Dataset Information

Functional Connectivity in Multiple Sclerosis: Recent Findings and Future Directions.

ABSTRACT: Multiple sclerosis is a debilitating disorder resulting from scattered lesions in the central nervous system. Because of the high variability of the lesion patterns between patients, it is difficult to relate existing biomarkers to symptoms and their progression. The scattered nature of lesions in multiple sclerosis offers itself to be studied through the lens of network analyses. Recent research into multiple sclerosis has taken such a network approach by making use of functional connectivity. In this review, we briefly introduce measures of functional connectivity and how to compute them. We then identify several common observations resulting from this approach: (a) high likelihood of altered connectivity in deep-gray matter regions, (b) decrease of brain modularity, (c) hemispheric asymmetries in connectivity alterations, and (d) correspondence of behavioral symptoms with task-related and task-unrelated networks. We propose incorporating such connectivity analyses into longitudinal studies in order to improve our understanding of the underlying mechanisms affected by multiple sclerosis, which can consequently offer a promising route to individualizing imaging-related biomarkers for multiple sclerosis.

SUBMITTER: Tahedl M

PROVIDER: S-EPMC6193088 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Publications

Functional Connectivity in Multiple Sclerosis: Recent Findings and Future Directions.

Tahedl Marlene M Levine Seth M SM Greenlee Mark W MW Weissert Robert R Schwarzbach Jens V JV

Frontiers in neurology 20181011

Multiple sclerosis is a debilitating disorder resulting from scattered lesions in the central nervous system. Because of the high variability of the lesion patterns between patients, it is difficult to relate existing biomarkers to symptoms and their progression. The scattered nature of lesions in multiple sclerosis offers itself to be studied through the lens of network analyses. Recent research into multiple sclerosis has taken such a network approach by making use of functional connectivity. ...[more]

PMID: 30364281

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Project description:BackgroundNeuroimmunology/multiple sclerosis is a rapidly evolving, but still poorly defined subspecialty. Fellowship training is not standardized, and there is substantial variability across sites. Outcomes of fellowship training have not yet been studied. We therefore examined early career choices of neuroimmunology/MS fellowship program graduates and solicited the perspective of current and recent trainees on their fellowship experience as well as opportunities to improve neuroimmunology education.MethodsWe developed a questionnaire to collect information about fellowship training experiences and current medical practice. We identified recent graduates based on records from US training programs and the National MS Society and electronically sent the survey to current trainees and recent graduates (within the last 5 years).ResultsWe identified 179 current/recent trainees and successfully reached 157 with survey distributions. Ninety-five individuals (60.5%) returned surveys. Most graduates assumed an academic practice (68%) focused mostly or exclusively on MS and other CNS neuroimmune diseases (55%), and practiced in regions where there were ≥5 other neuroimmunology specialists (51%). Graduates felt well-prepared to manage diagnoses of MS and neuromyelitis optica spectrum disorders but their comfort with rarer CNS neuroimmune diseases varied substantially. Basic immunology, neuro-rheumatology, grant writing and neuro-rehabilitation were identified as high impact areas for cross-disciplinary didactic training. The majority of recent trainees (57%) favored standardizing a core neuroimmunology curriculum, and 48% favored developing a subspecialty certification.ConclusionsThis is the first study to examine practice outcomes and trainee experiences for neuroimmunology training programs. We anticipate that these data will help educators define a core curriculum for the subspecialty and identify complementary skill sets that enhance the traditional clinic-based model of teaching.

Dataset Information

Functional Connectivity in Multiple Sclerosis: Recent Findings and Future Directions.

Publications

Functional Connectivity in Multiple Sclerosis: Recent Findings and Future Directions.

Similar Datasets

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