Orientation-selective and directional deep brain stimulation in swine assessed by functional MRI at 3T

Slopsema, Julia P.; Canna, Antonietta; Uchenik, Michelle; Lehto, Lauri J.; Krieg, Jordan; Wilmerding, Lucius K; Koski, Dee M.; Kobayashi, Naoharu; Dao, Joan; Blumenfeld, Madeline; Filip, Pavel; Min, Hoon Ki; Mangia, Silvia; Johnson, Matthew D.; Michaeli, Shalom

doi:10.1016/j.neuroimage.2020.117357

Cited by 13 publications

(4 citation statements)

References 62 publications

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“…Several targeting algorithms have been developed in recent years including neural network classification based on VTA morphologies (Chaturvedi et al, 2013), convex optimization for targeting several (Xiao et al, 2016), or a broader range (Anderson et al, 2018) of axonal pathways, orientation-selective stimulation (Lehto et al, 2017;Slopsema et al, 2018Slopsema et al, , 2020 and particle swarm optimization that can incorporate single (Pena et al, 2017) or multiple (Pena et al, 2018) objective functions. While these studies have focused primarily on optimizing electrode configurations, including monopolar and multipolar stimulation, and stimulation amplitude, model-based algorithms have also shown utility for optimizing the pattern of stimulation (Brocker et al, 2017;Cassar et al, 2017) and the shape and size of DBS (Howell et al, 2015) electrodes (Teplitzky et al, 2016).…”

Section: Model-based Algorithms For Optimizing Dbs Therapymentioning

confidence: 99%

Proceedings of the Eighth Annual Deep Brain Stimulation Think Tank: Advances in Optogenetics, Ethical Issues Affecting DBS Research, Neuromodulatory Approaches for Depression, Adaptive Neurostimulation, and Emerging DBS Technologies

Vedam‐Mai¹,

Deisseroth²,

Giordano³

et al. 2021

Front. Hum. Neurosci.

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We estimate that 208,000 deep brain stimulation (DBS) devices have been implanted to address neurological and neuropsychiatric disorders worldwide. DBS Think Tank presenters pooled data and determined that DBS expanded in its scope and has been applied to multiple brain disorders in an effort to modulate neural circuitry. The DBS Think Tank was founded in 2012 providing a space where clinicians, engineers, researchers from industry and academia discuss current and emerging DBS technologies and logistical and ethical issues facing the field. The emphasis is on cutting edge research and collaboration aimed to advance the DBS field. The Eighth Annual DBS Think Tank was held virtually on September 1 and 2, 2020 (Zoom Video Communications) due to restrictions related to the COVID-19 pandemic. The meeting focused on advances in: (1) optogenetics as a tool for comprehending neurobiology of diseases and on optogenetically-inspired DBS, (2) cutting edge of emerging DBS technologies, (3) ethical issues affecting DBS research and access to care, (4) neuromodulatory approaches for depression, (5) advancing novel hardware, software and imaging methodologies, (6) use of neurophysiological signals in adaptive neurostimulation, and (7) use of more advanced technologies to improve DBS clinical outcomes. There were 178 attendees who participated in a DBS Think Tank survey, which revealed the expansion of DBS into several indications such as obesity, post-traumatic stress disorder, addiction and Alzheimer’s disease. This proceedings summarizes the advances discussed at the Eighth Annual DBS Think Tank.

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Section: Model-based Algorithms For Optimizing Dbs Therapymentioning

confidence: 99%

Proceedings of the Eighth Annual Deep Brain Stimulation Think Tank: Advances in Optogenetics, Ethical Issues Affecting DBS Research, Neuromodulatory Approaches for Depression, Adaptive Neurostimulation, and Emerging DBS Technologies

Vedam‐Mai¹,

Deisseroth²,

Giordano³

et al. 2021

Front. Hum. Neurosci.

View full text Add to dashboard Cite

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“…Since 250-300 g rats were used in this study, the dose would be equivalent to 1.0-1.2 × 10 8 cells in human stroke patients who are supposed to be 60 kg. The average brain weights of humans and rats are 1300-1400 and 2 g, respectively [ 55 ]. When the equivalent dose is calculated according to the ratio of brain weight, the human dose would be 3.25-3.5 × 10 8 cells.…”

Section: Discussionmentioning

confidence: 99%

JAK2/STAT3 pathway mediates neuroprotective and pro-angiogenic treatment effects of adult human neural stem cells in middle cerebral artery occlusion stroke animal models

Ha¹,

Kim²,

Park

et al. 2022

Aging

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Mismatches between pre-clinical and clinical results of stem cell therapeutics for ischemic stroke limit their clinical applicability. To overcome these discrepancies, precise planning of pre-clinical experiments that can be translated to clinical trials and the scientific elucidation of treatment mechanisms is important. In this study, adult human neural stem cells (ahNSCs) derived from temporal lobe surgical samples were used (to avoid ethical and safety issues), and their therapeutic effects on ischemic stroke were examined using middle cerebral artery occlusion animal models. 5 × 10⁵ ahNSCs was directly injected into the lateral ventricle of contralateral brain hemispheres of immune suppressed rat stroke models at the subacute phase of stroke. Compared with the mock-treated group, ahNSCs reduced brain tissue atrophy and neurological sensorimotor and memory functional loss. Tissue analysis demonstrated that the significant therapeutic effects were mediated by the neuroprotective and pro-angiogenic activities of ahNSCs, which preserved neurons in ischemic brain areas and decreased reactive astrogliosis and microglial activation. The neuroprotective and proangiogenic effects of ahNSCs were validated in in vitro stroke models and were induced by paracrine factors excreted by ahNSCs. When the JAK2/STAT3 signaling pathway was inhibited by a specific inhibitor, AG490, the paracrine neuroprotective and pro-angiogenic effects of ahNSCs were reversed. This pre-clinical study that closely simulated clinical settings and provided treatment mechanisms of ahNSCs for ischemic stroke may aid the development of protocols for subsequent clinical trials of ahNSCs and the realization of clinically available stem cell therapeutics for ischemic stroke.

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“…multi-compartment cable models of axons in the NEURON modeling environment, considered the gold standard, would provide better estimation of neural activation (McNeal 1976, McIntyre and Foutz 2013, Sweet et al 2016, Howell and McIntyre 2016, Gunalan et al 2018. In particular, impact and sensitivity of fiber orientation on functional outcome of DBS therapy could be further considered, similar to in Lehto et al (2017) and Slopsema et al (2021) where functional MRI (fMRI) was leveraged. The approach of leveraging NEURON modeling environment as well as accounting for fiber orientation where pathway activation percentage can be assessed should be a part of further retrospective analysis on the impact of shift on neural pathway recruitment (Lehto et al 2017, Gunalan et al 2018, Slopsema et al 2021.…”

Section: Discussionmentioning

confidence: 99%

Impact of brain shift on neural pathways in deep brain stimulation: a preliminary analysis via multi-physics finite element models

et al. 2021

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Objective. The effectiveness of deep brain stimulation (DBS) depends on electrode placement accuracy, which can be compromised by brain shift during surgery. While there have been efforts in assessing the impact of electrode misplacement due to brain shift using preop- and postop-imaging data, such analysis using preop- and intraop-imaging data via biophysical modeling has not been conducted. This work presents a preliminary study that applies a multi-physics analysis framework using finite element biomechanical and bioelectric models to examine the impact of realistic intraoperative shift on neural pathways determined by tractography. Approach. The study examined six patients who had undergone interventional magnetic resonance-guided DBS surgery. The modeling framework utilized a biomechanical approach to update preoperative MR to reflect shift-induced anatomical changes. Using this anatomically deformed image and its undeformed counterpart, bioelectric effects from shifting electrode leads could be simulated and neural activation differences were approximated. Specifically, for each configuration, volume of tissue activation was computed and subsequently used for tractography estimation. Total tract volume and overlapping volume with motor regions as well as connectivity profile were compared. In addition, volumetric overlap between different fiber bundles among configurations was computed and correlated to estimated shift. Main results. The study found deformation-induced differences in tract volume, motor region overlap, and connectivity behavior, suggesting the impact of shift. There is a strong correlation (R = −0.83) between shift from intended target and intended neural pathway recruitment, where at threshold of ∼2.94 mm, intended recruitment completely degrades. The determined threshold is consistent with and provides quantitative support to prior observations and literature that deviations of 2–3 mm are detrimental. Significance. The findings support and advance prior studies and understanding to illustrate the need to account for shift in DBS and the potentiality of computational modeling for estimating influence of shift on neural activation.

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Orientation-selective and directional deep brain stimulation in swine assessed by functional MRI at 3T

Cited by 13 publications

References 62 publications

Proceedings of the Eighth Annual Deep Brain Stimulation Think Tank: Advances in Optogenetics, Ethical Issues Affecting DBS Research, Neuromodulatory Approaches for Depression, Adaptive Neurostimulation, and Emerging DBS Technologies

Proceedings of the Eighth Annual Deep Brain Stimulation Think Tank: Advances in Optogenetics, Ethical Issues Affecting DBS Research, Neuromodulatory Approaches for Depression, Adaptive Neurostimulation, and Emerging DBS Technologies

JAK2/STAT3 pathway mediates neuroprotective and pro-angiogenic treatment effects of adult human neural stem cells in middle cerebral artery occlusion stroke animal models

Impact of brain shift on neural pathways in deep brain stimulation: a preliminary analysis via multi-physics finite element models

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