Statistical Parametric Mapping in Amyloid Positron Emission Tomography.
Alzheimer’s disease
PET
SPM
amyloid
dementia
Journal
Frontiers in aging neuroscience
ISSN: 1663-4365
Titre abrégé: Front Aging Neurosci
Pays: Switzerland
ID NLM: 101525824
Informations de publication
Date de publication:
2022
2022
Historique:
received:
06
01
2022
accepted:
21
03
2022
entrez:
13
5
2022
pubmed:
14
5
2022
medline:
14
5
2022
Statut:
epublish
Résumé
Alzheimer's disease (AD), the most common cause of dementia, has limited treatment options. Emerging disease modifying therapies are targeted at clearing amyloid-β (Aβ) aggregates and slowing the rate of amyloid deposition. However, amyloid burden is not routinely evaluated quantitatively for purposes of disease progression and treatment response assessment. Statistical Parametric Mapping (SPM) is a technique comparing single-subject Positron Emission Tomography (PET) to a healthy cohort that may improve quantification of amyloid burden and diagnostic performance. While primarily used in 2-[
Identifiants
pubmed: 35547630
doi: 10.3389/fnagi.2022.849932
pmc: PMC9083453
doi:
Types de publication
Journal Article
Langues
eng
Pagination
849932Subventions
Organisme : NIA NIH HHS
ID : P30 AG066512
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG057848
Pays : United States
Informations de copyright
Copyright © 2022 Smith, Ford, Haghdel, Glodzik, Li, D’Angelo, RoyChoudhury, Wang, Blennow, de Leon and Ivanidze.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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