The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.
Transcutaneous Vagus Nerve Stimulation Modulates Default Mode Network in Major Depressive Disorder
Open accessAbstract
BACKGROUND: Depression is the most common form of mental disorder in community and health care settings and current treatments are far from satisfactory. Vagus nerve stimulation (VNS) is a Food and Drug Administration approved somatic treatment for treatment-resistant depression. However, the involvement of surgery has limited VNS only to patients who have failed to respond to multiple treatment options. Transcutaneous VNS (tVNS) is a relatively new, noninvasive VNS method based on the rationale that there is afferent/efferent vagus nerve distribution on the surface of the ear. The safe and low-cost characteristics of tVNS have the potential to significantly expand the clinical application of VNS. METHODS: In this study, we investigated how tVNS can modulate the default mode network (DMN) functional connectivity (FC) in mild or moderate major depressive disorder (MDD) patients. Forty-nine MDD patients were recruited and received tVNS or sham tVNS (stVNS) treatments. RESULTS: Thirty-four patients completed the study and were included in data analysis. After 1 month of tVNS treatment, the 24-item Hamilton Depression Rating Scale score reduced significantly in the tVNS group as compared with the stVNS group. The FC between the DMN and anterior insula and parahippocampus decreased; the FC between the DMN and precuneus and orbital prefrontal cortex increased compared with stVNS. All these FC increases are also associated with 24-item Hamilton Depression Rating Scale reduction. CONCLUSIONS: tVNS can significantly modulate the DMN FC of MDD patients; our results provide insights to elucidate the brain mechanism of tVNS treatment for MDD patients.
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Advances in functional and structural MR image analysis and implementation as FSL
Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.051 · Cited by 13,630
The Brain's Default Network: Anatomy, Function, and Relevance to Disease
Buckner, R. L., Andrews‐Hanna, J. R., & Schacter, D. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.011 · Cited by 9,761
Dissociable intrinsic connectivity networks for salience processing and executive control
Seeley, W. W., Menon, V., Schatzberg, A. F., Keller, J., Glover, G. H., Kenna, H., Reiss, A. L., & Greicius, M. D. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.5587-06.2007 · Cited by 7,426
Emotional processing in anterior cingulate and medial prefrontal cortex
Etkin, A., Egner, T., & Kalisch, R. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.11.004 · Cited by 3,059
Toward discovery science of human brain function
Biswal, B. B., Mennes, M., Zuo, X.-N., Gohel, S., Kelly, C., Smith, S. M., Beckmann, C. F., Adelstein, J. S., Buckner, R. L., Colcombe, S., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0911855107 · Cited by 2,970
Self-citationSridharan, D., Levitin, D. J., & Menon, V. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0800005105 · Cited by 2,892
Buckner, R. L., Sepulcre, J., Talukdar, T., Krienen, F. M., Liu, H., Hedden, T., Andrews-Hanna, J. R., Sperling, R. A., & Johnson, K. A. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.5062-08.2009 · Cited by 2,862
Functional-anatomic fractionation of the brain’s default network
Andrews-Hanna, J. R., Reidler, J. S., Sepulcre, J., Poulin, R., & Buckner, R. L. (2010) · Neuron · doi:10.1016/j.neuron.2010.02.005 · Cited by 2,767
Probabilistic Independent Component Analysis for Functional Magnetic Resonance Imaging
Beckmann, C. F., & Smith, S. M. (2004) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2003.822821 · Cited by 2,715
Kirsch, I., Deacon, B. J., Huedo-Medina, T. B., Scoboria, A., Moore, T. J., & Johnson, B. T. (2008) · PLoS Medicine · doi:10.1371/journal.pmed.0050045 · Cited by 2,442
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Quintana, D. S., Alvares, G. A., & Heathers, J. A. J. (2016) · Translational Psychiatry · doi:10.1038/tp.2016.73 · Cited by 420
Yap, J. Y. Y., Keatch, C., Lambert, E., Woods, W., Stoddart, P. R., & Kameneva, T. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00284 · Cited by 432
Farmer, A. D., Strzelczyk, A., Finisguerra, A., Gourine, A. V., Gharabaghi, A., Hasan, A., Burger, A. M., Jaramillo, A. M., Mertens, A., Majid, A., et al. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.568051 · Cited by 355
Self-citationBreath of Life: The Respiratory Vagal Stimulation Model of Contemplative Activity
Gerritsen, R. J. S., & Band, G. P. H. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00397 · Cited by 342
Rong, P., Liu, J., Wang, L., Liu, R., Fang, J., Zhao, J., Zhao, Y., Wang, H., Vangel, M., Sun, S., et al. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.02.031 · Cited by 297
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Metadata
- Authors
- Fang, J., Rong, P., Hong, Y., Fan, Y., Liu, J., Wang, H., Zhang, G., Chen, X., Shi, S., Wang, L., Liu, R., Hwang, J., Li, Z., Tao, J., Wang, Y., Zhu, B., & Kong, J.
- Venue
- Biological Psychiatry
- Publisher
- Elsevier BV
- Published
- 2016-02
- Volume
- 79
- Issue
- 4
- Pages
- 266-273
- ISSN
- 0006-3223 (ISSN-L)
- OpenAlex
- W2014704049
- Cited by
- 408
- References
- 74
- FWCI
- 8.89
- Type
- journal article
- Language
- en
- Open access
- hybrid
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