Nicolai Winter‐Hjelm

A Microfluidic Platform for Spatiotemporal Dissection of Neurodegeneration Across Hierarchical Human Neural Circuits

This paper introduces a microfluidic platform to study neurodegeneration in human neural circuits, identifying early electrophysiological biomarkers of disease progression.

Microscale dysfunction and mesoscale compensation in degenerating neuronal networks

This study investigates microscale and mesoscale changes in ALS motor neuron networks using in vitro models, showing increased network centralisation and rich-club connectivity as compensatory mechanisms.

Nanoporous Platinum Microelectrode Arrays for Neuroscience Applications

This study evaluates nanoporous platinum microelectrode morphologies for neural cell cultures, finding that uniform nanoporous electrodes balance biocompatibility and electrophysiological performance.

Evolving alterations of structural organization and functional connectivity in feedforward neural networks after induced P301L tau mutation

This study examines how induced P301L tau mutation alters structural and functional connectivity in engineered neural networks over time.

Functional Complexity of Engineered Neural Networks Self-Organized on Novel 3D Interfaces

This study develops a 3D biocompatible interface for neural networks, showing that 3D growth supports complex network structures but planar networks exhibit stronger functional interconnections and higher activity.

ALS patient-derived motor neuron networks exhibit microscale dysfunction and mesoscale compensation rendering them highly vulnerable to perturbation

The paper shows ALS patient-derived motor neuron networks develop cytopathology and form efficient networks with functional impairments and heightened vulnerability to perturbation.

Engineered Cortical Microcircuits for Investigations of Neuroplasticity

This paper presents a microfluidic platform for creating modular cortical neural networks to study neuroplasticity and network dynamics under perturbations.

Structure-Function Dynamics of Engineered, Modular Neuronal Networks with Controllable Afferent-Efferent Connectivity

This study uses microfluidic devices to control afferent-efferent connectivity in engineered neuronal networks, showing increased modularity and functional efficiency.

Reverse Engineering of Feedforward Cortical-Hippocampal Microcircuits for Modelling Neural Network Function and Dysfunction

This study reverse engineers feedforward cortical-hippocampal neural networks using microfluidic devices to model brain network dynamics and pathology impact.