Biology subjects

Vockert, N.

Publications and source records attributed to Vockert, N..

9 recordsLinked to original sources

bioRxiv2026

Mesoscale medial temporal lobe connectivity patterns relate to tau pathology and memory in older adults

The medial temporal lobe (MTL) is crucial for episodic memory. Tau pathology is a hallmark of Alzheimer's disease (AD) and accumulates in layer-specific patterns in the MTL during aging. It is, however, unclear whether early AD pathology relates to mesoscale network signatures distinct from non-pathological aging. To address this gap, we acquired 7 Tesla submillimeter-resolution resting-state fMRI, plasma-based AD biomarkers, glial fibrillary acidic protein (GFAP) levels, APOE genotype, regional [18F]PI-2620 tau PET burden, and longitudinal episodic memory data in 75 cognitively unimpaired older adults. Older age was associated with lower perirhinal-hippocampal connectivity and lower network segregation, whereas higher plasma-based AD pathology was associated with higher perirhinal-hippocampal connectivity. Furthermore, temporal-lobe tau burden was related to altered connectivity patterns in tau-vulnerable MTL subfields and layers, dependent on GFAP levels. Retrosplenial tau burden was associated with higher hippocampal-retrosplenial connectivity consistent with tau spread along canonical hippocampal output pathways. Finally, higher connectivity within the hippocampus attenuated the negative association between temporal-lobe tau burden and memory performance but predicted unfavorable memory trajectories. Our findings show differential associations of age and AD pathology with mesoscale MTL-connectivity patterns. Importantly, increased hippocampal connectivity may support memory function in the short term while contributing to subsequent memory decline.

neuroscience↗

bioRxiv2026

The in-vivo microstructural profile of human hippocampal subfield CA1 and its relation to memory performance

The hippocampal CA1 subregion supports learning, memory formation, and spatial navigation. Although its three-layered architecture has been described in ex-vivo investigations, the in-vivo microstructural profile of CA1 and its relation to individual variations in memory performance remain poorly characterized. In this study, we used ultra-high field structural MRI at 7 Tesla to investigate the depth-dependent myelination patterns (measured by quantitative T1) of CA1 in younger adults, their relation to the local arterial architecture, and their association with individual differences in cognitive functions, specifically memory performance. Results show that left and right CA1 present depth-dependent patterns of myelination, with the outer and inner compartments showing higher myelination than the middle compartment. No significant relationship between layer-specific myelination of CA1 and distance to the nearest artery was observed. Right CA1 was found to be more myelinated than left CA1. Pairwise correlations and regression models showed that higher left CA1 myelination is linked to higher accuracy in object localization. Together, our data demonstrates the feasibility of describing the three layered myelin architecture of CA1 in vivo, and provides information on how alterations in the architecture of CA1 may relate to alterations in cognitive performance in younger adults.

neuroscience↗

bioRxiv2025

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↗

bioRxiv2024

Differential effects of aging, Alzheimer's pathology, and APOE4 on longitudinal functional connectivity and episodic memory in older adults

INTRODUCTIONBoth aging and Alzheimers disease (AD) affect episodic memory networks. How this relates to region-specific early differences in functional connectivity (FC), however, remains unclear. METHODSWe assessed resting-state FC strength in the medial temporal lobe (MTL) - posteromedial cortex (PMC) - prefrontal network and cognition over two years in cognitively normal older adults from the PREVENT-AD cohort. RESULTSFC strength within PMC and between posterior hippocampus and inferomedial precuneus decreased in "normal" aging (amyloid- and tau-negative adults). Lower FC strength within PMC was associated with poorer longitudinal episodic memory performance. Increasing FC between anterior hippocampus and superior precuneus was related to higher baseline AD pathology. Higher FC strength was differentially associated with memory trajectories depending on APOE4 genotype. DISCUSSIONFindings suggest differential effects of aging and AD pathology on longitudinal FC. MTL-PMC hypoconnectivity was related to aging and cognitive decline. Furthermore, MTL-PMC hyperconnectivity was related to early AD pathology and cognitive decline in APOE4 carriers. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=86 SRC="FIGDIR/small/627967v1_ufig1.gif" ALT="Figure 1"> View larger version (21K): org.highwire.dtl.DTLVardef@12c0cc9org.highwire.dtl.DTLVardef@fb7c6borg.highwire.dtl.DTLVardef@a56bdforg.highwire.dtl.DTLVardef@4d1773_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGraphical abstract.C_FLOATNO A) "Normal aging" is characterized by a longitudinal decrease in functional connectivity. B) Cognitively unimpaired older adults with more Alzheimers pathology at baseline (measured via cerebrospinal fluid) exhibit a longitudinal increase in functional connectivity. C_FIG

