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Alzheimer'S & Dementia (Amsterdam, Netherlands)
|
May 14, 2023
Feasibility and acceptability of remote smartphone cognitive testing in frontotemporal dementia research
Jack Carson Taylor, Hilary W Heuer, Annie L Clark, et al.
JAMA Network Open
|
April 1, 2024
Reliability and Validity of Smartphone Cognitive Testing for Frontotemporal Lobar Degeneration
Adam M Staffaroni, Annie L Clark, Jack C Taylor, et al.
JMIR Aging
|
June 26, 2024
Examining Associations Between Smartphone Use and Clinical Severity in Frontotemporal Dementia: Proof-of-Concept Study
Emily W Paolillo, Kaitlin B Casaletto, Annie L Clark, et al.
Medrxiv : the Preprint Server for Health Sciences
|
April 18, 2024
Gene specific effects on brain volume and cognition of <i>TMEM106B</i> in frontotemporal lobar degeneration
Marijne Vandebergh, Eliana Marisa Ramos, Nick Corriveau-Lecavalier, et al.
Research Square
|
April 8, 2024
Large-scale network analysis of the cerebrospinal fluid proteome identifies molecular signatures of frontotemporal lobar degeneration
Rowan Saloner, Adam Staffaroni, Eric Dammer, et al.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|
April 25, 2025
Sex differences in clinical phenotypes of behavioral variant frontotemporal dementia
Xulin Liu, Sterre C M de Boer, Kasey Cortez, et al.
Nature Aging
|
July 7, 2025
Author Correction: Large-scale network analysis of the cerebrospinal fluid proteome identifies molecular signatures of frontotemporal lobar degeneration
Rowan Saloner, Adam M Staffaroni, Eric B Dammer, et al.
Nature Aging
|
May 16, 2025
Large-scale network analysis of the cerebrospinal fluid proteome identifies molecular signatures of frontotemporal lobar degeneration
Rowan Saloner, Adam M Staffaroni, Eric B Dammer, et al.
Annals of Neurology
|
January 29, 2026
Individualized Atrophy-Based Prediction of Dementia Progression in Familial Frontotemporal Lobar Degeneration With Bayesian Linear Mixed-Effects Modeling
Shubir Dutt, Dana Leichter, Yann Cobigo, et al.
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Search research articles
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Showing results (71-80 of 79) with videos related to
Sort By:
Page
of 8
You have reached the last page of results.
This site can display upto 79 results.
Alzheimer'S & Dementia (Amsterdam, Netherlands)
|
May 14, 2023
Feasibility and acceptability of remote smartphone cognitive testing in frontotemporal dementia research
Jack Carson Taylor, Hilary W Heuer, Annie L Clark, et al.
JAMA Network Open
|
April 1, 2024
Reliability and Validity of Smartphone Cognitive Testing for Frontotemporal Lobar Degeneration
Adam M Staffaroni, Annie L Clark, Jack C Taylor, et al.
JMIR Aging
|
June 26, 2024
Examining Associations Between Smartphone Use and Clinical Severity in Frontotemporal Dementia: Proof-of-Concept Study
Emily W Paolillo, Kaitlin B Casaletto, Annie L Clark, et al.
Medrxiv : the Preprint Server for Health Sciences
|
April 18, 2024
Gene specific effects on brain volume and cognition of <i>TMEM106B</i> in frontotemporal lobar degeneration
Marijne Vandebergh, Eliana Marisa Ramos, Nick Corriveau-Lecavalier, et al.
Research Square
|
April 8, 2024
Large-scale network analysis of the cerebrospinal fluid proteome identifies molecular signatures of frontotemporal lobar degeneration
Rowan Saloner, Adam Staffaroni, Eric Dammer, et al.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|
April 25, 2025
Sex differences in clinical phenotypes of behavioral variant frontotemporal dementia
Xulin Liu, Sterre C M de Boer, Kasey Cortez, et al.
Nature Aging
|
July 7, 2025
Author Correction: Large-scale network analysis of the cerebrospinal fluid proteome identifies molecular signatures of frontotemporal lobar degeneration
Rowan Saloner, Adam M Staffaroni, Eric B Dammer, et al.
Nature Aging
|
May 16, 2025
Large-scale network analysis of the cerebrospinal fluid proteome identifies molecular signatures of frontotemporal lobar degeneration
Rowan Saloner, Adam M Staffaroni, Eric B Dammer, et al.
Annals of Neurology
|
January 29, 2026
Individualized Atrophy-Based Prediction of Dementia Progression in Familial Frontotemporal Lobar Degeneration With Bayesian Linear Mixed-Effects Modeling
Shubir Dutt, Dana Leichter, Yann Cobigo, et al.
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of 8