已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

An agile, data‐driven approach for target selection in rTMS therapy for anxiety symptoms: Proof of concept and preliminary data for two novel targets

概念证明 焦虑 敏捷软件开发 计算机科学 选择(遗传算法) 心理学 数据科学 人工智能 机器学习 精神科 软件工程 操作系统
作者
Isabella M. Young,Hugh M. Taylor,Peter J. Nicholas,Alana Mackenzie,Onur Tanglay,Nicholas B. Dadario,Karol Osipowicz,Ethan Davis,Stéphane Doyen,Charles Teo,Michael E. Sughrue
出处
期刊:Brain and behavior [Wiley]
卷期号:13 (5) 被引量:14
标识
DOI:10.1002/brb3.2914
摘要

Abstract Introduction Data‐driven approaches to transcranial magnetic stimulation (TMS) might yield more consistent and symptom‐specific results based on individualized functional connectivity analyses compared to previous traditional approaches due to more precise targeting. We provide a proof of concept for an agile target selection paradigm based on using connectomic methods that can be used to detect patient‐specific abnormal functional connectivity, guide treatment aimed at the most abnormal regions, and optimize the rapid development of new hypotheses for future study. Methods We used the resting‐state functional MRI data of 28 patients with medically refractory generalized anxiety disorder to perform agile target selection based on abnormal functional connectivity patterns between the Default Mode Network (DMN) and Central Executive Network (CEN). The most abnormal areas of connectivity within these regions were selected for subsequent targeted TMS treatment by a machine learning based on an anomalous functional connectivity detection matrix. Areas with mostly hyperconnectivity were stimulated with continuous theta burst stimulation and the converse with intermittent theta burst stimulation. An image‐guided accelerated theta burst stimulation paradigm was used for treatment. Results Areas 8Av and PGs demonstrated consistent abnormalities, particularly in the left hemisphere. Significant improvements were demonstrated in anxiety symptoms, and few, minor complications were reported (fatigue ( n = 2) and headache ( n = 1)). Conclusions Our study suggests that a left‐lateralized DMN is likely the primary functional network disturbed in anxiety‐related disorders, which can be improved by identifying and targeting abnormal regions with a rapid, data‐driven, agile aTBS treatment on an individualized basis.
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
淡定从霜完成签到 ,获得积分10
2秒前
Zack完成签到,获得积分10
2秒前
诸葛小哥哥完成签到 ,获得积分10
3秒前
悦耳人生完成签到 ,获得积分10
4秒前
坚定的惋清完成签到,获得积分20
4秒前
魁梧的盼望完成签到 ,获得积分10
4秒前
叶等等完成签到,获得积分10
5秒前
Haki完成签到,获得积分10
5秒前
烟花应助田一点采纳,获得10
5秒前
6秒前
merry6669完成签到 ,获得积分10
7秒前
Denmark完成签到 ,获得积分10
7秒前
叶等等发布了新的文献求助10
8秒前
拼尽全力发布了新的文献求助10
9秒前
krajicek完成签到,获得积分10
10秒前
DD完成签到 ,获得积分10
10秒前
小林同学0219完成签到 ,获得积分10
10秒前
深情夏彤发布了新的文献求助10
12秒前
13秒前
VIAI完成签到,获得积分10
15秒前
田様应助咪呀采纳,获得10
16秒前
毅力鸟完成签到,获得积分10
16秒前
yx_cheng应助多年以后采纳,获得10
17秒前
W29完成签到,获得积分10
17秒前
kaka完成签到,获得积分0
18秒前
夜游的鱼完成签到 ,获得积分10
18秒前
flyingdodoro发布了新的文献求助10
20秒前
小蘑菇应助坚定的惋清采纳,获得30
22秒前
乐观的蜗牛完成签到 ,获得积分10
23秒前
Dream点壹完成签到,获得积分10
26秒前
酒醉的蝴蝶完成签到 ,获得积分10
28秒前
28秒前
充电宝应助左肩微笑采纳,获得10
30秒前
谨慎的友安完成签到 ,获得积分10
30秒前
31秒前
31秒前
橘橘橘子皮完成签到 ,获得积分10
32秒前
牛奶拌可乐完成签到 ,获得积分10
32秒前
32秒前
Mae完成签到 ,获得积分10
32秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
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 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
Aktuelle Entwicklungen in der linguistischen Forschung 300
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 3989957
求助须知:如何正确求助?哪些是违规求助? 3532034
关于积分的说明 11255966
捐赠科研通 3270856
什么是DOI,文献DOI怎么找? 1805053
邀请新用户注册赠送积分活动 882252
科研通“疑难数据库(出版商)”最低求助积分说明 809216