neuroscience↗

bioRxiv2024

Dysfunction of the episodic memory network in the Alzheimer's disease cascade

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.

neuroscience↗

bioRxiv2024

Precuneus activity during retrieval is positively associated with amyloid burden in cognitively normal older APOE4 carriers

The precuneus is an early site of amyloid-beta (A{beta}) accumulation. Previous cross-sectional studies reported increased precuneus fMRI activity in older adults with mild cognitive deficits or elevated A{beta}. However, longitudinal studies in early Alzheimers disease (AD) risk stages are lacking and the interaction with Apolipoprotein-E (APOE) genotype is unclear. In the PREVENT-AD cohort, we assessed how precuneus activity during successful memory retrieval at baseline and over time relates to future A{beta} and tau burden and to change in memory performance. We further studied the moderation by APOE4 genotype. We included 165 older adults (age: 62.8{+/-}4.4 years; 113 female; 66 APOE4 carriers) who were cognitively normal at baseline and had a family history of AD. All participants performed task-fMRI at baseline and underwent 18F-flortaucipir-PET and 18F-NAV4694-A{beta}-PET on average 5 years later. We found that higher baseline activity and greater longitudinal change in activity in precuneus were associated with higher subsequent A{beta} in APOE4 carriers but not non-carriers. There were no effects of precuneus activity on tau burden. Finally, APOE4 non-carriers with low baseline activity in the precuneus exhibited better longitudinal performance in an independent memory test compared to APOE4 non-carriers with high baseline activity and APOE4 carriers. Our findings suggest that higher task-related precuneus activity at baseline and over time are associated with subsequent A{beta} burden in cognitively normal APOE4 carriers. Our results further indicate that the absence of hyperactivation and the absence of the APOE4 allele is related with the best future cognitive outcome in cognitively normal older adults at risk for AD. Significance StatementThe precuneus is a brain region involved in episodic memory function and is an early site of amyloid-beta (A{beta}) accumulation. Alterations in task-related activity occur in the precuneus with ageing as well as with Alzheimers disease (AD) pathology even in the absence of cognitive symptoms; however, their course and implications are not well understood. We demonstrate that higher precuneus activity at baseline and its change over time during successful memory retrieval is associated with higher A{beta} burden on average 5 years after baseline in Apolipoprotein-E4 (APOE4) carriers. Lower precuneus baseline activation was related to better memory performance over time in APOE4 non-carriers. Our findings provide novel longitudinal evidence that increased activity in posterior midline regions is linked to early AD pathology in dependence of APOE4 genotype.

neuroscience↗

bioRxiv2023

Cognitive Reserve Against Alzheimer's Pathology Is Linked to Brain Activity During Memory Formation

