Evaluating multicenter DTI data in Huntington's disease on site specific effects: An ex post facto approach☆

نویسندگان

  • Hans-Peter Müller
  • Georg Grön
  • Reiner Sprengelmeyer
  • Jan Kassubek
  • Albert C. Ludolph
  • Nicola Hobbs
  • James Cole
  • Raymund A.C. Roos
  • Alexandra Duerr
  • Sarah J. Tabrizi
  • G. Bernhard Landwehrmeyer
  • Sigurd D. Süssmuth
چکیده

PURPOSE Assessment of the feasibility to average diffusion tensor imaging (DTI) metrics of MRI data acquired in the course of a multicenter study. MATERIALS AND METHODS Sixty-one early stage Huntington's disease patients and forty healthy controls were studied using four different MR scanners at four European sites with acquisition protocols as close as possible to a given standard protocol. The potential and feasibility of averaging data acquired at different sites was evaluated quantitatively by region-of-interest (ROI) based statistical comparisons of coefficients of variation (CV) across centers, as well as by testing for significant group-by-center differences on averaged fractional anisotropy (FA) values between patients and controls. In addition, a whole-brain based statistical between-group comparison was performed using FA maps. RESULTS The ex post facto statistical evaluation of CV and FA-values in a priori defined ROIs showed no differences between sites above chance indicating that data were not systematically biased by center specific factors. CONCLUSION Averaging FA-maps from DTI data acquired at different study sites and different MR scanner types does not appear to be systematically biased. A suitable recipe for testing on the possibility to pool multicenter DTI data is provided to permit averaging of DTI-derived metrics to differentiate patients from healthy controls at a larger scale.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Cognitive Neurodynamic Approach to Prediction of Students’ Adaptation to College: An Ex-Post Facto Study

Introduction: Campus life tends to make social and academic demands on college students. To cope with these demands, students are required to use their neurocognitive skills of problem- solving and planning intentional actions that target towards adaptation to college. This paper presents an illuminating perspective that would inform understanding of a new approach to cognitive neuroscience. Th...

متن کامل

Major Superficial White Matter Abnormalities in Huntington's Disease

BACKGROUND The late myelinating superficial white matter at the juncture of the cortical gray and white matter comprising the intracortical myelin and short-range association fibers has not received attention in Huntington's disease. It is an area of the brain that is late myelinating and is sensitive to both normal aging and neurodegenerative disease effects. Therefore, it may be sensitive to ...

متن کامل

Robust MR-based approaches to quantifying white matter structure and structure/function alterations in Huntington's disease

BACKGROUND Huge advances have been made in understanding and addressing confounds in diffusion MRI data to quantify white matter microstructure. However, there has been a lag in applying these advances in clinical research. Some confounds are more pronounced in HD which impedes data quality and interpretability of patient-control differences. This study presents an optimised analysis pipeline a...

متن کامل

Behavioral study of effects of mesenchymal stem cells transplant on motor deficits improvement in animal model of Huntington\'s disease

Introduction: As an inherited neurodegenerative disease, Huntington's disease is accompanied with wide neuronal degeneration in neostriatum and neocortex. Progress of the disease causes disabling clinical effects on movements, recognition and physiology of the body, and finally results in death. At this stage of knowledge we are, there is no effective therapeutic strategy for diminishing the mo...

متن کامل

Robust Automated Detection of Microstructural White Matter Degeneration in Alzheimer’s Disease Using Machine Learning Classification of Multicenter DTI Data

Diffusion tensor imaging (DTI) based assessment of white matter fiber tract integrity can support the diagnosis of Alzheimer's disease (AD). The use of DTI as a biomarker, however, depends on its applicability in a multicenter setting accounting for effects of different MRI scanners. We applied multivariate machine learning (ML) to a large multicenter sample from the recently created framework ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره 2  شماره 

صفحات  -

تاریخ انتشار 2013