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BMC Neurology
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June 23, 2007
Neuropathological findings processed by artificial neural networks (ANNs) can perfectly distinguish Alzheimer's patients from controls in the Nun Study
Enzo Grossi, Massimo P Buscema, David Snowdon, et al.
Journal of Alzheimer'S Disease : JAD
|
February 18, 2022
Lights and Shadows of Cerebrospinal Fluid Biomarkers in the Current Alzheimer's Disease Framework
Maurizio Gallucci, Leandro Cenesi, Céline White, et al.
Neuroinformatics
|
April 1, 2005
Artificial neural networks and artificial organisms can predict Alzheimer pathology in individual patients only on the basis of cognitive and functional status
Massimo Buscema, Enzo Grossi, David Snowdon, et al.
Magnetic Resonance Imaging
|
January 1, 2008
The phase shift index for marking functional asynchrony in Alzheimer's disease patients using fMRI
Yin Xu, Guofan Xu, Gaohong Wu, et al.
Magnetic Resonance in Medicine
|
February 16, 2012
A method to determine the necessity for global signal regression in resting-state fMRI studies
Gang Chen, Guangyu Chen, Chunming Xie, et al.
Neurobiology of Aging
|
October 18, 2005
Age-related functional recruitment for famous name recognition: an event-related fMRI study
Kristy A Nielson, Kelli L Douville, Michael Seidenberg, et al.
Biomarker Insights
|
August 20, 2009
Ceruloplasmin (2-D PAGE) Pattern and Copper Content in Serum and Brain of Alzheimer Disease Patients
Rosanna Squitti, Carlo C Quattrocchi, Gloria Dal Forno, et al.
Journal of Cognitive Neuroscience
|
June 23, 2007
Temporally graded activation of neocortical regions in response to memories of different ages
John L Woodard, Michael Seidenberg, Kristy A Nielson, et al.
Radiology
|
January 21, 2011
Classification of Alzheimer disease, mild cognitive impairment, and normal cognitive status with large-scale network analysis based on resting-state functional MR imaging
Gang Chen, B Douglas Ward, Chunming Xie, et al.
Journal of the International Neuropsychological Society : JINS
|
January 9, 2009
Semantic knowledge for famous names in mild cognitive impairment
Michael Seidenberg, Leslie Guidotti, Kristy A Nielson, et al.
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of 3
Search research articles
Search
Showing results (1-10 of 23) with videos related to
Sort By:
Page
of 3
BMC Neurology
|
June 23, 2007
Neuropathological findings processed by artificial neural networks (ANNs) can perfectly distinguish Alzheimer's patients from controls in the Nun Study
Enzo Grossi, Massimo P Buscema, David Snowdon, et al.
Journal of Alzheimer'S Disease : JAD
|
February 18, 2022
Lights and Shadows of Cerebrospinal Fluid Biomarkers in the Current Alzheimer's Disease Framework
Maurizio Gallucci, Leandro Cenesi, Céline White, et al.
Neuroinformatics
|
April 1, 2005
Artificial neural networks and artificial organisms can predict Alzheimer pathology in individual patients only on the basis of cognitive and functional status
Massimo Buscema, Enzo Grossi, David Snowdon, et al.
Magnetic Resonance Imaging
|
January 1, 2008
The phase shift index for marking functional asynchrony in Alzheimer's disease patients using fMRI
Yin Xu, Guofan Xu, Gaohong Wu, et al.
Magnetic Resonance in Medicine
|
February 16, 2012
A method to determine the necessity for global signal regression in resting-state fMRI studies
Gang Chen, Guangyu Chen, Chunming Xie, et al.
Neurobiology of Aging
|
October 18, 2005
Age-related functional recruitment for famous name recognition: an event-related fMRI study
Kristy A Nielson, Kelli L Douville, Michael Seidenberg, et al.
Biomarker Insights
|
August 20, 2009
Ceruloplasmin (2-D PAGE) Pattern and Copper Content in Serum and Brain of Alzheimer Disease Patients
Rosanna Squitti, Carlo C Quattrocchi, Gloria Dal Forno, et al.
Journal of Cognitive Neuroscience
|
June 23, 2007
Temporally graded activation of neocortical regions in response to memories of different ages
John L Woodard, Michael Seidenberg, Kristy A Nielson, et al.
Radiology
|
January 21, 2011
Classification of Alzheimer disease, mild cognitive impairment, and normal cognitive status with large-scale network analysis based on resting-state functional MR imaging
Gang Chen, B Douglas Ward, Chunming Xie, et al.
Journal of the International Neuropsychological Society : JINS
|
January 9, 2009
Semantic knowledge for famous names in mild cognitive impairment
Michael Seidenberg, Leslie Guidotti, Kristy A Nielson, et al.
Page
of 3