Abstract
Time-varying connectivity analyses have indicated idiopathic generalized epilepsy (IGE) could cause significant abnormalities in dynamic connective pattern within and between resting-state sub-networks (RSNs). However, previous studies mainly focused on the IGE-induced dynamic changes of functional connectivity (FC) in specific frequency band (0.01–0.08 Hz or 0.01–0.15 Hz), ignoring the changes across different frequency bands. Here, 24 patients with IGE characterized by juvenile myoclonic epilepsy (JME) and 24 matched healthy controls were studied using a data-driven frequency decomposition approach and a sliding window approach. The RSN dynamics, including intra-RSN dynamics and inter-RSN dynamics, was further calculated to investigate dynamic FC changes within and between RSNs in JME patients in each decomposed frequency band. Compared to healthy controls, JME patients not only showed frequency-dependent decrease in intra-RSN dynamics within multiple RSNs but also exhibited fluctuant alterations in inter-RSN dynamics among several RSNs over different frequency bands especially in the ventral/dorsal attention network and the subcortical network. Additionally, the disease severity had significantly negative correlations with both intra-RSN dynamics within the subcortical network and inter-RSN dynamics between the subcortical network and the default network at the lower frequency band (0.0095–0.0195 Hz). These results suggested that abnormal dynamic FC within and between RSNs in JME occurs at multiple frequency bands and the lower frequency band (0.0095–0.0195 Hz) was probably more sensitive to JME-caused dynamic FC abnormalities. The frequency subdivision and selection are potentially helpful for detecting particular changes of dynamic FC in JME.
Highlights
Juvenile myoclonic epilepsy (JME), characterized by irregular jerks of shoulders and arms after awakening, is known as the most common idiopathic generalized epilepsy (IGE) of adolescence [1]
We found that CEEMDAN could adaptively decompose the blood oxygen level dependent (BOLD) signals into several intrinsic oscillatory modes within distinct frequency bands
The present study investigates the changes in dynamic functional connectivity (FC) within and between resting-state sub-network (RSN) in juvenile myoclonic epilepsy (JME) at different frequency bands
Summary
Juvenile myoclonic epilepsy (JME), characterized by irregular jerks of shoulders and arms after awakening, is known as the most common idiopathic generalized epilepsy (IGE) of adolescence [1]. Myoclonic, generalized tonic-clonic and absences, as three common seizure types of IGE, may be evoked either by nonspecific factors, such as sleep deprivation and stress, or by specific stimuli like photic stimuli, eye-closure, praxis, and language [2]. Studies with the time-varying FNC analysis have shown that the driving mechanisms and cognitive implications of neural activity can be partly disentangled by observing functional connectivity (FC) fluctuations [7,8,9,10]. State-specific FNC disruptions within and between several RSNs have been found in patients with IGE in previous study [10].
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