Descrizione del progetto
Pratico indicatore per deficit cognitivi numerici
I deficit di elaborazione numerica sono relativamente comuni ma raramente valutati, sebbene altamente disabilitanti. Considerato che l’accesso alle apparecchiature di immaginografia neurale ad alta tecnologia è raro nella maggior parte delle pratiche cliniche, è necessaria una tecnica diagnostica affidabile e di bassa tecnologia. Le azioni sono cose che possiamo osservare e caratterizzare in modo relativamente facile. Il progetto GRINP, finanziato dall’UE, sta verificando se le stesse reti sensomotorie che si attivano durante il raggiungimento e la comprensione siano coinvolte anche nell’elaborazione numerica. In tal caso, i medici possono utilizzare il comportamento per valutare i pazienti per i deficit cognitivi numerici.
Obiettivo
Grasping and Reaching In Number Processing (GRINP) is focused on the study of the neural underpinnings of number processing and its impairment. Number-related deficits can dramatically affect everyday life. Nonetheless, this impairment is often marginally considered in clinical practice, possibly because the complex nature of numerical disorders makes their diagnosis and rehabilitation quite hard. GRINP builds upon action-based theories of cognition - considering many aspects of human cognition as built on motor action - and on the idea that the neural bases for abstract concepts representation are networks of functionally-related recycled mechanisms. Through a comprehensive approach which couples clinical (neuropsychological) with neuroimaging methods (magnetoencephalography), GRINP tests whether number magnitude recruits the same sensorimotor network involved in planning and executing hand movements. GRINP is timely because it relates the cognitive aspects of number and action with the study of their neural dynamics; GRINP is innovative because it promotes at different levels (scientific, clinical, societal) an action-based approach for the understanding of cognitive impairment. GRINP is based on the convergence between the solid expertise of the Fellow in numerical cognition and behavioural research methods, and the long lasting tradition of the Host in neuropsychological and neuroimaging training and research. GRINP will allow the Fellow to restart research in her native country after more than five years of international research/teaching experience and a maternity break. Thanks to the planned training on advanced neuropsychological (voxel-based lesion symptom mapping, brain tractography) and neuroimaging methods (functional connectivity) the Fellow will broaden her expertise from experimental psychology to cognitive neuroscience, putting the bases for a successful long-term career plan.
Campo scientifico
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
Parole chiave
Programma(i)
Argomento(i)
Meccanismo di finanziamento
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinatore
35122 Padova
Italia