Statistical Analysis of fMRI Data 2/e
暫譯: 功能性磁共振影像數據的統計分析(第二版)

Ashby, F. Gregory

商品描述

A guide to all aspects of experimental design and data analysis for fMRI experiments, completely revised and updated for the second edition.

Functional magnetic resonance imaging (fMRI), which allows researchers to observe neural activity in the human brain noninvasively, has revolutionized the scientific study of the mind. An fMRI experiment produces massive amounts of highly complex data for researchers to analyze. This book describes all aspects of experimental design and data analysis for fMRI experiments, covering every step--from preprocessing to advanced methods for assessing functional connectivity--as well as the most popular multivariate approaches. The goal is not to describe which buttons to push in the popular software packages but to help researchers understand the basic underlying logic, the assumptions, the strengths and weaknesses, and the appropriateness of each method.

The field of fMRI research has advanced dramatically in recent years, in both methodology and technology, and this second edition has been completely revised and updated. Six new chapters cover experimental design, functional connectivity analysis through the methods of psychophysiological interactions and beta-series regression, decoding using multi-voxel pattern analysis, dynamic causal modeling, and representational similarity analysis. Other chapters offer new material on recently discovered problems related to head movements, the multivariate GLM, meta-analysis, and other topics. All complex derivations now appear at the end of the relevant chapter to improve readability. A new appendix describes how to build a design matrix with effect coding for group analysis. As in the first edition, MATLAB code is provided with which readers can implement many of the methods described.

商品描述(中文翻譯)

本書是針對功能性磁共振成像(fMRI)實驗的實驗設計和數據分析各個方面的指南,已完全修訂並更新至第二版。

功能性磁共振成像(fMRI)使研究人員能夠非侵入性地觀察人腦中的神經活動,徹底改變了對心智的科學研究。fMRI 實驗會產生大量高度複雜的數據供研究人員分析。本書描述了 fMRI 實驗的實驗設計和數據分析的各個方面,涵蓋每一個步驟——從預處理到評估功能連接的高級方法,以及最受歡迎的多變量方法。目標不是描述在流行軟體包中按下哪些按鈕,而是幫助研究人員理解基本的邏輯、假設、優缺點以及每種方法的適用性。

近年來,fMRI 研究領域在方法論和技術上都取得了顯著進展,這一第二版已完全修訂和更新。六個新章節涵蓋了實驗設計、通過心理生理互動和 beta 系列回歸方法進行的功能連接分析、多體素模式分析的解碼、動態因果建模和表徵相似性分析。其他章節提供了有關最近發現的與頭部運動、多變量 GLM、元分析及其他主題相關的問題的新材料。所有複雜的推導現在都出現在相關章節的末尾,以提高可讀性。新的附錄描述了如何為群體分析構建帶有效應編碼的設計矩陣。與第一版一樣,提供了 MATLAB 代碼,讀者可以用來實現許多描述的方法。

作者簡介

F. Gregory Ashby is Professor and Chair in the Department of Psychology and former Director of the Brain Imaging Center at the University of California, Santa Barbara.

作者簡介(中文翻譯)

F. Gregory Ashby 是加州大學聖塔巴巴拉分校心理學系的教授及系主任,並曾擔任腦成像中心的主任。