2020
DOI: 10.3174/ajnr.a6693
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Neuroimaging Advances in Deep Brain Stimulation: Review of Indications, Anatomy, and Brain Connectomics

Abstract: Deep brain stimulation is an established therapy for multiple brain disorders, with rapidly expanding potential indications. Neuroimaging has advanced the field of deep brain stimulation through improvements in delineation of anatomy, and, more recently, application of brain connectomics. Older lesion-derived, localizationist theories of these conditions have evolved to newer, network-based "circuitopathies," aided by the ability to directly assess these brain circuits in vivo through the use of advanced neuro… Show more

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Cited by 72 publications
(72 citation statements)
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References 80 publications
(89 reference statements)
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“…These tools allow us to precisely register DBS stimulation sites to other datasets, such as histological atlases ( Ewert et al, 2018 ; Ilinsky et al, 2018 ), postmortem imaging ( Edlow et al, 2019 ), or to normative connectome data aggregated from thousands of subjects ( Horn et al, 2017a ; Horn and Fox, 2020 ). In cases where patient-specific connectivity data is unavailable, normative connectome data can be an effective surrogate ( Baldermann et al, 2019 ; Wang et al, 2020 ) and can potentially add the advantage of higher precision and increased signal-to-noise ratios when including data from the postmortem specimen ( Calabrese et al, 2015 ), histology ( Alho et al, 2020 ), or with integrated anatomical expert knowledge ( Petersen et al, 2019 ; Middlebrooks et al, 2020 ; Figure 4 ).…”
Section: New Hardware/software/imagingmentioning
confidence: 99%
“…These tools allow us to precisely register DBS stimulation sites to other datasets, such as histological atlases ( Ewert et al, 2018 ; Ilinsky et al, 2018 ), postmortem imaging ( Edlow et al, 2019 ), or to normative connectome data aggregated from thousands of subjects ( Horn et al, 2017a ; Horn and Fox, 2020 ). In cases where patient-specific connectivity data is unavailable, normative connectome data can be an effective surrogate ( Baldermann et al, 2019 ; Wang et al, 2020 ) and can potentially add the advantage of higher precision and increased signal-to-noise ratios when including data from the postmortem specimen ( Calabrese et al, 2015 ), histology ( Alho et al, 2020 ), or with integrated anatomical expert knowledge ( Petersen et al, 2019 ; Middlebrooks et al, 2020 ; Figure 4 ).…”
Section: New Hardware/software/imagingmentioning
confidence: 99%
“…Recent neuromodulation perspectives have shifted away from focal stimulation of brain nuclei, focusing instead on the modulation of distributed brain networks through analyses of connectomics [229][230][231]. The concept of 'circuitopathies' is not new, yet recently enhanced MRI capabilities have made it possible to identify white matter tracts and connectivity pathways.…”
Section: Functional Connectivity Insightmentioning
confidence: 99%
“…Indeed, data-driven methods strongly rely on the selected clustering algorithm, the chosen number of clusters and the validation metrics for evaluating stability of clustering solution (Reuter et al, 2020). Moreover, establishing anatomical priors may constitute a strength in stereotactic neurosurgery where anatomy and pathophysiology are strongly tied together in disease-specific models which drive the choice of targets (Helmich et al, 2013; Middlebrooks et al, 2020). Finally, hypothesis-driven methods are more straightforward and easier to implement in clinical practice for preoperative evaluation or retrospective analysis as already demonstrated by existing studies (Patriat et al, 2018; Plantinga et al, 2018).…”
Section: Discussionmentioning
confidence: 99%