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Showing 1 to 12 of 492 entries
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Cross-View Neuroimage Pattern Analysis in Alzheimer's Disease Staging.

Frontiers in aging neuroscience

Liu S, Cai W, Pujol S, Kikinis R, Feng DD.
PMID: 26941639
Front Aging Neurosci. 2016 Feb 23;8:23. doi: 10.3389/fnagi.2016.00023. eCollection 2016.

The research on staging of pre-symptomatic and prodromal phase of neurological disorders, e.g., Alzheimer's disease (AD), is essential for prevention of dementia. New strategies for AD staging with a focus on early detection, are demanded to optimize potential efficacy...

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Liu S, Cai W, Pujol S, et al. Cross-View Neuroimage Pattern Analysis in Alzheimer's Disease Staging. Front Aging Neurosci. 2016;8:23doi: 10.3389/fnagi.2016.00023.
Liu, S., Cai, W., Pujol, S., Kikinis, R., Feng, D. D. (2016). Cross-View Neuroimage Pattern Analysis in Alzheimer's Disease Staging. Frontiers in aging neuroscience, 823. https://doi.org/10.3389/fnagi.2016.00023
Liu, Sidong, et al. "Cross-View Neuroimage Pattern Analysis in Alzheimer's Disease Staging." Frontiers in aging neuroscience vol. 8 (2016): 23. doi: https://doi.org/10.3389/fnagi.2016.00023
Liu S, Cai W, Pujol S, Kikinis R, Feng DD. Cross-View Neuroimage Pattern Analysis in Alzheimer's Disease Staging. Front Aging Neurosci. 2016 Feb 23;8:23. doi: 10.3389/fnagi.2016.00023. eCollection 2016. PMID: 26941639; PMCID: PMC4763344.
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The Effect of Statins on Rate of Cognitive Decline in Mild Cognitive Impairment.

Alzheimer's & dementia (New York, N. Y.)

Smith KB, Kang P, Sabbagh MN.
PMID: 28480324
Alzheimers Dement (N Y). 2017 Jun;3(2):149-156. doi: 10.1016/j.trci.2017.01.001.

OBJECTIVE: This study's aims are to identify whether or not a relationship between statin use and rate of cognitive decline exists.BACKGROUND: The relationship between statins and MCI has been investigated in the past with the evidence showing mixed results.METHODS:...

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Smith KB, Kang P, Sabbagh MN. The Effect of Statins on Rate of Cognitive Decline in Mild Cognitive Impairment. Alzheimers Dement (N Y). 2017;3(2):149-156doi: 10.1016/j.trci.2017.01.001.
Smith, K. B., Kang, P., Sabbagh, M. N. (2017). The Effect of Statins on Rate of Cognitive Decline in Mild Cognitive Impairment. Alzheimer's & dementia (New York, N. Y.), 3(2), 149-156. https://doi.org/10.1016/j.trci.2017.01.001
Smith, Kyle B, et al. "The Effect of Statins on Rate of Cognitive Decline in Mild Cognitive Impairment." Alzheimer's & dementia (New York, N. Y.) vol. 3,2 (2017): 149-156. doi: https://doi.org/10.1016/j.trci.2017.01.001
Smith KB, Kang P, Sabbagh MN. The Effect of Statins on Rate of Cognitive Decline in Mild Cognitive Impairment. Alzheimers Dement (N Y). 2017 Jun;3(2):149-156. doi: 10.1016/j.trci.2017.01.001. PMID: 28480324; PMCID: PMC5412714.
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Longitudinal Analysis for Disease Progression via Simultaneous Multi-Relational Temporal-Fused Learning.

Frontiers in aging neuroscience

Lei B, Jiang F, Chen S, Ni D, Wang T.
PMID: 28316569
Front Aging Neurosci. 2017 Mar 03;9:6. doi: 10.3389/fnagi.2017.00006. eCollection 2017.

It is highly desirable to predict the progression of Alzheimer's disease (AD) of patients [e.g., to predict conversion of mild cognitive impairment (MCI) to AD], especially longitudinal prediction of AD is important for its early diagnosis. Currently, most existing...

