cognitive decline among older persons without dementia. Frontiers in aging neuroscience, 550. https://doi.org/10.3389/fnagi.2013.00050
Boyle, Patricia A, et al. "Relation of neuropathology with cognitive decline among older persons without dementia." Frontiers in aging neuroscience vol. 5 (2013): 50. doi: https://doi.org/10.3389/fnagi.2013.00050
Boyle PA, Yu L, Wilson RS, Schneider JA, Bennett DA. Relation of neuropathology with cognitive decline among older persons without dementia. Front Aging Neurosci. 2013 Sep 09;5:50. doi: 10.3389/fnagi.2013.00050. eCollection 2013. PMID: 24058343; PMCID: PMC3766823.
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[No title available]

Journal of clinical medicine

Choi KY, Lee JJ, Gunasekaran TI, Kang S, Lee W, Jeong J, Lim HJ, Zhang X, Zhu C, Won SY, Choi YY, Seo EH, Lee SC, Gim J, Chung JY, Chong A, Byun MS, Seo S, Ko PW, Han JW, McLean C, Farrell J, Lunetta KL, Miyashita A, Hara N, Won S, Choi SM, Ha JM, Jeong JH, Kuwano R, Song MK, An SSA, Lee YM, Park KW, Lee HW, Choi SH, Rhee S, Song WK, Lee JS, Mayeux R, Haines JL, Pericak-Vance MA, Choo ILH, Nho K, Kim KW, Lee DY, Kim S, Kim BC, Kim H, Jun GR, Schellenberg GD, Ikeuchi T, Farrer LA, Lee KH, Neuroimaging Initative AD.
PMID: 31426376
J Clin Med. 2019 Aug 16;8(8). doi: 10.3390/jcm8081236.

Variants in the

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Choi KY, Lee JJ, Gunasekaran TI, et al. . J Clin Med. 2019;8(8)doi: 10.3390/jcm8081236.
Choi, K. Y., Lee, J. J., Gunasekaran, T. I., Kang, S., Lee, W., Jeong, J., Lim, H. J., Zhang, X., Zhu, C., Won, S. Y., Choi, Y. Y., Seo, E. H., Lee, S. C., Gim, J., Chung, J. Y., Chong, A., Byun, M. S., Seo, S., Ko, P. W., Han, J. W., McLean, C., Farrell, J., Lunetta, K. L., Miyashita, A., Hara, N., Won, S., Choi, S. M., Ha, J. M., Jeong, J. H., Kuwano, R., Song, M. K., An, S. S. A., Lee, Y. M., Park, K. W., Lee, H. W., Choi, S. H., Rhee, S., Song, W. K., Lee, J. S., Mayeux, R., Haines, J. L., Pericak-Vance, M. A., Choo, I. L. H., Nho, K., Kim, K. W., Lee, D. Y., Kim, S., Kim, B. C., Kim, H., Jun, G. R., Schellenberg, G. D., Ikeuchi, T., Farrer, L. A., Lee, K. H., & Neuroimaging Initative, A. D. (2019). . Journal of clinical medicine, 8(8), . https://doi.org/10.3390/jcm8081236
Choi, Kyu Yeong, et al. "." Journal of clinical medicine vol. 8,8 (2019). doi: https://doi.org/10.3390/jcm8081236
Choi KY, Lee JJ, Gunasekaran TI, Kang S, Lee W, Jeong J, Lim HJ, Zhang X, Zhu C, Won SY, Choi YY, Seo EH, Lee SC, Gim J, Chung JY, Chong A, Byun MS, Seo S, Ko PW, Han JW, McLean C, Farrell J, Lunetta KL, Miyashita A, Hara N, Won S, Choi SM, Ha JM, Jeong JH, Kuwano R, Song MK, An SSA, Lee YM, Park KW, Lee HW, Choi SH, Rhee S, Song WK, Lee JS, Mayeux R, Haines JL, Pericak-Vance MA, Choo ILH, Nho K, Kim KW, Lee DY, Kim S, Kim BC, Kim H, Jun GR, Schellenberg GD, Ikeuchi T, Farrer LA, Lee KH, Neuroimaging Initative AD. . J Clin Med. 2019 Aug 16;8(8). doi: 10.3390/jcm8081236. PMID: 31426376; PMCID: PMC6723529.
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Bivariate Genome-Wide Association Study of Depressive Symptoms With Type 2 Diabetes and Quantitative Glycemic Traits.

