Test-retest Reliability of Intrinsic Human Brain Default-Mode fMRI Connectivity: Slice Acquisition and Physiological Noise Correction Effects

University of Trento 2016-04-29

This thesis aims at evaluating, in two separate studies, strategies for physiological noise and head motion correction in resting state brain FC-fMRI. In particular, as a general marker of noise correction performance we use the test-retest reproducibility of the DMN. The guiding hypothesis is that methods that improve reproducibility should reflect more efficient corrections and thus be preferable in longitudinal studies. The physiological denoising study evaluated longitudinal changes in a 3T harmonized multisite fMRI study of healthy elderly participants from the PharmaCog Consortium (Jovicich et al., 2016). Retrospective physiological noise correction (rPNC) methods were here implemented to investigate their influence on several DMN reliability measures within and between 13 MRI sites. Each site involved five different healthy elderly participants who were scanned twice at least a week apart (5 participants per site). fMRI data analysis was performed once without rPNC and then with WM/CSF regression, with physiological estimation by temporal ICA (PESTICA) (Beall & Lowe, 2007) and FMRIB's ICA-based Xnoiseifier (FSL-FIX) (Griffanti et al., 2014; Salimi-Khorshidi et al., 2014). These methods differ for their data-based computational approach to identify physiological noise fluctuations and need to be applied at different stages of data preprocessing. As a working hypothesis, physiological denoising was in general expected to improve DMN reliability. The head motion study evaluated longitudinal changes in the DMN connectivity from a 4T single-site study of 24 healthy young volunteers who were scanned twice within a week. Within each scanning session, RS-fMRI scans were acquired once using interleaved and then sequential slice-order acquisition methods. Furthermore, brain volumes were corrected for motion using once rigid-body volumetric and then slice-wise methods. The effects of these choices were then evaluated computing multiple DMN reliability measures and inves

ING-INF/03 TELECOMUNICAZIONI; M-PSI/02 PSICOBIOLOGIA E PSICOLOGIA FISIOLOGICA; MED/37 NEURORADIOLOGIA; FIS/07 FISICA APPLICATA (A BENI CULTURALI, AMBIENTALI, BIOLOGIA E MEDICINA); MED/36 DIAGNOSTICA PER IMMAGINI E RADIOTERAPIA; ING-INF/06 BIOINGEGNERIA ELETTRONICA E INFORMATICA; Doctoral Thesis; NonPeerReviewed

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Marchitelli, Rocco (2016) Test-retest Reliability of Intrinsic Human Brain Default-Mode fMRI Connectivity: Slice Acquisition and Physiological Noise Correction Effects. PhD thesis, University of Trento.
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