High-resolution virtual brain modeling personalizes deep brain stimulation for treatment-resistant depression: Spatiotemporal response characteristics following stimulation of neural fiber pathways

脑深部刺激 刺激 神经科学 脑刺激 刺激(心理学) 大脑活动与冥想 脑电刺激 纤维束 医学 心理学 磁共振弥散成像 脑电图 磁共振成像 内科学 认知心理学 疾病 帕金森病 放射科
作者
Sora An,J. Fousek,Zelma H. T. Kiss,Filomeno Cortese,Gwen van der Wijk,Laina McAusland,Rajamannar Ramasubbu,Viktor K. Jirsa,Andrea B. Protzner
出处
期刊:NeuroImage [Elsevier]
卷期号:249: 118848-118848 被引量:4
标识
DOI:10.1016/j.neuroimage.2021.118848
摘要

Over the past 15 years, deep brain stimulation (DBS) has been actively investigated as a groundbreaking therapy for patients with treatment-resistant depression (TRD); nevertheless, outcomes have varied from patient to patient, with an average response rate of ∼50%. The engagement of specific fiber tracts at the stimulation site has been hypothesized to be an important factor in determining outcomes, however, the resulting individual network effects at the whole-brain scale remain largely unknown. Here we provide a computational framework that can explore each individual's brain response characteristics elicited by selective stimulation of fiber tracts. We use a novel personalized in-silico approach, the Virtual Big Brain, which makes use of high-resolution virtual brain models at a mm-scale and explicitly reconstructs more than 100,000 fiber tracts for each individual. Each fiber tract is active and can be selectively stimulated. Simulation results demonstrate distinct stimulus-induced event-related potentials as a function of stimulation location, parametrized by the contact positions of the electrodes implanted in each patient, even though validation against empirical patient data reveals some limitations (i.e., the need for individual parameter adjustment, and differential accuracy across stimulation locations). This study provides evidence for the capacity of personalized high-resolution virtual brain models to investigate individual network effects in DBS for patients with TRD and opens up novel avenues in the personalized optimization of brain stimulation.
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
岛屿完成签到,获得积分10
刚刚
zhangyuheng完成签到,获得积分10
刚刚
luodd发布了新的文献求助30
1秒前
科研通AI2S应助Three_one采纳,获得10
1秒前
1秒前
zimiao发布了新的文献求助20
1秒前
2秒前
3秒前
李健的粉丝团团长应助Zhou采纳,获得10
3秒前
3秒前
4秒前
温言叮叮铛完成签到,获得积分10
4秒前
5秒前
z1z1z完成签到,获得积分10
5秒前
starry完成签到 ,获得积分10
5秒前
李哈哈发布了新的文献求助10
6秒前
hh0发布了新的文献求助10
7秒前
Mp4发布了新的文献求助10
7秒前
7秒前
chen.发布了新的文献求助10
8秒前
able完成签到 ,获得积分10
8秒前
9秒前
9秒前
狂野白梅完成签到,获得积分10
9秒前
Lime发布了新的文献求助10
9秒前
10秒前
11秒前
hanghang完成签到,获得积分10
11秒前
科目三应助称心的以菱采纳,获得10
11秒前
12秒前
Akim应助wsmbnyfh采纳,获得10
12秒前
Ava应助耶耶粘豆包采纳,获得10
12秒前
13秒前
lh发布了新的文献求助10
13秒前
13秒前
访文完成签到 ,获得积分10
13秒前
Emper完成签到,获得积分10
13秒前
Judy完成签到 ,获得积分10
14秒前
晴晴应助kkjl采纳,获得20
14秒前
14秒前
高分求助中
The late Devonian Standard Conodont Zonation 2000
The Lali Section: An Excellent Reference Section for Upper - Devonian in South China 1500
Nickel superalloy market size, share, growth, trends, and forecast 2023-2030 1000
Smart but Scattered: The Revolutionary Executive Skills Approach to Helping Kids Reach Their Potential (第二版) 1000
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 800
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 800
Handbook of Oxidative Stress in Cancer: Mechanistic Aspects 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 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 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3245593
求助须知:如何正确求助?哪些是违规求助? 2889202
关于积分的说明 8257407
捐赠科研通 2557563
什么是DOI,文献DOI怎么找? 1386245
科研通“疑难数据库(出版商)”最低求助积分说明 650285
邀请新用户注册赠送积分活动 626578