Psychosomatic medicine

Haljas K, Amare AT, Alizadeh BZ, Hsu YH, Mosley T, Newman A, Murabito J, Tiemeier H, Tanaka T, van Duijn C, Ding J, Llewellyn DJ, Bennett DA, Terracciano A, Launer L, Ladwig KH, Cornelis MC, Teumer A, Grabe H, Kardia SLR, Ware EB, Smith JA, Snieder H, Eriksson JG, Groop L, Räikkönen K, Lahti J.
PMID: 29280852
Psychosom Med. 2018 Apr;80(3):242-251. doi: 10.1097/PSY.0000000000000555.

OBJECTIVE: Shared genetic background may explain phenotypic associations between depression and Type 2 diabetes (T2D). We aimed to study, on a genome-wide level, if genetic correlation and pleiotropic loci exist between depressive symptoms and T2D or glycemic traits.METHODS: We...

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Haljas K, Amare AT, Alizadeh BZ, et al. Bivariate Genome-Wide Association Study of Depressive Symptoms With Type 2 Diabetes and Quantitative Glycemic Traits. Psychosom Med. 2018;80(3):242-251doi: 10.1097/PSY.0000000000000555.
Haljas, K., Amare, A. T., Alizadeh, B. Z., Hsu, Y. H., Mosley, T., Newman, A., Murabito, J., Tiemeier, H., Tanaka, T., van Duijn, C., Ding, J., Llewellyn, D. J., Bennett, D. A., Terracciano, A., Launer, L., Ladwig, K. H., Cornelis, M. C., Teumer, A., Grabe, H., Kardia, S. L. R., Ware, E. B., Smith, J. A., Snieder, H., Eriksson, J. G., Groop, L., Räikkönen, K., & Lahti, J. (2018). Bivariate Genome-Wide Association Study of Depressive Symptoms With Type 2 Diabetes and Quantitative Glycemic Traits. Psychosomatic medicine, 80(3), 242-251. https://doi.org/10.1097/PSY.0000000000000555
Haljas, Kadri, et al. "Bivariate Genome-Wide Association Study of Depressive Symptoms With Type 2 Diabetes and Quantitative Glycemic Traits." Psychosomatic medicine vol. 80,3 (2018): 242-251. doi: https://doi.org/10.1097/PSY.0000000000000555
Haljas K, Amare AT, Alizadeh BZ, Hsu YH, Mosley T, Newman A, Murabito J, Tiemeier H, Tanaka T, van Duijn C, Ding J, Llewellyn DJ, Bennett DA, Terracciano A, Launer L, Ladwig KH, Cornelis MC, Teumer A, Grabe H, Kardia SLR, Ware EB, Smith JA, Snieder H, Eriksson JG, Groop L, Räikkönen K, Lahti J. Bivariate Genome-Wide Association Study of Depressive Symptoms With Type 2 Diabetes and Quantitative Glycemic Traits. Psychosom Med. 2018 Apr;80(3):242-251. doi: 10.1097/PSY.0000000000000555. PMID: 29280852; PMCID: PMC6051528.
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Erratum to "Altered bile acid profile associates with cognitive impairment in Alzheimer's disease-An emerging role for gut microbiome" [Alzheimer's & Dementia 2019;15:76-92.].

Alzheimer's & dementia : the journal of the Alzheimer's Association

[No authors listed]
PMID: 30905591
Alzheimers Dement. 2019 Apr;15(4):604. doi: 10.1016/j.jalz.2019.03.002. Epub 2019 Mar 21.

No abstract available.

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Erratum to "Altered bile acid profile associates with cognitive impairment in Alzheimer's disease-An emerging role for gut microbiome" [Alzheimer's & Dementia 2019;15:76-92.]. Alzheimers Dement. 2019;15(4):604doi: 10.1016/j.jalz.2019.03.002.
(2019). Erratum to "Altered bile acid profile associates with cognitive impairment in Alzheimer's disease-An emerging role for gut microbiome" [Alzheimer's & Dementia 2019;15:76-92.]. Alzheimer's & dementia : the journal of the Alzheimer's Association, 15(4), 604. https://doi.org/10.1016/j.jalz.2019.03.002
"Erratum to "Altered bile acid profile associates with cognitive impairment in Alzheimer's disease-An emerging role for gut microbiome" [Alzheimer's & Dementia 2019;15:76-92.]." Alzheimer's & dementia : the journal of the Alzheimer's Association vol. 15,4 (2019): 604. doi: https://doi.org/10.1016/j.jalz.2019.03.002
Erratum to "Altered bile acid profile associates with cognitive impairment in Alzheimer's disease-An emerging role for gut microbiome" [Alzheimer's & Dementia 2019;15:76-92.]. Alzheimers Dement. 2019 Apr;15(4):604. doi: 10.1016/j.jalz.2019.03.002. Epub 2019 Mar 21. PMID: 30905591; PMCID: PMC6652195.
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Alzheimer's loci: epigenetic associations and interaction with genetic factors.

