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Lattmann, R.

Publications and source records attributed to Lattmann, R..

2 recordsLinked to original sources

Disrupted Forward Connectivity in Parieto-temporal Network Impairs Memory Performance in Alzheimer's Disease

Alzheimers disease (AD) is characterised by the accumulation of beta-amyloid (A{beta}) and tau proteins, leading to neurodegeneration and cognitive decline. While A{beta} and tau are known to disrupt synaptic function, the mechanisms linking these molecular pathologies to network-level dysfunction and memory impairment remain poorly understood. Here we investigated the effects of A{beta} and tau pathology (CSF A{beta}42/40 ratio and tau phosphorylated at position 181, p-tau-181, respectively) on effective connectivity (EC) related to memory encoding, which may constitute a link between synaptic pathology and cognitive outcomes. Functional magnetic resonance imaging (fMRI) during visual memory encoding was acquired from participants of the multicentric DZNE Longitudinal Cognitive Impairment and Dementia Study (DELCODE), including 203 cognitively normal older participants (CN) as well as individuals with subjective cognitive decline (SCD; N = 204), mild cognitive impairment (MCI; N = 65), and early dementia due to AD (DAT; N = 21). EC was assessed by applying Dynamic causal modelling (DCM) to the fMRI data, using brain regions previously implicated in memory-encoding: the parahippocampal place area (PPA), the hippocampus (HC) and the precuneus (PCU). Disruptions in forward connectivity from the PPA to the HC and PCU were associated with both memory impairment and indices of AD pathology. Specifically, reduced excitatory EC from the PPA to the HC was associated with higher p-tau-181 levels and correlated with poorer memory performance. Diminished inhibitory EC from the PPA to the PCU was driven by both tau and amyloid pathology and was likewise linked to memory decline. Our findings suggest that disrupted forward connectivity within the temporo-parietal memory network constitutes a candidate mechanism mediating the relationship between molecular pathology and cognitive dysfunction.

neuroscience↗

Decomposing the effects of alpha-tACS on brain oscillations and aperiodic 1/f activity

BackgroundAftereffects of transcranial alternating current stimulation (tACS) are usually analyzed with a focus on the individual frequency band, thereby neglecting broadband spectral components. Recently, it was shown that the broadband spectrum, which exhibits a 1/f-like characteristic, is functionally relevant. Objective/HypothesisThe goal of this study was a spectral parameterization of brain activity into oscillatory alpha activity and aperiodic 1/f components before and after tACS and sham stimulation. It was expected that the broadband spectrum will not be differentially influenced by 20-min of tACS at individual -frequency (IAF) in comparison to sham. Additionally, it was expected that the tACS aftereffect on the -band can still be observed, even when controlling for 1/f activity differences. MethodsWe performed a re-analysis of a recently published resting-state tACS-magnetoencephalography (MEG) data set. Parameterization of the frequency spectrum was computed with the fitting-oscillations-and-one-over-F (FOOOF) algorithm. The intercept as well as the slope parameter of the aperiodic 1/f fit was extracted. Data was analyzed in sensor space with a focus on magnetometers. Comparison of changes in -band power and 1/f activity was performed with non-parametric cluster-based random permutation tests. ResultsThe tACS aftereffect survived the 1/f-correction. The previously observed natural rise in alpha oscillations over time independent of experimental conditions could not be replicated. However, differences in aperiodic parameters over time were observed. Especially, the intercept parameter increased from pre to post stimulation to a similar degree in both conditions. ConclusionIt is imperative to correct for the aperiodic 1/f spectral component when analyzing aftereffects of brain stimulation on brain oscillations.

neuroscience↗