2019
DOI: 10.1016/j.brs.2018.11.017
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Electroconvulsive therapy induced gray matter increase is not necessarily correlated with clinical data in depressed patients

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Cited by 51 publications
(39 citation statements)
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References 59 publications
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“…a direct comparison between remitted patients and non-remitted patients) may be meaningful. Although it is speculative, structural plasticity in the CA4/DG may not be the sufficient change, but the necessary change for clinical remission [33]. Another possibility for discrepancies includes a difference in the clinical characteristics of participants.…”
Section: Ect-induced Volume Increase and Agementioning
confidence: 99%
“…a direct comparison between remitted patients and non-remitted patients) may be meaningful. Although it is speculative, structural plasticity in the CA4/DG may not be the sufficient change, but the necessary change for clinical remission [33]. Another possibility for discrepancies includes a difference in the clinical characteristics of participants.…”
Section: Ect-induced Volume Increase and Agementioning
confidence: 99%
“…However, some studies did establish a positive correlation between hippocampal volume change and clinical outcome 61,70,71 . Several other studies did not find this effect or identified even a negative correlation 7,69,7275 . It is possible that hippocampal volume increase following ECT is related more to the electrical current or to the seizure aspect of the treatment, rather than to its therapeutic effects 7 .…”
Section: Discussionmentioning
confidence: 93%
“…In particular, the gray matter volumetric enlargements may not be predictive of a favorable outcome, though this was partially attributed to the heterogeneity among patients and the procedure and apparatus used (Ousdal et al, 2019). Moreover, a retrospective study revealed that though gray matter was enlarged, the changes may not correlate with psychopathology, age, gender, or number of ECT sessions (Sartorius et al, 2019), as did a longitudinal study of severe late-life unipolar depression (Bouckaert et al, 2016).…”
Section: Clinical Observation By Medical Imaging Programsmentioning
confidence: 99%