Nature CommunicationsNeurosciencePeer-reviewed journal article
Dysfunction of the episodic memory network in the Alzheimer's disease cascade
René LattmanniD, Niklas VockertiD, Jose BernaliD, Judith Wesenberg, Yanin SuksangkharniD, Renat YakupoviD, Hartmut SchützeiD, Wenzel GlanziD, Enise Irem IncesoyiD, Michaela Butryn, Falk LüsebrinkiD, Matthias Schmid, Melina StarkiD, Luca KleineidamiD, Annika E. SpottkeiD, Marie CoenjaertsiD, Frederic BrosseroniD, Klaus FließbachiD, Anja SchneideriD, Peter DechentiD, Klaus ScheffleriD, Stefan HetzeriD, Alfredo Ramı́reziD, Christoph LaskeiD, Sebastian SodenkampiD, , Emrah DüzeliD
Abstract
Alzheimers disease (AD) is a major cause of dementia and cognitive decline. Here we assessed how episodic memory circuit dysfunction, a hallmark of AD, is related to the longitudinal cascade of AD biomarkers, neurodegeneration and cognition using data from the DZNE Longitudinal Cognitive Impairment and Dementia study. This data set is unique by including over 1000 longitudinal functional magnetic resonance imaging (fMRI) measurements during episodic memory encoding. We leveraged a disease progression model (DPM) to obtain AD progression scores. Voxel-wise analyses revealed widespread loss of deactivation (hyperactivation) and activation (hypoactivation) with increasing disease stage. Hyperactivation trajectories were nonlinear and visually preceded trajectories of cognition. Overall, hyperactivation was independently associated with co-occurrence of amyloid- and tau-positivity and neurodegeneration, suggesting synaptic dysfunction and neurodegeneration as two independent drives of cognitive decline. Our results therefore provide evidence for a critical time window in which pharmacological treatments targeting the synapse may improve cognition.
- organism: human
- assay: imaging
- research focus: cell-cell communication
- research focus: differential expression
- research focus: spatial domain detection
- research focus: trajectory inference
- approach: statistical model
- Citations
- 8
- FWCI
- 18.93
- Field percentile
- top 1%
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