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Lei B, Jiang F, Chen S, et al. Longitudinal Analysis for Disease Progression via Simultaneous Multi-Relational Temporal-Fused Learning. Front Aging Neurosci. 2017;9:6doi: 10.3389/fnagi.2017.00006.
Lei, B., Jiang, F., Chen, S., Ni, D., & Wang, T. (2017). Longitudinal Analysis for Disease Progression via Simultaneous Multi-Relational Temporal-Fused Learning. Frontiers in aging neuroscience, 96. https://doi.org/10.3389/fnagi.2017.00006
Lei, Baiying, et al. "Longitudinal Analysis for Disease Progression via Simultaneous Multi-Relational Temporal-Fused Learning." Frontiers in aging neuroscience vol. 9 (2017): 6. doi: https://doi.org/10.3389/fnagi.2017.00006
Lei B, Jiang F, Chen S, Ni D, Wang T. Longitudinal Analysis for Disease Progression via Simultaneous Multi-Relational Temporal-Fused Learning. Front Aging Neurosci. 2017 Mar 03;9:6. doi: 10.3389/fnagi.2017.00006. eCollection 2017. PMID: 28316569; PMCID: PMC5335657.
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Combined Plasma and Cerebrospinal Fluid Signature for the Prediction of Midterm Progression From Mild Cognitive Impairment to Alzheimer Disease.

JAMA neurology

Lehallier B, Essioux L, Gayan J, Alexandridis R, Nikolcheva T, Wyss-Coray T, Britschgi M.
PMID: 26659895
JAMA Neurol. 2016 Feb;73(2):203-212. doi: 10.1001/jamaneurol.2015.3135. Epub 2015 Dec 14.

IMPORTANCE: A reliable method of detecting Alzheimer disease (AD) in its prodromal state is needed for patient stratification in clinical trials or for personalizing existing or potential upcoming therapies. Current cerebrospinal fluid (CSF)- or imaging-based single biomarkers for AD...

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Lehallier B, Essioux L, Gayan J, et al. Combined Plasma and Cerebrospinal Fluid Signature for the Prediction of Midterm Progression From Mild Cognitive Impairment to Alzheimer Disease. JAMA Neurol. 2015;73(2):203-212doi: 10.1001/jamaneurol.2015.3135.
Lehallier, B., Essioux, L., Gayan, J., Alexandridis, R., Nikolcheva, T., Wyss-Coray, T., Britschgi, M. (2016). Combined Plasma and Cerebrospinal Fluid Signature for the Prediction of Midterm Progression From Mild Cognitive Impairment to Alzheimer Disease. JAMA neurology, 73(2), 203-212. https://doi.org/10.1001/jamaneurol.2015.3135
Lehallier, Benoit, et al. "Combined Plasma and Cerebrospinal Fluid Signature for the Prediction of Midterm Progression From Mild Cognitive Impairment to Alzheimer Disease." JAMA neurology vol. 73,2 (2016): 203-212. doi: https://doi.org/10.1001/jamaneurol.2015.3135
Lehallier B, Essioux L, Gayan J, Alexandridis R, Nikolcheva T, Wyss-Coray T, Britschgi M. Combined Plasma and Cerebrospinal Fluid Signature for the Prediction of Midterm Progression From Mild Cognitive Impairment to Alzheimer Disease. JAMA Neurol. 2016 Feb;73(2):203-212. doi: 10.1001/jamaneurol.2015.3135. Epub 2015 Dec 14. PMID: 26659895; PMCID: PMC5214993.
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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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Tau and Pet/Mri Imaging Biomarkers for Detecting and Diagnosing Early Dementia.

Jacobs journal of medical diagnosis and medical imaging

Zhou Y, Bai B.
PMID: 29026896
Jacobs J Med Diagn Med Imaging. 2017 Nov;2(1). Epub 2017 Aug 08.

Specific objective of this project is to quantify the neuropathological tau depositions in brain regions and to investigate primary age-related tau pathology and associations with amyloid and glucose-metabolism, neurocognitive tests and MRI metrics. Preliminary results demonstrated higher temporal deposition...

