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A guide for the use of fNIRS in microcephaly associated to congenital Zika virus infection.
Sato, João Ricardo; Junior, Claudinei Eduardo Biazoli; de Araújo, Elidianne Layanne Medeiros; de Souza Rodrigues, Júlia; Andrade, Suellen Marinho.
Affiliation
  • Sato JR; Center of Mathematics, Computing, and Cognition, Federal University of ABC, São Bernardo do Campo, SP, Brazil.
  • Junior CEB; Center of Mathematics, Computing, and Cognition, Federal University of ABC, São Bernardo do Campo, SP, Brazil.
  • de Araújo ELM; Department of Biological and Experimental Psychology, Queen Mary University of London, London, UK.
  • de Souza Rodrigues J; Laboratory of Aging and Neuroscience Studies, Department of Physical Therapy, Health Sciences Center, Federal University of Paraíba, João Pessoa, PA, Brazil.
  • Andrade SM; Department of Preventive Medicine, University of São Paulo, São Paulo, SP, Brazil.
Sci Rep ; 11(1): 19270, 2021 09 29.
Article in En | MEDLINE | ID: mdl-34588470
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Spectroscopy, Near-Infrared / Functional Neuroimaging / Neurodevelopmental Disorders / Zika Virus Infection / Microcephaly Type of study: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Child, preschool / Humans / Male Country/Region as subject: America do sul / Brasil Language: En Journal: Sci Rep Year: 2021 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Spectroscopy, Near-Infrared / Functional Neuroimaging / Neurodevelopmental Disorders / Zika Virus Infection / Microcephaly Type of study: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Child, preschool / Humans / Male Country/Region as subject: America do sul / Brasil Language: En Journal: Sci Rep Year: 2021 Document type: Article Affiliation country: Country of publication: