Artículo
Towards affordable biomarkers of frontotemporal dementia: A classification study via network's information sharing
Dottori, Martin
; Sedeño, Lucas
; Martorell Caro, Miguel Angel
; Alifano, Florencia; Hesse Rizzi, Eugenia Fátima
; Mikulan, Ezequiel Pablo
; García, Adolfo Martín
; Ruiz Tagle, Amparo; Lillo, Patricia; Slachevsky, Andrea; Serrano, Cecilia Mariela; Fraiman Borrazás, Daniel Edmundo
; Ibañez, Agustin Mariano
Fecha de publicación:
12/2017
Editorial:
Nature Publishing Group
Revista:
Scientific Reports
ISSN:
2045-2322
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
Developing effective and affordable biomarkers for dementias is critical given the difficulty to achieve early diagnosis. In this sense, electroencephalographic (EEG) methods offer promising alternatives due to their low cost, portability, and growing robustness. Here, we relied on EEG signals and a novel information-sharing method to study resting-state connectivity in patients with behavioral variant frontotemporal dementia (bvFTD) and controls. To evaluate the specificity of our results, we also tested Alzheimer's disease (AD) patients. The classification power of the ensuing connectivity patterns was evaluated through a supervised classification algorithm (support vector machine). In addition, we compared the classification power yielded by (i) functional connectivity, (ii) relevant neuropsychological tests, and (iii) a combination of both. BvFTD patients exhibited a specific pattern of hypoconnectivity in mid-range frontotemporal links, which showed no alterations in AD patients. These functional connectivity alterations in bvFTD were replicated with a low-density EEG setting (20 electrodes). Moreover, while neuropsychological tests yielded acceptable discrimination between bvFTD and controls, the addition of connectivity results improved classification power. Finally, classification between bvFTD and AD patients was better when based on connectivity than on neuropsychological measures. Taken together, such findings underscore the relevance of EEG measures as potential biomarker signatures for clinical settings.
Palabras clave:
Bbiomarkers
,
Frontotemporal Dementia
,
Information Sharing
,
Eeg
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Identificadores
Colecciones
Articulos(OCA HOUSSAY)
Articulos de OFICINA DE COORDINACION ADMINISTRATIVA HOUSSAY
Articulos de OFICINA DE COORDINACION ADMINISTRATIVA HOUSSAY
Articulos(SEDE CENTRAL)
Articulos de SEDE CENTRAL
Articulos de SEDE CENTRAL
Citación
Dottori, Martin; Sedeño, Lucas; Martorell Caro, Miguel Angel; Alifano, Florencia; Hesse Rizzi, Eugenia Fátima; et al.; Towards affordable biomarkers of frontotemporal dementia: A classification study via network's information sharing; Nature Publishing Group; Scientific Reports; 7; 1; 12-2017; 1-12
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