Daniel Delev

This paper benchmarks three graph construction methods for MEA recordings of human brain slices, showing method choice significantly affects network topology with effect sizes comparable to biological signals.

This study links neuronal cell loss and gliosis in hippocampal sclerosis to tissue stiffness using mechanical testing and deep learning analysis of histopathology.

This study compares intrinsic and synaptic properties of human cortical neurons recorded on-site and off-site after a 30-40 minute transport, finding altered membrane potential, synaptic efficacy, and dendritic spine density.

This study uses spatial transcriptomics to identify transcriptional programs in gangliogliomas that link ECM remodeling, immune infiltration, and persistent neuronal precursor-like states to tumor biology.

This study investigates how genetic dysfunction in the nicotinic receptor alpha5 subunit affects neuronal and synaptic properties in rat and human cortical layer 6 neurons.

This study analyzes human dendritic spine morphology and density using a unique dataset and deep learning, revealing sex and tissue-specific differences and changes over time in culture.

This paper provides a detailed protocol for long-term human organotypic brain slice cultures, enabling extended electrophysiological studies and viral transduction.

The paper identifies an epigenetic neural signature in glioblastoma that correlates with poor prognosis and therapeutic vulnerability.

This study identifies and characterizes giant depolarizing potentials (GDPs) in human neocortical neurons, showing their modulation by norepinephrine and acetylcholine.

SPATA bundles spatial transcriptomics analysis: spatially resolved expression, how transcriptional programs shift by region, and expression changes along spatial trajectories.