Distributed Subnetworks of Depression Defined by Direct Intracranial Neurophysiology

Khambhati, Ankit N.; Daly, Patrick M.; Owen, Lucy L. W.; Manning, Jeremy R.; Ambrose, Josiah B.; Austin, Everett J.; Krystal, Andrew D.; Chang, Edward F.

doi:10.1101/2020.02.14.943118

Cited by 6 publications

(2 citation statements)

References 126 publications

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“…Whereas the focus of this manuscript is to specifically evaluate which aspects of neural activity patterns SuperEEG recovers well (or poorly), in parallel work, we are training across-patient classifiers by leveraging the common neural spaces obtained by applying SuperEEG to multipatient ECoG data. For example, we have shown that SuperEEG-derived activity patterns may be used to accurately predict psychiatric conditions such as depression ( Scangos et al. 2020 ).…”

Section: Discussionmentioning

confidence: 99%

A Gaussian Process Model of Human Electrocorticographic Data

et al. 2020

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We present a model-based method for inferring full-brain neural activity at millimeter-scale spatial resolutions and millisecond-scale temporal resolutions using standard human intracranial recordings. Our approach makes the simplifying assumptions that different people’s brains exhibit similar correlational structure, and that activity and correlation patterns vary smoothly over space. One can then ask, for an arbitrary individual’s brain: given recordings from a limited set of locations in that individual’s brain, along with the observed spatial correlations learned from other people’s recordings, how much can be inferred about ongoing activity at other locations throughout that individual’s brain? We show that our approach generalizes across people and tasks, thereby providing a person- and task-general means of inferring high spatiotemporal resolution full-brain neural dynamics from standard low-density intracranial recordings.

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Section: Discussionmentioning

confidence: 99%

A Gaussian Process Model of Human Electrocorticographic Data

et al. 2020

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“…Interestingly, at greater than 12 mm RoIs, depth electrodes provided more gray matter coverage than strip + grid and strip + grid + depth hybrid cases. For all values of the RoIs we tested, white matter coverage was much greater in cases that exclusively used depth electrodes, which will be important when considering applications requiring stimulation of white matter tracts to modulate networks [23,24].…”

Section: Resultsmentioning

confidence: 99%

Probabilistic comparison of gray and white matter coverage between depth and surface intracranial electrodes in epilepsy: a patient-specific modeling and empirical study

Anderson

Charlebois

Smith

et al. 2021

Preprint

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Objective. The objective of this study is to quantify the coverage of gray and white matter during intracranial electroencephalography in a cohort of epilepsy patients with surface and depth electrodes. Methods. We included 65 patients with strip electrodes (n=12), strip and grid electrodes (n=24), strip, grid, and depth electrodes (n=7), or depth electrodes only (n=22) from the University of Utah spanning 2010-2020. Patient-specific imaging was used to generate probabilistic gray and white matter maps and atlas segmentations. The gray and white matter coverage was quantified based on spherical volumes centered on electrode centroids, with radii ranging from 1-15 mm, along with detailed finite element models of local electric fields Results. Gray matter coverage was highly dependent on the chosen radius of influence (RoI). Using a 2.5 mm RoI, depth electrodes covered more gray matter than surface electrodes; however, surface electrodes covered more gray matter at RoI larger than 4 mm. White matter coverage was greatest for depth electrodes at all RoIs, which is noteworthy for studies involving stimulation mapping. Depth electrodes were able to record significantly more gray matter from the amygdala and hippocampus than subdural electrodes. Significance. This study provides the first probabilistic analysis to quantify gray and white matter coverage for multiple categories of intracranial recording configurations. Depth electrodes may offer increased per contact coverage of gray matter over other recording strategies if the desired signals are local to the contact, while subdural grids and strips can sample more gray matter if the desired signals are more diffuse.

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How Can I Identify Stimulus-Driven Neural Activity Patterns in Multi-Patient ECoG Data?

Manning

2023

Studies in Neuroscience, Psychology and Behavioral Economics

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Distributed Subnetworks of Depression Defined by Direct Intracranial Neurophysiology

Cited by 6 publications

References 126 publications

A Gaussian Process Model of Human Electrocorticographic Data

A Gaussian Process Model of Human Electrocorticographic Data

Probabilistic comparison of gray and white matter coverage between depth and surface intracranial electrodes in epilepsy: a patient-specific modeling and empirical study

How Can I Identify Stimulus-Driven Neural Activity Patterns in Multi-Patient ECoG Data?

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