How will developmental neuroimaging contribute to the prediction of neurodevelopmental or psychiatric disorders? Challenges and opportunities

Successful developmental neuroimaging efforts require interdisciplinary expertise to ground scientific questions in knowledge of human development, modify and create technologies and data processing pipelines suited to the young brain, and ensure research procedures meet the needs and protect the interests of young children and their caregivers. This paper brings together four interdisciplinary perspectives to tackle a set of questions that are central for the field to address as we imagine a future role for developmental neuroimaging in the prediction of neurodevelopmental or psychiatric disorders: 1) How do we generate a strong evidence base for causality and clinical relevance? 2) How do we ensure the integrity of the data and support fair and wide access? 3) How can these technologies be implemented in the clinic? 4) What are the ethical obligations for neuroimaging researchers working with infants and young children?

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Publication Details

Journal
Developmental Cognitive Neuroscience
Published
2024-12-12
DOI
https://doi.org/10.1016/j.dcn.2024.101490
Citations
4
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
1.37

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article

How will developmental neuroimaging contribute to the prediction of neurodevelopmental or psychiatric disorders? Challenges and opportunities

Mary E. Dozier, Koraly Pérez‐Edgar, Katherine E. MacDuffie, Rebecca Saxe
4 citations
Developmental Cognitive Neuroscience
Autism Spectrum Disorder Research
1.37
article

How will developmental neuroimaging contribute to the prediction of neurodevelopmental or psychiatric disorders? Challenges and opportunities

Mary E. Dozier, Koraly Pérez‐Edgar, Katherine E. MacDuffie, Rebecca Saxe
article en
4 citations

Abstract

Successful developmental neuroimaging efforts require interdisciplinary expertise to ground scientific questions in knowledge of human development, modify and create technologies and data processing pipelines suited to the young brain, and ensure research procedures meet the needs and protect the interests of young children and their caregivers. This paper brings together four interdisciplinary perspectives to tackle a set of questions that are central for the field to address as we imagine a future role for developmental neuroimaging in the prediction of neurodevelopmental or psychiatric disorders: 1) How do we generate a strong evidence base for causality and clinical relevance? 2) How do we ensure the integrity of the data and support fair and wide access? 3) How can these technologies be implemented in the clinic? 4) What are the ethical obligations for neuroimaging researchers working with infants and young children?

Developmental Cognitive NeuroscienceVol. 71
Pennsylvania State University (US), Institute of Cognitive and Brain Sciences (US), Seattle Children's Hospital (US), University of Delaware (US), Hologic (Germany) (DE)
National Institutes of Health
Openalex Percentile: Top 19%
Autism Spectrum Disorder Research
1.37
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