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Principal Investigator  
Principal Investigator's Name: Matteo Chieregato
Institution: Fondazione Poliambulanza, Brescia, Italy
Department: Fisica Sanitaria
Proposed Analysis: Deep neural networks in the evaluation of patients with cognitive impairment The diagnosis of Alzheimer’s disease (AD) in the last years is becoming more and more based on biomarkers, both neuroimaging and biochemical based. Magnetic Resonance Imaging gives information on neuronal loss, and it is an integral part of clinical evaluation of patients with suspected AD. On the other hand, the efficacy of the biochemical based cerebrospinal fluid based biomarkers in monitoring brain amyloidosis (e.g. with the Ab42/40 ratio) and neurodegeneration (e.g. with the microtubule associated tau protein) is today quite well established. The goal of this work is to develop and validate a deep learning algorithm (in particular, different Convolutive Neural Network variants will be tested) that, combining multimodal MRI imaging (T1 and T2 sequences) and non-image based biomarkers (in particular CSF based) allows an accurate classification of patients in three groups: healthy controls (HC), mild cognitive impairment affected (MCI) and claimed Alzheimer’s disease cases (AD). In the MCI group, the two different subgroups of late and early Alzheimer’s disease developers (l-MCI and e-MCI) could be distinguished as well.
Additional Investigators