Recent advances in neuroimaging have provided unprecedented opportunities to study various brain organizational principles and to relate them to behaviour. By virtue of these efforts, research into
neurodevelopmental conditions has started to benefit from these cutting-edge techniques, extending the research tools towards multivariate analytical frameworks (so called ‘multi-view learning’). Compared to univariate analyses, multivariate approaches may provide higher sensitivity and integration power to summarize the complex data patterns from different modalities. Still, most neuroimaging research into neurodevelopmental conditions published to date has relied on single neuroimaging modalities, in isolation from each other. While this has yielded invaluable insights into neurodevelopmental conditions, there is still huge untapped potential for employing multi-modal approaches to unravel associated mechanisms behind these conditions, in which brain-level changes are associated with biological processes at multiple levels and scales, from genetics, protein expression and synapses to whole brain networks. Indeed, prior multimodal research promisingly demonstrated its strength, for instance, significantly increased prediction accuracy on symptoms when combining information from grey and white matter anatomy.
The goal of this Research Topic is to gain a deeper understanding of the neural underpinnings of neurodevelopmental conditions by moving towards an integrated characterization across different,
complementary neuroimaging and neurobiological modalities. We cover research studies into several neurodevelopmental conditions - such as autism, attention-deficit-hyperactivity disorder, intellectual disability - and their neural correlates assessed from multilevel data - from genetics to molecular biology and to system-level neuroimaging studies.
With this Research Topic, we aim to better understand shared etiological processes underlying various neurodevelopmental conditions.
This article collection will be inclusive of various neuroimaging (structural, functional-task, functional connectivity (resting-state and task-fMRI), EEG, MEG, PET, SPECT, NIRS), neurogenomic, neuroimmunology, and neuroendocrine methodologies and modalities, as well as of different neurodevelopmental conditions (e.g., autism, ADHD, dyslexia, developmental language disorder, intellectual disability, learning disorders, early psychosis, etc.).
We welcome Original Research articles involving human subjects and Review articles addressing the above aims.
Recent advances in neuroimaging have provided unprecedented opportunities to study various brain organizational principles and to relate them to behaviour. By virtue of these efforts, research into
neurodevelopmental conditions has started to benefit from these cutting-edge techniques, extending the research tools towards multivariate analytical frameworks (so called ‘multi-view learning’). Compared to univariate analyses, multivariate approaches may provide higher sensitivity and integration power to summarize the complex data patterns from different modalities. Still, most neuroimaging research into neurodevelopmental conditions published to date has relied on single neuroimaging modalities, in isolation from each other. While this has yielded invaluable insights into neurodevelopmental conditions, there is still huge untapped potential for employing multi-modal approaches to unravel associated mechanisms behind these conditions, in which brain-level changes are associated with biological processes at multiple levels and scales, from genetics, protein expression and synapses to whole brain networks. Indeed, prior multimodal research promisingly demonstrated its strength, for instance, significantly increased prediction accuracy on symptoms when combining information from grey and white matter anatomy.
The goal of this Research Topic is to gain a deeper understanding of the neural underpinnings of neurodevelopmental conditions by moving towards an integrated characterization across different,
complementary neuroimaging and neurobiological modalities. We cover research studies into several neurodevelopmental conditions - such as autism, attention-deficit-hyperactivity disorder, intellectual disability - and their neural correlates assessed from multilevel data - from genetics to molecular biology and to system-level neuroimaging studies.
With this Research Topic, we aim to better understand shared etiological processes underlying various neurodevelopmental conditions.
This article collection will be inclusive of various neuroimaging (structural, functional-task, functional connectivity (resting-state and task-fMRI), EEG, MEG, PET, SPECT, NIRS), neurogenomic, neuroimmunology, and neuroendocrine methodologies and modalities, as well as of different neurodevelopmental conditions (e.g., autism, ADHD, dyslexia, developmental language disorder, intellectual disability, learning disorders, early psychosis, etc.).
We welcome Original Research articles involving human subjects and Review articles addressing the above aims.