Generalized Psychophysiological Interaction (PPI) Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease

Theresa M. Harrison; Donald G. McLaren; Teena D. Moody; Jamie D. Feusner; Susan Y. Bookheimer

doi:10.3791/55394

JoVE Journal
Neuroscience

A subscription to JoVE is required to view this content. Sign in or start your free trial.

JoVE Journal Neuroscience

Generalized Psychophysiological Interaction (PPI) Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer’s Disease

广义心理相互作用 (PPI) 分析阿尔茨海默病遗传危险个体的记忆相关连通性

Full Text

15,801 Views

09:38 min

November 14, 2017

DOI: 10.3791/55394-v

Theresa M. Harrison¹, Donald G. McLaren², Teena D. Moody¹, Jamie D. Feusner¹, Susan Y. Bookheimer¹

¹Psychiatry and Biobehavioral Sciences,University of California, Los Angeles, ²Biospective, Inc.

Please note that some of the translations on this page are AI generated. Click here for the English version.

Overview

This manuscript describes a psychophysiological interaction analysis aimed at identifying memory-related context-dependent changes in functional connectivity between the hippocampus and other brain regions. This method is particularly useful for examining how functional connectivity varies in response to cognitive demands during tasks.

Key Study Components

Area of Science

Cognitive Neuroscience
Functional Connectivity
Psychophysiological Interaction Analysis

Background

Functional connectivity refers to the temporal correlation between spatially remote neurophysiological events.
Psychophysiological interaction analysis helps in understanding task effects on brain connectivity.
This technique allows researchers to test specific hypotheses regarding brain region connectivity.
It is particularly relevant for studying populations with cognitive decline.

Purpose of Study

To identify changes in functional connectivity related to memory tasks.
To explore how cognitive demands affect connectivity between the hippocampus and other brain regions.
To provide insights into the neural mechanisms underlying cognitive decline.

Methods Used

Participants aged 55 and older with cognitive decline were included.
Subjects were screened for MRI safety and provided informed consent.
A three-tesla MRI system was used for whole brain imaging data acquisition.
Functional imaging involved collecting axial slices using an echo-planar imaging sequence during a memory task.

Main Results

Task-dependent changes in functional connectivity were observed.
Specific brain regions showed altered connectivity patterns in response to cognitive demands.
The findings contribute to understanding the neural basis of cognitive decline.
Results support the utility of psychophysiological interaction analysis in cognitive neuroscience research.

Conclusions

Psychophysiological interaction analysis is effective for studying functional connectivity changes.
This method can enhance our understanding of cognitive processes in aging populations.
Future research can build on these findings to explore interventions for cognitive decline.

Frequently Asked Questions

What is psychophysiological interaction analysis?

It is a method used to examine how task demands affect functional connectivity between brain regions.

Why is this study focused on older adults?

Older adults are often at risk for cognitive decline, making it important to understand changes in brain connectivity.

What imaging technique was used in this study?

A three-tesla MRI system was utilized for whole brain imaging data acquisition.

How does functional connectivity relate to cognitive tasks?

Functional connectivity can change based on the cognitive demands of a task, reflecting how different brain regions communicate.

What are the implications of this research?

The findings can inform interventions aimed at mitigating cognitive decline in aging populations.

Can this method be applied to other populations?

Yes, it can be adapted to study various populations and cognitive conditions.

这篇手稿描述了如何实现心理的交互分析, 揭示了任务相关的变化, 在功能连通性之间的选择种子区和体在其他区域的大脑。心理交互分析是一种常用的方法来检查任务对大脑连通性的影响, 有别于传统的单变量激活效应。

该分析的总体目标是确定海马区域与大脑其他部分之间功能连接的记忆相关上下文相关变化。这种方法可以帮助回答认知神经科学领域的关键问题，例如功能连接如何响应实验任务中的特定认知需求而变化。这种技术的主要优点是它允许研究人员在认知任务期间测试有关关键大脑区域功能连接的特定假设。

对于本实验，包括 55 岁及以上患有认知能力下降的个体，他们在实验前 4 次已被对阿尔茨海默病风险等位基因载脂蛋白 E ε 进行基因分型，筛选受试者的 MRI 安全性并获得知情同意。使用 3 特斯拉 MRI 系统获取全脑成像数据。对于功能成像，在运行不相关的单词关联记忆任务时使用回声平面成像序列收集轴向切片。

View the full transcript and gain access to thousands of scientific videos

Explore More Videos

神经生物学问题 129 功能连接海马功能性磁共振成像 fmri 预处理 fmri 统计分析 MRI 遗传风险载脂蛋白心理相互作用 (PPI) 广义心理交互 (gPPI)