Annals of clinical and translational neurology

Chibnik LB, Yu L, Eaton ML, Srivastava G, Schneider JA, Kellis M, Bennett DA, De Jager PL.
PMID: 26125039
Ann Clin Transl Neurol. 2015 Jun;2(6):636-47. doi: 10.1002/acn3.201. Epub 2015 Apr 24.

OBJECTIVE: We explore the role of DNA methylation in Alzheimer's disease (AD). To elucidate where DNA methylation falls along the causal pathway linking risk factors to disease, we examine causal models to assess its role in the pathology of...

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Chibnik LB, Yu L, Eaton ML, et al. Alzheimer's loci: epigenetic associations and interaction with genetic factors. Ann Clin Transl Neurol. 2015;2(6):636-47doi: 10.1002/acn3.201.
Chibnik, L. B., Yu, L., Eaton, M. L., Srivastava, G., Schneider, J. A., Kellis, M., Bennett, D. A., & De Jager, P. L. (2015). Alzheimer's loci: epigenetic associations and interaction with genetic factors. Annals of clinical and translational neurology, 2(6), 636-47. https://doi.org/10.1002/acn3.201
Chibnik, Lori B, et al. "Alzheimer's loci: epigenetic associations and interaction with genetic factors." Annals of clinical and translational neurology vol. 2,6 (2015): 636-47. doi: https://doi.org/10.1002/acn3.201
Chibnik LB, Yu L, Eaton ML, Srivastava G, Schneider JA, Kellis M, Bennett DA, De Jager PL. Alzheimer's loci: epigenetic associations and interaction with genetic factors. Ann Clin Transl Neurol. 2015 Jun;2(6):636-47. doi: 10.1002/acn3.201. Epub 2015 Apr 24. PMID: 26125039; PMCID: PMC4479524.
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The genetics of circulating BDNF: towards understanding the role of BDNF in brain structure and function in middle and old ages.

Brain communications

Li S, Weinstein G, Zare H, Teumer A, Völker U, Friedrich N, Knol MJ, Satizabal CL, Petyuk VA, Adams HHH, Launer LJ, Bennett DA, De Jager PL, Grabe HJ, Ikram MA, Gudnason V, Yang Q, Seshadri S.
PMID: 33345186
Brain Commun. 2020 Oct 28;2(2):fcaa176. doi: 10.1093/braincomms/fcaa176. eCollection 2020.

Brain-derived neurotrophic factor (BDNF) plays an important role in brain development and function. Substantial amounts of BDNF are present in peripheral blood, and may serve as biomarkers for Alzheimer's disease incidence as well as targets for intervention to reduce...

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Li S, Weinstein G, Zare H, et al. The genetics of circulating BDNF: towards understanding the role of BDNF in brain structure and function in middle and old ages. Brain Commun. 2020;2(2):fcaa176doi: 10.1093/braincomms/fcaa176.
Li, S., Weinstein, G., Zare, H., Teumer, A., Völker, U., Friedrich, N., Knol, M. J., Satizabal, C. L., Petyuk, V. A., Adams, H. H. H., Launer, L. J., Bennett, D. A., De Jager, P. L., Grabe, H. J., Ikram, M. A., Gudnason, V., Yang, Q., & Seshadri, S. (2020). The genetics of circulating BDNF: towards understanding the role of BDNF in brain structure and function in middle and old ages. Brain communications, 2(2), fcaa176. https://doi.org/10.1093/braincomms/fcaa176
Li, Shuo, et al. "The genetics of circulating BDNF: towards understanding the role of BDNF in brain structure and function in middle and old ages." Brain communications vol. 2,2 (2020): fcaa176. doi: https://doi.org/10.1093/braincomms/fcaa176
Li S, Weinstein G, Zare H, Teumer A, Völker U, Friedrich N, Knol MJ, Satizabal CL, Petyuk VA, Adams HHH, Launer LJ, Bennett DA, De Jager PL, Grabe HJ, Ikram MA, Gudnason V, Yang Q, Seshadri S. The genetics of circulating BDNF: towards understanding the role of BDNF in brain structure and function in middle and old ages. Brain Commun. 2020 Oct 28;2(2):fcaa176. doi: 10.1093/braincomms/fcaa176. eCollection 2020. PMID: 33345186; PMCID: PMC7734441.
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Circadian disturbances in Alzheimer's disease progression: a prospective observational cohort study of community-based older adults.

