# Rhythmic network activity in human brain slices: variability, mechanisms, and translational insights

## TL;DR

This review explores rhythmic brain activity in human brain slices, focusing on how methods and intrinsic properties influence oscillations and their relevance to diseases like epilepsy.

## Contribution

The paper provides a comprehensive synthesis of how methodological factors interact with circuit properties to shape oscillatory dynamics in human brain slices.

## Key findings

- Methodological determinants strongly influence the occurrence and characteristics of oscillatory activity in human brain slices.
- Oscillation frequency, stability, and spatial organization are modulated by experimental manipulations and intrinsic circuit properties.
- Oscillatory patterns differ in disease contexts like epilepsy and tumor-associated cortex, offering translational insights.

## Abstract

In vitro maintained human brain slices provide a unique experimental platform for investigating rhythmic neuronal network activity, bridging the gap between animal models and clinical studies. A wide range of spontaneous and induced oscillatory activities has been described in human brain slices. However, their occurrence and characteristics are strongly shaped by methodological determinants spanning tissue origin, slice preparation, recording conditions, and induction strategies. This has been shown to have a profound impact on the reproducibility and interpretation of oscillatory dynamics. This review synthesizes current evidence on rhythmic network activity in acute human brain slices, with a particular emphasis on how methodological determinants interact with intrinsic circuit properties to generate oscillatory dynamics. We discuss how different experimental manipulations influence oscillation frequency, stability, and spatial organization. We further examine the cellular and circuit mechanisms underlying rhythmic activity, highlighting the roles of excitatory–inhibitory balance, synaptic dynamics, neuromodulatory influences, and distinct interneuron populations. Finally, we consider how oscillatory patterns differ across disease contexts, particularly epilepsy and tumor-associated cortex, and discuss the translational value and limitations of human brain slices for linking microcircuit mechanisms to pathological and functional brain states.