MRI and Automated Surface Mesh Modeling Analysis Reveal Changes in Brain Anatomy in Women with Multiple Sclerosis and Depression
By MedImaging International staff writers Posted on 13 Feb 2014 |

Image: MS Atrophy. Brain images showing location of hippocampus and its sub-regions in the brain. Bar graph shows atrophy within these specific hippocampal subregions. Black bars represent the control group; white bars represent people with MS who are not depressed; striped bars represent people with MS and depression (Photo courtesy of University of California - Los Angeles).
A multicenter team of US investigators are using a new, automated technique to identify shrinkage of a mood-regulating brain structure in a large study sample of women with multiple sclerosis (MS), who also have a specific type of depression.
Women with MS, in the study, and symptoms of “depressive affect,” such as depressed mood and loss of interest, were found to have reduced size of the right hippocampus. The left hippocampus remained unchanged and other types of depression, such as vegetative depression, which can bring about extreme fatigue, did not correlate with hippocampal size reduction, according to an article published in the January 2014 issue of the journal Human Brain Mapping.
This new study, led by Cedars-Sinai Medical Center (Los Angeles, CA, USA) neurologist Nancy Sicotte, MD, an expert in multiple sclerosis (MS) and cutting-edge imaging techniques, confirms earlier research suggesting that the hippocampus may be a contributor to the high frequency of depression in MS. Furthermore, it also revealed that a computer imaging technique called automated surface mesh modeling can promptly identify thickness alterations in subregions of the hippocampus. Before this, the process required a labor-intensive manual analysis of magnetic resonance imaging (MRI) images.
Dr. Sicotte, the article’s senior author, and others have earlier found evidence of tissue loss in the hippocampus, however, the changes could only be validated in manual tracings of a set of special high-resolution MRI images. The new application can use more easily obtainable MRI scans and it automates the brain mapping process. “Patients with medical disorder and in particular, those with inflammatory diseases such as MS, often suffer from depression, which can cause fatigue. But not all fatigue is caused by depression. We believe that while fatigue and depression often co-occur in patients with MS, they may be brought about by different biological mechanisms. Our studies are designed to help us better understand how MS-related depression differs from other types, improve diagnostic imaging systems to make them more widely available and efficient, and create better, more individualized treatments for our patients,” said Dr. Sicotte, director of Cedars-Sinai’s Multiple Sclerosis Program and the Neurology Residency Program.
Related Links:
Cedars-Sinai Medical Center
Women with MS, in the study, and symptoms of “depressive affect,” such as depressed mood and loss of interest, were found to have reduced size of the right hippocampus. The left hippocampus remained unchanged and other types of depression, such as vegetative depression, which can bring about extreme fatigue, did not correlate with hippocampal size reduction, according to an article published in the January 2014 issue of the journal Human Brain Mapping.
This new study, led by Cedars-Sinai Medical Center (Los Angeles, CA, USA) neurologist Nancy Sicotte, MD, an expert in multiple sclerosis (MS) and cutting-edge imaging techniques, confirms earlier research suggesting that the hippocampus may be a contributor to the high frequency of depression in MS. Furthermore, it also revealed that a computer imaging technique called automated surface mesh modeling can promptly identify thickness alterations in subregions of the hippocampus. Before this, the process required a labor-intensive manual analysis of magnetic resonance imaging (MRI) images.
Dr. Sicotte, the article’s senior author, and others have earlier found evidence of tissue loss in the hippocampus, however, the changes could only be validated in manual tracings of a set of special high-resolution MRI images. The new application can use more easily obtainable MRI scans and it automates the brain mapping process. “Patients with medical disorder and in particular, those with inflammatory diseases such as MS, often suffer from depression, which can cause fatigue. But not all fatigue is caused by depression. We believe that while fatigue and depression often co-occur in patients with MS, they may be brought about by different biological mechanisms. Our studies are designed to help us better understand how MS-related depression differs from other types, improve diagnostic imaging systems to make them more widely available and efficient, and create better, more individualized treatments for our patients,” said Dr. Sicotte, director of Cedars-Sinai’s Multiple Sclerosis Program and the Neurology Residency Program.
Related Links:
Cedars-Sinai Medical Center
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.jpeg)
AI-Powered Lung Ultrasound Outperforms Human Experts in Tuberculosis Diagnosis
Despite global declines in tuberculosis (TB) rates in previous years, the incidence of TB rose by 4.6% from 2020 to 2023. Early screening and rapid diagnosis are essential elements of the World Health... Read more
AI Identifies Heart Valve Disease from Common Imaging Test
Tricuspid regurgitation is a condition where the heart's tricuspid valve does not close completely during contraction, leading to backward blood flow, which can result in heart failure. A new artificial... Read moreNuclear Medicine
view channel
Novel Radiolabeled Antibody Improves Diagnosis and Treatment of Solid Tumors
Interleukin-13 receptor α-2 (IL13Rα2) is a cell surface receptor commonly found in solid tumors such as glioblastoma, melanoma, and breast cancer. It is minimally expressed in normal tissues, making it... Read more
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 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