Alvino Bisecco

Prof. Dr. Alvino Bisecco

orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 January 2011 in Multiple Sclerosis Journal
Verified
Journal Article
Closed access
PDF file
SBSimona Bonavita
Simona Bonavita
AGAntonio Gallo
Antonio Gallo
RSRosaria Sacco
Rosaria Sacco
MCMarida Della Corte
Marida Della Corte
ABAlvino Bisecco
Alvino Bisecco
GTGioacchino Tedeschi
Gioacchino Tedeschi
Background: The default-mode network (DMN) has been increasingly recognized as relevant to cognitive status.

19 January 2016 in European Journal of Neurology
Verified
Journal Article
Closed access
PDF file
RSRosaria Sacco
Rosaria Sacco
GSGabriella Santangelo
Gabriella Santangelo
SSS. Stamenova
S. Stamenova
ABAlvino Bisecco
Alvino Bisecco
SBS. Bonavita
S. Bonavita
AGA. Gallo
A. Gallo

2 February 2016 in Human Brain Mapping
Verified
Journal Article
Closed access
PDF file
PPPaolo Preziosa
Paolo Preziosa
MRMaria A. Rocca
Maria A. Rocca
EPElisabetta Pagani
Elisabetta Pagani
MSMaria Laura Stromillo
Maria Laura Stromillo
CEChristian Enzinger
Christian Enzinger
TGthe MAGNIMS Study Group
the MAGNIMS Study Group

12 October 2014 in Journal of Neurology
Verified
Journal Article
Closed access
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Simona BonavitaSimona Bonavita
Simona Bonavita
RSR. Sacco
R. Sacco
MCM. Della Corte
M. Della Corte
FTFrancesca Trojsi
Francesca Trojsi
MSM. Sparaco
M. Sparaco
GTG. Tedeschi
G. Tedeschi

29 September 2016 in American Journal of Neuroradiology
Verified
Journal Article
Open access
PDF file
DDD. Damjanovic
D. Damjanovic
PVP. Valsasina
P. Valsasina
MRM.A. Rocca
M.A. Rocca
MSM.L. Stromillo
M.L. Stromillo
AGA. Gallo
A. Gallo
Massimo FilippiMassimo Filippi
Massimo Filippi
BACKGROUND AND PURPOSE: The structural MR imaging correlates of cognitive impairment in multiple sclerosis are still debated. This study assessed lesional and atrophy measures of white matter and gray matter involvement in patients with MS acquired in 7 European sites to identify the MR imaging variables most closely associated with cognitive dysfunction. MATERIALS AND METHODS: Brain dual-echo, 3D T1-weighted, and double inversion recovery scans were acquired at 3T from 62 patients with relapsing-remitting MS and 65 controls. Patients with at least 2 neuropsychological tests with abnormal findings were considered cognitively impaired. Focal WM and cortical lesions were identified, and volumetric measures from WM, cortical GM, the hippocampus, and deep GM nuclei were obtained. Age- and site-adjusted models were used to compare lesion and volumetric MR imaging variables between patients with MS who were cognitively impaired and cognitively preserved. A multivariate analysis identified MR imaging variables associated with cognitive scores and disability. RESULTS: Twenty-three patients (38%) were cognitively impaired. Compared with those with who were cognitively preserved, patients with MS with cognitive impairment had higher T2 and T1 lesion volumes and a trend toward a higher number of cortical lesions. Significant brain, cortical GM, hippocampal, deep GM nuclei, and WM atrophy was found in patients with MS with cognitive impairment versus those who were cognitively preserved. Hippocampal and deep GM nuclei atrophy were the best predictors of cognitive impairment, while WM atrophy was the best predictor of disability. CONCLUSIONS: Hippocampal and deep GM nuclei atrophy are key factors associated with cognitive impairment in MS. These MR imaging measures could be applied in a multicenter context, with cognition as clinical outcome.

14 April 2015 in Human Brain Mapping
Verified
Journal Article
Closed access
PDF file
ABAlvino Bisecco
Alvino Bisecco
MRMaria A. Rocca
Maria A. Rocca
EPElisabetta Pagani
Elisabetta Pagani
LMLaura Mancini
Laura Mancini
CEChristian Enzinger
Christian Enzinger
MNMagnims Network
Magnims Network