Dataset Information

Do positive or negative stressful events predict the development of new brain lesions in people with multiple sclerosis?

ABSTRACT: Stressful life events have long been suspected to contribute to multiple sclerosis (MS) disease activity. The few studies examining the relationship between stressful events and neuroimaging markers have been small and inconsistent. This study examined whether different types of stressful events and perceived stress could predict the development of brain lesions.This was a secondary analysis of 121 patients with MS followed for 48 weeks during a randomized controlled trial comparing stress management therapy for MS (SMT-MS) to a waitlist control (WLC). Patients underwent magnetic resonance imaging (MRI) scans every 8 weeks. Every month, patients completed an interview measure assessing stressful life events and self-report measures of perceived stress, anxiety and depressive symptoms, which were used to predict the presence of gadolinium-enhancing (Gd+) and T2 lesions on MRI scans 29-62 days later. Participants classified stressful events as positive or negative. Negative events were considered 'major' if they involved physical threat or threat to the patient's family structure, and 'moderate' otherwise.Positive stressful events predicted decreased risk for subsequent Gd+ lesions in the control group [odds ratio (OR) 0.53 for each additional positive stressful event, 95% confidence interval (CI) 0.30-0.91] and less risk for new or enlarging T2 lesions regardless of group assignment (OR 0.74, 95% CI 0.55-0.99). Across groups, major negative stressful events predicted Gd+ lesions (OR 1.77, 95% CI 1.18-2.64) and new or enlarging T2 lesions (OR 1.57, 95% CI 1.11-2.23) whereas moderate negative stressful events, perceived stress, anxiety and depressive symptoms did not.Major negative stressful events predict increased risk for Gd+ and T2 lesions whereas positive stressful events predict decreased risk.

SUBMITTER: Burns MN

PROVIDER: S-EPMC4123859 | biostudies-literature | 2014 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Do positive or negative stressful events predict the development of new brain lesions in people with multiple sclerosis?

Burns M N MN Nawacki E E Kwasny M J MJ Pelletier D D Mohr D C DC

Psychological medicine 20130517 2

<h4>Background</h4>Stressful life events have long been suspected to contribute to multiple sclerosis (MS) disease activity. The few studies examining the relationship between stressful events and neuroimaging markers have been small and inconsistent. This study examined whether different types of stressful events and perceived stress could predict the development of brain lesions.<h4>Method</h4>This was a secondary analysis of 121 patients with MS followed for 48 weeks during a randomized contr ...[more]

PMID: 23680407

Similar Datasets

Project description:The location and extent of white matter lesions on magnetic resonance imaging (MRI) are important criteria for diagnosis, follow-up and prognosis of multiple sclerosis (MS). Clinical trials have shown that quantitative values, such as lesion volumes, are meaningful in MS prognosis. Manual lesion delineation for the segmentation of lesions is, however, time-consuming and suffers from observer variability. In this paper, we propose MSmetrix, an accurate and reliable automatic method for lesion segmentation based on MRI, independent of scanner or acquisition protocol and without requiring any training data. In MSmetrix, 3D T1-weighted and FLAIR MR images are used in a probabilistic model to detect white matter (WM) lesions as an outlier to normal brain while segmenting the brain tissue into grey matter, WM and cerebrospinal fluid. The actual lesion segmentation is performed based on prior knowledge about the location (within WM) and the appearance (hyperintense on FLAIR) of lesions. The accuracy of MSmetrix is evaluated by comparing its output with expert reference segmentations of 20 MRI datasets of MS patients. Spatial overlap (Dice) between the MSmetrix and the expert lesion segmentation is 0.67 ± 0.11. The intraclass correlation coefficient (ICC) equals 0.8 indicating a good volumetric agreement between the MSmetrix and expert labelling. The reproducibility of MSmetrix' lesion volumes is evaluated based on 10 MS patients, scanned twice with a short interval on three different scanners. The agreement between the first and the second scan on each scanner is evaluated through the spatial overlap and absolute lesion volume difference between them. The spatial overlap was 0.69 ± 0.14 and absolute total lesion volume difference between the two scans was 0.54 ± 0.58 ml. Finally, the accuracy and reproducibility of MSmetrix compare favourably with other publicly available MS lesion segmentation algorithms, applied on the same data using default parameter settings.

Dataset Information

Do positive or negative stressful events predict the development of new brain lesions in people with multiple sclerosis?

Publications

Do positive or negative stressful events predict the development of new brain lesions in people with multiple sclerosis?

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets