Abstracts

Cellular and Circuit Mechanism of Epilepsy in acute slices from resected Human Brain Tissue

Abstract number : 1.402
Submission category : 1. Basic Mechanisms / 1C. Electrophysiology/High frequency oscillations
Year : 2021
Submission ID : 1886405
Source : www.aesnet.org
Presentation date : 12/4/2021 12:00:00 PM
Published date : Nov 22, 2021, 06:56 AM

Authors :
Tanvi Butola, PhD - NYU School of Medicine; Vincent Robert, PhD - NYU School of Medicine; Lulu Peng, na - NYU School of Medicine; Cheng Gong, MSc - Columbia University; Werner Doyle, M.D. - NYU School of Medicine; Miranda Duster, BSc - NYU School of Medicine; Sasha Devore, PhD - NYU School of Medicine; Stephanie Livingston, M.D. - NYU School of Medicine; Marissa Spino, M.D. - NYU School of Medicine; Raju Tomer, PhD - Columbia University; Orrin Devinsky, M.D. - NYU School of Medicine; Jayeeta Basu, PhD - NYU School of Medicine

Rationale: Nearly one-third of epilepsy patients suffer ongoing seizures despite multiple medication trials. Most studies describe patterns of increased activity and neuronal degeneration at seizure sites, but lack a description of the underlying circuit mechanism. In humans, the hippocampus (HC) and the entorhinal cortex (EC) are central to the pathophysiology of temporal lobe epilepsy, the most common drug-resistant epilepsy. However, most of what we know about HC and EC is from rodent studies. Our study fills this gap by characterizing the structure and function of human cortico-hippocampal circuit. We test whether the increased excitability in this circuit results from an increase in intrinsic excitability of neurons or from changes in circuit components and connections.

Methods: We use freshly resected human brain tissue from patients undergoing surgery for refractory epilepsy. We use whole-cell patch-clamp electrophysiology to measure intrinsic electrical properties, synaptic connectivity, and plasticity of various cortico-hippocampal neurons. Further, as shifts in the excitation-inhibition balance are considered key to the underlying pathophysiology of seizure generation, using electrophysiology and histology we characterize excitatory vs inhibitory neuron populations in the epileptogenic human brain, compared to non-epileptic human tissue and control mice. To obtain high resolution morphology and cell-type characterization of human neurons we use fluorescence immunohistochemistry combined with confocal and light sheet microscopy. We also corroborate our single neuron and circuit level physiology with patient-specific pathology of seizures vis a vis developmental timeline, focal area, spread and severity.

Results: Compared to mouse, human hippocampal pyramidal neurons derived from epileptic patients show differences in their intrinsic electrical properties indicating higher individual neuron excitability such as: higher membrane resistance and a lower rheobase. However, the action potential firing threshold is slightly higher in human neurons. Additionally, thiaflavin staining of resected human hippocampal tissue show massive amyloid plaques and protein aggregates indicating neuronal degradation. We also observe that while neurons in superficial layers of EC demonstrate a high frequency of spontaneous sub-threshold events, deeper layers do not show much baseline activity. Our preliminary data indicate an increase in the excitability and degradation of individual pyramidal neurons in HC, and disparity in the activity of different layers in EC.

Conclusions: Acute slice electrophysiology from resected human tissue not only allows us to examine synaptic and circuit pathophysiology at various stages of epilepsy in humans and correlate it with clinical symptoms but also draw cross species comparisons in relatively intact circuits. Our study depicts the fundamental principles of synaptic transmission, input-output transformation and short-term plasticity dynamics in cortico-hippocampal circuit in the human brain and how these key processes may predispose a brain area to be more excitable and prone to seizures.

Funding: Please list any funding that was received in support of this abstract.: FY2022 FACES.

Basic Mechanisms