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Stability and Effect of Parkinsonian State on Deep Brain Stimulation Cortical Evoked Potentials. | LitMetric

AI Article Synopsis

  • The study aims to analyze how deep brain stimulation (DBS) affects cortical potentials in different states: naïve, parkinsonian, and treated parkinsonian conditions, to find potential biomarkers for DBS programming.
  • Researchers conducted long-term electrocorticographic recordings on a non-human primate, using a STN-targeted DBS setup and a neurotoxin to model varying levels of parkinsonism.
  • Findings revealed that while the response to DBS was stable in parkinsonian states, there were notable differences in response timing and strength based on the severity of parkinsonism and dopamine treatment, highlighting important patterns in the cortical response to DBS.

Article Abstract

Objectives: To characterize and compare the stability of cortical potentials evoked by deep brain stimulation (DBS) of the subthalamic nucleus (STN) across the naïve, parkinsonian, and pharmacologically treated parkinsonian states. To advance cortical potentials as possible biomarkers for DBS programming.

Materials And Methods: Serial electrocorticographic (ECoG) recordings were made more than nine months from a single non-human primate instrumented with bilateral ECoG grids spanning anterior parietal to prefrontal cortex. Cortical evoked potentials (CEPs) were generated through time-lock averaging of the ECoG recordings to DBS pulses delivered unilaterally in the STN region using a chronically implanted, six-contact, scaled DBS lead. Recordings were made across the naïve followed by mild and moderate parkinsonian conditions achieved by staged injections of the 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) neurotoxin. In addition to characterizing the spatial distribution and stability of the response within each state, changes in the amplitude and latency of CEP components as well as in the frequency content were examined in relation to parkinsonian severity and dopamine replacement.

Results: In the naïve state, the STN DBS CEP presented as a multiphase response maximal over M1 cortex, with components attributable to physiological activity distinguishable from stimulus artifact as early as 0.45-0.75 msec poststimulation. When delivered using therapeutically effective parameters in the parkinsonian state, the CEP was highly stable across multiple recording sessions within each behavioral state. Across states, significant differences were present with respect to both the latency and amplitude of individual response components, with greater differences present for longer-latency components (all p < 0.05). Power spectral density analysis revealed a high-beta peak within the evoked response, with significant changes in power between disease states across multiple frequency bands.

Conclusions: Our findings underscore the spatiotemporal specificity and relative stability of the DBS-CEP associated with different disease states and with therapeutic benefit. DBS-CEP may be a viable biomarker for therapeutic programming.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246651PMC
http://dx.doi.org/10.1111/ner.13508DOI Listing

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