BACKGROUND: Epileptic syndromes with continuous spikes and waves during sleep (CSWS) represent a wide spectrum of epileptic conditions associated with cognitive dysfunctions that have the EEG pattern of CSWS as a common feature. Reported are the results of voxel-based analyses of brain glucose metabolism performed in a group of 18 children with CSWS. METHODS: Voxel-based analyses of cerebral glucose metabolism were performed using statistical parametric mapping (SPM). First, each patient was compared with a control group and the influence of age, epileptic activity, and corticosteroid treatment on metabolic abnormalities was studied. Also, disease-related changes in the contribution of a brain area to the level of metabolic activity in another brain area were investigated using pathophysiologic interactions in groups of patients compared with the control group. RESULTS: Individual SPM analyses identified three metabolic patterns: association of hypermetabolic and hypometabolic areas, hypometabolic areas only, and normal pattern. Age and intensity of awake interictal spiking did not significantly differ in patients showing focal hypermetabolism compared with the other ones. Treatment with corticosteroids was associated with absence of focal hypermetabolism. In the group of patients with hypermetabolic areas, analyses of pathophysiologic interactions showed disease-related altered functional connectivity between the parietal and frontal cortices. CONCLUSIONS: Cerebral metabolic patterns are heterogeneous among patients with CSWS. This metabolic heterogeneity could be related to the use of corticosteroid treatment before PET. The parietofrontal altered connectivity observed in patients with hypermetabolism is interpreted as a phenomenon of remote inhibition of the frontal lobes induced by highly epileptogenic and hypermetabolic posterior cortex.
BACKGROUND:Epileptic syndromes with continuous spikes and waves during sleep (CSWS) represent a wide spectrum of epileptic conditions associated with cognitive dysfunctions that have the EEG pattern of CSWS as a common feature. Reported are the results of voxel-based analyses of brain glucose metabolism performed in a group of 18 children with CSWS. METHODS: Voxel-based analyses of cerebral glucose metabolism were performed using statistical parametric mapping (SPM). First, each patient was compared with a control group and the influence of age, epileptic activity, and corticosteroid treatment on metabolic abnormalities was studied. Also, disease-related changes in the contribution of a brain area to the level of metabolic activity in another brain area were investigated using pathophysiologic interactions in groups of patients compared with the control group. RESULTS: Individual SPM analyses identified three metabolic patterns: association of hypermetabolic and hypometabolic areas, hypometabolic areas only, and normal pattern. Age and intensity of awake interictal spiking did not significantly differ in patients showing focal hypermetabolism compared with the other ones. Treatment with corticosteroids was associated with absence of focal hypermetabolism. In the group of patients with hypermetabolic areas, analyses of pathophysiologic interactions showed disease-related altered functional connectivity between the parietal and frontal cortices. CONCLUSIONS: Cerebral metabolic patterns are heterogeneous among patients with CSWS. This metabolic heterogeneity could be related to the use of corticosteroid treatment before PET. The parietofrontal altered connectivity observed in patients with hypermetabolism is interpreted as a phenomenon of remote inhibition of the frontal lobes induced by highly epileptogenic and hypermetabolic posterior cortex.
Authors: Iván Sánchez Fernández; Kevin E Chapman; Jurriaan M Peters; Chellamani Harini; Alexander Rotenberg; Tobias Loddenkemper Journal: Epilepsy Res Treat Date: 2013-08-06
Authors: D Puttaert; N Coquelet; V Wens; P Peigneux; P Fery; A Rovai; N Trotta; N Sadeghi; T Coolen; J-C Bier; S Goldman; X De Tiège Journal: Sci Rep Date: 2020-12-15 Impact factor: 4.379
Authors: Nicola Trotta; Serge Goldman; Benjamin Legros; Kristof Baete; Koen Van Laere; Patrick Van Bogaert; Xavier De Tiège Journal: PLoS One Date: 2013-06-20 Impact factor: 3.240
Authors: Maxime Niesen; Nicola Trotta; Antoine Noel; Tim Coolen; Georges Fayad; Gil Leurkin-Sterk; Isabelle Delpierre; Sophie Henrard; Niloufar Sadeghi; Jean-Christophe Goffard; Serge Goldman; Xavier De Tiège Journal: Eur J Nucl Med Mol Imaging Date: 2021-01-04 Impact factor: 9.236