跳至主要内容
临床试验/NCT06353620
NCT06353620招募中不适用

Structural-functional Connectome With High-density Electroencephalography in Drug-resistant Epilepsies and Rare Neurodevelopmental Syndromes With Epilepsy

IRCCS Eugenio Medea1 个研究点 分布在 1 个国家目标入组 120 人开始时间: 2024年2月13日最近更新:
适应症

试验速览

阶段
不适用
状态
招募中
发起方
入组人数
120
试验地点
1
主要终点
Differences in the network coherence values in theta and alpha band after treatment

研究概览

简要总结

Recent studies have shown that the aperiodic part of the signal (neuronal avalanches) of electroencephalography (EEG) contains important information about the dynamics of neuronal networks. Indeed, this has helped to identify functionally altered areas in patients with temporal epilepsy by simply using the resting EEG signal. Furthermore, it has been seen that the propagation of neuronal avalanches (VNs) correlates with the morphological organization of the cerebral cortex. Therefore, NAs represent a measure with direct utility for studying functional reorganization pre and post drug/surgical treatment. In addition, the aperiodic portion of the signal may represent a noninvasive measure of the excitation/inhibition relationship, which is known of being altered both in epilepsy and in some rare neurodevelopmental syndromes (example: Angelman and Dup15q)

详细描述

Electroencephalography is the tool of choice for the diagnosis of epilepsy. Its use is increasing in the clinic, especially in its high-density form (HD-EEG), because it can be used as a neuroimaging tool, supporting the process of identifying the epileptogenic network (NE) and monitoring the evolution of brain connectivity over time in relation to the epileptic process.In particular, the reorganization of the functional connectome following pharmacological and/or surgical treatment of epilepsy is an aspect that is still little studied, but it could represent a useful prognostic factor that can improve the clinical management of the affected person. In addition, high-density EEG can be applied for the purpose of characterizing functional brain connectivity in some rare neurodevelopmental diseases, particularly Angelman syndrome and Dup15q syndrome, pathological increasingly being studied as a model of neurodevelopmental, cognitive and behavioral alterations in addition to epilepsy. Relatively to recent developments of potentially "disease modifying" therapies for these pathologies, there is indeed a need for markers of brain functioning useful to objectively monitor clinical development.

The present study involves the systematization of data from noninvasive clinical-instrumental assessments such as EEG and structural MRI, acquired during the diagnosis process in drug-resistant epilepsies and rare neurodevelopmental syndromes associated with epilepsy, in order to analyze the relationship between functional-structural organization of the brain system and clinical aspects, including cognitive and behavioral functioning. In the context of epilepsy, a data collection will be carried out to which recent analytical approaches related to the study of the functional connectome will be applied, with the aim of characterizing the reorganization of brain networks over time, hypothesizing a process of progressive "normalization" of these in subjects who present, after the course of treatment (pharmacological and/or surgical), total freedom or a significant reduction of seizures. In parallel, the relationship between the organization of functional networks and cognitive/behavioral functioning pre- and post-treatment will be analyzed, in order to obtain a dynamic and longitudinal view of the patients' clinical evolution. With this in mind, it is important to understand that functional activity is intrinsically linked to brain structures, and in fact the project takes into account the anatomo-functional relationship of the connectome. This relationship is crucial in rare neurodevelopmental syndromes, such as Angelman syndrome and Dup15q, where the use of the structural-functional connectome is a relevant novel element for the purpose of characterizing a highly complex picture that disrupts the global development of the affected child/person. Indeed, the relationship between changes in functional relationships between brain areas and underlying physical connections, as well as the relationship between these and neurodevelopment, are still poorly understood. The second goal of the project is therefore to generalize the use of these patient-friendly methods, starting with data collected with noninvasive instrumentation, in order to improve the characterization of the neurocognitive profile, as well as a useful tool to identify syndrome-specific biomarkers to be used in monitoring clinical development.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Retrospective

入排标准

年龄范围
6 Years 至 75 Years(Child, Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • a diagnosis of focal or generalized epilepsy, Angelman syndrome, or Dup15q, confirmed by specialist evaluation;
  • at least one MRI scan of the brain that includes 3D T1 sequences;
  • at least one 128-channel HD-EEG recording; and
  • age between 6 and 75 years at the time of the evaluation of the present study;
  • ability to take part in a neuropsychological evaluation.

排除标准

  • vascular causes or non-low-grade tumors as causes of epilepsy;
  • age different from the range 6-75 years;
  • neuroradiological examination not complete (absence T1 3D);
  • absence of HD-EEG 128-channel recording
  • inability to take part in a neuropsychological evaluation.

结局指标

主要结局

Differences in the network coherence values in theta and alpha band after treatment

时间窗: 2 years

The outcome 1 one will be finalized to measures the changes of the coherence values before and after the treatment. Coherence is a measure defining the strength of functional connectivity between two brain regions. The pre- and post-treatment changes will be investigated specifically in the theta and alpha EEG frequency band, since these two bands are the most affected in epilepsy condition.

Stability of the alpha frequency band in the EEG activity

时间窗: 2 years

The detrend fluctuation analysis (DFA) in the alpha band of the EEG power spectrum provides information on excitatory and inihibitory balance of neural activity. For the outcome 2, the exponent of the DFA in the alpha band will be compared between patients with rare neurodevelopmental disorders (Angelman and Dup15q) vs. the healthy control group.

Correlation of neural excitation and memory performance

时间窗: 2 years

Correlation between the aperiodic component of the EEG power specturum with the memory functioning obtained with the Rey Complex Figure Test, pre and post treatment

次要结局

未报告次要终点

研究者

发起方
IRCCS Eugenio Medea
申办方类型
Other
责任方
Sponsor

研究点 (1)

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