Contributions to a conference proceedings

Functional connectivity (FC) patterns from resting-state fMRI data provide relevant information for understanding brain function. In this research, we propose a representation of FC patterns in the form of a sparse graphical model that characterizes brain dynamics. [...]

The number of smartwatch users worldwide continuously increased within the last 5 years. Still, older adults and patients with dementia miss to profit from opportunities of wearable assistive technologies. [...]

The neural cell adhesion molecule NCAM is known to mediate cell–to–cell and cell–to–extracellular matrix (ECM) adhesion via homophilic and heterophilic interactions. During brain development, NCAM and the associated glycan, polysialic acid (polySia), play important roles in cell migration proliferation, neurite outgrowth and fasciculation, and synaptogenesis. [...]

Learning is an essential skill that humans and animals need to interact successfully with stimuli in their surrounding environment. Discovering the learning motifs applied by humans and animals is a highly complex task. [...]

Head motion is an omnipresent confounder of magnetic resonance image (MRI) analyses as it systematically affects morphometric measurements, even when visual quality control is performed. In order to estimate subtle head motion, that remains undetected by experts, we introduce a deep learning method to predict in-scanner head motion directly from T1-weighted (T1w), T2-weighted (T2w) and fluid-attenuated inversion recovery (FLAIR) images using motion estimates from an in-scanner depth camera as ground truth. [...]

In this study, we explore computationally the role of the dentate gyrus (DG) in the hippocampus, particularly its significant contribution to the neurogenic process in the adult brain and its role in learning and memory. We introduce a novel computational model, a feedforward multi-layer perceptron oscillatory neural network (MLP-ONN), that incorporates biologically accurate features of the hippocampal-entorhinal cortical network (i.e., DG, CA3, EC). [...]

The olfactory bulb is a multi-layered structure that dynamically tunes high-dimensional olfactory information from the olfactory epithelium and conveys spatiotemporal codes to higher-order areas of the brain. Available techniques lack adequate spatiotemporal resolution, challenging understanding of the dynamic mechanisms underlying information coding in the olfactory bulb (OB) circuitry. [...]

Wearable inertial measurement units (IMU) enable large-scale multicenter studies of everyday gait analysis in patients with rare neurodegenerative diseases such as cerebellar ataxia. To date, the quantity of sensors used in such studies has involved a trade-off between data quality and clinical feasibility. [...]

The process of learning and memory formation in the hippocampus is a complex phenomenon involving changes in synaptic efficiency that shape the connections between associated neurons. Long-term potentiation (LTP) is a widely used approach for studying activity-dependent synaptic plasticity in the hippocampus. [...]

Our proposed EPVS segmentation challenge focuses on detection of Enlarged Perivascular Spaces (EPVS) in brain MRIs. EPVS is a crucial neuroimage indicator of cerebral vascular disease, linked to conditions like small vessel disease and cognitive impairment risks. [...]