Advances in EEG-based functional connectivity approaches to the study of the central nervous system in health and disease

被引:39
作者
Di Gregorio, Francesco [1 ,2 ]
Battaglia, Simone [2 ]
机构
[1] UOC, Azienda Unita Sanitaria Locale, Rehabil Med & Neurorehabil, Bologna, Italy
[2] Univ Bologna, Dept Psychol Renzo Canestrari, Ctr Studies & Res Cognit Neurosci, Cesena Campus, Bologna, Italy
来源
ADVANCES IN CLINICAL AND EXPERIMENTAL MEDICINE | 2023年 / 32卷 / 06期
关键词
EEG; brain connectivity; brain oscillations; central nervous system; clinical neuroscience; PHASE-SYNCHRONIZATION; BRAIN NETWORK; MODELS; ASSOCIATION; IMPAIRMENT; GUIDELINES; DIAGNOSIS; DEMENTIA; RECOVERY; AUTISM;
D O I
10.17219/acem/166476
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Functional brain connectivity is closely linked to the complex interactions between brain networks. In the last two decades, measures of functional connectivity based on electroencephalogram (EEG) data have proved to be an important tool for neurologists and clinical and non-clinical neuroscientists. Indeed, EEG-based functional connectivity may reveal the neurophysiological processes and networks underlying human cognition and the pathophysiology of neuropsychiatric disorders. This editorial discusses recent advances and future prospects in the study of EEG-based functional connectivity, with a focus on the main methodological approaches to studying brain networks in health and disease.
引用
收藏
页码:607 / 612
页数:6
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