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Zhou Y, Bai B. Tau and Pet/Mri Imaging Biomarkers for Detecting and Diagnosing Early Dementia. Jacobs J Med Diagn Med Imaging. 2017;2(1)
Zhou, Y., & Bai, B. (2017). Tau and Pet/Mri Imaging Biomarkers for Detecting and Diagnosing Early Dementia. Jacobs journal of medical diagnosis and medical imaging, 2(1), .
Zhou, Yongxia, and Bai, Bing. "Tau and Pet/Mri Imaging Biomarkers for Detecting and Diagnosing Early Dementia." Jacobs journal of medical diagnosis and medical imaging vol. 2,1 (2017).
Zhou Y, Bai B. Tau and Pet/Mri Imaging Biomarkers for Detecting and Diagnosing Early Dementia. Jacobs J Med Diagn Med Imaging. 2017 Nov;2(1). Epub 2017 Aug 08. PMID: 29026896; PMCID: PMC5634528.
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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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Building a Surface Atlas of Hippocampal Subfields from MRI Scans using FreeSurfer, FIRST and SPHARM.

The ... Midwest Symposium on Circuits and Systems conference proceedings : MWSCAS. Midwest Symposium on Circuits and Systems

Cong S, Rizkalla M, Du EY, West J, Risacher S, Saykin A, Shen L.
PMID: 25477768
Conf Proc (Midwest Symp Circuits Syst). 2014 Aug;2014:813-816. doi: 10.1109/MWSCAS.2014.6908539.

The hippocampus is widely studied with neuroimaging techniques given its importance in learning and memory and its potential as a biomarker for brain disorders such as Alzheimer's disease and epilepsy. However, its complex folding anatomy often presents analytical challenges....

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Cong S, Rizkalla M, Du EY, et al. Building a Surface Atlas of Hippocampal Subfields from MRI Scans using FreeSurfer, FIRST and SPHARM. Conf Proc (Midwest Symp Circuits Syst). 2014;2014:813-816doi: 10.1109/MWSCAS.2014.6908539.
Cong, S., Rizkalla, M., Du, E. Y., West, J., Risacher, S., Saykin, A., Shen, L. (2014). Building a Surface Atlas of Hippocampal Subfields from MRI Scans using FreeSurfer, FIRST and SPHARM. The ... Midwest Symposium on Circuits and Systems conference proceedings : MWSCAS. Midwest Symposium on Circuits and Systems, 2014813-816. https://doi.org/10.1109/MWSCAS.2014.6908539
Cong, Shan, et al. "Building a Surface Atlas of Hippocampal Subfields from MRI Scans using FreeSurfer, FIRST and SPHARM." The ... Midwest Symposium on Circuits and Systems conference proceedings : MWSCAS. Midwest Symposium on Circuits and Systems vol. 2014 (2014): 813-816. doi: https://doi.org/10.1109/MWSCAS.2014.6908539
Cong S, Rizkalla M, Du EY, West J, Risacher S, Saykin A, Shen L. Building a Surface Atlas of Hippocampal Subfields from MRI Scans using FreeSurfer, FIRST and SPHARM. Conf Proc (Midwest Symp Circuits Syst). 2014 Aug;2014:813-816. doi: 10.1109/MWSCAS.2014.6908539. PMID: 25477768; PMCID: PMC4248676.
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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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Predicting progression from mild cognitive impairment to Alzheimer's disease using longitudinal callosal atrophy.

Alzheimer's & dementia (Amsterdam, Netherlands)

Lee SH, Bachman AH, Yu D, Lim J, Ardekani BA.
PMID: 27239537
Alzheimers Dement (Amst). 2016 Mar 08;2:68-74. doi: 10.1016/j.dadm.2016.01.003. eCollection 2016.

INTRODUCTION: We investigate whether longitudinal callosal atrophy could predict conversion from mild cognitive impairment (MCI) to Alzheimer's disease (AD).METHODS: Longitudinal (baseline + 1-year follow-up) MRI scans of 132 MCI subjects from the Alzheimer's Disease Neuroimaging Initiative were used. A...

