Structural MRI Can Help Predict Outcomes of Electroconvulsive Therapy
By MedImaging International staff writers Posted on 01 Jun 2016 |

Image: A patient undergoing ECT treatment, which involves using small electric currents to trigger a short seizure in the brain (Photo courtesy of BBC Newsnight).
Results from a non-randomized prospective study have shown that neuro-imaging techniques can be used to predict the therapeutic effectiveness of ElectroConvulsive Therapy (ECT) in individuals.
ECT therapy treatment involves intentionally triggering a short seizure in the brain using small electric currents, and is performed under general anesthesia. The procedure can be used to treat certain mental illnesses, including acute major depressive disorder.
The research was published online in the May 4, 2016, issue of the journal JAMA Psychiatry. The goal of the researchers from the University of Muenster (Muenster, Germany) was to find out whether structural Magnetic Resonance Imaging (MRI) could identify biomarkers that could accurately predict the response to ECT treatment.
In the study, the structure of grey matter of inpatients from Department of Psychiatry at the University of Muenster was assessed twice using a 3-T MRI scanner and voxel-based morphometry, at intervals of approximately 6 weeks. The study took place between March 11, 2010, and March 27, 2015. The patients included two groups with acute major depressive disorder, one of which received a series of ECT treatments and antidepressants (n = 24). The second group was treated with antidepressants (n = 23) alone. The researchers then compared both groups with a healthy control group (n = 21).
The researchers found that successful treatment with ECT therapy could be linked to a relatively small degree of structural impairment in the sub-genual cingulate cortex observed in neuroimaging before treatment.
Related Links:
University of Muenster
ECT therapy treatment involves intentionally triggering a short seizure in the brain using small electric currents, and is performed under general anesthesia. The procedure can be used to treat certain mental illnesses, including acute major depressive disorder.
The research was published online in the May 4, 2016, issue of the journal JAMA Psychiatry. The goal of the researchers from the University of Muenster (Muenster, Germany) was to find out whether structural Magnetic Resonance Imaging (MRI) could identify biomarkers that could accurately predict the response to ECT treatment.
In the study, the structure of grey matter of inpatients from Department of Psychiatry at the University of Muenster was assessed twice using a 3-T MRI scanner and voxel-based morphometry, at intervals of approximately 6 weeks. The study took place between March 11, 2010, and March 27, 2015. The patients included two groups with acute major depressive disorder, one of which received a series of ECT treatments and antidepressants (n = 24). The second group was treated with antidepressants (n = 23) alone. The researchers then compared both groups with a healthy control group (n = 21).
The researchers found that successful treatment with ECT therapy could be linked to a relatively small degree of structural impairment in the sub-genual cingulate cortex observed in neuroimaging before treatment.
Related Links:
University of Muenster
Latest MRI News
- AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans
- Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
- AI-Powered MRI Technology Improves Parkinson’s Diagnoses
- Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
- First-Of-Its-Kind AI-Driven Brain Imaging Platform to Better Guide Stroke Treatment Options
- New Model Improves Comparison of MRIs Taken at Different Institutions
- Groundbreaking New Scanner Sees 'Previously Undetectable' Cancer Spread
- First-Of-Its-Kind Tool Analyzes MRI Scans to Measure Brain Aging
- AI-Enhanced MRI Images Make Cancerous Breast Tissue Glow
- AI Model Automatically Segments MRI Images
- New Research Supports Routine Brain MRI Screening in Asymptomatic Late-Stage Breast Cancer Patients
- Revolutionary Portable Device Performs Rapid MRI-Based Stroke Imaging at Patient's Bedside
- AI Predicts After-Effects of Brain Tumor Surgery from MRI Scans
- MRI-First Strategy for Prostate Cancer Detection Proven Safe
- First-Of-Its-Kind 10' x 48' Mobile MRI Scanner Transforms User and Patient Experience
- New Model Makes MRI More Accurate and Reliable
Channels
Radiography
view channel
World's Largest Class Single Crystal Diamond Radiation Detector Opens New Possibilities for Diagnostic Imaging
Diamonds possess ideal physical properties for radiation detection, such as exceptional thermal and chemical stability along with a quick response time. Made of carbon with an atomic number of six, diamonds... Read more
AI-Powered Imaging Technique Shows Promise in Evaluating Patients for PCI
Percutaneous coronary intervention (PCI), also known as coronary angioplasty, is a minimally invasive procedure where small metal tubes called stents are inserted into partially blocked coronary arteries... Read moreUltrasound
view channel
Ultrasound-Based Microscopy Technique to Help Diagnose Small Vessel Diseases
Clinical ultrasound, commonly used in pregnancy scans, provides real-time images of body structures. It is one of the most widely used imaging techniques in medicine, but until recently, it had little... Read more
Smart Ultrasound-Activated Immune Cells Destroy Cancer Cells for Extended Periods
Chimeric antigen receptor (CAR) T-cell therapy has emerged as a highly promising cancer treatment, especially for bloodborne cancers like leukemia. This highly personalized therapy involves extracting... Read moreNuclear Medicine
view channel
Novel PET Imaging Approach Offers Never-Before-Seen View of Neuroinflammation
COX-2, an enzyme that plays a key role in brain inflammation, can be significantly upregulated by inflammatory stimuli and neuroexcitation. Researchers suggest that COX-2 density in the brain could serve... Read more
Novel Radiotracer Identifies Biomarker for Triple-Negative Breast Cancer
Triple-negative breast cancer (TNBC), which represents 15-20% of all breast cancer cases, is one of the most aggressive subtypes, with a five-year survival rate of about 40%. Due to its significant heterogeneity... Read moreGeneral/Advanced Imaging
view channel
AI-Powered Imaging System Improves Lung Cancer Diagnosis
Given the need to detect lung cancer at earlier stages, there is an increasing need for a definitive diagnostic pathway for patients with suspicious pulmonary nodules. However, obtaining tissue samples... Read more
AI Model Significantly Enhances Low-Dose CT Capabilities
Lung cancer remains one of the most challenging diseases, making early diagnosis vital for effective treatment. Fortunately, advancements in artificial intelligence (AI) are revolutionizing lung cancer... Read moreImaging IT
view channel
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read more
Patient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more