The DOI matches its Crossref record; 131 of the 131 references it cites were found in a registry or an index.
Deep brain stimulation: current challenges and future directions
Open accessAbstract
The clinical use of deep brain stimulation (DBS) is among the most important advances in the clinical neurosciences in the past two decades. As a surgical tool, DBS can directly measure pathological brain activity and can deliver adjustable stimulation for therapeutic effect in neurological and psychiatric disorders correlated with dysfunctional circuitry. The development of DBS has opened new opportunities to access and interrogate malfunctioning brain circuits and to test the therapeutic potential of regulating the output of these circuits in a broad range of disorders. Despite the success and rapid adoption of DBS, crucial questions remain, including which brain areas should be targeted and in which patients. This Review considers how DBS has facilitated advances in our understanding of how circuit malfunction can lead to brain disorders and outlines the key unmet challenges and future directions in the DBS field. Determining the next steps in DBS science will help to define the future role of this technology in the development of novel therapeutics for the most challenging disorders affecting the human brain.Over the past 20 years, deep brain stimulation (DBS) has transformed the treatment of movement disorders. Now, new therapeutic possibilities for DBS are emerging for other neurological and psychiatric disorders. This Review considers the clinical and scientific advances facilitated by DBS and the crucial questions, challenges and opportunities that face this technology.Key pointsDeep brain stimulation (DBS) is opening new therapeutic possibilities for neurological and psychiatric disorders.DBS is enabling neuroscientists to obtain direct measures of cellular activity and to probe the function of neural circuits.The delivery of DBS at precise locations and the wide range of stimulation parameters available enable unprecedented temporal and spatial control of brain circuits.The mechanisms of action of DBS at the cell, molecular and systems level are poorly understood and much work remains to be done.The ethical issues presented by the application of DBS in new patient populations and for new indications require careful consideration.
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Cites
Deep Brain Stimulation for Treatment-Resistant Depression
Mayberg, H. S., Lozano, A. M., Voon, V., McNeely, H. E., Seminowicz, D., Hamani, C., Schwalb, J. M., & Kennedy, S. H. (2005) · Neuron · doi:10.1016/j.neuron.2005.02.014 · Cited by 4,059
Self-citationBardo, M. T., & Hammer, R. P. (1991) · Neuroscience · doi:10.1016/0306-4522(91)90226-e · Cited by 3,219
Mayberg, H. S., Liotti, M., Brannan, S. K., McGinnis, S., Mahurin, R. K., Jerabek, P. A., Silva, J. A., Tekell, J. L., Martin, C. C., Lancaster, J. L., et al. (1999) · American Journal of Psychiatry · doi:10.1176/ajp.156.5.675 · Cited by 2,416
Electrical stimulation of the anterior nucleus of thalamus for treatment of refractory epilepsy
Fisher, R., Salanova, V., Witt, T., Worth, R., Henry, T., Gross, R., Oommen, K., Osorio, I., Nazzaro, J., Labar, D., et al. (2010) · Epilepsia · doi:10.1111/j.1528-1167.2010.02536.x · Cited by 1,918
Reversal of Experimental Parkinsonism by Lesions of the Subthalamic Nucleus
Bergman, H., Wichmann, T., & DeLong, M. R. (1990) · Science · doi:10.1126/science.2402638 · Cited by 1,907
Self-citationLimbic-cortical dysregulation: a proposed model of depression
(1997) · The Journal of Neuropsychiatry and Clinical Neurosciences · doi:10.1176/jnp.9.3.471 · Cited by 1,585
Neurostimulation for Parkinson's Disease with Early Motor Complications
Schuepbach, W. M. M., Rau, J., Knudsen, K., Volkmann, J., Krack, P., Timmermann, L., Hälbig, T. D., Hesekamp, H., Navarro, S. M., Meier, N., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1205158 · Cited by 1,430
Self-citationBenabid, A. L., Pollak, P., Louveau, A., Henry, S., & de Rougemont, J. (1987) · Stereotactic and Functional Neurosurgery · doi:10.1159/000100803 · Cited by 1,378
Pallidal versus Subthalamic Deep-Brain Stimulation for Parkinson's Disease
Follett, K. A., Weaver, F. M., Stern, M., Hur, K., Harris, C. L., Luo, P., Marks, W. J., Rothlind, J., Sagher, O., Moy, C., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa0907083 · Cited by 1,355
A Randomized Trial of Focused Ultrasound Thalamotomy for Essential Tremor
Elias, W. J., Lipsman, N., Ondo, W. G., Ghanouni, P., Kim, Y. G., Lee, W., Schwartz, M., Hynynen, K., Lozano, A. M., Shah, B. B., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1600159 · Cited by 1,167
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The blood–brain barrier: Structure, regulation and drug delivery
Wu, D., Chen, Q., Chen, X., Han, F., Chen, Z., & Wang, Y. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01481-w · Cited by 1,906
“141,142 146 But the potential risks from brain exposure and damage of these invasive strategies limited their applications for long-term use.”
BackgroundGilron, R., Little, S., Perrone, R., Wilt, R., de Hemptinne, C., Yaroshinsky, M. S., Racine, C. A., Wang, S. S., Ostrem, J. L., Larson, P. S., et al. (2021) · Nature Biotechnology · doi:10.1038/s41587-021-00897-5 · Cited by 343
Zou, Y., Sun, X., Yang, Q., Zheng, M., Shimoni, O., Ruan, W., Wang, Y., Zhang, D., Yin, J., Huang, X., et al. (2022) · Science Advances · doi:10.1126/sciadv.abm8011 · Cited by 227
Wu, X., Jiang, Y., Rommelfanger, N. J., Yang, F., Zhou, Q., Yin, R., Liu, J., Cai, S., Ren, W., Shin, A., et al. (2022) · Nature Biomedical Engineering · doi:10.1038/s41551-022-00862-w · Cited by 222
Opportunities of connectomic neuromodulation
Horn, A., & Fox, M. D. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117180 · Cited by 187
Metadata
- Authors
- Lozano, A. M., Lipsman, N., Bergman, H., Brown, P., Chabardes, S., Chang, J. W., Matthews, K., McIntyre, C. C., Schlaepfer, T. E., Schulder, M., Temel, Y., Volkmann, J., & Krauss, J. K.
- Venue
- Nature Reviews Neurology
- Published
- 2019-01-25
- Volume
- 15
- Issue
- 3
- Pages
- 148-160
- ISSN
- 1759-4758 (ISSN-L)
- 1759-4766
- OpenAlex
- W2912123407
- Cited by
- 1,450
- References
- 131
- FWCI
- 23.45
- Type
- journal article
- Language
- en
- Open access
- green
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