2007
DOI: 10.1002/hbm.20461
|View full text |Cite
|
Sign up to set email alerts
|

Cortical glucose metabolism correlates negatively with delta‐slowing and spike‐frequency in epilepsy associated with tuberous sclerosis

Abstract: SUMMARY The mechanism of altered glucose metabolism seen on positron emission tomography (PET) in focal epilepsy is not fully understood. We determined the association between interictal glucose metabolism and interictal neuronal activity, using PET and electrocorticography (ECoG) measures derived from 865 intracranial electrode sites in 11 children with focal epilepsy associated with tuberous sclerosis complex (TSC) (age: 0.5 – 16 years) undergoing epilepsy surgery. A multiple linear regression analysis was a… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

1
28
1
1

Year Published

2008
2008
2022
2022

Publication Types

Select...
7
1

Relationship

5
3

Authors

Journals

citations
Cited by 14 publications
(31 citation statements)
references
References 59 publications
(99 reference statements)
1
28
1
1
Order By: Relevance
“…In order to animate ‘when’, ‘where’ and ‘how many fold’ gamma-oscillations were increased or decreased, ‘gamma-range amplitude’ (defined as the spectral amplitude averaged across 50- to 150-Hz frequency bands and normalized to that of the reference period) was sequentially delineated on the individual three-dimensional MRI (Figures 1 and 2; Videos S1–S4), using a method previously described (Brown et al, 2008). ‘Gamma-range amplitude’ was calculated without a frequency band at 60Hz if visual inspection revealed a 60-Hz artifact peak on the amplitude spectral curve for all subdural electrodes (Nishida et al, 2007). ‘Gamma-range amplitude’ for each electrode channel at each 10-msec epoch was registered into the SurGe Interpolation Software 1.2 (Web site: http://mujweb.cz/www/SurGe/surgemain.htm), and interpolated topography map of ‘gamma-range amplitude’ at each 10-msec epoch was accurately superimposed to the individual three-dimensional MRI.…”
Section: Methodsmentioning
confidence: 99%
“…In order to animate ‘when’, ‘where’ and ‘how many fold’ gamma-oscillations were increased or decreased, ‘gamma-range amplitude’ (defined as the spectral amplitude averaged across 50- to 150-Hz frequency bands and normalized to that of the reference period) was sequentially delineated on the individual three-dimensional MRI (Figures 1 and 2; Videos S1–S4), using a method previously described (Brown et al, 2008). ‘Gamma-range amplitude’ was calculated without a frequency band at 60Hz if visual inspection revealed a 60-Hz artifact peak on the amplitude spectral curve for all subdural electrodes (Nishida et al, 2007). ‘Gamma-range amplitude’ for each electrode channel at each 10-msec epoch was registered into the SurGe Interpolation Software 1.2 (Web site: http://mujweb.cz/www/SurGe/surgemain.htm), and interpolated topography map of ‘gamma-range amplitude’ at each 10-msec epoch was accurately superimposed to the individual three-dimensional MRI.…”
Section: Methodsmentioning
confidence: 99%
“…Electrophysiological correlates of benzodiazepine sedation have been studied in human brain primarily using scalp EEG recording, and the common observations include amplitude augmentation of beta (16–31.5 Hz), sigma (12–15.5 Hz) and delta (<3.5 Hz) activities (Schulte am Esch et al, 1990; Veselis et al, 1991; Hering et al, 1994; Liu et al, 1996; Schnider et al, 1996). Beta-sigma oscillations have been considered to comprise idling rhythms signaling the status quo to the underlying cortex (Neuper and Pfurtscheller, 2001; Engel and Fries, 2010), whereas delta oscillations reflect inhibited neuronal states (Steriade and Timofeev, 2003; Nishida et al, 2008; Vyazovskiy et al, 2011). Unanswered questions still exist regarding sedation-induced electrographic changes, partly because scalp EEG recording has a poor spatial resolution.…”
Section: Introductionmentioning
confidence: 99%
“…Previous studies using PET and functional magnetic resonance imaging (MRI), for example, suggested that frequent interictal epileptiform discharges may induce metabolic and hemodynamic activation in some population with focal epilepsy (Chugani et al, 1993; Maquet et al, 1995; De Tiege et al, 2004; Gotman et al, 2006; Kobayashi et al, 2006a). Yet, our recent study of children with lesional epilepsy associated with tuberous sclerosis complex showed that frequent interictal epileptiform discharges were rather associated with glucose hypometabolism (Nishida et al, 2007), and other functional MRI studies demonstrated that interictal epileptiform discharges were associated with hemodynamic deactivation in some patients with focal epilepsy (Federico et al, 2005; Kobayashi et al, 2006b). Association between frequent interictal spike activity and glucose hypometabolism as well as cortical deactivation was attributed to slow-wave components following spike discharges in these studies (Kobayashi et al, 2006b; Nishida et al, 2007).…”
Section: Introductionmentioning
confidence: 99%