The Lancet. Healthy longevity

Li P, Gao L, Gaba A, Yu L, Cui L, Fan W, Lim ASP, Bennett DA, Buchman AS, Hu K.
PMID: 34179863
Lancet Healthy Longev. 2020 Dec;1(3):e96-e105. doi: 10.1016/s2666-7568(20)30015-5. Epub 2020 Nov 12.

BACKGROUND: Circadian disturbances are commonly seen in people with Alzheimer's disease and have been reported in individuals without symptoms of dementia but with Alzheimer's pathology. We aimed to assess the temporal relationship between circadian disturbances and Alzheimer's progression.METHODS: We...

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Li P, Gao L, Gaba A, et al. Circadian disturbances in Alzheimer's disease progression: a prospective observational cohort study of community-based older adults. Lancet Healthy Longev. 2020;1(3):e96-e105doi: 10.1016/s2666-7568(20)30015-5.
Li, P., Gao, L., Gaba, A., Yu, L., Cui, L., Fan, W., Lim, A. S. P., Bennett, D. A., Buchman, A. S., & Hu, K. (2020). Circadian disturbances in Alzheimer's disease progression: a prospective observational cohort study of community-based older adults. The Lancet. Healthy longevity, 1(3), e96-e105. https://doi.org/10.1016/s2666-7568(20)30015-5
Li, Peng, et al. "Circadian disturbances in Alzheimer's disease progression: a prospective observational cohort study of community-based older adults." The Lancet. Healthy longevity vol. 1,3 (2020): e96-e105. doi: https://doi.org/10.1016/s2666-7568(20)30015-5
Li P, Gao L, Gaba A, Yu L, Cui L, Fan W, Lim ASP, Bennett DA, Buchman AS, Hu K. Circadian disturbances in Alzheimer's disease progression: a prospective observational cohort study of community-based older adults. Lancet Healthy Longev. 2020 Dec;1(3):e96-e105. doi: 10.1016/s2666-7568(20)30015-5. Epub 2020 Nov 12. PMID: 34179863; PMCID: PMC8232345.
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Cortical Proteins Associated With Cognitive Resilience in Community-Dwelling Older Persons.

JAMA psychiatry

Yu L, Tasaki S, Schneider JA, Arfanakis K, Duong DM, Wingo AP, Wingo TS, Kearns N, Thatcher GRJ, Seyfried NT, Levey AI, De Jager PL, Bennett DA.
PMID: 32609320
JAMA Psychiatry. 2020 Nov 01;77(11):1172-1180. doi: 10.1001/jamapsychiatry.2020.1807.

IMPORTANCE: Identifying genes and proteins for cognitive resilience (ie, targets that may be associated with slowing or preventing cognitive decline regardless of the presence, number, or combination of common neuropathologic conditions) provides a complementary approach to developing novel therapeutics...

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Yu L, Tasaki S, Schneider JA, et al. Cortical Proteins Associated With Cognitive Resilience in Community-Dwelling Older Persons. JAMA Psychiatry. 2020;77(11):1172-1180doi: 10.1001/jamapsychiatry.2020.1807.
Yu, L., Tasaki, S., Schneider, J. A., Arfanakis, K., Duong, D. M., Wingo, A. P., Wingo, T. S., Kearns, N., Thatcher, G. R. J., Seyfried, N. T., Levey, A. I., De Jager, P. L., & Bennett, D. A. (2020). Cortical Proteins Associated With Cognitive Resilience in Community-Dwelling Older Persons. JAMA psychiatry, 77(11), 1172-1180. https://doi.org/10.1001/jamapsychiatry.2020.1807
Yu, Lei, et al. "Cortical Proteins Associated With Cognitive Resilience in Community-Dwelling Older Persons." JAMA psychiatry vol. 77,11 (2020): 1172-1180. doi: https://doi.org/10.1001/jamapsychiatry.2020.1807
Yu L, Tasaki S, Schneider JA, Arfanakis K, Duong DM, Wingo AP, Wingo TS, Kearns N, Thatcher GRJ, Seyfried NT, Levey AI, De Jager PL, Bennett DA. Cortical Proteins Associated With Cognitive Resilience in Community-Dwelling Older Persons. JAMA Psychiatry. 2020 Nov 01;77(11):1172-1180. doi: 10.1001/jamapsychiatry.2020.1807. PMID: 32609320; PMCID: PMC7330835.
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Limbic-predominant age-related TDP-43 encephalopathy neuropathologic change and microvascular pathologies in community-dwelling older persons.

