Attentional network deficits in patients with migraine: behavioral and electrophysiological evidence
文献类型：期刊论文
| 作者 | Chen, Yuxin4,5; Xie, Siyuan2,3; Zhang, Libo1,4,5; Li, Desheng2,3; Su, Hui2,3; Wang, Rongfei2,3; Ao, Ran2,3; Lin, Xiaoxue2,3; Liu, Yingyuan2,3; Zhang, Shuhua2,3 |
| 刊名 | JOURNAL OF HEADACHE AND PAIN
 |
| 出版日期 | 2024-11-11 |
| 卷号 | 25期号:1页码:16 |
| 关键词 | Migraine Attention Electroencephalography (EEG) Vigilance Hypersensitivity Machine learning |
| ISSN号 | 1129-2369 |
| DOI | 10.1186/s10194-024-01905-0 |
| 通讯作者 | Dong, Zhao(dong_zhaozhao@126.com) ; Lu, Xuejing(luxj@psych.ac.cn) |
| 英文摘要 | BackgroundPatients with migraine often experience not only headache pain but also cognitive dysfunction, particularly in attention, which is frequently overlooked in both diagnosis and treatment. The influence of these attentional deficits on the pain-related clinical characteristics of migraine remains poorly understood, and clarifying this relationship could improve care strategies.MethodsThis study included 52 patients with migraine and 34 healthy controls. We employed the Attentional Network Test for Interactions and Vigilance-Executive and Arousal Components paradigm, combined with electroencephalography, to assess attentional deficits in patients with migraine, with an emphasis on phasic alerting, orienting, executive control, executive vigilance, and arousal vigilance. An extreme gradient boosting binary classifier was trained on features showing group differences to distinguish patients with migraine from healthy controls. Moreover, an extreme gradient boosting regression model was developed to predict clinical characteristics of patients with migraine using their attentional deficit features.ResultsFor general performance, patients with migraine presented a larger inverse efficiency score, a higher prestimulus beta-band power spectral density and a lower gamma-band event-related synchronization at Cz electrode, and stronger high alpha-band activity at the primary visual cortex, compared to healthy controls. Although no behavior differences in three basic attentional networks were found, patients showed magnified N1 amplitude and prolonged latency of P2 for phasic alerting-trials as well as an increased orienting evoked-P1 amplitude. For vigilance function, improvements in the hit rate of executive vigilance-trials were exhibited in controls but not in patients. Besides, patients with migraine exhibited longer reaction time as well as larger variability in arousal vigilance-trials than controls. The binary classifier developed by such attentional deficit features achieved an F1 score of 0.762 and an accuracy of 0.779 in distinguishing patients with migraine from healthy controls. Crucially, the predicted value available from the regression model involving attentional deficit features significantly correlated with the real value for the frequency of headache.ConclusionsPatients with migraine demonstrated significant attentional deficits, which can be used to differentiate migraine patients from healthy populations and to predict clinical characteristics. These findings highlight the need to address cognitive dysfunction, particularly attentional deficits, in the clinical management of migraine. |
| 收录类别 | SCI |
| WOS关键词 | EVENT-RELATED POTENTIALS ; BAND OSCILLATIONS ; SYSTEM ; COMPONENT ; STATE ; P300 ; ERPS ; AURA |
| 资助项目 | National Key Research and Development Program of China |
| WOS研究方向 | Neurosciences & Neurology |
| 语种 | 英语 |
| WOS记录号 | WOS:001352439200001 |
| 出版者 | BMC |
| 资助机构 | National Key Research and Development Program of China |
| 源URL | [http://ir.psych.ac.cn/handle/311026/49286]  |
| 专题 | 心理研究所_中国科学院心理健康重点实验室 |
| 通讯作者 | Dong, Zhao; Lu, Xuejing |
| 作者单位 | 1.Italian Inst Technol, Neurosci & Behav Lab, I-00161 Rome, Italy 2.Nankai Univ, Sch Med, Tianjin 300071, Peoples R China 3.Chinese Peoples Liberat Army Gen Hosp, Med Ctr 1, Dept Neurol, Beijing 100853, Peoples R China 4.Univ Chinese Acad Sci, Dept Psychol, Beijing 100049, Peoples R China 5.Chinese Acad Sci, Inst Psychol, CAS Key Lab Mental Hlth, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Yuxin,Xie, Siyuan,Zhang, Libo,et al. Attentional network deficits in patients with migraine: behavioral and electrophysiological evidence[J]. JOURNAL OF HEADACHE AND PAIN,2024,25(1):16. |
| APA | Chen, Yuxin.,Xie, Siyuan.,Zhang, Libo.,Li, Desheng.,Su, Hui.,...&Lu, Xuejing.(2024).Attentional network deficits in patients with migraine: behavioral and electrophysiological evidence.JOURNAL OF HEADACHE AND PAIN,25(1),16. |
| MLA | Chen, Yuxin,et al."Attentional network deficits in patients with migraine: behavioral and electrophysiological evidence".JOURNAL OF HEADACHE AND PAIN 25.1(2024):16. |
入库方式： OAI收割
来源：心理研究所
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