Data-Constrained Biophysical Modeling Of Human VIM To Assess Contributions Of Intrinsic Oscillatory Activity To Essential Tremor

Abstract

Essential tremor (ET) is the most common movement disorder, in which the primary symptom is a prominent, involuntary 4-10 Hz rhythmic movement. The presence of tremor frequency oscillations (TFOs) in the ventral intermediate nucleus of the thalamus (VIM) is well-established, but it is often assumed that it is driven by cerebellar tremor frequency activity, while the role of intrinsic oscillatory activity in VIM is not clear. An improved understanding of the mechanisms of tremor and non-tremor frequency activity in VIM is critical to the development of improved pharmacological and neuromodulatory therapies. Starting from a canonical model of thalamus, we developed a biophysically-principled computational model of tremor field activity in the VIM, coupled with the thalamic reticular nucleus (TRN). We simulated TFOs in the model generated either by extrinsic tremor-periodic drive or intrinsic VIM-TRN interaction to understand whether these networks exhibited distinct biophysical properties, which may impact the efficacy of pharmacological or stimulation treatment for TFOs. Extrinsic and intrinsic TFOs in the model depended on T-type Ca2+ channels in different ways. Each also depended on GABA modulation in a site- and type-specific manner. These results suggested that efficacy of pharmacological manipulations may depend upon the mechanisms generating TFOs in VIM. Simulated non-tremor-related motor activity from cerebellum decreased extrinsic but increased intrinsic TFOs. Our results suggest that both mechanisms may be important to understand the emergence and cessation of TFOs in VIM and lead to experimentally testable predictions on how to modulate tremor frequency activity to improve treatment strategies for ET.\n\nSignificance StatementEssential Tremor (ET) is a movement disorder in which the primary symptom is a prominent, involuntary, and rhythmic shaking, often of the hands. Electrical activity in many areas of the brain exhibit rhythmicity related to the patients tremor. One such area resides in a structure called the thalamus, but it is not fully known what gives rise to tremor-related activity. We created a computational model of this activity, which suggested how to differentiate tremor mechanisms and how these differences may contribute to other impairments in ET. Knowledge of the biophysical mechanisms contributing to tremor can ultimately lead to improvements in treatments to alleviate symptoms of ET.