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Lee SH, Bachman AH, Yu D, et al. Predicting progression from mild cognitive impairment to Alzheimer's disease using longitudinal callosal atrophy. Alzheimers Dement (Amst). 2016;2:68-74doi: 10.1016/j.dadm.2016.01.003.
Lee, S. H., Bachman, A. H., Yu, D., Lim, J., & Ardekani, B. A. (2016). Predicting progression from mild cognitive impairment to Alzheimer's disease using longitudinal callosal atrophy. Alzheimer's & dementia (Amsterdam, Netherlands), 268-74. https://doi.org/10.1016/j.dadm.2016.01.003
Lee, Sang Han, et al. "Predicting progression from mild cognitive impairment to Alzheimer's disease using longitudinal callosal atrophy." Alzheimer's & dementia (Amsterdam, Netherlands) vol. 2 (2016): 68-74. doi: https://doi.org/10.1016/j.dadm.2016.01.003
Lee SH, Bachman AH, Yu D, Lim J, Ardekani BA. Predicting progression from mild cognitive impairment to Alzheimer's disease using longitudinal callosal atrophy. Alzheimers Dement (Amst). 2016 Mar 08;2:68-74. doi: 10.1016/j.dadm.2016.01.003. eCollection 2016. PMID: 27239537; PMCID: PMC4879655.
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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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NETWORK-BASED GENOME WIDE STUDY OF HIPPOCAMPAL IMAGING PHENOTYPE IN ALZHEIMER'S DISEASE TO IDENTIFY FUNCTIONAL INTERACTION MODULES.

Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)

Yao X, Yan J, Risacher S, Moore J, Saykin A, Shen L.
PMID: 28989328
Proc IEEE Int Conf Acoust Speech Signal Process. 2017;2017:6170-6174. doi: 10.1109/ICASSP.2017.7953342. Epub 2017 Jun 19.

Identification of functional modules from biological network is a promising approach to enhance the statistical power of genome-wide association study (GWAS) and improve biological interpretation for complex diseases. The precise functions of genes are highly relevant to tissue context,...

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Yao X, Yan J, Risacher S, et al. NETWORK-BASED GENOME WIDE STUDY OF HIPPOCAMPAL IMAGING PHENOTYPE IN ALZHEIMER'S DISEASE TO IDENTIFY FUNCTIONAL INTERACTION MODULES. Proc IEEE Int Conf Acoust Speech Signal Process. 2017;2017:6170-6174doi: 10.1109/ICASSP.2017.7953342.
Yao, X., Yan, J., Risacher, S., Moore, J., Saykin, A., & Shen, L. (2017). NETWORK-BASED GENOME WIDE STUDY OF HIPPOCAMPAL IMAGING PHENOTYPE IN ALZHEIMER'S DISEASE TO IDENTIFY FUNCTIONAL INTERACTION MODULES. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference), 20176170-6174. https://doi.org/10.1109/ICASSP.2017.7953342
Yao, Xiaohui, et al. "NETWORK-BASED GENOME WIDE STUDY OF HIPPOCAMPAL IMAGING PHENOTYPE IN ALZHEIMER'S DISEASE TO IDENTIFY FUNCTIONAL INTERACTION MODULES." Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference) vol. 2017 (2017): 6170-6174. doi: https://doi.org/10.1109/ICASSP.2017.7953342
Yao X, Yan J, Risacher S, Moore J, Saykin A, Shen L. NETWORK-BASED GENOME WIDE STUDY OF HIPPOCAMPAL IMAGING PHENOTYPE IN ALZHEIMER'S DISEASE TO IDENTIFY FUNCTIONAL INTERACTION MODULES. Proc IEEE Int Conf Acoust Speech Signal Process. 2017;2017:6170-6174. doi: 10.1109/ICASSP.2017.7953342. Epub 2017 Jun 19. PMID: 28989328; PMCID: PMC5627518.
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Showing 1 to 12 of 492 entries