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About this Research Topic

Abstract Submission Deadline 21 February 2023
Manuscript Submission Deadline 21 June 2023

Neurodevelopmental disorders (NDD) are a group of conditions with onset in the developmental period, inducing deficits that produce impairments of functioning. This group of disorders includes intellectual disability (ID); Communication Disorders; Autism Spectrum Disorder (ASD); Attention-Deficit/Hyperactivity Disorder (ADHD); Neurodevelopmental Motor Disorders, including Tic Disorders; and Specific Learning Disorders. There is an increasing need for effective biomarkers of cognitive functioning in NDD, to achieve a prompt diagnosis, direct rehabilitation, monitor recovery and help prognostication. Growing targeted therapeutic approaches demand the development of new imaging biomarkers of disease to individualize patient care. Neuroimaging techniques are an ideal candidate to provide such biomarkers due to their wide diffusion, non-invasiveness, relatively contained costs, and capability of depicting brain structure and function.

This research topic aims to provide biomarkers of NDD through neuroimaging to help the diagnosis, follow-up and prognostication of these disorders. Despite extensive investigation over the past years, the precise cognitive dynamics underlying NDD remain to be fully clarified. Neuroimaging is showing promising results in capturing cognitive dynamics through functional and structural advanced techniques. Modern neuroscience recognizes cognition as the results of the interplay between cortical areas wired in complex networks, which can be studied through neuroimaging techniques. This research topic aims to put together different neuroimaging approaches to characterize NDD. Preference will be given to articles advancing the diagnosis of NDD, discovering new mechanisms of disease, developing new methods of imaging analysis as well as predictive models for disease onset and progression.

This research topic aims at characterizing neurodevelopmental disorders through neuroimaging biomarkers with diagnostic and prognostic value. The scope of the topic is to achieve a better understanding of the mechanism underlying cognitive symptoms, monitor treatment response and predict patients’ outcome in developmental disorders. Areas of interest include:

- Brain connectivity through fMRI and DTI techniques
- Brain metabolism through PET and hybrid imaging
- AI applications to neuroimaging of NDD
- Reviews summarizing main neuroimaging findings of NDD (articles exploring advanced techniques will be prioritized)

Keywords: Neuroimaging, MRI, AI, Brain, Autism Spectrum Disorder, Communication Disorder, ADHD, Intellectual Disabilities, Neurodevelopmental


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

Neurodevelopmental disorders (NDD) are a group of conditions with onset in the developmental period, inducing deficits that produce impairments of functioning. This group of disorders includes intellectual disability (ID); Communication Disorders; Autism Spectrum Disorder (ASD); Attention-Deficit/Hyperactivity Disorder (ADHD); Neurodevelopmental Motor Disorders, including Tic Disorders; and Specific Learning Disorders. There is an increasing need for effective biomarkers of cognitive functioning in NDD, to achieve a prompt diagnosis, direct rehabilitation, monitor recovery and help prognostication. Growing targeted therapeutic approaches demand the development of new imaging biomarkers of disease to individualize patient care. Neuroimaging techniques are an ideal candidate to provide such biomarkers due to their wide diffusion, non-invasiveness, relatively contained costs, and capability of depicting brain structure and function.

This research topic aims to provide biomarkers of NDD through neuroimaging to help the diagnosis, follow-up and prognostication of these disorders. Despite extensive investigation over the past years, the precise cognitive dynamics underlying NDD remain to be fully clarified. Neuroimaging is showing promising results in capturing cognitive dynamics through functional and structural advanced techniques. Modern neuroscience recognizes cognition as the results of the interplay between cortical areas wired in complex networks, which can be studied through neuroimaging techniques. This research topic aims to put together different neuroimaging approaches to characterize NDD. Preference will be given to articles advancing the diagnosis of NDD, discovering new mechanisms of disease, developing new methods of imaging analysis as well as predictive models for disease onset and progression.

This research topic aims at characterizing neurodevelopmental disorders through neuroimaging biomarkers with diagnostic and prognostic value. The scope of the topic is to achieve a better understanding of the mechanism underlying cognitive symptoms, monitor treatment response and predict patients’ outcome in developmental disorders. Areas of interest include:

- Brain connectivity through fMRI and DTI techniques
- Brain metabolism through PET and hybrid imaging
- AI applications to neuroimaging of NDD
- Reviews summarizing main neuroimaging findings of NDD (articles exploring advanced techniques will be prioritized)

Keywords: Neuroimaging, MRI, AI, Brain, Autism Spectrum Disorder, Communication Disorder, ADHD, Intellectual Disabilities, Neurodevelopmental


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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