» Articles » PMID: 26177579

Resting-state Oscillatory Dynamics in Sensorimotor Cortex in Benign Epilepsy with Centro-temporal Spikes and Typical Brain Development

Overview
Journal Hum Brain Mapp
Publisher Wiley
Specialty Neurology
Date 2015 Jul 17
PMID 26177579
Citations 15
Authors
Affiliations
Soon will be listed here.
Abstract

Benign Epilepsy with Centro-Temporal Spikes (BECTS) is a common childhood epilepsy associated with deficits in several neurocognitive domains. Neurophysiological studies in BECTS often focus on centro-temporal spikes, but these correlate poorly with morphology and cognitive impairments. To better understand the neural profile of BECTS, we studied background brain oscillations, thought to be integrally involved in neural network communication, in sensorimotor areas. We used independent component analysis of temporally correlated sources on magnetoencephalography recordings to assess sensorimotor resting-state network activity in BECTS patients and typically developing controls. We also investigated the variability of oscillatory characteristics within focal primary motor cortex (M1), localized with a separate finger abduction task. We hypothesized that background oscillations would differ between patients and controls in the sensorimotor network but not elsewhere, especially in the beta band (13-30 Hz) because of its role in network communication and motor processing. The results support our hypothesis: in the sensorimotor network, patients had a greater variability in oscillatory amplitude compared to controls, whereas there was no difference in the visual network. Network measures did not correlate with age. The coefficient of variation of resting M1 peak frequency correlated negatively with age in the beta band only, and was greater than average for a number of patients. Our results point toward a "disorganized" functional sensorimotor network in BECTS, supporting a neurodevelopmental delay in sensorimotor cortex. Our findings further suggest that investigating the variability of oscillatory peak frequency may be a useful tool to investigate deficits of disorganization in neurodevelopmental disorders.

Citing Articles

Brain Punch: K-1 Fights Affect Brain Wave Activity in Professional Kickboxers.

Rydzik L, Kopanska M, Wasacz W, Ouergui I, Obminski Z, Palka T Sports Med. 2024; 54(12):3169-3179.

PMID: 39112919 PMC: 11608281. DOI: 10.1007/s40279-024-02082-5.


Effects of altered excitation-inhibition imbalance by repetitive transcranial magnetic stimulation for self-limited epilepsy with centrotemporal spikes.

Yang Y, Han Y, Wang J, Zhou Y, Chen D, Wang M Front Neurol. 2023; 14:1164082.

PMID: 37305755 PMC: 10250617. DOI: 10.3389/fneur.2023.1164082.


Altered Language-Related Effective Connectivity in Patients with Benign Childhood Epilepsy with Centrotemporal Spikes.

Yang F, Tan J, Huang Y, Xiao R, Wang X, Han Y Life (Basel). 2023; 13(2).

PMID: 36836947 PMC: 9960797. DOI: 10.3390/life13020590.


Interictal epileptiform discharges changed epilepsy-related brain network architecture in BECTS.

Dai X, Yang Y, Wang Y Brain Imaging Behav. 2021; 16(2):909-920.

PMID: 34677785 DOI: 10.1007/s11682-021-00566-w.


Measuring robust functional connectivity from resting-state MEG using amplitude and entropy correlation across frequency bands and temporal scales.

Godfrey M, Singh K Neuroimage. 2020; 226:117551.

PMID: 33186722 PMC: 7836237. DOI: 10.1016/j.neuroimage.2020.117551.


References
1.
Vears D, Tsai M, Sadleir L, Grinton B, Lillywhite L, Carney P . Clinical genetic studies in benign childhood epilepsy with centrotemporal spikes. Epilepsia. 2012; 53(2):319-24. DOI: 10.1111/j.1528-1167.2011.03368.x. View

2.
Jacobs J, Kobayashi K, Gotman J . High-frequency changes during interictal spikes detected by time-frequency analysis. Clin Neurophysiol. 2010; 122(1):32-42. PMC: 3774652. DOI: 10.1016/j.clinph.2010.05.033. View

3.
Besseling R, Overvliet G, Jansen J, van der Kruijs S, Vles J, Ebus S . Aberrant functional connectivity between motor and language networks in rolandic epilepsy. Epilepsy Res. 2013; 107(3):253-62. DOI: 10.1016/j.eplepsyres.2013.10.008. View

4.
Wilke M, Schmithorst V, Holland S . Normative pediatric brain data for spatial normalization and segmentation differs from standard adult data. Magn Reson Med. 2003; 50(4):749-57. DOI: 10.1002/mrm.10606. View

5.
Schnitzler A, Gross J . Normal and pathological oscillatory communication in the brain. Nat Rev Neurosci. 2005; 6(4):285-96. DOI: 10.1038/nrn1650. View