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Evaluation of PASAT test performance and diffusivity indices in U-fiber regions in healthy subjects and RRMS patients.

Cristian Andrés Montalba^1,2,3, Tomás Labbe^4,5, Marcelo Andia^1,2,3, Miguel Guevara⁶, Jean-François Mangin⁷, Juan Pablo Cruz², Ethel Ciampi^8,9, Claudia Carcamo^5,8, Pamela Guevara⁶, and Sergio Uribe^1,2,3
¹Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Santiago, Chile, ²Radiology Department, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile, ³Millennium Nucleus for Cardiovascular Magnetic Resonance, Santiago, Chile, ⁴School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile, ⁵Interdisciplinary Center of Neurosciences, Pontificia Universidad Católica de Chile, Santiago, Chile, ⁶Faculty of Engineering, Universidad de Concepción, Concepción, Chile, ⁷UNATI, Neurospin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France, ⁸Neurology Department, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile, ⁹Neurology Service, Hospital Dr. Sótero del Río, Santiago, Chile

PASAT test scores are significantly linear related to Frontal, Temporal, and Parietal cortical areas in healthy subjects. There is no linear relationship between PASAT test scores and diffusivity maps in RRMS patients.

Figure 2. Healthy subject results: Upper: Bar and error plots, and Under: Table of U-fiber labels.

Figure 1. Processing steps realized to obtain the U-fiber diffusivity maps (FA, MD, RD, and AD). (i) Segmentation of Diffusivity maps, using DSI Studio software. (ii) Coregistration between diffusivity maps and T1w-3D image. (iii) Normalization of T1w-3D image to the MNI space. (iv) The deformation matrix of the Normalized T1w-3D image was applied to the U-fiber masks in order to adapt to the diffusivity maps (Inverse normalization). (v) Application of the LNAO-SWM79 Atlas mask to each patient’s diffusivity map.