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Brain Imaging

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...

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Updated: Jan 14, 2026

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

Published on: June 13, 2025

在早产和满期婴儿中追踪功能性大脑网络,使用精确映射.

Diego Derman¹, Silvina L Ferradal¹

¹Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA.

Developmental cognitive neuroscience

|October 18, 2025

概括

新生儿休息状态网络 (RSN) 的个性化映射揭示了不同的大脑发育轨迹. 高阶网络,如默认模式网络 (DMN),作为神经发育结果的早期生物标志物,显示出前景.

科学领域:

神经科学是一个神经科学.
发展生物学发展生物学
医疗成像医学成像

背景情况:

过早分娩是神经发育障碍的重要危险因素.
目前的神经行为评估和结构成像缺乏对长期结果的预测能力.
对于反映早期大脑组织的敏感生物标志物有着至关重要的需求.

研究的目的:

研究个性化静止状态网络 (RSN) 作为新生儿神经发育结果的早期生物标志物的实用性.
描述RSN在终身和早产婴儿的发育轨迹.
为了比较早产和早产新生儿之间的RSN组织.

主要方法:

利用精确映射方法估计新生儿的大群中的个体RSN.
分析了来自正在开发的人类连接体项目的静止状态功能连接数据.
在一小部分早产婴儿中使用纵向分析来追踪出生后的发育.

主要成果:

随着扫描时的年龄,RSN连接强度线性增加.
主要的感觉网络比更高阶的关联网络,包括默认模式网络 (DMN),更早成熟.
与满期出生的婴儿相比,早产婴儿表现出不成熟的RSN组织,DMN显示出显著的发育差异.

关键词:

在FMRI的过程中,我们可以使用FMRI 功能连接性的功能连接性.个性化的个性化.精确的功能映射精确的功能映射.过早出生过早的出生

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结论:

个性化RSN映射有效地捕捉了新生儿异质大脑发育.
高阶关联网络,特别是DMN,作为监测神经发育轨迹的有前途的早期标志物.
过早出生的婴儿在相当的年龄内无法达到到期的婴儿连接水平,这表明持续的发育差异.