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Ketamine or Electroconvulsive Therapy as Treatment Approach to Severe Depression : The Necessity of More Personalized Management

Rad, Pouya Movahed LU and Takamiya, Akihiro (2025) In Neuromethods 225. p.245-261
Abstract

Depression is a debilitating psychiatric disorder. Electroconvulsive therapy (ECT) and ketamine are effective treatments for severe depression, but target populations may differ. Systematic reviews on the few available trials show higher remission rates with ECT than with ketamine. Nonetheless, ketamine’s rapid onset of action is comparable to ECT but with less cognitive adverse effects. This makes ketamine a valuable option, particularly in outpatients or when ECT is unavailable. ECT and ketamine differ in side effects: ECT induces transient cognitive impairments, while ketamine commonly causes dissociative symptoms. Clinical factors can guide choices for ECT versus ketamine. Older patients and those with psychotic symptoms tend to... (More)

Depression is a debilitating psychiatric disorder. Electroconvulsive therapy (ECT) and ketamine are effective treatments for severe depression, but target populations may differ. Systematic reviews on the few available trials show higher remission rates with ECT than with ketamine. Nonetheless, ketamine’s rapid onset of action is comparable to ECT but with less cognitive adverse effects. This makes ketamine a valuable option, particularly in outpatients or when ECT is unavailable. ECT and ketamine differ in side effects: ECT induces transient cognitive impairments, while ketamine commonly causes dissociative symptoms. Clinical factors can guide choices for ECT versus ketamine. Older patients and those with psychotic symptoms tend to respond better to ECT, while younger patients with longer episode duration may benefit similarly from ketamine. Although biological variables and brain imaging results hold promise as biomarkers to predict treatment outcomes, implementation in everyday practice remains limited due to inconsistent findings and technical challenges. This review underscores the importance of personalized approaches to managing severe depression, advocating the integration of clinical predictors with patient-specific characteristics to improve treatment outcomes.

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Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
keywords
Antidepressant effects, Clinical predictors, Cognitive side effects, Electroconvulsive therapy (ECT), Major depressive disorder, Personalized treatment, Racemic ketamine
host publication
Ketamine : Pain Management, Critical Care, Depression, and Resource-Poor Settings - Pain Management, Critical Care, Depression, and Resource-Poor Settings
series title
Neuromethods
volume
225
pages
17 pages
publisher
Humana Press Inc.
external identifiers
  • scopus:105013094771
ISSN
1940-6045
0893-2336
DOI
10.1007/978-1-0716-4599-4_16
language
English
LU publication?
yes
id
c6edc7ef-f9cd-44b8-91c1-db2193d145fd
date added to LUP
2026-01-09 09:02:20
date last changed
2026-01-09 09:02:53
@inbook{c6edc7ef-f9cd-44b8-91c1-db2193d145fd,
  abstract     = {{<p>Depression is a debilitating psychiatric disorder. Electroconvulsive therapy (ECT) and ketamine are effective treatments for severe depression, but target populations may differ. Systematic reviews on the few available trials show higher remission rates with ECT than with ketamine. Nonetheless, ketamine’s rapid onset of action is comparable to ECT but with less cognitive adverse effects. This makes ketamine a valuable option, particularly in outpatients or when ECT is unavailable. ECT and ketamine differ in side effects: ECT induces transient cognitive impairments, while ketamine commonly causes dissociative symptoms. Clinical factors can guide choices for ECT versus ketamine. Older patients and those with psychotic symptoms tend to respond better to ECT, while younger patients with longer episode duration may benefit similarly from ketamine. Although biological variables and brain imaging results hold promise as biomarkers to predict treatment outcomes, implementation in everyday practice remains limited due to inconsistent findings and technical challenges. This review underscores the importance of personalized approaches to managing severe depression, advocating the integration of clinical predictors with patient-specific characteristics to improve treatment outcomes.</p>}},
  author       = {{Rad, Pouya Movahed and Takamiya, Akihiro}},
  booktitle    = {{Ketamine : Pain Management, Critical Care, Depression, and Resource-Poor Settings}},
  issn         = {{1940-6045}},
  keywords     = {{Antidepressant effects; Clinical predictors; Cognitive side effects; Electroconvulsive therapy (ECT); Major depressive disorder; Personalized treatment; Racemic ketamine}},
  language     = {{eng}},
  pages        = {{245--261}},
  publisher    = {{Humana Press Inc.}},
  series       = {{Neuromethods}},
  title        = {{Ketamine or Electroconvulsive Therapy as Treatment Approach to Severe Depression : The Necessity of More Personalized Management}},
  url          = {{http://dx.doi.org/10.1007/978-1-0716-4599-4_16}},
  doi          = {{10.1007/978-1-0716-4599-4_16}},
  volume       = {{225}},
  year         = {{2025}},
}