Brain pathology (Zurich, Switzerland)

Agrawal S, Yu L, Kapasi A, James BD, Arfanakis K, Barnes LL, Bennett DA, Nag S, Schneider JA.
PMID: 33624322
Brain Pathol. 2021 May;31(3):e12939. doi: 10.1111/bpa.12939. Epub 2021 Feb 23.

Limbic-predominant age-related transactive response DNA-binding protein 43 (TDP-43) encephalopathy neuropathologic change (LATE-NC) and microvascular pathologies, including microinfarcts, cerebral amyloid angiopathy (CAA), and arteriolosclerosis are common in old age. A relationship between LATE-NC and arteriolosclerosis has been reported in some...

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Agrawal S, Yu L, Kapasi A, et al. Limbic-predominant age-related TDP-43 encephalopathy neuropathologic change and microvascular pathologies in community-dwelling older persons. Brain Pathol. 2021;31(3):e12939doi: 10.1111/bpa.12939.
Agrawal, S., Yu, L., Kapasi, A., James, B. D., Arfanakis, K., Barnes, L. L., Bennett, D. A., Nag, S., & Schneider, J. A. (2021). Limbic-predominant age-related TDP-43 encephalopathy neuropathologic change and microvascular pathologies in community-dwelling older persons. Brain pathology (Zurich, Switzerland), 31(3), e12939. https://doi.org/10.1111/bpa.12939
Agrawal, Sonal, et al. "Limbic-predominant age-related TDP-43 encephalopathy neuropathologic change and microvascular pathologies in community-dwelling older persons." Brain pathology (Zurich, Switzerland) vol. 31,3 (2021): e12939. doi: https://doi.org/10.1111/bpa.12939
Agrawal S, Yu L, Kapasi A, James BD, Arfanakis K, Barnes LL, Bennett DA, Nag S, Schneider JA. Limbic-predominant age-related TDP-43 encephalopathy neuropathologic change and microvascular pathologies in community-dwelling older persons. Brain Pathol. 2021 May;31(3):e12939. doi: 10.1111/bpa.12939. Epub 2021 Feb 23. PMID: 33624322; PMCID: PMC8363209.
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Latent Cognitive Class at Enrollment Predicts Future Cognitive Trajectories of Decline in a Community Sample of Older Adults.

Journal of Alzheimer's disease : JAD

Zammit AR, Yang J, Buchman AS, Leurgans SE, Muniz-Terrera G, Lipton RB, Hall CB, Boyle P, Bennett DA.
PMID: 34334404
J Alzheimers Dis. 2021;83(2):641-652. doi: 10.3233/JAD-210484.

BACKGROUND: Methods that can identify subgroups with different trajectories of cognitive decline are crucial for isolating the biologic mechanisms which underlie these groupings.OBJECTIVE: This study grouped older adults based on their baseline cognitive profiles using a latent variable approach...

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Zammit AR, Yang J, Buchman AS, et al. Latent Cognitive Class at Enrollment Predicts Future Cognitive Trajectories of Decline in a Community Sample of Older Adults. J Alzheimers Dis. 2021;83(2):641-652doi: 10.3233/JAD-210484.
Zammit, A. R., Yang, J., Buchman, A. S., Leurgans, S. E., Muniz-Terrera, G., Lipton, R. B., Hall, C. B., Boyle, P., & Bennett, D. A. (2021). Latent Cognitive Class at Enrollment Predicts Future Cognitive Trajectories of Decline in a Community Sample of Older Adults. Journal of Alzheimer's disease : JAD, 83(2), 641-652. https://doi.org/10.3233/JAD-210484
Zammit, Andrea R, et al. "Latent Cognitive Class at Enrollment Predicts Future Cognitive Trajectories of Decline in a Community Sample of Older Adults." Journal of Alzheimer's disease : JAD vol. 83,2 (2021): 641-652. doi: https://doi.org/10.3233/JAD-210484
Zammit AR, Yang J, Buchman AS, Leurgans SE, Muniz-Terrera G, Lipton RB, Hall CB, Boyle P, Bennett DA. Latent Cognitive Class at Enrollment Predicts Future Cognitive Trajectories of Decline in a Community Sample of Older Adults. J Alzheimers Dis. 2021;83(2):641-652. doi: 10.3233/JAD-210484. PMID: 34334404.
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