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Assessing risk for preclinical β-amyloid pathology with .

Alzheimer's & dementia (Amsterdam, Netherlands)

Insel PS, Palmqvist S, Mackin RS, Nosheny RL, Hansson O, Weiner MW, Mattsson N.
PMID: 27722193
Alzheimers Dement (Amst). 2016 Aug 03;4:76-84. doi: 10.1016/j.dadm.2016.07.002. eCollection 2016.

INTRODUCTION: Clinical trials in Alzheimer's disease are aimed at early stages of disease, including preclinical Alzheimer's disease. The high cost and time required to screen large numbers of participants for Aβ pathology impede the development of novel drugs. This...

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Insel PS, Palmqvist S, Mackin RS, et al. Assessing risk for preclinical β-amyloid pathology with . Alzheimers Dement (Amst). 2016;4:76-84doi: 10.1016/j.dadm.2016.07.002.
Insel, P. S., Palmqvist, S., Mackin, R. S., Nosheny, R. L., Hansson, O., Weiner, M. W., & Mattsson, N. (2016). Assessing risk for preclinical β-amyloid pathology with . Alzheimer's & dementia (Amsterdam, Netherlands), 476-84. https://doi.org/10.1016/j.dadm.2016.07.002
Insel, Philip S, et al. "Assessing risk for preclinical β-amyloid pathology with ." Alzheimer's & dementia (Amsterdam, Netherlands) vol. 4 (2016): 76-84. doi: https://doi.org/10.1016/j.dadm.2016.07.002
Insel PS, Palmqvist S, Mackin RS, Nosheny RL, Hansson O, Weiner MW, Mattsson N. Assessing risk for preclinical β-amyloid pathology with . Alzheimers Dement (Amst). 2016 Aug 03;4:76-84. doi: 10.1016/j.dadm.2016.07.002. eCollection 2016. PMID: 27722193; PMCID: PMC5045949.
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FIBER DIRECTION ESTIMATION, SMOOTHING AND TRACKING IN DIFFUSION MRI.

The annals of applied statistics

Wong RKW, Lee TCM, Paul D, Peng J.
PMID: 28638497
Ann Appl Stat. 2016 Sep;10(3):1137-1156. doi: 10.1214/15-AOAS880. Epub 2016 Sep 28.

Diffusion magnetic resonance imaging is an imaging technology designed to probe anatomical architectures of biological samples in an in vivo and noninvasive manner through measuring water diffusion. The contribution of this paper is threefold. First, it proposes a new...

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Wong RKW, Lee TCM, Paul D, et al. FIBER DIRECTION ESTIMATION, SMOOTHING AND TRACKING IN DIFFUSION MRI. Ann Appl Stat. 2016;10(3):1137-1156doi: 10.1214/15-AOAS880.
Wong, R. K. W., Lee, T. C. M., Paul, D., & Peng, J. (2016). FIBER DIRECTION ESTIMATION, SMOOTHING AND TRACKING IN DIFFUSION MRI. The annals of applied statistics, 10(3), 1137-1156. https://doi.org/10.1214/15-AOAS880
Wong, Raymond K W, et al. "FIBER DIRECTION ESTIMATION, SMOOTHING AND TRACKING IN DIFFUSION MRI." The annals of applied statistics vol. 10,3 (2016): 1137-1156. doi: https://doi.org/10.1214/15-AOAS880
Wong RKW, Lee TCM, Paul D, Peng J. FIBER DIRECTION ESTIMATION, SMOOTHING AND TRACKING IN DIFFUSION MRI. Ann Appl Stat. 2016 Sep;10(3):1137-1156. doi: 10.1214/15-AOAS880. Epub 2016 Sep 28. PMID: 28638497; PMCID: PMC5476320.
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Test-retest reliability of a new medial temporal atrophy morphological metric.

International journal of Alzheimer's disease

Duchesne S, Valdivia F, Mouiha A, Robitaille N.
PMID: 23024883
Int J Alzheimers Dis. 2012;2012:979804. doi: 10.1155/2012/979804. Epub 2012 Sep 17.

Clinicians and researchers alike are in need of quantitative and robust measurement tools to assess medial temporal lobe atrophy (MTA) due to Alzheimer's disease (AD). We recently proposed a morphological metric, extracted from T1-weighted magnetic resonance images (MRI), to...

