BACKGROUND: Brain disconnection plays a major role in determining cognitive disabilities in multiple sclerosis (MS). We recently developed a novel diffusion-weighted magnetic resonance imaging (DW-MRI) tractography approach, namely anatomical connectivitity mapping (ACM), that quantifies structural brain connectivity. OBJECTIVE: Use of ACM to assess structural connectivity modifications in MS brains and ascertain their relationship with the patients' Paced-Auditory-Serial-Addition-Test (PASAT) scores. METHODS: Relapsing-remitting MS (RRMS) patients (n = 25) and controls (n = 25) underwent MRI at 3T, including conventional images, T1-weighted volumes and DW-MRI. Volumetric scans were coregistered to fractional anisotropy (FA) images, to obtain parenchymal FA maps for both white and grey matter. We initiated probabilistic tractography from all parenchymal voxels, obtaining ACM maps by counting the number of streamlines passing through each voxel, then normalizing by the total number of streamlines initiated. The ACM maps were transformed into standard space, for statistical use. RESULTS: RRMS patients had reduced grey matter volume and FA, consistent with previous literature. Also, we showed reduced ACM in the thalamus and in the head of the caudate nucleus, bilaterally. In our RRMS patients, ACM was associated with PASAT scores in the corpus callosum, right hippocampus and cerebellum. CONCLUSIONS: ACM opens a new perspective, clarifying the contribution of anatomical brain disconnection to clinical disabilities in MS.

Bozzali, M., Spanò, B., Parker, G., Giulietti, G., Castelli, M., Basile, B., et al. (2013). Anatomical brain connectivity can assess cognitive dysfunction in multiple sclerosis. MULTIPLE SCLEROSIS.

Anatomical brain connectivity can assess cognitive dysfunction in multiple sclerosis

NOCENTINI, UGO;CALTAGIRONE, CARLO;CENTONZE, DIEGO;
2013-01-16

Abstract

BACKGROUND: Brain disconnection plays a major role in determining cognitive disabilities in multiple sclerosis (MS). We recently developed a novel diffusion-weighted magnetic resonance imaging (DW-MRI) tractography approach, namely anatomical connectivitity mapping (ACM), that quantifies structural brain connectivity. OBJECTIVE: Use of ACM to assess structural connectivity modifications in MS brains and ascertain their relationship with the patients' Paced-Auditory-Serial-Addition-Test (PASAT) scores. METHODS: Relapsing-remitting MS (RRMS) patients (n = 25) and controls (n = 25) underwent MRI at 3T, including conventional images, T1-weighted volumes and DW-MRI. Volumetric scans were coregistered to fractional anisotropy (FA) images, to obtain parenchymal FA maps for both white and grey matter. We initiated probabilistic tractography from all parenchymal voxels, obtaining ACM maps by counting the number of streamlines passing through each voxel, then normalizing by the total number of streamlines initiated. The ACM maps were transformed into standard space, for statistical use. RESULTS: RRMS patients had reduced grey matter volume and FA, consistent with previous literature. Also, we showed reduced ACM in the thalamus and in the head of the caudate nucleus, bilaterally. In our RRMS patients, ACM was associated with PASAT scores in the corpus callosum, right hippocampus and cerebellum. CONCLUSIONS: ACM opens a new perspective, clarifying the contribution of anatomical brain disconnection to clinical disabilities in MS.
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore MED/26 - Neurologia
eng
Con Impact Factor ISI
2013 Jan 16. [Epub ahead of print]
http://msj.sagepub.com/content/early/2013/01/16/1352458512474088
Bozzali, M., Spanò, B., Parker, G., Giulietti, G., Castelli, M., Basile, B., et al. (2013). Anatomical brain connectivity can assess cognitive dysfunction in multiple sclerosis. MULTIPLE SCLEROSIS.
Bozzali, M; Spanò, B; Parker, G; Giulietti, G; Castelli, M; Basile, B; Rossi, S; Serra, L; Magnani, G; Nocentini, U; Caltagirone, C; Centonze, D; Cercignani, M
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2108/73427
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