Brain activity and medical diagnosis: an EEG study

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art_RIBAS_Brain_activity_and_medical_diagnosis_an_EEG_study_2013.PDF (2.11 MB)
Citações na Scopus
6
Tipo de produção
article
Data de publicação
2013
Editora
BIOMED CENTRAL LTD
DOI
Indexadores
Scopus
Web of Science
PubMed
Título da Revista
ISSN da Revista
Título do Volume
Autores
ROCHA, Fabio Theoto
ROCHA, Armando Freitas da
Autor de Grupo de pesquisa
Editores
Coordenadores
Organizadores
Citação
BMC NEUROSCIENCE, v.14, article ID 109, 15p, 2013
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
Background: Despite new brain imaging techniques that have improved the study of the underlying processes of human decision-making, to the best of our knowledge, there have been very few studies that have attempted to investigate brain activity during medical diagnostic processing. We investigated brain electroencephalography (EEG) activity associated with diagnostic decision-making in the realm of veterinary medicine using X-rays as a fundamental auxiliary test. EEG signals were analysed using Principal Components (PCA) and Logistic Regression Analysis Results: The principal component analysis revealed three patterns that accounted for 85% of the total variance in the EEG activity recorded while veterinary doctors read a clinical history, examined an X-ray image pertinent to a medical case, and selected among alternative diagnostic hypotheses. Two of these patterns are proposed to be associated with visual processing and the executive control of the task. The other two patterns are proposed to be related to the reasoning process that occurs during diagnostic decision-making. Conclusions: PCA analysis was successful in disclosing the different patterns of brain activity associated with hypothesis triggering and handling (pattern P-1); identification uncertainty and prevalence assessment (pattern P-3), and hypothesis plausibility calculation (pattern P-2); Logistic regression analysis was successful in disclosing the brain activity associated with clinical reasoning success, and together with regression analysis showed that clinical practice reorganizes the neural circuits supporting clinical reasoning.
Palavras-chave
Medical diagnosis, EEG analysis, Brain mapping, Human cognition
URI
https://observatorio.fm.usp.br/handle/OPI/4085
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Coleções
Artigos e Materiais de Revistas Científicas - FM/MLS
Artigos e Materiais de Revistas Científicas - HC/ICHC
Artigos e Materiais de Revistas Científicas - LIM/01
Artigos e Materiais de Revistas Científicas - LIM/26