This paper introduces an automated method to quantify white matter hyperintensity confluence, showing it correlates with cognitive performance and dementia subtypes beyond volume.

bioRxiv · Jul 28, 2026 · PreprintNeuroscience

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

Yanin Suksangkharn, Björn Hendrik Schott, Peter Zeidman, Niklas Vockert, René Lattmann, Hartmut Schütze, Renat Yakupov, Oliver Peters, Julian Hellmann‐Regen, Lukas Preis, Ersin Ersözlü, Josef Priller, Eike Jakob Spruth, Janna Beckmann, Anja Schneider, , Gabriel Ziegler

The paper examines how disrupted forward connectivity in the parieto-temporal network relates to memory impairment and AD pathology using fMRI and DCM in a longitudinal study.

Alzheimer s Research & Therapy · Jul 14, 2026Peer-reviewedNeuroscience

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

René Lattmann, Niklas Vockert, Jose Bernal, Judith Wesenberg, Yanin Suksangkharn, Renat Yakupov, Hartmut Schütze, Wenzel Glanz, Enise Irem Incesoy, Michaela Butryn, Falk Lüsebrink, Matthias Schmid, Melina Stark, Luca Kleineidam, Annika E. Spottke, , Emrah Düzel

This study examines how episodic memory network dysfunction relates to AD biomarkers, neurodegeneration, and cognition using longitudinal fMRI data from the DZNE study.

Nature Communications · Apr 17, 2026Peer-reviewedNeuroscience

Fully Automated MRI-based Analysis of the Locus Coeruleus in Aging and Alzheimer's Disease Dementia using ELSI-Net

Max Dünnwald, Friedrich Krohn, Alessandro Sciarra, Mousumi Sarkar, Anja Schneider, Klaus Fließbach, Okka Kimmich, Frank Jessen, Ayda Rostamzadeh, Wenzel Glanz, Enise Irem Incesoy, Stefan Johannes Teipel, Ingo Kilimann, Doreen Göerß, Annika E. Spottke, , Matthew J. Betts

This paper introduces ELSI-Net, a deep learning method for automated Locus Coeruleus segmentation and feature extraction in aging and Alzheimer's Disease dementia, showing high agreement with manual ratings and correlations to CSF biomarkers.

Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · Apr 1, 2025Peer-reviewedBioinformatics

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

Niklas Vockert, Judith Machts, Luca Kleineidam, Aditya Nemali, Enise Irem Incesoy, José Bernal, Hartmut Schütze, Renat Yakupov, Oliver Peters, Daria Gref, Luisa‐Sophie Schneider, Lukas Preis, Josef Priller, Eike Jakob Spruth, Slawek Altenstein, , the DELCODE study group

The paper links cognitive reserve to brain activity during memory formation, showing it moderates the impact of Alzheimer's pathology on cognitive performance and predicts slower decline.

Nature Communications · Nov 13, 2024Peer-reviewedNeuroscience

SMAS: Structural MRI-Based AD Score using Bayesian VAE

Aditya Nemali, José Bernal, Renat Yakupov, D. Singh, Martin Dyrba, Enise Irem Incesoy, S. Mukherjee, Oliver Peters, Julian Hellmann‐Regen, Ersin Ersözlü, Lukas Preis, Josef Priller, Eike Jakob Spruth, Slawek Altenstein, Andrea Lohse, , Gabriel Ziegler

This paper introduces SMAS, a Bayesian VAE-based AD score from structural MRI data, showing strong correlations with cognitive decline and brain atrophy markers, and outperforming existing measures in predicting AD.

bioRxiv · Nov 7, 2024 · PreprintNeuroscience

Fornix fractional anisotropy mediates the association between Mediterranean diet adherence and memory four years later in older adults without dementia

Adriana L. Ruiz‐Rizzo, Kathrin Finke, Jessica S. Damoiseaux, Claudia Bartels, Katharina Büerger, Nicoleta Carmen Cosma, Peter Dechent, Laura Dobisch, Michael Ewers, Klaus Fließbach, Ingo Frommann, Wenzel Glanz, Doreen Göerß, Stefan Hetzer, Enise Irem Incesoy, , the DELCODE study group

The paper examines if fractional anisotropy of the fornix mediates the link between Mediterranean diet adherence and verbal memory decline in older adults over four years.

Neurobiology of Aging · Feb 2, 2024Peer-reviewedNeuroscience

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

Aditya Nemali, Niklas Vockert, David Berron, Anne Maaß, Renat Yakupov, Oliver Peters, Daria Gref, Nicoleta Carmen Cosma, Lukas Preis, Josef Priller, Eike Jakob Spruth, Slawek Altenstein, Andrea Lohse, Klaus Fließbach, Okka Kimmich, , Gabriel Ziegler

The paper uses Gaussian process multikernel modeling to predict memory performance and CSF biomarkers in ageing and Alzheimer's disease using MRI and other data.

bioRxiv · Mar 14, 2022 · PreprintNeuroscience