Tracy Joseph I, Doucet Gaelle E
aDepartment of Neurology bDepartment of Radiology, Thomas Jefferson University/Jefferson Medical College, Philadelphia, Pennsylvania, USA.
Curr Opin Neurol. 2015 Apr;28(2):158-65. doi: 10.1097/WCO.0000000000000178.
Seizures produce dysfunctional, maladaptive networks, making functional connectivity an ideal technique for identifying complex brain effects of epilepsy. We review the current status of resting-state functional connectivity (rsFC) research, highlighting its potential added value to epilepsy surgery programs.
RsFC research has demonstrated that the brain impact of seizures goes beyond the epileptogenic zone, changing connectivity patterns in widespread cortical regions. There is evidence for abnormal connectivity, but the degree to which these represent adaptive or maladaptive plasticity responses is unclear. Empirical associations with cognitive performance and psychiatric symptoms have helped understand deleterious impacts of seizures outside the epileptogenic zone. Studies in the prediction of outcome suggest that there are identifiable presurgical patterns of functional connectivity associated with a greater likelihood of positive cognitive or seizure outcomes.
The role of rsFC remains limited in most clinical settings, but shows great promise for identifying epileptic circuits and foci, predicting outcomes following surgery, and explaining cognitive deficits and psychiatric symptoms of epilepsy. RsFC has demonstrated that even focal epilepsies constitute a network and brain systems disorder. By providing a tool to both identify and characterize the brain network impact of epileptiform activity, rsFC can make a strong contribution to presurgical algorithms in epilepsy.
癫痫发作会产生功能失调、适应不良的网络,这使得功能连接成为识别癫痫复杂脑效应的理想技术。我们回顾了静息态功能连接(rsFC)研究的现状,强调其对癫痫手术项目的潜在附加价值。
RsFC研究表明,癫痫发作对大脑的影响超出了致痫区,改变了广泛皮质区域的连接模式。存在连接异常的证据,但这些异常在多大程度上代表适应性或适应不良的可塑性反应尚不清楚。与认知表现和精神症状的实证关联有助于理解致痫区外癫痫发作的有害影响。结果预测研究表明,术前存在可识别的功能连接模式,这些模式与更有可能出现积极的认知或癫痫发作结果相关。
在大多数临床环境中,rsFC的作用仍然有限,但在识别癫痫回路和病灶、预测手术后结果以及解释癫痫的认知缺陷和精神症状方面显示出巨大潜力。RsFC已证明,即使是局灶性癫痫也构成一种网络和脑系统疾病。通过提供一种识别和表征癫痫样活动对脑网络影响的工具,rsFC可为癫痫术前算法做出重要贡献。