NDLI: Improving the clinical potential of ultra-high field fMRI using a model-free analysis method based on response consistency.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Cardoso, Pedro Lima Fischmeister, Florian Ph S. Dymerska, Barbara Geißler, Alexander Wurnig, Moritz Trattnig, Siegfried Beisteiner, Roland Robinson, Simon Daniel
Description	Country affiliation: Austria Author Affiliation: Cardoso PL ( Department of Biomedical Imaging and Image-guided Therapy, High Field Magnetic Resonance Centre, Medical University of Vienna, Lazarettgasse 14/BT32, 1090, Vienna, Austria.); Fischmeister FP ( Study Group Clinical fMRI, Department of Neurology, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.); Dymerska B ( Department of Biomedical Imaging and Image-guided Therapy, High Field Magnetic Resonance Centre, Medical University of Vienna, Lazarettgasse 14/BT32, 1090, Vienna, Austria.); Geißler A ( Study Group Clinical fMRI, Department of Neurology, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.); Wurnig M ( Study Group Clinical fMRI, Department of Neurology, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.); Trattnig S ( Department of Biomedical Imaging and Image-guided Therapy, High Field Magnetic Resonance Centre, Medical University of Vienna, Lazarettgasse 14/BT32, 1090, Vienna, Austria.); Beisteiner R ( Study Group Clinical fMRI, Department of Neurology, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.); Robinson SD ( Department of Biomedical Imaging and Image-guided Therapy, High Field Magnetic Resonance Centre, Medical University of Vienna, Lazarettgasse 14/BT32, 1090, Vienna, Austria. simon.robinson@meduniwien.ac.at.)
Abstract	OBJECTIVE: To develop an analysis method that is sensitive to non-model-conform responses often encountered in ultra-high field presurgical planning fMRI. Using the consistency of time courses over a number of experiment repetitions, it should exclude low quality runs and generate activation maps that reflect the reliability of responses. MATERIALS AND METHODS: 7 T fMRI data were acquired from six healthy volunteers: three performing purely motor tasks and three a visuomotor task. These were analysed with the proposed approach (UNBIASED) and the GLM. RESULTS: UNBIASED results were generally less affected by false positive results than the GLM. Runs that were identified as being of low quality were confirmed to contain little or no activation. In two cases, regions were identified as activated in UNBIASED but not GLM results. Signal changes in these areas were time-locked to the task, but were delayed or transient. CONCLUSION: UNBIASED is shown to be a reliable means of identifying consistent task-related signal changes regardless of response timing. In presurgical planning, UNBIASED could be used to rapidly generate reliable maps of the consistency with which eloquent brain regions are activated without recourse to task timing and despite modified hemodynamics.
File Format	HTM / HTML
ISSN	09685243
e-ISSN	13528661
DOI	10.1007/s10334-016-0533-8
Journal	Magnetic Resonance Materials in Physics, Biology and Medicine
Issue Number	3
Volume Number	29
Language	English
Publisher	Springer
Publisher Date	2016-06-01
Publisher Place	Germany
Access Restriction	Open
Subject Keyword	Discipline Diagnostic Imaging
Content Type	Text
Resource Type	Article
Subject	Radiology, Nuclear Medicine and Imaging Biophysics Radiological and Ultrasound Technology

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