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Published on: December 18, 2016
Functional magnetic resonance imaging
Frédérique Liégeois1, Rachael Elward2
1Cognitive Neuroscience and Neuropsychiatry Section, Great Ormond Street Institute of Child Health, University College, London, United Kingdom.
Abstract:
Among the range of methods available to assess neurodevelopmental disorders, functional MRI (fMRI) has been a preferred tool of choice. Indeed, fMRI can reveal functional alterations in brain networks, irrespective of their structural integrity. Yet, whether fMRI studies have provided unique added value and influenced the clinical care and assessments in children with these conditions remains controversial. This chapter aims to give an overview of the clinical use of task-based as well as resting-state fMRI in children with neurodevelopmental disorders, such as dyslexia, DLD, and epilepsy. We introduce analysis methods that appear promising (namely PPI and machine learning) and describe strengths and limitations of fMRI in the field of pediatrics. Altogether, we suggest that fMRI has provided us with a unique understanding of some developmental conditions. Indeed, findings from group studies have both informed neuroanatomical models and revealed compensation mechanisms. In addition, improvements have made fMRI an increasingly child-friendly method. Nevertheless, clinicians should be aware of limitations, including (1) lack of replication of results, (2) the limited specificity as a diagnostic tool, and (3) difficulties with interpretation of findings. The use of fMRI in the clinic currently remains restricted, with the exception of epilepsy surgery planning, where it is used routinely.
Insights
Functional MRI (fMRI) offers insights into neurodevelopmental disorders like dyslexia and epilepsy by mapping brain activity. While valuable for research, its clinical diagnostic use in children is limited due to replication and specificity issues.
Area of Science:
- Neuroscience
- Pediatric Neurology
- Medical Imaging
Background:
- Functional MRI (fMRI) is a key tool for assessing neurodevelopmental disorders, capable of detecting functional brain network alterations.
- The clinical impact and added value of fMRI in pediatric neurodevelopmental assessments remain debated.
Purpose of the Study:
- To provide an overview of task-based and resting-state fMRI applications in children with neurodevelopmental disorders.
- To introduce promising analysis methods like PPI and machine learning.
- To discuss the strengths and limitations of fMRI in pediatric clinical settings.
Main Methods:
- Review of task-based and resting-state fMRI studies in pediatric neurodevelopmental disorders.
- Introduction of advanced analysis techniques such as psycho-physiological interaction (PPI) and machine learning.
- Discussion of clinical utility, strengths, and limitations.
Main Results:
- fMRI has enhanced understanding of developmental conditions, informing neuroanatomical models and revealing compensatory mechanisms.
- Improvements have made fMRI more child-friendly.
- Group studies provide unique insights into brain function in conditions like dyslexia, DLD, and epilepsy.
Conclusions:
- fMRI offers valuable insights into neurodevelopmental disorders but faces challenges in clinical application.
- Limitations include lack of result replication, limited diagnostic specificity, and interpretation difficulties.
- Current clinical use is restricted, primarily to epilepsy surgery planning.
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