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Duchesne S, Valdivia F, Mouiha A, et al. Test-retest reliability of a new medial temporal atrophy morphological metric. Int J Alzheimers Dis. 2012;2012:979804doi: 10.1155/2012/979804.
Duchesne, S., Valdivia, F., Mouiha, A., & Robitaille, N. (2012). Test-retest reliability of a new medial temporal atrophy morphological metric. International journal of Alzheimer's disease, 2012979804. https://doi.org/10.1155/2012/979804
Duchesne, Simon, et al. "Test-retest reliability of a new medial temporal atrophy morphological metric." International journal of Alzheimer's disease vol. 2012 (2012): 979804. doi: https://doi.org/10.1155/2012/979804
Duchesne S, Valdivia F, Mouiha A, Robitaille N. Test-retest reliability of a new medial temporal atrophy morphological metric. Int J Alzheimers Dis. 2012;2012:979804. doi: 10.1155/2012/979804. Epub 2012 Sep 17. PMID: 23024883; PMCID: PMC3457661.
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19th Workshop of the International Stroke Genetics Consortium, April 28-29, 2016, Boston, Massachusetts, USA: 2016.001 MRI-defined cerebrovascular genomics-The CHARGE consortium.

Neurology. Genetics

[No authors listed]
PMID: 28428977
Neurol Genet. 2017 Mar 30;3(1):S2-S11. doi: 10.1212/NXG.0000000000000100. eCollection 2017 Mar.

No abstract available.

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19th Workshop of the International Stroke Genetics Consortium, April 28-29, 2016, Boston, Massachusetts, USA: 2016.001 MRI-defined cerebrovascular genomics-The CHARGE consortium. Neurol Genet. 2017;3(1):S2-S11doi: 10.1212/NXG.0000000000000100.
(2017). 19th Workshop of the International Stroke Genetics Consortium, April 28-29, 2016, Boston, Massachusetts, USA: 2016.001 MRI-defined cerebrovascular genomics-The CHARGE consortium. Neurology. Genetics, 3(1), S2-S11. https://doi.org/10.1212/NXG.0000000000000100
"19th Workshop of the International Stroke Genetics Consortium, April 28-29, 2016, Boston, Massachusetts, USA: 2016.001 MRI-defined cerebrovascular genomics-The CHARGE consortium." Neurology. Genetics vol. 3,1 (2017): S2-S11. doi: https://doi.org/10.1212/NXG.0000000000000100
19th Workshop of the International Stroke Genetics Consortium, April 28-29, 2016, Boston, Massachusetts, USA: 2016.001 MRI-defined cerebrovascular genomics-The CHARGE consortium. Neurol Genet. 2017 Mar 30;3(1):S2-S11. doi: 10.1212/NXG.0000000000000100. eCollection 2017 Mar. PMID: 28428977; PMCID: PMC5390739.
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Altered Functional Connectivity of Fusiform Gyrus in Subjects with Amnestic Mild Cognitive Impairment: A Resting-State fMRI Study.

Frontiers in human neuroscience

Cai S, Chong T, Zhang Y, Li J, von Deneen KM, Ren J, Dong M, Huang L.
PMID: 26379534
Front Hum Neurosci. 2015 Aug 27;9:471. doi: 10.3389/fnhum.2015.00471. eCollection 2015.

Visual cognition such as face recognition requests a high degree of functional integration between distributed brain areas of a network. It has been reported that the fusiform gyrus (FG) is an important brain area involved in facial cognition; altered...

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Cai S, Chong T, Zhang Y, et al. Altered Functional Connectivity of Fusiform Gyrus in Subjects with Amnestic Mild Cognitive Impairment: A Resting-State fMRI Study. Front Hum Neurosci. 2015;9:471doi: 10.3389/fnhum.2015.00471.
Cai, S., Chong, T., Zhang, Y., Li, J., von Deneen, K. M., Ren, J., Dong, M., Huang, L. (2015). Altered Functional Connectivity of Fusiform Gyrus in Subjects with Amnestic Mild Cognitive Impairment: A Resting-State fMRI Study. Frontiers in human neuroscience, 9471. https://doi.org/10.3389/fnhum.2015.00471
Cai, Suping, et al. "Altered Functional Connectivity of Fusiform Gyrus in Subjects with Amnestic Mild Cognitive Impairment: A Resting-State fMRI Study." Frontiers in human neuroscience vol. 9 (2015): 471. doi: https://doi.org/10.3389/fnhum.2015.00471
Cai S, Chong T, Zhang Y, Li J, von Deneen KM, Ren J, Dong M, Huang L. Altered Functional Connectivity of Fusiform Gyrus in Subjects with Amnestic Mild Cognitive Impairment: A Resting-State fMRI Study. Front Hum Neurosci. 2015 Aug 27;9:471. doi: 10.3389/fnhum.2015.00471. eCollection 2015. PMID: 26379534; PMCID: PMC4550786.
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Deformation-based atrophy computation by surface propagation and its application to Alzheimer's disease.

Journal of medical imaging (Bellingham, Wash.)

Pai A, Sporring J, Darkner S, Dam EB, Lillholm M, Jørgensen D, Oh J, Chen G, Suhy J, Sørensen L, Nielsen M.
PMID: 27014717
J Med Imaging (Bellingham). 2016 Jan;3(1):014005. doi: 10.1117/1.JMI.3.1.014005. Epub 2016 Mar 16.

Obtaining regional volume changes from a deformation field is more precise when using simplex counting (SC) compared with Jacobian integration (JI) due to the numerics involved in the latter. Although SC has been proposed before, numerical properties underpinning the...

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Pai A, Sporring J, Darkner S, et al. Deformation-based atrophy computation by surface propagation and its application to Alzheimer's disease. J Med Imaging (Bellingham). 2016;3(1):014005doi: 10.1117/1.JMI.3.1.014005.
Pai, A., Sporring, J., Darkner, S., Dam, E. B., Lillholm, M., Jørgensen, D., Oh, J., Chen, G., Suhy, J., Sørensen, L., & Nielsen, M. (2016). Deformation-based atrophy computation by surface propagation and its application to Alzheimer's disease. Journal of medical imaging (Bellingham, Wash.), 3(1), 014005. https://doi.org/10.1117/1.JMI.3.1.014005
Pai, Akshay, et al. "Deformation-based atrophy computation by surface propagation and its application to Alzheimer's disease." Journal of medical imaging (Bellingham, Wash.) vol. 3,1 (2016): 014005. doi: https://doi.org/10.1117/1.JMI.3.1.014005
Pai A, Sporring J, Darkner S, Dam EB, Lillholm M, Jørgensen D, Oh J, Chen G, Suhy J, Sørensen L, Nielsen M. Deformation-based atrophy computation by surface propagation and its application to Alzheimer's disease. J Med Imaging (Bellingham). 2016 Jan;3(1):014005. doi: 10.1117/1.JMI.3.1.014005. Epub 2016 Mar 16. PMID: 27014717; PMCID: PMC4793085.
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Biomarkers and cognitive endpoints to optimize trials in Alzheimer's disease.

Annals of clinical and translational neurology

Insel PS, Mattsson N, Mackin RS, Kornak J, Nosheny R, Tosun-Turgut D, Donohue MC, Aisen PS, Weiner MW.
PMID: 26000325
Ann Clin Transl Neurol. 2015 May;2(5):534-47. doi: 10.1002/acn3.192. Epub 2015 Mar 21.

OBJECTIVE: To find the combination of candidate biomarkers and cognitive endpoints to maximize statistical power and minimize cost of clinical trials of healthy elders at risk for cognitive decline due to Alzheimer's disease.METHODS: Four-hundred and twelve cognitively normal participants...

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Insel PS, Mattsson N, Mackin RS, et al. Biomarkers and cognitive endpoints to optimize trials in Alzheimer's disease. Ann Clin Transl Neurol. 2015;2(5):534-47doi: 10.1002/acn3.192.
Insel, P. S., Mattsson, N., Mackin, R. S., Kornak, J., Nosheny, R., Tosun-Turgut, D., Donohue, M. C., Aisen, P. S., Weiner, M. W. (2015). Biomarkers and cognitive endpoints to optimize trials in Alzheimer's disease. Annals of clinical and translational neurology, 2(5), 534-47. https://doi.org/10.1002/acn3.192
Insel, Philip S, et al. "Biomarkers and cognitive endpoints to optimize trials in Alzheimer's disease." Annals of clinical and translational neurology vol. 2,5 (2015): 534-47. doi: https://doi.org/10.1002/acn3.192
Insel PS, Mattsson N, Mackin RS, Kornak J, Nosheny R, Tosun-Turgut D, Donohue MC, Aisen PS, Weiner MW. Biomarkers and cognitive endpoints to optimize trials in Alzheimer's disease. Ann Clin Transl Neurol. 2015 May;2(5):534-47. doi: 10.1002/acn3.192. Epub 2015 Mar 21. PMID: 26000325; PMCID: PMC4435707.
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Effects of T2-Weighted MRI Based Cranial Volume Measurements on Studies of the Aging Brain.