The cognitive reserve (CR) hypothesis posits that individuals can differ in how their brain function is disrupted by pathology associated with aging and neurodegeneration. Here, we tested this hypothesis in the Alzheimers disease continuum using longitudinal data from 490 participants of the DELCODE multicentric observational study. Brain function was measured using task fMRI of visual memory encoding. Using a multivariate moderation analysis we identified a CR-related activity pattern underlying successful memory encoding that moderated the detrimental effect of AD pathological load on cognitive performance. CR was mainly represented by a more pronounced expression of the task-active network encompassing the default mode network (DMN), anterior cingulate cortex (ACC) and inferior temporal regions including the fusiform gyrus. We devised personalized fMRI-based CR scores that moderated the impact of AD pathology on cognitive performance and were positively associated with years of education. Furthermore, higher CR scores were associated with slower cognitive decline over time. Our findings suggest maintenance of core cognitive circuits including the DMN and ACC as the primary mechanism of CR. Individual brain activity levels of these areas during memory encoding have prognostic value for future cognitive decline.

neuroscience↗

bioRxiv2022

Individualized Gaussian Process-based Prediction of Memory Performance and Biomarker Status in Ageing and Alzheimer's disease

Neuroimaging markers based on Magnetic Resonance Imaging (MRI) combined with various other measures (such as informative covariates, vascular risks, brain activity, neuropsychological test etc.,) might provide useful predictions of clinical outcomes during progression towards Alzheimers disease (AD). The Bayesian approach aims to provide a trade-off by employing relevant features combinations to build decision support systems in clinical settings where uncertainties are relevant. We tested the approach in the MRI data across 959 subjects, aged 59-89 years and 453 subjects with available neuropsychological test scores and CSF biomarker status (amyloid-beta (A{beta})42/40 & and phosphorylated tau (pTau)) from a large sample multi-centric observational cohort (DELCODE). In order to explore the beneficial combinations of information from different sources, we presented a MRI-based predictive modelling of memory performance and CSF biomarker status (positive or negative) in the healthy ageing group as well as subjects at risk of Alzheimers disease using a Gaussian process multikernel framework. Furthermore, we systematically evaluated predictive combinations of input feature sets and their model variations, i.e. (A) combinations of brain tissue classes and feature type (modulated vs. unmodulated), choices of filter size of smoothing (ranging from 0 to 15 mm full width at half maximum), and image resolution (1mm, 2mm, 4mm and 8mm); (B) incorporating demography and covariates (C) the impact of the size of the training data set (i.e., number of subjects); (D) the influence of reducing the dimensions of data and (E) choice of kernel types. Finally, the approach was tested to reveal individual cognitive scores at follow-up (up to 4 years) using the baseline features. The highest accuracy for memory performance prediction was obtained for a combination of neuroimaging markers, demographics, genetic information (ApoE4) and CSF-biomarkers explaining 57% of outcome variance in out of sample predictions. The best accuracy for A{beta}42/40 status classification was achieved for combination demographics, ApoE4 and memory score while usage of structural MRI improved the classification of individual patients pTau status.

neuroscience↗

bioRxiv2019

Accessible and reproducible mass spectrometry imaging data analysis in Galaxy

BackgroundMass spectrometry imaging is increasingly used in biological and translational research as it has the ability to determine the spatial distribution of hundreds of analytes in a sample. Being at the interface of proteomics/metabolomics and imaging, the acquired data sets are large and complex and often analyzed with proprietary software or in-house scripts, which hinder reproducibility. Open source software solutions that enable reproducible data analysis often require programming skills and are therefore not accessible to many MSI researchers.\n\nFindingsWe have integrated 18 dedicated mass spectrometry imaging tools into the Galaxy framework to allow accessible, reproducible, and transparent data analysis. Our tools are based on Cardinal, MALDIquant, and scikit-image and enable all major MSI analysis steps such as quality control, visualization, preprocessing, statistical analysis, and image co-registration. Further, we created hands-on training material for use cases in proteomics and metabolomics. To demonstrate the utility of our tools, we re-analyzed a publicly available N-linked glycan imaging dataset. By providing the entire analysis history online, we highlight how the Galaxy framework fosters transparent and reproducible research.\n\nConclusionThe Galaxy framework has emerged as a powerful analysis platform for the analysis of MSI data with ease of use and access together with high levels of reproducibility and transparency.

bioinformatics↗