ArticlePsychiatry research. Neuroimaging2017
Using probabilistic tractography to target the subcallosal cingulate cortex in patients with treatment resistant depression.
Article in Psychiatry research. Neuroimaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Deep Brain Stimulation for Depression Informed by Intracranial Recordings.Biological psychiatry · 2022Trial
- Combinatorial effects of multi-site stimulation on depression-related brain regions: clinical data analysis and predictive modeling.Frontiers in psychiatry · 2026Article
- Deep Brain Stimulation in the Bed Nucleus of Stria Terminalis and Medial Forebrain Bundle in Two Patients With Treatment-Resistant Depression and Generalized Anxiety Disorder-A Long-Term Follow-Up.Clinical case reports · 2025Article
- A review of diffusion MRI in mood disorders: mechanisms and predictors of treatment response.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Review
- Brain-computer interfaces for neuropsychiatric disorders.Nature reviews bioengineering · 2024Article
- Machine learning classifiers for electrode selection in the design of closed-loop neuromodulation devices for episodic memory improvement.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Neuromodulation for treatment-resistant depression: Functional network targets contributing to antidepressive outcomes.Frontiers in human neuroscience · 2023Review
- Structural connections of the centromedian nucleus of thalamus and their relevance for neuromodulation in generalized drug-resistant epilepsy: insight from a tractography study.Therapeutic advances in neurological disorders · 2023Article
- White Matter Microstructure Associated with the Antidepressant Effects of Deep Brain Stimulation in Treatment-Resistant Depression: A Review of Diffusion Tensor Imaging Studies.International journal of molecular sciences · 2022Review
- Automated optimization of deep brain stimulation parameters for modulating neuroimaging-based targets.Journal of neural engineering · 2022Article
- Diffusion tensor imaging correlates of depressive symptoms in Parkinson disease.The Journal of comparative neurology · 2022Article
- Subcallosal Cingulate Cortex Deep Brain Stimulation for Treatment-Resistant Depression: A Systematic Review.Frontiers in neurology · 2022Review
- Variability of white matter anatomy in the subcallosal cingulate area.Human brain mapping · 2021Article
- Recruitment Challenges for Studies of Deep Brain Stimulation for Treatment-Resistant Depression.Neuropsychiatric disease and treatment · 2021Article
- A Decade of Progress in Deep Brain Stimulation of the Subcallosal Cingulate for the Treatment of Depression.Journal of clinical medicine · 2020Review
- Deep Brain Stimulation Is Effective for Treatment-Resistant Depression: A Meta-Analysis and Meta-Regression.Journal of clinical medicine · 2020Article
- Deep Brain Stimulation Initiative: Toward Innovative Technology, New Disease Indications, and Approaches to Current and Future Clinical Challenges in Neuromodulation Therapy.Frontiers in neurology · 2020Review
- A novel concurrent TMS-fMRI method to reveal propagation patterns of prefrontal magnetic brain stimulation.Human brain mapping · 2018Article
- Improving Surgical Outcome Using Diffusion Tensor Imaging Techniques in Deep Brain Stimulation.Frontiers in surgery · 2017Review
- Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The lack of efficacy of deep brain stimulation (DBS) of subcallosal cingulate (SCC) in treatment resistant depression (TRD) may be due in part to suboptimal targeting. In two patients treated with SCC DBS for TRD we assessed the voxel-wise probabilistic connectivity of SCC with four tractography-defined target areas implicated in depression, thereby identifying the tractography-optimized target (TOT). Compared to the non-responder, the responder's DBS leads were implanted and stimulation was delivered closer to the TOT. This automated patient-specific data-driven approach provides tomographic maps that could guide DBS targeting and programming with possible implications for improving response to DBS.
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