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Altered static and dynamic functional connectivity of the default mode network across epilepsy subtypes in children: A resting-state fMRI study.
Li, Yongxin; Ran, Yun; Yao, Maohua; Chen, Qian.
Afiliación
  • Li Y; Guangzhou Key Laboratory of Formula-Pattern of Traditional Chinese Medicine, Formula-pattern Research Center, School of Traditional Chinese Medicine, Jinan University, Guangzhou, China. Electronic address: yxin-li@163.com.
  • Ran Y; Guangzhou Key Laboratory of Formula-Pattern of Traditional Chinese Medicine, Formula-pattern Research Center, School of Traditional Chinese Medicine, Jinan University, Guangzhou, China.
  • Yao M; Guangzhou Key Laboratory of Formula-Pattern of Traditional Chinese Medicine, Formula-pattern Research Center, School of Traditional Chinese Medicine, Jinan University, Guangzhou, China.
  • Chen Q; Department of Pediatric Neurosurgery, Shenzhen Children's Hospital, Shenzhen, China.
Neurobiol Dis ; 192: 106425, 2024 Mar.
Article en En | MEDLINE | ID: mdl-38296113
ABSTRACT

BACKGROUND:

Epilepsy is a chronic neurologic disorder characterized by abnormal functioning of brain networks, making it a complex research topic. Recent advancements in neuroimaging technology offer an effective approach to unraveling the intricacies of the human brain. Within different types of epilepsy, there is growing recognition regarding ongoing changes in the default mode network (DMN). However, little is known about the shared and distinct alterations of static functional connectivity (sFC) and dynamic functional connectivity (dFC) in DMN among epileptic subtypes, especially in children with epilepsy.

METHODS:

Here, 110 children with epilepsy at a single center, including idiopathic generalized epilepsy (IGE), frontal lobe epilepsy (FLE), temporal lobe epilepsy (TLE), and parietal lobe epilepsy (PLE), as well as 84 healthy controls (HC) underwent resting-state functional magnetic resonance imaging (fMRI) scan. We investigated both sFC and dFC between groups of the DMN.

RESULTS:

Decreased static and dynamic connectivity within the DMN subsystem were shared by all subtypes. In each epilepsy subtype, children with epilepsy displayed significant and distinct patterns of DMN connectivity compared to the control group the IGE group showed reduced interhemispheric connectivity, the FLE group consistently demonstrated disturbances in frontal region connectivity, the TLE group exhibited significant disruptions in hippocampal connectivity, and the PLE group displayed a notable decrease in parietal-temporal connectivity within the DMN. Some state-specific FC disruptions (decreased dFC) were observed in each epilepsy subtype that cannot detect by sFC. To determine their uniqueness within specific subtypes, bootstrapping methods were employed and found the significant results (IGE between PCC and bilateral precuneus, FLE between right middle frontal gyrus and bilateral middle temporal gyrus, TLE between left Hippocampus and right fusiform, PLE between left angular and cingulate cortex). Furthermore, only children with IGE exhibited dynamic features associated with clinical variables.

CONCLUSIONS:

Our findings highlight both shared and distinct FC alterations within the DMN in children with different types of epilepsy. Furthermore, our work provides a novel perspective on the functional alterations in the DMN of pediatric patients, suggesting that combined sFC and dFC analysis can provide valuable insights for deepening our understanding of the neuronal mechanism underlying epilepsy in children.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Epilepsia Generalizada / Epilepsia / Epilepsia del Lóbulo Temporal Límite: Child / Humans Idioma: En Revista: Neurobiol Dis Asunto de la revista: NEUROLOGIA Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Epilepsia Generalizada / Epilepsia / Epilepsia del Lóbulo Temporal Límite: Child / Humans Idioma: En Revista: Neurobiol Dis Asunto de la revista: NEUROLOGIA Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos