Lead-DBS v3.0: Mapping deep brain stimulation effects to local anatomy and global networks

Neudorfer, Clemens; Butenko, Konstantin; Oxenford, Simón; Rajamani, Nanditha; Achtzehn, Johannes; Goede, Lukas; Hollunder, Barbara; Ríos, Ana Sofía; Hart, Lauren; Tasserie, Jordy; Fernando, Kavisha B; Nguyen, T. A. Khoa; Al‐Fatly, Bassam; Vissani, Matteo; Fox, Michael; Richardson, R. Mark; Rienen, Ursula van; Kühn, Andrea A.; Husch, Andreas; Opri, Enrico; Dembek, Till A.; Li, Ningfei; Horn, Andreas

doi:10.1016/j.neuroimage.2023.119862

Cited by 68 publications

(52 citation statements)

References 104 publications

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“…DBS electrodes of all patients were localized based on default settings in an advanced, state-of-the-art processing pipeline as implemented in Lead-DBS software, v3.0 (https://www.lead-dbs.org) 40 . Lead-DBS being a MATLAB based software, MATLAB R2022b, v9.13.0.2105380 (The MathWorks Inc., Natick, MA, USA) was used to implement this analysis pipeline.…”

Section: Methodsmentioning

confidence: 99%

“…This method had outperformed comparable approaches for subcortical normalizations (including STN segmentation) across >10,000 nonlinear warps and different normalization techniques in two independent studies, with precision approaching manual expert segmentation 88,89 . To maximize registration accuracy further, normalization warp-fields were manually refined using the “WarpDrive” tool included in Lead-DBS 40 , with particular attention to the STN as the anatomical structure in focus. Across analyses and visualizations of results, atlas definitions of the STN were based on the DBS Intrinsic Template (DISTAL) atlas 41 , a precise subcortical atlas explicitly created for use within Lead-DBS and based on convergent information from multimodal MRI, histology as well as structural connectivity.…”

Section: Methodsmentioning

confidence: 99%

“…Integrating patient-specific active electrode contacts with stimulation parameters, the electric field (E-field) as the gradient distribution of electrical potential in space was simulated in native patient space via an adaptation of the SimBio/FieldTrip pipeline (https://www.mrt.uni-jena.de/simbio/; http://fieldtriptoolbox.org/) 94 as implemented in Lead-DBS 40 . Using a finite element (FEM) approach, a volume conductor model was created on the basis of a four-compartment mesh 34 , which involves a realistic 3D model of electrodes (metal and insulating electrode aspects) and surrounding anatomy (gray and white matter).…”

Section: Methodsmentioning

confidence: 99%

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Mapping Dysfunctional Circuits in the Frontal Cortex Using Deep Brain Stimulation

Hollunder

Ostrem

Sahin

et al. 2023

Preprint

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The frontal cortex is involved in motor, cognitive, and affective brain functions. In humans, however, neuroanatomy-function mappings are predominantly derived from correlative neuroimaging studies. Hence, exactly which frontal domains causally mediate which function remains largely elusive. Herein, we leverage a strategy that allows for causal inference using invasive neuromodulation. Studying 394 subthalamic deep brain stimulation electrodes in patients suffering from one of four brain disorders, we segregated the frontal cortex into cortical projection sites of modulated circuits by their involvement in specific functions. Modulating projections from sensory and motor cortices in dystonia, from primary motor cortex in Tourette's syndrome, from supplementary motor cortex in Parkinson's disease, and from ventromedial prefrontal, anterior cingulate, dorsolateral prefrontal and orbitofrontal cortices in obsessive-compulsive disorder linked to respective symptom improvements. Our findings showcase the combination of deep brain stimulation and brain connectomics as a tool for causal inference on structure-function mappings within the human brain.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Mapping Dysfunctional Circuits in the Frontal Cortex Using Deep Brain Stimulation

Hollunder

Ostrem

Sahin

et al. 2023

Preprint

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“…To do so, we downloaded and processed an rs-fMRI dataset from a sub-cohort of the Consortium for Reliability and Reproducibility (CoRR) 36 , namely nyu2 sub-cohort, containing neuroimaging data collected from neurotypical adult and pediatric subjects (http://fcon_1000.projects.nitrc.org/indi/CoRR/html/nyu_2.html) 36 . Specifically, only data from 107 subjects of age 6-18 years were included (an earlier version of the connectome is mentioned in 37 , for demographics and imaging protocols please see 36 , for scans parameters see suppl. table 1).…”

Section: Methodsmentioning

confidence: 99%

Neuroimaging-based analysis of DBS outcome in pediatric dystonia: Insights from the GEPESTIM registry

Al‐Fatly

Giesler

Oxenford

et al. 2023

Preprint

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Introduction Deep brain stimulation (DBS) is an established treatment in patients with pharmaco-resistant neurological disorders of different ages. Surgical targeting and postoperative programming of DBS depend on the spatial location of the stimulating electrodes in relation to the surrounding anatomical structures and on electrode connectivity to a specific distributed pattern of brain networks. Such information is usually collected using group-level analysis which relies on the availability normative imaging-resources (atlases and connectomes). To this end, analyzing DBS data of children with debilitating neurological disorders like dystonia would make benefit from such resources, especially given the developmental differences between adults and children neuroimaging data. We assembled pediatric, normative neuroimaging-resources from open-access neuroimaging datasets and illustrated their utility on a cohort of children with dystonia treated with pallidal DBS. We aimed to derive a local pallidal sweetspot and explore a connectivity fingerprint associated with pallidal stimulation to exemplify the utility of the assembled imaging resources. Methods A pediatric average brain template was implemented and used to localize DBS electrodes of twenty patients of the GEPESTIM registry cohort. Next, a pediatric subcortical atlas was also employed to highlight anatomical structures of interest. Local pallidal sweetspot was modeled and its degree of overlap with stimulation volumes was calculated as a correlate of individual clinical outcome. Additionally, a pediatric functional connectome of neurotypical subjects was built to allow network-based analyses and decipher a connectivity fingerprint responsible for clinical improvement in our cohort. Results We successfully implemented a pediatric neuroimaging dataset that will be made available to public use as a tool for DBS-analyses. Overlap of stimulation volumes with the identified DBS-sweetspot model correlated significantly with improvement on a local spatial level (R = 0.46, permuted p = 0.019). Functional connectivity fingerprint of DBS-outcome was determined as a network correlate of therapeutic pallidal stimulation in children with dystonia (R = 0.30, permuted p = 0.003). Conclusions Local sweetspot and distributed network models provide neuroanatomical substrates for DBS-associated clinical outcome in dystonia using pediatric neuroimaging surrogate data. The current implementation of pediatric neuroimaging dataset might help improving the practice of DBS-neuroimaging analyses in pediatric patients.

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“…Notably, it is currently possible to reconstruct the location of the lead inside a patient’s brain with trustworthy and readily accessible software [ 179 , 180 , 181 ]. Such tools enable a detailed visualization of the induced electric fields around the lead and enhance our understanding of which structures are actually being stimulated.…”

Section: Cerebellar Dbs In Hereditary Ataxiasmentioning

confidence: 99%

The Therapeutic Potential of Non-Invasive and Invasive Cerebellar Stimulation Techniques in Hereditary Ataxias

Benussi

Batsikadze

França

et al. 2023

Cells

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The degenerative ataxias comprise a heterogeneous group of inherited and acquired disorders that are characterized by a progressive cerebellar syndrome, frequently in combination with one or more extracerebellar signs. Specific disease-modifying interventions are currently not available for many of these rare conditions, which underscores the necessity of finding effective symptomatic therapies. During the past five to ten years, an increasing number of randomized controlled trials have been conducted examining the potential of different non-invasive brain stimulation techniques to induce symptomatic improvement. In addition, a few smaller studies have explored deep brain stimulation (DBS) of the dentate nucleus as an invasive means to directly modulate cerebellar output, thereby aiming to alleviate ataxia severity. In this paper, we comprehensively review the clinical and neurophysiological effects of transcranial direct current stimulation (tDCS), repetitive transcranial magnetic stimulation (rTMS), and dentate nucleus DBS in patients with hereditary ataxias, as well as the presumed underlying mechanisms at the cellular and network level and perspectives for future research.

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Lead-DBS v3.0: Mapping deep brain stimulation effects to local anatomy and global networks

Cited by 68 publications

References 104 publications

Mapping Dysfunctional Circuits in the Frontal Cortex Using Deep Brain Stimulation

Mapping Dysfunctional Circuits in the Frontal Cortex Using Deep Brain Stimulation

Neuroimaging-based analysis of DBS outcome in pediatric dystonia: Insights from the GEPESTIM registry

The Therapeutic Potential of Non-Invasive and Invasive Cerebellar Stimulation Techniques in Hereditary Ataxias

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