Network structure mediates functional reorganization induced by optogenetic stimulation of non-human primate sensorimotor cortex

Bloch, Julien; Greaves-Tunnell, Alexander; Shea‐Brown, Eric; Harchaoui, Zaïd; Shojaie, Ali; Yazdan-Shahmorad, Azadeh

doi:10.1016/j.isci.2022.104285

Cited by 9 publications

(10 citation statements)

References 56 publications

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“…Technological advances in flexible and transparent materials make μ-ECoG arrays appealing candidates to be combined with complementary optical techniques, therefore providing unprecedented methods to study large brain circuits. 18 , 19 , 20 The second section of the review focuses on these large-scale multimodal interfaces combining optical methods and μ-ECoG technologies. In particular, challenges of conducting chronically stable optogenetics experiments in large animal models will be discussed, as well as the combination of this powerful stimulation technique with other optical imaging techniques.…”

Section: Introductionmentioning

confidence: 99%

Large-scale multimodal surface neural interfaces for primates

Belloir¹,

Vargo²,

Ahmed³

et al. 2023

iScience

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Section: Introductionmentioning

confidence: 99%

Large-scale multimodal surface neural interfaces for primates

Belloir¹,

Vargo²,

Ahmed³

et al. 2023

iScience

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“…To do so we use three sessions from an optogenetic stimulation experiment performed in macaques, where two lasers repeatedly stimulated different locations of the primary motor (M1) and somatosensory (S1) cortex expressing the opsin C1V1, and fit a 5 th order GDAR model to the LFPs recorded by a 96-channel μ ECoG array during stimulation (see Fig. 3a-c and Methods) 11,40,41 . GDAR flow signals averaged over all stimulation trials in the milliseconds before and after stimulation for Session 1 are shown in Fig.…”

Section: Resultsmentioning

confidence: 99%

“…In this study, we used a subset of neural data recorded by a large-scale optogenetic neural interface 11 that has previously been utilized to study changes in network functional connectivity due to cortical stimulation 40,41 . The interface was composed of several key components: a semi-transparent micro-electrode array, a semi-transparent artificial dura, a titanium implant, and a laser system for delivering optical stimulation.…”

Section: Methodsmentioning

confidence: 99%

Inferring Neural Communication Dynamics from Field Potentials Using Graph Diffusion Autoregression

Schwock,

Bloch,

Khateeb

et al. 2024

Preprint

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Estimating dynamic network communication is attracting increased attention, spurred by rapid advancements in multi-site neural recording technologies and efforts to better understand cognitive processes. Yet, traditional methods, which infer communication from statistical dependencies among distributed neural recordings, face core limitations: they do not model neural interactions in a biologically plausible way, neglect spatial information from the recording setup, and yield predominantly static estimates that cannot capture rapid changes in the brain. To address these issues, we introduce a graph diffusion autoregressive model. Designed for distributed field potential recordings, our model combines vector autoregression with a network communication process to produce a high-resolution communication signal. We successfully validated the model on simulated neural activity and recordings from subdural and intracortical micro-electrode arrays placed in macaque sensorimotor cortex demonstrating its ability to describe rapid communication dynamics induced by optogenetic stimulation, changes in resting state communication, and the trial-by-trial variability during a reach task.

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“…Taken together, the methods presented here serve as an accessible and inexpensive protocol to plan the optimized spread of infusions bench-side and validate the spread and accuracy in vivo, significantly reducing the number of unknowns that hinder confidence during circuit-manipulation experiments. Our presented methods contribute to a body of work supporting large-scale optogenetics in NHPs [ 8 , 9 , 16 , 17 , 18 , 19 , 22 , 23 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 ].…”

Section: Discussionmentioning

confidence: 99%

Improving the Efficacy and Accessibility of Intracranial Viral Vector Delivery in Non-Human Primates

Griggs

Garcia

et al. 2022

Pharmaceutics

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Non-human primates (NHPs) are precious resources for cutting-edge neuroscientific research, including large-scale viral vector-based experimentation such as optogenetics. We propose to improve surgical outcomes by enhancing the surgical preparation practices of convection-enhanced delivery (CED), which is an efficient viral vector infusion technique for large brains such as NHPs’. Here, we present both real-time and next-day MRI data of CED in the brains of ten NHPs, and we present a quantitative, inexpensive, and practical bench-side model of the in vivo CED data. Our bench-side model is composed of food coloring infused into a transparent agar phantom, and the spread of infusion is optically monitored over time. Our proposed method approximates CED infusions into the cortex, thalamus, medial temporal lobe, and caudate nucleus of NHPs, confirmed by MRI data acquired with either gadolinium-based or manganese-based contrast agents co-infused with optogenetic viral vectors. These methods and data serve to guide researchers and surgical team members in key surgical preparations for intracranial viral delivery using CED in NHPs, and thus improve expression targeting and efficacy and, as a result, reduce surgical risks.

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Network structure mediates functional reorganization induced by optogenetic stimulation of non-human primate sensorimotor cortex

Cited by 9 publications

References 56 publications

Large-scale multimodal surface neural interfaces for primates

Large-scale multimodal surface neural interfaces for primates

Inferring Neural Communication Dynamics from Field Potentials Using Graph Diffusion Autoregression

Improving the Efficacy and Accessibility of Intracranial Viral Vector Delivery in Non-Human Primates

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