Advances in Neural Basis of Infant Information Processing

A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Developmental Neuroscience".

Deadline for manuscript submissions: closed (5 January 2022) | Viewed by 3074

Special Issue Editors


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Guest Editor
Departments Psychology and Neuroscience, School of Social Science and Human Services, Ramapo College of New Jersey, Mahwah, NJ 07430, USA
Interests: attention; auditory processing and language based learning disorders; cognitive development; risk and resiliency in early childhood

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Guest Editor
Department of Psychology, Ramapo College of New Jersey, New Jersey, NJ 07430, USA
Interests: Perceptual-Motor Development; Prospective Control; Development of Social Cognition; Use of Social Information for Guiding Action; Problem Solving

Special Issue Information

Dear Colleagues,

Studies of infant information processing are broad and far-reaching. Research in this area spans from exploring how infants use statistical regularities to hone their perceptual abilities, to how an infant’s attention is distributed, and identifying the limits of working memory and representational competence. Individual differences in infant information processing are associated with the development of complex abilities in multiple domains, including language acquisition, motor skill attainment, social-emotional development, and academic achievement. Questions still remain about whether such continuity is qualitatively different in infancy as compared to childhood and beyond. The last two decades have seen rapid growth in studies assessing the neural basis of infant information processing. This is partly due to the development non-invasive infant-friendly technologies and partly bolstered by dynamical modeling techniques. These studies use state of the art methodologies (e.g., high density EEG/ERP, fMRI, MRI, NIRs) to address complex questions about the fundamental nature of brain-behavior relations in prenatal development and infancy and how this intricate interaction supports continuity and stability across the lifespan.

This Special Issue of Brain Science aims to bring together current evidence across domains (perception, attention, motor, memory, etc.) of infant information processing and cognition and developmental neuroscience to further understand the emergent properties of the brain that support and translate to behavior, concurrently and predictively. The common thread that binds this collection is the enduring interest in understanding the regularities (e.g., stability and continuity) of human development. The end goal is to not only account for a sizeable amount variance that predicts later abilities from the first 2 years of life, but to also to understand risk and resiliency and create better outcomes for children’s development.

We invite submissions that speak directly to brain-behavior associations in the first 2 years of life in typically and atypically developing populations. We welcome research articles related to advances in the neural basis of infant information processing. Please contact the Editors of this Special Issue with any pre-submission enquiries.

Prof. Naseem Choudhury
Prof. Shaziela Ishak
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Brain Sciences is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Infant Information processing
  • Infant cognition
  • Neural basis of brain and behavior
  • EEG
  • fMRI
  • NIR
  • Developmental Disability

Published Papers (1 paper)

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Review

12 pages, 561 KiB  
Review
Neuroimaging Techniques as Descriptive and Diagnostic Tools for Infants at Risk for Autism Spectrum Disorder: A Systematic Review
by Maria J. Ayoub, Laura Keegan, Helen Tager-Flusberg and Simone V. Gill
Brain Sci. 2022, 12(5), 602; https://0-doi-org.brum.beds.ac.uk/10.3390/brainsci12050602 - 05 May 2022
Cited by 8 | Viewed by 2628
Abstract
Autism Spectrum Disorder (ASD) has traditionally been evaluated and diagnosed via behavioral assessments. However, increasing research suggests that neuroimaging as early as infancy can reliably identify structural and functional differences between autistic and non-autistic brains. The current review provides a systematic overview of [...] Read more.
Autism Spectrum Disorder (ASD) has traditionally been evaluated and diagnosed via behavioral assessments. However, increasing research suggests that neuroimaging as early as infancy can reliably identify structural and functional differences between autistic and non-autistic brains. The current review provides a systematic overview of imaging approaches used to identify differences between infants at familial risk and without risk and predictive biomarkers. Two primary themes emerged after reviewing the literature: (1) neuroimaging methods can be used to describe structural and functional differences between infants at risk and infants not at risk for ASD (descriptive), and (2) neuroimaging approaches can be used to predict ASD diagnosis among high-risk infants and developmental outcomes beyond infancy (predicting later diagnosis). Combined, the articles highlighted that several neuroimaging studies have identified a variety of neuroanatomical and neurological differences between infants at high and low risk for ASD, and among those who later receive an ASD diagnosis. Incorporating neuroimaging into ASD evaluations alongside traditional behavioral assessments can provide individuals with earlier diagnosis and earlier access to supportive resources. Full article
(This article belongs to the Special Issue Advances in Neural Basis of Infant Information Processing)
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