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Functional connectivity of the pediatric brain.
Argyropoulou, Maria I; Xydis, Vasileios G; Astrakas, Loukas G.
Afiliación
  • Argyropoulou MI; Department of Radiology, Faculty of Medicine, School of Health Sciences, University of Ioannina, P.O. Box 1186, Ioannina, 45110, Greece. margyrop@uoi.gr.
  • Xydis VG; Department of Radiology, Faculty of Medicine, School of Health Sciences, University of Ioannina, P.O. Box 1186, Ioannina, 45110, Greece.
  • Astrakas LG; Medical Physics Laboratory, Faculty of Medicine, School of Health Sciences, University of Ioannina, P.O. Box 1186, Ioannina, 45110, Greece.
Neuroradiology ; 2024 Sep 04.
Article en En | MEDLINE | ID: mdl-39230715
ABSTRACT

PURPOSE:

This review highlights the importance of functional connectivity in pediatric neuroscience, focusing on its role in understanding neurodevelopment and potential applications in clinical practice. It discusses various techniques for analyzing brain connectivity and their implications for clinical interventions in neurodevelopmental disorders.

METHODS:

The principles and applications of independent component analysis and seed-based connectivity analysis in pediatric brain studies are outlined. Additionally, the use of graph analysis to enhance understanding of network organization and topology is reviewed, providing a comprehensive overview of connectivity methods across developmental stages, from fetuses to adolescents.

RESULTS:

Findings from the reviewed studies reveal that functional connectivity research has uncovered significant insights into the early formation of brain circuits in fetuses and neonates, particularly the prenatal origins of cognitive and sensory systems. Longitudinal research across childhood and adolescence demonstrates dynamic changes in brain connectivity, identifying critical periods of development and maturation that are essential for understanding neurodevelopmental trajectories and disorders.

CONCLUSION:

Functional connectivity methods are crucial for advancing pediatric neuroscience. Techniques such as independent component analysis, seed-based connectivity analysis, and graph analysis offer valuable perspectives on brain development, creating new opportunities for early diagnosis and targeted interventions in neurodevelopmental disorders, thereby paving the way for personalized therapeutic strategies.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Neuroradiology Año: 2024 Tipo del documento: Article País de afiliación: Grecia Pais de publicación: Alemania

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Neuroradiology Año: 2024 Tipo del documento: Article País de afiliación: Grecia Pais de publicación: Alemania