The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Predictors of antidepressant response in clinical trials of transcranial magnetic stimulation
Open accessAbstract
Although previous clinical trials have suggested that repetitive transcranial magnetic stimulation (rTMS) has a significant antidepressant effect, the results of these trials are heterogeneous. We hypothesized that individual patients' characteristics might contribute to such heterogeneity. Our aim was to identify predictors of antidepressant response to rTMS. We pooled data from six separate clinical trials conducted independently, which evaluated the effects of rapid rTMS of the left dorsolateral prefrontal cortex in patients with major depression. We investigated 195 patients with regard to demographic, depression and treatment characteristics, psychiatric and drug history. Results showed that age and treatment refractoriness were significant negative predictors of depression improvement when adjusting these variables to other significant predictors and confounders. These findings were not confounded by methodological differences from the six studies, as the results were adjusted for the study site. In conclusion TMS antidepressant therapy in younger and less treatment-resistant patients is associated with better outcome.
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Cites
Wilamowska (2010) · doi:10.1001/archpsyc.1988.01800320058007 · Cited by 2,115
Global burden of depressive disorders in the year 2000
Üstün, T. B., Ayuso-Mateos, J. L., Chatterji, S., Mathers, C., & Murray, C. J. L. (2004) · British Journal of Psychiatry · doi:10.1192/bjp.184.5.386 · Cited by 1,735
(2003) · The Lancet · doi:10.1016/s0140-6736(03)12705-5 · Cited by 1,706
Mosimann, U. P., Schmitt, W., Greenberg, B. D., Kosel, M., Müri, R. M., Berkhoff, M., Hess, C. W., Fisch, H. U., & Schlaepfer, T. E. (2004) · Psychiatry Research · doi:10.1016/j.psychres.2003.10.006 · Cited by 192
Nahas, Z., Li, X., Kozel, F. A., Mirzki, D., Memon, M., Miller, K., Yamanaka, K., Anderson, B., Chae, J.-H., Bohning, D. E., et al. (2004) · Depression and Anxiety · doi:10.1002/da.20015 · Cited by 145
Cited by
Blumberger, D. M., Vila-Rodriguez, F., Thorpe, K. E., Feffer, K., Noda, Y., Giacobbe, P., Knyahnytska, Y., Kennedy, S. H., Lam, R. W., Daskalakis, Z. J., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)30295-2 · Cited by 1,363
Stanford Accelerated Intelligent Neuromodulation Therapy for Treatment-Resistant Depression
Cole, E. J., Stimpson, K. H., Bentzley, B. S., Gulser, M., Cherian, K., Tischler, C., Nejad, R., Pankow, H., Choi, E., Aaron, H., et al. (2020) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2019.19070720 · Cited by 802
McClintock, S. M., Reti, I. M., Carpenter, L. L., McDonald, W. M., Dubin, M., Taylor, S. F., Cook, I. A., O’Reardon, J., Husain, M. M., Wall, C., et al. (2018) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.16cs10905 · Cited by 693
Brunoni, A. R., Valiengo, L., Baccaro, A., Zanão, T. A., de Oliveira, J. F., Goulart, A., Boggio, P. S., Lotufo, P. A., Benseñor, I. M., & Fregni, F. (2013) · JAMA Psychiatry · doi:10.1001/2013.jamapsychiatry.32 · Cited by 601
Self-citationSchmahmann, J. D. (2010) · Neuropsychology Review · doi:10.1007/s11065-010-9142-x · Cited by 583
Metadata
- Authors
- Fregni, F., Marcolin, M. A., Myczkowski, M., Amiaz, R., Hasey, G., Rumi, D. O., Rosa, M., Rigonatti, S. P., Camprodon, J., Walpoth, M., Heaslip, J., Grunhaus, L., Hausmann, A., & Pascual-Leone, A.
- Venue
- The International Journal of Neuropsychopharmacology
- Publisher
- Oxford University Press (OUP)
- Published
- 2005-11-23
- Volume
- 9
- Issue
- 06
- Pages
- 641
- ISSN
- 1461-1457 (ISSN-L)
- 1469-5111
- OpenAlex
- W1997945733
- Cited by
- 255
- References
- 5
- FWCI
- 3.75
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Fregni, F., Marcolin, M. A., Myczkowski, M., Amiaz, R., Hasey, G., Rumi, D. O., Rosa, M., Rigonatti, S. P., Camprodon, J., Walpoth, M., Heaslip, J., Grunhaus, L., Hausmann, A., & Pascual-Leone, A. (2006). Predictors of antidepressant response in clinical trials of transcranial magnetic stimulation. The International Journal of Neuropsychopharmacology. https://doi.org/10.1017/s1461145705006280
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.