Intrinsic functional connectivity, CSF biomarker profiles and their relation to cognitive function in mild cognitive impairment.


Journal

Acta neuropsychiatrica
ISSN: 1601-5215
Titre abrégé: Acta Neuropsychiatr
Pays: England
ID NLM: 9612501

Informations de publication

Date de publication:
Aug 2020
Historique:
pubmed: 6 12 2019
medline: 29 4 2021
entrez: 6 12 2019
Statut: ppublish

Résumé

Mild cognitive impairment (MCI) often precedes Alzheimer's Dementia (AD), and in a high proportion of individuals affected by MCI, there are already neuropathological processes ongoing that become more evident when patients progress to AD. Accordingly, there is a need for reliable biomarkers to distinguish between normal aging and incipient AD. Recent research suggests that, in addition to established biomarkers such as CSF Aß42, total tau and hyperphosphorylated tau, resting state connectivity established by functional magnetic resonance imaging might also be a feasible biomarker for prodromal stages of AD. In order to explore this possibility, we investigated resting state functional connectivity as well as cerebrospinal fluid (CSF) biomarker profiles in patients with MCI (n = 30; age 66.43 ± 7.06 years) and cognitively healthy controls (n = 38; age 66.89 ± 7.12 years). CSF Aß42, total tau and hyperphosphorylated tau concentrations were correlated with measures of cognitive performance (immediate and delayed recall, global cognition, processing speed). Moreover, MCI-related alterations in intrinsic functional connectivity within the default mode network were investigated using functional resting state MRI. As expected, MCI patients showed decreased CSF Aß42 and increased total tau concentrations. These alterations were associated with cognitive performance. However, there were no differences between MCI patients and cognitively healthy controls regarding intrinsic functional connectivity. In conclusion, our results indicate that CSF protein profiles seem to be more closely related to cognitive decline than alterations in resting state activity. Thus, resting state connectivity might not be a reliable biomarker for early stages of AD.

Identifiants

pubmed: 31801648
pii: S0924270819000498
doi: 10.1017/neu.2019.49
doi:

Substances chimiques

Amyloid beta-Peptides 0
Biomarkers 0
MAPT protein, human 0
Peptide Fragments 0
amyloid beta-protein (40-42) 0
tau Proteins 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

206-213

Auteurs

Silke Matura (S)

Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany.

Jan Köhler (J)

Department of Child and Adolescent Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany.

Andreas Reif (A)

Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany.

Fabian Fusser (F)

Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany.

Tarik Karakaya (T)

Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany.

Monika Scheibe (M)

Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany.

Felix Ehret (F)

Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany.

Daniel Hartmann (D)

Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany.

Jun-Suk Kang (JS)

Department of Neurology, University Hospital, Goethe University, Frankfurt, Germany.

Christoph Mayer (C)

Department of Neurology, University Hospital, Goethe University, Frankfurt, Germany.

David Prvulovic (D)

Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany.

Johannes Pantel (J)

Institute of General Practice, Goethe University, Frankfurt, Germany.

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Classifications MeSH