Cognitive decline prognosis in multiple sclerosis: effectiveness of a computerized cognitive training treatment on cortical reorganization

Progress
16%
Period
01/09/20 to 31/12/23

(i) Utilize state-of-the-art neuroimaging and network science measures to more thoroughly understand neural indices of cognitive impairment in MS patients (i.e. identify decline transition points along the continuum of cognitive capacity); (ii) Evaluate the efficacy for treating MS-associated cognitive deficits using a computerized cognitive training treatment by determining the differences, between subjects treated with cognitive training an subjects receiving no training for 12 weeks, on network science measures indexing network efficiency or collapse and on the performance of a battery of neuropsychological tests that are frequently impaired in MS; (iii) Investigate the dissociation of the cortical mechanisms related to training-induced plasticity and maladaptive reorganization (namely separate good from bad), by taking into account the homeostatic capacity of the human organism as a whole and thus examining whether the correlation of the neurophysiological and cognitive indices with longitudinal digital biomarkers and electronic Patient Reported Outcome Measures (ePROMs) can reliably capture the underlying pathology.

Project Type: 
Leader
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