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Technologies to support the diagnosis and/or treatment of neurodevelopmental disorders: A systematic review.
Previously Marzena Szkodo, Marzena Oliveira Ribas; Micai, Martina; Caruso, Angela; Fulceri, Francesca; Fazio, Maria; Scattoni, Maria Luisa.
  • Previously Marzena Szkodo MOR; Research Coordination and Support Service, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Rome, Italy. Electronic address: marzena.szkodo@iss.it.
  • Micai M; Research Coordination and Support Service, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Rome, Italy. Electronic address: martina.micai@iss.it.
  • Caruso A; Research Coordination and Support Service, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Rome, Italy. Electronic address: angela.caruso@iss.it.
  • Fulceri F; Research Coordination and Support Service, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Rome, Italy. Electronic address: francesca.fulceri@iss.it.
  • Fazio M; Department of Mathematics, Computer Science, Physics and Earth Sciences (MIFT), University of Messina, Viale F. Stagno d'Alcontres, 31, 98166 Messina, Italy. Electronic address: marialuisa.scattoni@iss.it.
  • Scattoni ML; Research Coordination and Support Service, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Rome, Italy. Electronic address: maria.fazio@unime.it.
Neurosci Biobehav Rev ; 145: 105021, 2023 02.
Article in English | MEDLINE | ID: covidwho-2270072
ABSTRACT
In recent years, there has been a great interest in utilizing technology in mental health research. The rapid technological development has encouraged researchers to apply technology as a part of a diagnostic process or treatment of Neurodevelopmental Disorders (NDDs). With the large number of studies being published comes an urgent need to inform clinicians and researchers about the latest advances in this field. Here, we methodically explore and summarize findings from studies published between August 2019 and February 2022. A search strategy led to the identification of 4108 records from PubMed and APA PsycInfo databases. 221 quantitative studies were included, covering a wide range of technologies used for diagnosis and/or treatment of NDDs, with the biggest focus on Autism Spectrum Disorder (ASD). The most popular technologies included machine learning, functional magnetic resonance imaging, electroencephalogram, magnetic resonance imaging, and neurofeedback. The results of the review indicate that technology-based diagnosis and intervention for NDD population is promising. However, given a high risk of bias of many studies, more high-quality research is needed.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Attention Deficit Disorder with Hyperactivity / Neurodevelopmental Disorders / Autism Spectrum Disorder Type of study: Diagnostic study / Observational study / Prognostic study / Reviews / Systematic review/Meta Analysis Limits: Humans Language: English Journal: Neurosci Biobehav Rev Year: 2023 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Attention Deficit Disorder with Hyperactivity / Neurodevelopmental Disorders / Autism Spectrum Disorder Type of study: Diagnostic study / Observational study / Prognostic study / Reviews / Systematic review/Meta Analysis Limits: Humans Language: English Journal: Neurosci Biobehav Rev Year: 2023 Document Type: Article