在功能梯度的Procrustes对齐之后的个体识别能力:子空间维度的影响
Leonard Sasse1,2,3, Casey Paquola1, Juergen Dukart1,2
1Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany.
Communications biology
|January 10, 2026
概括
使用Procrustes分析对齐功能连接 (FC) 梯度可以改善对象识别. 然而,增加梯度数可能会扭曲主要梯度,影响个体大脑组织分析.
科学领域:
- 神经成像是一种神经成像.
- 大脑的连接性 大脑的连接性
- 个人差异 个人差异
背景情况:
- 来自fMRI的功能连接 (FC) 梯度揭示了大脑的组织.
- 在个人之间对这些梯度进行对齐对于组比较至关重要,但具有挑战性.
- 形状的对齐是常见的,但使用的梯度数量会影响分析的有效性.
研究的目的:
- 研究Procrustes对齐中不同梯度计数对主要FC梯度的影响.
- 评估调整选择如何影响个人层面的分析和解释.
- 检查各种高质量的fMRI数据集之间的效应.
主要方法:
- 系统地调查Procrustes对齐与不同的梯度计数.
- 使用了四个大的fMRI数据集 (HCP-YA,AOMIC PIOP1/2,Cam-CAN).
- 用机器学习进行流体智能和年龄预测,以及运动分析.
主要成果:
- 增加对齐梯度的数量改善了对象的识别.
- 更高的对齐梯度计数将信息从较低的梯度引入到主要梯度.
- 机器学习和运动分析揭示了对解释个人层面发现的含义.
结论:
- 在Procrustes对齐中的梯度数量显著影响了FC梯度分析.
- 虽然提高了对象识别,但更高的数量可能会掩盖真正的个人差异.
- 对准参数的仔细考虑对于有效的个体级神经成像研究至关重要.
更多相关视频
14:27Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
Published on: June 26, 2013
16.1K
09:01A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
Published on: May 7, 2014
10.5K
相关概念视频
Gaussian Elimination: Problem Solving
151
Systems of linear equations in several variables are pivotal in modeling complex scenarios involving multiple unknowns and constraints. Such systems are widely used in various fields to represent relationships where several conditions must be simultaneously satisfied. Each variable in the system corresponds to an unknown quantity, while each equation imposes a linear constraint, leading to a structured approach for analyzing and solving real-world problems.A system of three equations with three...
151
Causes of Similarity-Dissimilarity Effect
250
The similarity-dissimilarity effect, a fundamental concept in social psychology, explains how interpersonal similarities and differences influence attraction and social interactions. This effect is supported by three key psychological perspectives: balance theory, social comparison theory, and consensual validation.Balance Theory and Cognitive ConsistencyBalance theory, developed by Fritz Heider, posits that individuals seek cognitive consistency in their relationships. When two people share...
250
Functional Classification of Joints
6.5K
Functional Classification of Joints
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
An...
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
An...
6.5K
Dimensional Analysis
23.0K
The concept of dimension is important because every mathematical equation linking physical quantities must be dimensionally consistent, implying that mathematical equations must meet the following two rules. The first rule is that, in an equation, the expressions on each side of the equal sign must have the same dimensions. This is fairly intuitive since we can only add or subtract quantities of the same type (dimension). The second rule states that, in an equation, the arguments of any of the...
23.0K
Dimensional Analysis
2.0K
Dimensional analysis is a powerful tool that is used in physics and engineering to understand and predict the behavior of physical systems. The basic idea behind dimensional analysis is to express physical quantities in terms of fundamental dimensions such as the mass, length, and time. Derived dimensions like the velocity, acceleration, and force are derived from the combinations of these fundamental dimensions.
Dimensional analysis allows us to analyze and compare physical quantities on a...
Dimensional analysis allows us to analyze and compare physical quantities on a...
2.0K
Dimensional Analysis
58.9K
Dimensional analysis, also known as the factor label method, is a versatile approach for mathematical operations. The main principle behind this approach is: the units of quantities must be subjected to the same mathematical operations as their associated numbers. This method can be applied to computations ranging from simple unit conversions to more complex and multi-step calculations involving several different quantities and their units.
Conversion Factors and Dimensional Analysis
The unit...
Conversion Factors and Dimensional Analysis
The unit...
58.9K