Proceedings of SPIE--the International Society for Optical Engineering

Vuong P, Drucker D, Schwarz C, Fletcher E, Decarli C, Carmichael O.
PMID: 24353391
Proc SPIE Int Soc Opt Eng. 2013 Mar 13;8669. doi: 10.1117/12.2006727.

Many brain aging studies use total intracranial volume (TIV) as a proxy measure of premorbid brain size that is unaffected by neurodegeneration. T1-weighted Magnetic Resonance Imaging (MRI) sequences are commonly used to measure TIV, but T2-weighted MRI sequences provide...

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Vuong P, Drucker D, Schwarz C, et al. Effects of T2-Weighted MRI Based Cranial Volume Measurements on Studies of the Aging Brain. Proc SPIE Int Soc Opt Eng. 2013;8669doi: 10.1117/12.2006727.
Vuong, P., Drucker, D., Schwarz, C., Fletcher, E., Decarli, C., & Carmichael, O. (2013). Effects of T2-Weighted MRI Based Cranial Volume Measurements on Studies of the Aging Brain. Proceedings of SPIE--the International Society for Optical Engineering, 8669. https://doi.org/10.1117/12.2006727
Vuong, Phong, et al. "Effects of T2-Weighted MRI Based Cranial Volume Measurements on Studies of the Aging Brain." Proceedings of SPIE--the International Society for Optical Engineering vol. 8669 (2013). doi: https://doi.org/10.1117/12.2006727
Vuong P, Drucker D, Schwarz C, Fletcher E, Decarli C, Carmichael O. Effects of T2-Weighted MRI Based Cranial Volume Measurements on Studies of the Aging Brain. Proc SPIE Int Soc Opt Eng. 2013 Mar 13;8669. doi: 10.1117/12.2006727. PMID: 24353391; PMCID: PMC3864960.
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Religious and Spiritual Dimensions of the Vietnamese Dementia Caregiving Experience.

Hallym international journal of aging : HIJA

Hinton L, Tran JN, Tran C, Hinton D.
PMID: 20930949
Hallym Int J Aging HIJA. 2008 Jan 01;10(2):139-160. doi: 10.2190/HA.10.2.e.

This paper focuses on the role of religion and spirituality in dementia caregiving among Vietnamese refugee families. In-depth qualitative interviews were conducted with nine Vietnamese caregivers of persons with dementia, then tape-recorded, transcribed, and analyzed for emergent themes. Caregivers...

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Hinton L, Tran JN, Tran C, et al. Religious and Spiritual Dimensions of the Vietnamese Dementia Caregiving Experience. Hallym Int J Aging HIJA. 2008;10(2):139-160doi: 10.2190/HA.10.2.e.
Hinton, L., Tran, J. N., Tran, C., & Hinton, D. (2008). Religious and Spiritual Dimensions of the Vietnamese Dementia Caregiving Experience. Hallym international journal of aging : HIJA, 10(2), 139-160. https://doi.org/10.2190/HA.10.2.e
Hinton, Ladson, et al. "Religious and Spiritual Dimensions of the Vietnamese Dementia Caregiving Experience." Hallym international journal of aging : HIJA vol. 10,2 (2008): 139-160. doi: https://doi.org/10.2190/HA.10.2.e
Hinton L, Tran JN, Tran C, Hinton D. Religious and Spiritual Dimensions of the Vietnamese Dementia Caregiving Experience. Hallym Int J Aging HIJA. 2008 Jan 01;10(2):139-160. doi: 10.2190/HA.10.2.e. PMID: 20930949; PMCID: PMC2949976.
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Multiple imputation of covariates by fully conditional specification: Accommodating the substantive model.

