The DOI matches its Crossref record; 79 of the 80 references it cites were found in a registry or an index.
Structural Plasticity of the Hippocampus and Amygdala Induced by Electroconvulsive Therapy in Major Depression
Open accessAbstract
Background Electroconvulsive therapy (ECT) elicits a rapid and robust clinical response in patients with refractory depression. Neuroimaging measures of structural plasticity relating to and predictive of ECT response may point to the mechanisms underlying rapid antidepressant effects and establish biomarkers to inform other treatments. Here, we determine the effects of 1) diagnosis and 2) ECT on global and local variations of hippocampal and amygdalar structure in major depression and predictors of ECT-related clinical response Methods Longitudinal changes in hippocampal and amygdala structure were examined in patients with major depression (N= 43, scanned thrice; prior to ECT, after the 2nd ECT session, and within one week of completing the ECT treatment series) referred for ECT as part of their standard clinical care. Cross-sectional comparisons with demographically similar controls (N= 32, scanned twice) established effects of diagnosis. Results Patients showed smaller hippocampal volumes compared to controls at baseline (p<.04). Both hippocampal and amygdalar volumes increased with ECT (p<.001) and in relation to symptom improvement (p<.01). Hippocampal volume at baseline predicted subsequent clinical response (p<.05). Shape analysis revealed pronounced morphometric changes in the anterior hippocampus and basolateral and centromedial amygdala. All structural measures remained stable across time in controls. Conclusions ECT induced neuroplasticity in the hippocampus and amygdala relates to improved clinical response and is pronounced in regions with prominent connections to ventromedial prefrontal cortex and other limbic structures. Smaller hippocampal volumes at baseline predict a more robust clinical response. Neurotrophic processes including neurogenesis shown in preclinical studies may underlie these structural changes.
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“Recent clinical studies showed that electroconvulsive therapy (ECT) promoted structural plasticity including increased volume and morphometric changes in the hippocampus and the amygdala along with improved clinical responses, especially in patients with a smaller hippocampal volume (Joshi et al. 2016; Nordanskog et al. 2010; Tendulkar et al. 2013).”
From Neurotrophic factors and neuroplasticity pathways in the pathophysiology and treatment of depression (2018) · cites this paper as Joshi et al. 2016
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Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
The assessment and analysis of handedness: The Edinburgh inventory
Oldfield, R. C. (1971) · Neuropsychologia · doi:10.1016/0028-3932(71)90067-4 · Cited by 35,900
Hamilton, M. (1960) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.23.1.56 · Cited by 32,817
(1998) · The Journal of Clinical Psychiatry · Cited by 19,139
A new depression scale designed to be sensitive to change
Montgomery, S. A., & Åsberg, M. (1979) · British Journal of Psychiatry · doi:10.1192/bjp.134.4.382 · Cited by 13,962
Jenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002) · NeuroImage · doi:10.1006/nimg.2002.1132 · Cited by 11,888
(1998) · PubMed · Cited by 10,216
Fischl, B., Salat, D. H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., van der Kouwe, A., Killiany, R., Kennedy, D., Klaveness, S., et al. (2002) · Neuron · doi:10.1016/s0896-6273(02)00569-x · Cited by 8,610
Molecular Mechanisms of Depression: Perspectives on New Treatment Strategies
Lang, U. E., & Borgwardt, S. (2013) · Cellular Physiology and Biochemistry · doi:10.1159/000350094 · Cited by 8,526
A nonparametric method for automatic correction of intensity nonuniformity in MRI data
Sled, J. G., Zijdenbos, A. P., & Evans, A. C. (1998) · IEEE Transactions on Medical Imaging · doi:10.1109/42.668698 · Cited by 4,731
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Qiao, H., Li, M.-X., Xu, C. S., Chen, H.-B., An, S.-C., & Ma, X. (2016) · Neural Plasticity · doi:10.1155/2016/8056370 · Cited by 463
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Self-citationPrediction of electroconvulsive therapy response and remission in major depression: meta-analysis
van Diermen, L., van den Ameele, S., Kamperman, A. M., Sabbe, B., Vermeulen, T., Schrijvers, D. L., & Birkenhäger, T. K. (2018) · The British Journal of Psychiatry · doi:10.1192/bjp.2017.28 · Cited by 344
Metadata
- Authors
- Joshi, S. H., Espinoza, R. T., Pirnia, T., Shi, J., Wang, Y., Ayers, B., Leaver, A., Woods, R. P., & Narr, K. L.
- Affiliations
- University of California, Los Angeles (US)
- Arizona State University (US)
- Corresponding author
- Narr, Katherine L.
- ORCID
- Venue
- Biological Psychiatry
- Publisher
- Elsevier BV
- Published
- 2016-02
- Volume
- 79
- Issue
- 4
- Pages
- 282-292
- ISSN
- 0006-3223 (ISSN-L)
- PMC
- PMC4561035
- OpenAlex
- W2030957288
- Semantic Scholar
- dbc2079d218eb4354800e786a0bc85e1722ca84e
- Cited by
- 320
- References
- 80
- Citations by year
- 2026: 16 · 2025: 18 · 2024: 29 · 2023: 22 · 2022: 23 · 2021: 38 · 2020: 28 · 2019: 43 · 2018: 37 · 2017: 32 · 2016: 25
- FWCI
- 27.84
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Biological Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institute of Mental Health (R01MH092301, K24MH102743)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Electroconvulsive Therapy Studies
- Health Sciences › Medicine › Pharmacology (medical) › Treatment of Major Depression
- Life Sciences › Neuroscience › Neurology › Transcranial Magnetic Stimulation Studies
- Keywords
- electroconvulsive therapy, major depressive disorder, hippocampus, amygdala, structural plasticity, hippocampal volume, amygdala volume, neuroimaging biomarkers, basolateral amygdala, centromedial amygdala, ventromedial prefrontal cortex, neurogenesis
- MeSH terms
- Adult, Amygdala, Cross-Sectional Studies, Major Depressive Disorder, Electroconvulsive Therapy, Female, Hippocampus, Humans, Male, Middle Aged, Neuronal Plasticity, Psychiatric Status Rating Scales, Treatment Outcome, Depressive Disorder, Treatment-Resistant
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