Characterization of specific spatial functional connectivity difference in depression during sleep

脑电图 萧条(经济学) 判别式 多导睡眠图 心理学 病态的 神经科学 听力学 医学 内科学 人工智能 计算机科学 宏观经济学 经济
作者
Jiakai Lian,Yingjie Song,Yangting Zhang,Xinwen Guo,Jinfeng Wen,Yuxi Luo
出处
期刊:Journal of Neuroscience Research [Wiley]
卷期号:99 (11): 3021-3034 被引量:7
标识
DOI:10.1002/jnr.24947
摘要

Abstract Depression is a common mental illness and a large number of researchers have been still devoted to exploring effective biomarkers for the identification of depression. Few researches have been conducted on functional connectivity (FC) during sleep in depression. In this paper, a novel depression characterization is proposed using specific spatial FC features of sleep electroencephalography (EEG). Overnight polysomnography recordings were obtained from 26 healthy individuals and 25 patients with depression. The weighted phase lag indexes (WPLIs) of four frequency bands and five sleep periods were obtained from 16 EEG channels. The high discriminative connections extracted via feature evaluation and the cross‐within variation (CW)—the spatial feature constructed to characterize the different performances in inter‐ and intra‐hemispheric FC based on WPLIs, were utilized to classify patients and normal controls. The results showed that enhanced average FC and spatial differences, higher inter‐hemispheric FC and lower intra‐hemispheric FC, were found in patients. Furthermore, abnormalities in the inter‐hemispheric connections of the temporal lobe in the theta band should be important indicators of depression. Finally, both CW and high discriminative WPLI features performed well in depression screening and CW was more specific for characterizing abnormal cortical EEG performance of depression. Our work investigated and characterized the abnormalities in sleep cortical activity in patients with depression, and may provide potential biomarkers for assisting with depression identification and new insights into the understanding of pathological mechanisms in depression.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
lslfreedom发布了新的文献求助10
1秒前
1秒前
Sun发布了新的文献求助10
1秒前
小马甲应助不靠谱采纳,获得10
1秒前
烟花应助GSGSG采纳,获得10
2秒前
lh完成签到,获得积分10
2秒前
GOW完成签到,获得积分10
2秒前
隔壁小曾发布了新的文献求助10
3秒前
3秒前
科研通AI2S应助山雀采纳,获得10
3秒前
huhu完成签到 ,获得积分10
4秒前
czj完成签到 ,获得积分10
4秒前
hz52发布了新的文献求助10
4秒前
九卫完成签到 ,获得积分20
5秒前
多喝热水完成签到,获得积分10
5秒前
月月月鸟伟完成签到,获得积分10
6秒前
情怀应助Naomi采纳,获得10
6秒前
6秒前
搬砖的化学男完成签到 ,获得积分0
6秒前
7秒前
SSSShawn发布了新的文献求助10
7秒前
威武的初兰完成签到 ,获得积分10
7秒前
义气的夏寒完成签到,获得积分10
8秒前
9秒前
9秒前
lixy完成签到,获得积分10
9秒前
乐乐乐乐乐乐应助斯文伊采纳,获得10
10秒前
小欢完成签到,获得积分10
10秒前
Ygy发布了新的文献求助10
10秒前
fdwonder完成签到,获得积分10
11秒前
11秒前
可可西里完成签到,获得积分10
11秒前
hz52完成签到,获得积分10
11秒前
推土机爱学习完成签到 ,获得积分10
11秒前
易止完成签到 ,获得积分10
11秒前
Iris完成签到 ,获得积分10
11秒前
Zhaowx完成签到,获得积分10
11秒前
12秒前
GSGSG发布了新的文献求助10
12秒前
ajun完成签到,获得积分10
12秒前
高分求助中
【提示信息,请勿应助】关于scihub 10000
A new approach to the extrapolation of accelerated life test data 1000
徐淮辽南地区新元古代叠层石及生物地层 500
Coking simulation aids on-stream time 450
北师大毕业论文 基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 390
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
Robot-supported joining of reinforcement textiles with one-sided sewing heads 360
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4015939
求助须知:如何正确求助?哪些是违规求助? 3555887
关于积分的说明 11319237
捐赠科研通 3288997
什么是DOI,文献DOI怎么找? 1812357
邀请新用户注册赠送积分活动 887882
科研通“疑难数据库(出版商)”最低求助积分说明 812044