BRAINCODE for Cognitive Impairment Diagnosis in Older Adults: Designing a Case–Control Pilot Study

Pedro Rocha, Paulina Clara Dagnino, Ronan O’Sullivan, Aureli Soria-Frisch and Constança Paúl
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Pedro Rocha: Departamento de Ciências do Comportamento, ICBAS—Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, Rua Jorge de Viterbo Ferreira, 228, 4050-313 Porto, Portugal
Paulina Clara Dagnino: Starlab Barcelona SL, Neuroscience Business Unit, Avda. Tibidabo 47 bis, 08035 Barcelona, Spain
Ronan O’Sullivan: Centre for Gerontology and Rehabilitation, School of Medicine, University College Cork, College Road, T12 K8AF Cork, Ireland
Aureli Soria-Frisch: Starlab Barcelona SL, Neuroscience Business Unit, Avda. Tibidabo 47 bis, 08035 Barcelona, Spain
Constança Paúl: Departamento de Ciências do Comportamento, ICBAS—Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, Rua Jorge de Viterbo Ferreira, 228, 4050-313 Porto, Portugal

IJERPH, 2022, vol. 19, issue 9, 1-9

Abstract: An early, extensive, accurate, and cost-effective clinical diagnosis of neurocognitive disorders will have advantages for older people and their families, but also for the health and care systems sustainability and performance. BRAINCODE is a technology that assesses cognitive impairment in older people, differentiating normal from pathologic brain condition, based in an EEG biomarkers evaluation. This paper will address BRAINCODE’s pilot design, which intends to validate its efficacy, to provide guidelines for future studies and to allow its integration on the SHAPES platform. It is expected that BRAINCODE confirms a regular clinical diagnosis and neuropsychologic tests to discriminate ‘normal’ from pathologic cognitive decline and differentiates mild cognitive impairment from dementia in older adults with/without subjective cognitive complains.

Keywords: healthy ageing; neurocognitive disorders; dementia; mild cognitive impairment; EEG diagnosis; medical devices; digital health (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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