A guide for the use of fNIRS in microcephaly associated to congenital Zika virus infection

Autor(es)

Sato, Joao Ricardo ^[1] ; Biazoli Junior, Claudinei Eduardo ^{[1, 2]} ; Medeiros de Araujo, Elidianne Layanne ^[3] ; Rodrigues, Julia de Souza ^[4] ; Andrade, Suellen Marinho ^[3]

Afiliação do(s) autor(es)

^[1] Fed Univ ABC, Ctr Math Comp & Cognit, Sao Bernardo Do Campo, SP - Brazil

^[2] Queen Mary Univ London, Dept Biol & Expt Psychol, London - England

^[3] Univ Fed Paraiba, Hlth Sci Ctr, Dept Phys Therapy, Lab Aging & Neurosci Studies, Joao Pessoa, Paraiba - Brazil

^[4] Univ Sao Paulo, Dept Prevent Med, Sao Paulo, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: SCIENTIFIC REPORTS; v. 11, n. 1 SEP 29 2021.
• Citações Web of Science: 0

Resumo

Congenital Zika Syndrome (CZS) is characterized by changes in cranial morphology associated with heterogeneous neurological manifestations and cognitive and behavioral impairments. In this syndrome, longitudinal neuroimaging could help clinicians to predict developmental trajectories of children and tailor treatment plans accordingly. However, regularly acquiring magnetic resonance imaging (MRI) has several shortcomings besides cost, particularly those associated with childrens' clinical presentation as sensitivity to environmental stimuli. The indirect monitoring of local neural activity by non-invasive functional near-infrared spectroscopy (fNIRS) technique can be a useful alternative for longitudinally accessing the brain function in children with CZS. In order to provide a common framework for advancing longitudinal neuroimaging assessment, we propose a principled guideline for fNIRS acquisition and analyses in children with neurodevelopmental disorders. Based on our experience on collecting fNIRS data in children with CZS we emphasize the methodological challenges, such as clinical characteristics of the sample, desensitization, movement artifacts and environment control, as well as suggestions for tackling such challenges. Finally, metrics based on fNIRS can be associated with established clinical metrics, thereby opening possibilities for exploring this tool as a long-term predictor when assessing the effectiveness of treatments aimed at children with severe neurodevelopmental disorders. (AU)

• Processo FAPESP: 18/04654-9 - Séries temporais, ondaletas e dados de alta dimensão
• Beneficiário: Pedro Alberto Morettin
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Processo FAPESP: 18/21934-5 - Estatística de redes: teoria, métodos e aplicações
• Beneficiário: André Fujita
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Processo FAPESP: 20/13425-3 - Fatores de risco e proteção para o desenvolvimento das funções executivas na adolescência: coorte de nascimento de Pelotas 2004
• Beneficiário: Julia de Souza Rodrigues
• Modalidade de apoio: Bolsas no Brasil - Doutorado Direto