Your browser doesn't support javascript.
loading
Network-wise concordance of multimodal neuroimaging features across the Alzheimer's disease continuum.
Stocks, Jane; Popuri, Karteek; Heywood, Ashley; Tosun, Duygu; Alpert, Kate; Beg, Mirza Faisal; Rosen, Howard; Wang, Lei.
Afiliação
  • Stocks J; Department of Psychiatry and Behavioral Sciences Feinberg School of Medicine Northwestern University Chicago Illinois USA.
  • Popuri K; School of Engineering Science Simon Fraser University Burnaby British Columbia Canada.
  • Heywood A; Department of Psychiatry and Behavioral Sciences Feinberg School of Medicine Northwestern University Chicago Illinois USA.
  • Tosun D; School of Medicine University of California San Francisco, California USA.
  • Alpert K; Department of Psychiatry and Behavioral Sciences Feinberg School of Medicine Northwestern University Chicago Illinois USA.
  • Beg MF; School of Engineering Science Simon Fraser University Burnaby British Columbia Canada.
  • Rosen H; School of Medicine University of California San Francisco, California USA.
  • Wang L; Department of Psychiatry and Behavioral Sciences Feinberg School of Medicine Northwestern University Chicago Illinois USA.
Alzheimers Dement (Amst) ; 14(1): e12304, 2022.
Article em En | MEDLINE | ID: mdl-35496375
ABSTRACT

Background:

Concordance between cortical atrophy and cortical glucose hypometabolism within distributed brain networks was evaluated among cerebrospinal fluid (CSF) biomarker-defined amyloid/tau/neurodegeneration (A/T/N) groups.

Method:

We computed correlations between cortical thickness and fluorodeoxyglucose metabolism within 12 functional brain networks. Differences among A/T/N groups (biomarker normal [BN], Alzheimer's disease [AD] continuum, suspected non-AD pathologic change [SNAP]) in network concordance and relationships to longitudinal change in cognition were assessed.

Results:

Network-wise markers of concordance distinguish SNAP subjects from BN subjects within the posterior multimodal and language networks. AD-continuum subjects showed increased concordance in 9/12 networks assessed compared to BN subjects, as well as widespread atrophy and hypometabolism. Baseline network concordance was associated with longitudinal change in a composite memory variable in both SNAP and AD-continuum subjects.

Conclusions:

Our novel study investigates the interrelationships between atrophy and hypometabolism across brain networks in A/T/N groups, helping disentangle the structure-function relationships that contribute to both clinical outcomes and diagnostic uncertainty in AD.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article