Page 174 - MEGIN Book Of Abstracts - 2023

raphy (MEG). Advancements that highlight non-inva- Boston Children's Hospital, Harvard Medical School, Boston,
sive neuroimaging techniques used to study the whole MA, USA; Fetal-Neonatal Neuroimaging and Developmental
brain are emphasized due to the advantages these Science Center, Division of Newborn Medicine, Department
provide in clinical and research applications. Thus, top- of Medicine, Boston Children's Hospital, Harvard Medical
ics range across presurgical evaluations, understanding School, Boston, MA, USA; The Hillingdon Hospital NHS Foun-
of epilepsy as a network disorder, and the interactions dation Trust, London, United Kingdom; Division of Epilepsy
between epilepsy and comorbidities. New techniques and Clinical Neurophysiology, Department of Neurology,
and approaches are discussed which are expected to Boston Children's Hospital, Harvard Medical School, Boston,
emerge into the mainstream within the next decade MA, USA; Fetal-Neonatal Neuroimaging and Developmental
and impact our understanding of epilepsies. Further, Science Center, Division of Newborn Medicine, Department
an increasing breadth of investigations includes the of Medicine, Boston Children's Hospital, Harvard Medical
interplay between epilepsy, mental health comorbidi- School, Boston, MA, USA; Division of Neuroradiology, Depart-
ties, and aberrant brain networks. In the final section ment of Radiology, Boston Children's Hospital, Harvard Medi-
of this review, we focus on neuroimaging studies that cal School, MA, USA; Division of Epilepsy Surgery, Depart-
assess bidirectional relationships between mental ment of Neurosurgery, Boston Children's Hospital, Harvard
health comorbidities and epilepsy as a model for better Medical School, Boston, MA, USA; Laboratory of Children's
understanding of the commonalities between both Brain Dynamics, Division of Newborn Medicine, Department
conditions. of Medicine, Boston Children's Hospital, Harvard Medical
School, Boston, MA, USA; Jane and John Justin Neurosci-
Keywords: Epilepsy, Mental health, Network disorder, ences Center, Cook Children's Health Care System, Fort Worth,
Neuroimaging, Neurosurgery TX, USA; School of Medicine, Texas Christian University and
University of North Texas Health Science Center, Fort Worth,
Neurotherapeutics: the journal of the American Society TX, USA; Department of Bioengineering, University of Texas
for Experimental NeuroTherapeutics (2021), Vol. 18, No. 2 at Arlington, Arlington, TX, USA. Electronic address: christos.
(33942270) (9 citations) [email protected]

OBJECTIVE To assess the utility of interictal magnetic
Presurgical accuracy of dipole clustering in MRI- and electric source imaging (MSI and ESI) using dipole
negative pediatric patients with epilepsy: Validation clustering in magnetic resonance imaging (MRI)-nega-
against intracranial EEG and resection (2022) tive patients with drug resistant epilepsy (DRE).

Ntolkeras, Georgios; Tamilia, Eleonora; AlHilani, Michel; METHODS We localized spikes in low-density (LD-EEG)
Bolton, Jeffrey; Ellen Grant, P; Prabhu, Sanjay P; Madsen, and high-density (HD-EEG) electroencephalography
Joseph R; Stufflebeam, Steven M; Pearl, Phillip L; as well as magnetoencephalography (MEG) recordings
Papadelis, Christos using dipoles from 11 pediatric patients. We computed
each dipole's level of clustering and used it to discrimi-
Laboratory of Children's Brain Dynamics, Division of New- nate between clustered and scattered dipoles. For each
born Medicine, Department of Medicine, Boston Children's dipole, we computed the distance from seizure onset
Hospital, Harvard Medical School, Boston, MA, USA; Fetal- zone (SOZ) and irritative zone (IZ) defined by intracra-
Neonatal Neuroimaging and Developmental Science Center, nial EEG. Finally, we assessed whether dipoles proximity
Division of Newborn Medicine, Department of Medicine, Bos- to resection was predictive of outcome.
ton Children's Hospital, Harvard Medical School, Boston, MA,
USA; Athinoula A. Martinos Center for Biomedical Imaging, RESULTS LD-EEG had lower clusterness compared to
Massachusetts General Hospital, Harvard Medical School, HD-EEG and MEG (p < 0.05). For all modalities, clustered
Boston, MA, USA; Laboratory of Children's Brain Dynamics, dipoles showed higher proximity to SOZ and IZ than
Division of Newborn Medicine, Department of Medicine, scattered (p < 0.001). Resection percentage was higher

 ontents  Index 153
C