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The modulatory effect of adaptive deep brain stimulation on beta bursts in Parkinson ’ s disease

View Article: PubMed Central - PubMed

ABSTRACT

Pilot studies suggest that adaptive deep brain stimulation (DBS) may be more effective than conventional DBS for the treatment of Parkinson's disease. Tinkhauser et al. show that adaptive DBS regulates pathological beta synchronisation in the subthalamic nucleus by selectively limiting long duration beta bursts, which are related to clinical impairment.

No MeSH data available.


Related in: MedlinePlus

Steps of burst determination. (A) The analogue LFP signal was filtered around individual beta peak frequency (Table 1). The signal was rectified and smoothed to obtain the envelope of the beta activity. For each condition a threshold was then set at the 75th percentile of the beta amplitude. The onset of a burst was defined as when the rectified signal crossed the threshold amplitude and the end of the burst defined as when the amplitude fell below threshold. (B) All bursts with a duration longer than 100 ms were considered. Bursts were further categorized according to their duration into nine time windows (see ‘Materials and methods’ section). Example of burst scatterplot with burst shown up to 1000 ms (Subject 3, left side).
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awx010-F1: Steps of burst determination. (A) The analogue LFP signal was filtered around individual beta peak frequency (Table 1). The signal was rectified and smoothed to obtain the envelope of the beta activity. For each condition a threshold was then set at the 75th percentile of the beta amplitude. The onset of a burst was defined as when the rectified signal crossed the threshold amplitude and the end of the burst defined as when the amplitude fell below threshold. (B) All bursts with a duration longer than 100 ms were considered. Bursts were further categorized according to their duration into nine time windows (see ‘Materials and methods’ section). Example of burst scatterplot with burst shown up to 1000 ms (Subject 3, left side).

Mentions: Figure 1A illustrates the processing steps involved in the discrimination of bursts of beta activity. The digitally filtered and the rectified bipolar LFP signal that was generated online as a substrate for thresholding was also recorded for off-line analysis. Such data were first visually inspected and 200 s of artefact-free rectified signal in each condition was selected using Spike2 software (Cambridge Electronic Design).Figure 1


The modulatory effect of adaptive deep brain stimulation on beta bursts in Parkinson ’ s disease
Steps of burst determination. (A) The analogue LFP signal was filtered around individual beta peak frequency (Table 1). The signal was rectified and smoothed to obtain the envelope of the beta activity. For each condition a threshold was then set at the 75th percentile of the beta amplitude. The onset of a burst was defined as when the rectified signal crossed the threshold amplitude and the end of the burst defined as when the amplitude fell below threshold. (B) All bursts with a duration longer than 100 ms were considered. Bursts were further categorized according to their duration into nine time windows (see ‘Materials and methods’ section). Example of burst scatterplot with burst shown up to 1000 ms (Subject 3, left side).
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Related In: Results  -  Collection

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Show All Figures
getmorefigures.php?uid=PMC5382944&req=5

awx010-F1: Steps of burst determination. (A) The analogue LFP signal was filtered around individual beta peak frequency (Table 1). The signal was rectified and smoothed to obtain the envelope of the beta activity. For each condition a threshold was then set at the 75th percentile of the beta amplitude. The onset of a burst was defined as when the rectified signal crossed the threshold amplitude and the end of the burst defined as when the amplitude fell below threshold. (B) All bursts with a duration longer than 100 ms were considered. Bursts were further categorized according to their duration into nine time windows (see ‘Materials and methods’ section). Example of burst scatterplot with burst shown up to 1000 ms (Subject 3, left side).
Mentions: Figure 1A illustrates the processing steps involved in the discrimination of bursts of beta activity. The digitally filtered and the rectified bipolar LFP signal that was generated online as a substrate for thresholding was also recorded for off-line analysis. Such data were first visually inspected and 200 s of artefact-free rectified signal in each condition was selected using Spike2 software (Cambridge Electronic Design).Figure 1

View Article: PubMed Central - PubMed

ABSTRACT

Pilot studies suggest that adaptive deep brain stimulation (DBS) may be more effective than conventional DBS for the treatment of Parkinson's disease. Tinkhauser et al. show that adaptive DBS regulates pathological beta synchronisation in the subthalamic nucleus by selectively limiting long duration beta bursts, which are related to clinical impairment.

No MeSH data available.


Related in: MedlinePlus