Does Greater Low Frequency EEG Activity in Normal Immaturity and in Children with Epilepsy Arise in the Same Neuronal Network?

Michels, Lars; Bücher, Kerstin; Brem, Silvia; Halder, Pascal; Lüchinger, Rafael; Liechti, Martina D.; Martin, Ernst; Jeanmonod, Daniel; Kroll, Judith F.; Brandeis, Daniel

doi:10.1007/s10548-010-0161-y

Cited by 12 publications

(7 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Third, our frequency filtering precluded investigation of frequencies in the HFO range and below 6 Hz. A recent study suggested that low‐frequency oscillations may be related to the abnormal development of functional networks [Michels et al, ], which should be investigated in future studies. Fourth, we could not assess the influence of spikes on network and local motor cortex activity.…”

Section: Discussionmentioning

confidence: 99%

Resting‐state oscillatory dynamics in sensorimotor cortex in benign epilepsy with centro‐temporal spikes and typical brain development

Koelewijn

Hamandi

Brindley

et al. 2015

Human Brain Mapping

View full text Add to dashboard Cite

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.

show abstract

Section: Discussionmentioning

confidence: 99%

Resting‐state oscillatory dynamics in sensorimotor cortex in benign epilepsy with centro‐temporal spikes and typical brain development

Koelewijn

Hamandi

Brindley

et al. 2015

Human Brain Mapping

View full text Add to dashboard Cite

show abstract

“…Our observation of a phasic event-related increased FM-theta power with load during the maintenance interval replicates previously published EEG/MEG work on WM during a similar task [5] , [6] , [7] , [67] . Since rest activity was subtracted for both load conditions and age groups, task-related group differences (children > adults) cannot simply reflect the well-known increase of low frequency resting state power in children [18] , [19] , [68] . Although FM-theta power has been observed even in young children [69] , [70] , our results demonstrating stronger FM-theta power in school-aged children most likely reflect brain immaturity, as children performed significantly worse than adults.…”

Section: Discussionmentioning

confidence: 99%

Developmental Changes of BOLD Signal Correlations with Global Human EEG Power and Synchronization during Working Memory

et al. 2012

View full text Add to dashboard Cite

In humans, theta band (5–7 Hz) power typically increases when performing cognitively demanding working memory (WM) tasks, and simultaneous EEG-fMRI recordings have revealed an inverse relationship between theta power and the BOLD (blood oxygen level dependent) signal in the default mode network during WM. However, synchronization also plays a fundamental role in cognitive processing, and the level of theta and higher frequency band synchronization is modulated during WM. Yet, little is known about the link between BOLD, EEG power, and EEG synchronization during WM, and how these measures develop with human brain maturation or relate to behavioral changes. We examined EEG-BOLD signal correlations from 18 young adults and 15 school-aged children for age-dependent effects during a load-modulated Sternberg WM task. Frontal load (in-)dependent EEG theta power was significantly enhanced in children compared to adults, while adults showed stronger fMRI load effects. Children demonstrated a stronger negative correlation between global theta power and the BOLD signal in the default mode network relative to adults. Therefore, we conclude that theta power mediates the suppression of a task-irrelevant network. We further conclude that children suppress this network even more than adults, probably from an increased level of task-preparedness to compensate for not fully mature cognitive functions, reflected in lower response accuracy and increased reaction time. In contrast to power, correlations between instantaneous theta global field synchronization and the BOLD signal were exclusively positive in both age groups but only significant in adults in the frontal-parietal and posterior cingulate cortices. Furthermore, theta synchronization was weaker in children and was –in contrast to EEG power– positively correlated with response accuracy in both age groups. In summary we conclude that theta EEG-BOLD signal correlations differ between spectral power and synchronization and that these opposite correlations with different distributions undergo similar and significant neuronal developments with brain maturation.

show abstract

“…Such states are low arousal states like sleep (Steriade et al, 1993;Tsai et al, 2010) or anesthesia (John et al, 2001), and neuropathology (Llinas et al, 1999;Michels et al, 2011a;Michels et al, 2011b;Sarnthein et al, 2003). Low arousal states and neuropathologic conditions can be seen as states of lower brain functioning.…”

Section: Maturation Of Eeg-bold Coupling Patternsmentioning

confidence: 99%

Brain state regulation during normal development: Intrinsic activity fluctuations in simultaneous EEG–fMRI

et al. 2012

View full text Add to dashboard Cite

Brain maturation in adolescence is mirrored by the EEG as a pronounced decrease in low frequency activity. This EEG power attenuation parallels reductions of structural and metabolic markers of neuronal maturation (i.e., gray matter loss and decrease of absolute cerebral glucose utilization). However, it is largely unknown what causes these electrophysiological changes, and how this functional reorganization relates to other functional measures such as the fMRI BOLD signal. In this study, we used simultaneously recorded EEG and fMRI to localize hemodynamic correlates of fluctuating EEG oscillations and to study the development of this EEG-BOLD coupling. Furthermore, the maturational EEG power attenuation was directly compared to BOLD signal power maturation. Both analyses were novel in their developmental perspective and aimed at providing a functional lead to EEG maturation. Data from 19 children, 18 adolescents and 18 young adults were acquired in 10min eyes-open/eyes-closed resting states. Our results revealed that both EEG and BOLD amplitudes strongly decrease between childhood and adulthood, but their functional coupling remains largely unchanged. The global reduction of absolute amplitude of spontaneous slow BOLD signal fluctuation is a novel marker for brain maturation, and parallels the globally decreasing trajectories of EEG amplitudes, gray matter and glucose metabolism during adolescence. Further, the absence of thalamocortical EEG-BOLD coupling in children together with age-related normalized thalamic BOLD power increase indicated maturational changes in brain state regulation. Abstract -Brain maturation in adolescence is mirrored by the EEG as a pronounced decrease in low frequency activity. This EEG power attenuation parallels reductions of structural and metabolic markers of neuronal maturation (i.e., gray matter loss and decrease of absolute cerebral glucose utilization). However, it is largely unknown what causes these electrophysiological changes, and how this functional reorganization relates to other functional measures such as the fMRI BOLD signal. In this study, we used simultaneously recorded EEG and fMRI to localize hemodynamic correlates of fluctuating EEG oscillations and to study the development of this EEG-BOLD coupling. Furthermore, the maturational EEG power attenuation was directly compared to BOLD signal power maturation. Both analyses were novel in their developmental perspective and aimed at providing a functional lead to EEG maturation. Data from 19 children, 18 adolescents and 18 young adults were acquired in 10 min eyes-open/eyes-closed resting states. Our results revealed that both EEG and BOLD amplitudes strongly decrease between childhood and adulthood, but their functional coupling remains largely unchanged. The global reduction of absolute amplitude of spontaneous slow BOLD signal fluctuation is a novel marker for brain maturation, and parallels the globally decreasing trajectories of EEG amplitudes, gray matter and glucose metabolism during adolescence. Furthe...

show abstract

Does Greater Low Frequency EEG Activity in Normal Immaturity and in Children with Epilepsy Arise in the Same Neuronal Network?

Cited by 12 publications

References 54 publications

Resting‐state oscillatory dynamics in sensorimotor cortex in benign epilepsy with centro‐temporal spikes and typical brain development

Resting‐state oscillatory dynamics in sensorimotor cortex in benign epilepsy with centro‐temporal spikes and typical brain development

Developmental Changes of BOLD Signal Correlations with Global Human EEG Power and Synchronization during Working Memory

Brain state regulation during normal development: Intrinsic activity fluctuations in simultaneous EEG–fMRI

Contact Info

Product

Resources

About