Abstract
Background: Alzheimer's disease (AD) as a disconnection syndrome
disrupts both brain information sharing and memory binding functions.
The extent to which these two phenotypic expressions are shared
pathophysiological mechanisms remains unknown.Objective: To unveil the
electrophysiological correlates of integrative memory impairments in AD
towards new memory biomarkers for its prodromal stages. Methods:
Patients with 100% risk of familial AD (FAD) and healthy controls
underwent assessment with the VSTM binding test (VSTMBT) while we
recorded their EEG. We applied a novel brain connectivity method
(Weighted Symbolic Mutual Information) to EEG data.Results: Patients
showed significant deficits during the VSTMBT. A reduction of brain
connectivity was observed during resting as well as during correct VSTM
binding, particularly over frontal and posterior regions. An increase of
connectivity was found during VSTM binding performance over central
regions. While decreased connectivity was found in cases in more
advanced stages of FAD, increased brain connectivity appeared in cases
in earlier stages. Such altered patterns of task-related connectivity
were found in 89% of the assessed patients.Conclusions: VSTM binding in
the prodromal stages of FAD are associated to altered patterns of brain
connectivity thus confirming the link between integrative memory
deficits and impaired brain information sharing in prodromal FAD. While
significant loss of brain connectivity seems to be a feature of the
advanced stages of FAD increased brain connectivity characterizes its
earlier stages. These findings are discussed in the light of recent
proposals about the earliest pathophysiological mechanisms of AD and
their clinical expression.
Original language | English |
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Pages (from-to) | 1335-1347 |
Number of pages | 13 |
Journal | Current Alzheimer Research |
Volume | 14 |
Issue number | 12 |
DOIs | |
Publication status | Published - 14 Jun 2017 |
Keywords
- Alzheimer's disease
- memory binding
- brain connectivity
- mutual information
- EEG
- biomarkers
- PSEN1