2023
DOI: 10.21203/rs.3.rs-3212709/v1
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Invasive neurophysiology and whole brain connectomics for neural decoding in patients with brain implants

Timon Merk,
Richard Köhler,
Victoria Peterson
et al.

Abstract: Brain computer interfaces (BCI) provide unprecedented spatiotemporal precision that will enable significant expansion in how numerous brain disorders are treated. Decoding dynamic patient states from brain signals with machine learning is required to leverage this precision, but a standardized framework for identifying and advancing novel clinical BCI approaches does not exist. Here, we developed a platform that integrates brain signal decoding with connectomics and demonstrate its utility across 123 hours of … Show more

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Cited by 4 publications
(3 citation statements)
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“…We processed data in a real-time compatible fashion using the open-source toolbox py_neuromodulation. 19 In 100 ms steps, data batches of the previous 500 ms were processed. ECoG and STN-LFP signals were referenced in a bipolar setup and notch-filtered to remove line noise (50, 100 and 150 Hz).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…We processed data in a real-time compatible fashion using the open-source toolbox py_neuromodulation. 19 In 100 ms steps, data batches of the previous 500 ms were processed. ECoG and STN-LFP signals were referenced in a bipolar setup and notch-filtered to remove line noise (50, 100 and 150 Hz).…”
Section: Methodsmentioning
confidence: 99%
“…We processed data in a real-time compatible fashion using the open-source toolbox py_neuromodulation 54 . In 100 ms steps, data batches of the previous 500 ms were processed.…”
Section: Classification Of Motor Intentionmentioning
confidence: 99%
“…from invasive brain signals (Köhler et al, 2023) could close the loop and act as a dopamine and basal ganglia neuroprosthetic (see Figure 4b). Here, machine learning methods, such as contrastive learning (Schneider et al, 2023), could be used to decode movement intention or presence from cortical activity and trigger stimulation (Merk et al, 2022(Merk et al, , 2023.…”
Section: Neural Reinforcement As a Target For Adaptive Deep Brain Sti...mentioning
confidence: 99%