Semi-automated Anatomical Labeling and Inter-subject Warping of High-Density Intracranial Recording Electrodes in Electrocorticography

Hamilton, Liberty S.; Chang, David L.; Lee, Morgan B.; Chang, Edward F.

doi:10.3389/fninf.2017.00062

Cited by 103 publications

(98 citation statements)

References 20 publications

(30 reference statements)

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“…The 3-dimensional coordinates were obtained using stored points from the neuronavigation, and photographs detailing their relationship to surface anatomy were used to ensure accuracy. The algorithm for warping the 3-dimensional coordinates of all the stimulation sites from the individual patients' brains into a common coordinate space for composite visualization on the MNI template brain is detailed in Hamiton et al 30…”

Section: Analysis Of Mapping Resultsmentioning

confidence: 99%

Inhibition of Manual Movements at Speech Arrest Sites in the Posterior Inferior Frontal Lobe

Southwell

Chang

2018

Neurosurg.

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BACKGROUND Intraoperative stimulation of the posterior inferior frontal lobe (IFL) induces speech arrest, which is often interpreted as demonstration of essential language function. However, prior reports have described “negative motor areas” in the IFL, sites where stimulation halts ongoing limb motor activity. OBJECTIVE To investigate the spatial and functional relationship between IFL speech arrest areas and negative motor areas (NMAs). METHODS In this retrospective cohort study, intraoperative stimulation mapping was performed to localize speech and motor function, as well as arrest of hand movement, hand posture, and guitar playing in a set of patients undergoing awake craniotomy for dominant hemisphere pathologies. The incidence and localization of speech arrest and motor inhibition was analyzed. RESULTS Eleven patients underwent intraoperative localization of speech arrest sites and inhibitory motor areas. A total of 17 speech arrest sites were identified in the dominant frontal lobe, and, of these, 5 sites (29.4%) were also identified as NMAs. Speech arrest and arrest of guitar playing was also evoked by a single IFL site in 1 subject. CONCLUSION Inferior frontal gyrus speech arrest sites do not function solely in speech production. These findings provide further evidence for the complexity of language organization, and suggest the need for refined mapping strategies that discern between language-specific sites and inhibitory motor areas.

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Section: Analysis Of Mapping Resultsmentioning

confidence: 99%

Inhibition of Manual Movements at Speech Arrest Sites in the Posterior Inferior Frontal Lobe

Southwell

Chang

2018

Neurosurg.

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“…1). 7 Stimulation was given at a pulse width of 250 μsec, pulse duration of 1 second, with square-wave pulses, and at the smallest amplitude that evoked consistent somatosensation during the 25+ stimulations while not resulting in a motor response. The amplitude was 1.5 mA for S08, 2 mA for S10, and 2 mA for S14.…”

Section: Resultsmentioning

confidence: 99%

Utility and lower limits of frequency detection in surface electrode stimulation for somatosensory brain-computer interface in humans

Kramer¹,

Lamorie‐Foote

Barbaro

et al. 2020

Neurosurgical Focus

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OBJECTIVEStimulation of the primary somatosensory cortex (S1) has been successful in evoking artificial somatosensation in both humans and animals, but much is unknown about the optimal stimulation parameters needed to generate robust percepts of somatosensation. In this study, the authors investigated frequency as an adjustable stimulation parameter for artificial somatosensation in a closed-loop brain-computer interface (BCI) system.METHODSThree epilepsy patients with subdural mini-electrocorticography grids over the hand area of S1 were asked to compare the percepts elicited with different stimulation frequencies. Amplitude, pulse width, and duration were held constant across all trials. In each trial, subjects experienced 2 stimuli and reported which they thought was given at a higher stimulation frequency. Two paradigms were used: first, 50 versus 100 Hz to establish the utility of comparing frequencies, and then 2, 5, 10, 20, 50, or 100 Hz were pseudorandomly compared.RESULTSAs the magnitude of the stimulation frequency was increased, subjects described percepts that were “more intense” or “faster.” Cumulatively, the participants achieved 98.0% accuracy when comparing stimulation at 50 and 100 Hz. In the second paradigm, the corresponding overall accuracy was 73.3%. If both tested frequencies were less than or equal to 10 Hz, accuracy was 41.7% and increased to 79.4% when one frequency was greater than 10 Hz (p = 0.01). When both stimulation frequencies were 20 Hz or less, accuracy was 40.7% compared with 91.7% when one frequency was greater than 20 Hz (p < 0.001). Accuracy was 85% in trials in which 50 Hz was the higher stimulation frequency. Therefore, the lower limit of detection occurred at 20 Hz, and accuracy decreased significantly when lower frequencies were tested. In trials testing 10 Hz versus 20 Hz, accuracy was 16.7% compared with 85.7% in trials testing 20 Hz versus 50 Hz (p < 0.05). Accuracy was greater than chance at frequency differences greater than or equal to 30 Hz.CONCLUSIONSFrequencies greater than 20 Hz may be used as an adjustable parameter to elicit distinguishable percepts. These findings may be useful in informing the settings and the degrees of freedom achievable in future BCI systems.

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“…For example, there are a number of processing pipelines for localizing iEEG electrodes (RAVE also includes rudimentary tools for this purpose). More sophisticated solutions, such as iELVis (Groppe et al, 2017) and img_pipe (Hamilton et al, 2017) generate .csv files with one row per electrode. RAVE directly reads these files and uses them to locate electrodes.…”

Section: Play Well With Othersmentioning

confidence: 99%

“…Therefore, RAVE is designed to integrate seamlessly with existing workflows, such as iELVis (Groppe et al, 2017) and img_pipe (Hamilton et al, 2017) for electrode localization. Along with an extensive GUI, RAVE provides a robust application programming interface (API) to support integration of RAVE with existing or novel analysis pipelines.…”

Section: Introductionmentioning

confidence: 99%

RAVE: comprehensive open-source software for reproducible analysis and visualization of intracranial EEG data

Magnotti

Wang

Beauchamp

2020

Preprint

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Direct recording of neural activity from the human brain using implanted electrodes (iEEG, intracranial electroencephalography) is a fast-growing technique in human neuroscience. While the ability to record from the human brain with high spatial and temporal resolution has advanced our understanding, it generates staggering amounts of data: a single patient can be implanted with hundreds of electrodes, each sampled thousands of times a second for hours or days. The difficulty of exploring these vast datasets is the rate-limiting step in discovery. To overcome this obstacle, we created RAVE ("R Analysis and Visualization of iEEG"). All components of RAVE, including the underlying "R" language, are free and open source. User interactions occur through a web browser, making it transparent to the user whether the back-end data storage and computation is occurring on a local machine, a lab server, or in the cloud.Without writing a single line of computer code, users can create custom analyses, apply them to data from hundreds of iEEG electrodes, and instantly visualize the results on cortical surface models. Multiple types of plots are used to display analysis results, each of which can be downloaded as publication-ready graphics with a single click. RAVE consists of nearly 50,000 lines of code designed to prioritize an interactive user experience, reliability and reproducibility.

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Semi-automated Anatomical Labeling and Inter-subject Warping of High-Density Intracranial Recording Electrodes in Electrocorticography

Cited by 103 publications

References 20 publications

Inhibition of Manual Movements at Speech Arrest Sites in the Posterior Inferior Frontal Lobe

Inhibition of Manual Movements at Speech Arrest Sites in the Posterior Inferior Frontal Lobe

Utility and lower limits of frequency detection in surface electrode stimulation for somatosensory brain-computer interface in humans

RAVE: comprehensive open-source software for reproducible analysis and visualization of intracranial EEG data

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