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Lesion network mapping in pediatric epilepsy.

Iván Sánchez Fernández1, Sem L Kampman2, Frederic L W V J Schaper3

  • 1Localization Laboratory, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.

Progress in Neuro-Psychopharmacology & Biological Psychiatry
|February 11, 2026
PubMed
Summary
This summary is machine-generated.

Lesion network mapping shows promise for understanding pediatric epilepsy, but current studies are limited. Future research with larger samples and standardized methods could improve diagnosis and treatment for childhood epilepsy.

Keywords:
EpilepsyFunctional connectivityLesion network mappingNeural networksSeizures

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Area of Science:

  • Neuroscience
  • Pediatric Neurology
  • Medical Imaging

Background:

  • Pediatric epilepsy presents complex challenges in understanding its underlying neural networks.
  • Lesion network mapping offers a novel approach to investigate brain abnormalities in epilepsy.

Purpose of the Study:

  • To review the current applications of lesion network mapping in pediatric epilepsy.
  • To identify the limitations and challenges in existing research.
  • To outline future directions for this technique in the field.

Main Methods:

  • A narrative review was conducted.
  • A comprehensive literature search of lesion network mapping in pediatric epilepsy was performed using PubMed.

Main Results:

  • Ten studies utilizing lesion network mapping in pediatric epilepsy were identified.
  • Current research is limited by heterogeneous methodologies, small sample sizes, and non-age-matched data.
  • Results indicate variability, highlighting the early stage of this research.

Conclusions:

  • Lesion network mapping in pediatric epilepsy is an emerging field with heterogeneous findings.
  • Standardized methodologies and larger cohorts are needed for future advancements.
  • This technique holds potential for elucidating neural networks and guiding targeted treatments.