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Structural changes induced by electroconvulsive therapy are associated with clinical outcome
- Source :
- Mulders, P C R, Llera, A, Beckmann, C F, Vandenbulcke, M, Stek, M, Sienaert, P, Redlich, R, Petrides, G, Oudega, M L, Oltedal, L, Oedegaard, K J, Narr, K L, Magnusson, P O, Kessler, U, Jorgensen, A, Espinoza, R, Enneking, V, Emsell, L, Dols, A, Dannlowski, U, Bolwig, T G, Bartsch, H, Argyelan, M, Anand, A, Abbott, C C, van Eijndhoven, P F P & Tendolkar, I 2020, ' Structural changes induced by electroconvulsive therapy are associated with clinical outcome ', Brain Stimulation, vol. 13, no. 3, pp. 696-704 . https://doi.org/10.1016/j.brs.2020.02.020, Mulders, P C R, Llera, A, Beckmann, C F, Vandenbulcke, M, Stek, M, Sienaert, P, Redlich, R, Petrides, G, Oudega, M L, Oltedal, L, Oedegaard, K J, Narr, K L, Magnusson, P O, Kessler, U, Jorgensen, A, Espinoza, R, Enneking, V, Emsell, L, Dols, A, Dannlowski, U, Bolwig, T G, Bartsch, H, Argyelan, M, Anand, A, Abbott, C C, van Eijndhoven, P F P & Tendolkar, I 2020, ' Structural changes induced by electroconvulsive therapy are associated with clinical outcome ', Brain stimulation, vol. 13, no. 3, pp. 696-704 . https://doi.org/10.1016/j.brs.2020.02.020, Brain Stimulation, 13, 3, pp. 696-704, Brain Stimulation, Vol 13, Iss 3, Pp 696-704 (2020), Brain Stimulation, 13, 696-704, Brain Stimulation, Brain stimulation, 13(3), 696-704. Elsevier Inc.
- Publication Year :
- 2020
-
Abstract
- BACKGROUND: Electroconvulsive therapy (ECT) is the most effective treatment option for major depressive disorder, so understanding whether its clinical effect relates to structural brain changes is vital for current and future antidepressant research. OBJECTIVE: To determine whether clinical response to ECT is related to structural volumetric changes in the brain as measured by structural magnetic resonance imaging (MRI) and, if so, which regions are related to this clinical effect. We also determine whether a similar model can be used to identify regions associated with electrode placement (unilateral versus bilateral ECT). METHODS: Longitudinal MRI and clinical data (Hamilton Depression Rating Scale) was collected from 10 sites as part of the Global ECT-MRI research collaboration (GEMRIC). From 192 subjects, relative changes in 80 (sub)cortical areas were used as potential features for classifying treatment response. We used recursive feature elimination to extract relevant features, which were subsequently used to train a linear classifier. As a validation, the same was done for electrode placement. We report accuracy as well as the structural coefficients of regions included in the discriminative spatial patterns obtained. RESULTS: A pattern of structural changes in cortical midline, striatal and lateral prefrontal areas discriminates responders from non-responders (75% accuracy, p
- Subjects :
- Male
medicine.medical_treatment
Medizin
Stress-related disorders Donders Center for Medical Neuroscience [Radboudumc 13]
Linear classifier
0302 clinical medicine
Electroconvulsive therapy
Discriminative model
Longitudinal Studies
Depression (differential diagnoses)
SCALE
MAJOR DEPRESSIVE DISORDER
ABNORMALITIES
Depression
General Neuroscience
05 social sciences
Brain
220 Statistical Imaging Neuroscience
FUNCTIONAL CONNECTIVITY
Middle Aged
Magnetic Resonance Imaging
Treatment Outcome
Feature (computer vision)
Major depressive disorder
Antidepressant
Female
Life Sciences & Biomedicine
MRI
Adult
medicine.medical_specialty
HIPPOCAMPAL VOLUME
Biophysics
Clinical Neurology
050105 experimental psychology
lcsh:RC321-571
NEUROGENESIS
03 medical and health sciences
Physical medicine and rehabilitation
Rating scale
medicine
Humans
0501 psychology and cognitive sciences
lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry
GRAY-MATTER VOLUME
METAANALYSIS
Aged
Depressive Disorder, Major
Science & Technology
Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7]
business.industry
Neurosciences
medicine.disease
DEFAULT-MODE
Neurology (clinical)
Neurosciences & Neurology
RESTING-STATE
business
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 1935861X
- Volume :
- 13
- Database :
- OpenAIRE
- Journal :
- Brain Stimulation
- Accession number :
- edsair.doi.dedup.....ed607bb54b7250e782d1101e3e74d60f