相关实验视频

Updated: Jun 27, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

人类功能性大脑网络的两种常见和独特的变异形式

Ally Dworetsky^1,2,3, Benjamin A Seitzman⁴, Babatunde Adeyemo⁵

¹Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA.

Nature neuroscience

|April 30, 2024

概括

人类大脑的组织有很大的差异. 这项研究揭示了两种类型的皮质变异:边界转移和宫外侵入,不同影响行为,需要单独分析来理解个体大脑的差异.

科学领域:

神经科学是一个神经科学.
认知神经科学认知神经科学
神经成像是一种神经成像.

背景情况:

人类皮质表现出一个专门的功能组织,形成大规模的网络.
皮层组织的显著个体差异与行为变异相关.

研究的目的:

调查皮层组织中个体差异的新型形式,超越传统的边界转移.
将"宫外侵入"描述为一种独特的皮质变异类型.

主要方法:

分析神经成像数据以确定皮质功能区域的变化.
基于位置,网络协会和任务激活的"边界"和"异位"变体的比较.
对不同变种类型的遗传和环境影响的检查.

主要成果:

确定了两种常见的皮层变异类型:边界移位和异位侵入.
宫外变异发生在异常位置,不同于边界转移.
边界变异显示出更强的遗传相关性,而异胎变异表明环境影响更大.

结论:

皮层组织通过边界转移和子宫外侵入而变化.
这两种形式的变化具有不同的属性和关联.
考虑边界和宫外变异对于理解人类皮质系统的个体差异至关重要.

更多相关视频

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

相关概念视频

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...