Statistical methods in medical research

Bartlett JW, Seaman SR, White IR, Carpenter JR.
PMID: 24525487
Stat Methods Med Res. 2015 Aug;24(4):462-87. doi: 10.1177/0962280214521348. Epub 2014 Feb 12.

Missing covariate data commonly occur in epidemiological and clinical research, and are often dealt with using multiple imputation. Imputation of partially observed covariates is complicated if the substantive model is non-linear (e.g. Cox proportional hazards model), or contains non-linear...

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Bartlett JW, Seaman SR, White IR, et al. Multiple imputation of covariates by fully conditional specification: Accommodating the substantive model. Stat Methods Med Res. 2014;24(4):462-87doi: 10.1177/0962280214521348.
Bartlett, J. W., Seaman, S. R., White, I. R., Carpenter, J. R. (2015). Multiple imputation of covariates by fully conditional specification: Accommodating the substantive model. Statistical methods in medical research, 24(4), 462-87. https://doi.org/10.1177/0962280214521348
Bartlett, Jonathan W, et al. "Multiple imputation of covariates by fully conditional specification: Accommodating the substantive model." Statistical methods in medical research vol. 24,4 (2015): 462-87. doi: https://doi.org/10.1177/0962280214521348
Bartlett JW, Seaman SR, White IR, Carpenter JR. Multiple imputation of covariates by fully conditional specification: Accommodating the substantive model. Stat Methods Med Res. 2015 Aug;24(4):462-87. doi: 10.1177/0962280214521348. Epub 2014 Feb 12. PMID: 24525487; PMCID: PMC4513015.
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Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer's disease.

Frontiers in neuroinformatics

Shamonin DP, Bron EE, Lelieveldt BP, Smits M, Klein S, Staring M.
PMID: 24474917
Front Neuroinform. 2014 Jan 16;7:50. doi: 10.3389/fninf.2013.00050. eCollection 2013.

Nonrigid image registration is an important, but time-consuming task in medical image analysis. In typical neuroimaging studies, multiple image registrations are performed, i.e., for atlas-based segmentation or template construction. Faster image registration routines would therefore be beneficial. In this...

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Shamonin DP, Bron EE, Lelieveldt BP, et al. Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer's disease. Front Neuroinform. 2014;7:50doi: 10.3389/fninf.2013.00050.
Shamonin, D. P., Bron, E. E., Lelieveldt, B. P., Smits, M., Klein, S., Staring, M. (2013). Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer's disease. Frontiers in neuroinformatics, 750. https://doi.org/10.3389/fninf.2013.00050
Shamonin, Denis P, et al. "Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer's disease." Frontiers in neuroinformatics vol. 7 (2013): 50. doi: https://doi.org/10.3389/fninf.2013.00050
Shamonin DP, Bron EE, Lelieveldt BP, Smits M, Klein S, Staring M. Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer's disease. Front Neuroinform. 2014 Jan 16;7:50. doi: 10.3389/fninf.2013.00050. eCollection 2013. PMID: 24474917; PMCID: PMC3893567.
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Models of the aging brain structure and individual decline.

Frontiers in neuroinformatics

Ziegler G, Dahnke R, Gaser C.
PMID: 22435060
Front Neuroinform. 2012 Mar 14;6:3. doi: 10.3389/fninf.2012.00003. eCollection 2012.

The aging brain's structural development constitutes a spatiotemporal process that is accessible by MR-based computational morphometry. Here we introduce basic concepts and analytical approaches to quantify age-related differences and changes in neuroanatomical images of the human brain. The presented...

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Ziegler G, Dahnke R, Gaser C. Models of the aging brain structure and individual decline. Front Neuroinform. 2012;6:3doi: 10.3389/fninf.2012.00003.
Ziegler, G., Dahnke, R., Gaser, C. (2012). Models of the aging brain structure and individual decline. Frontiers in neuroinformatics, 63. https://doi.org/10.3389/fninf.2012.00003
Ziegler, Gabriel, et al. "Models of the aging brain structure and individual decline." Frontiers in neuroinformatics vol. 6 (2012): 3. doi: https://doi.org/10.3389/fninf.2012.00003
Ziegler G, Dahnke R, Gaser C. Models of the aging brain structure and individual decline. Front Neuroinform. 2012 Mar 14;6:3. doi: 10.3389/fninf.2012.00003. eCollection 2012. PMID: 22435060; PMCID: PMC3303090.
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Showing 1 to 12 of 200 entries