Literature DB >> 20408225

An overview and some new developments in the statistical analysis of PET and fMRI data.

K J Worsley1.   

Abstract

The first part of this paper gives an overview of a simplified approach to the statistical analysis of PET and fMRI data, including new developments and future directions. The second part outlines a new method, based on multivariate linear models (MLM), for characterising the response in PET and fMRI data, which overcomes some of the drawbacks of current methods such as SSM, SVD, PLS and CVA. Copyright (c) 1997 Wiley-Liss, Inc.

Entities:  

Year:  1997        PMID: 20408225     DOI: 10.1002/(SICI)1097-0193(1997)5:4<254::AID-HBM9>3.0.CO;2-2

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  10 in total

1.  Exact multivariate tests for brain imaging data.

Authors:  Rita Almeida; Anders Ledberg
Journal:  Hum Brain Mapp       Date:  2002-05       Impact factor: 5.038

Review 2.  Statistical approaches to functional neuroimaging data.

Authors:  F Dubois Bowman; Ying Guo; Gordana Derado
Journal:  Neuroimaging Clin N Am       Date:  2007-11       Impact factor: 2.264

3.  Constructing fine-granularity functional brain network atlases via deep convolutional autoencoder.

Authors:  Yu Zhao; Qinglin Dong; Hanbo Chen; Armin Iraji; Yujie Li; Milad Makkie; Zhifeng Kou; Tianming Liu
Journal:  Med Image Anal       Date:  2017-08-18       Impact factor: 8.545

4.  Connectome-scale functional intrinsic connectivity networks in macaques.

Authors:  Wei Zhang; Xi Jiang; Shu Zhang; Brittany R Howell; Yu Zhao; Tuo Zhang; Lei Guo; Mar M Sanchez; Xiaoping Hu; Tianming Liu
Journal:  Neuroscience       Date:  2017-08-24       Impact factor: 3.590

5.  Susceptibility of brain atrophy to TRIB3 in Alzheimer's disease, evidence from functional prioritization in imaging genetics.

Authors:  Marco Lorenzi; Andre Altmann; Boris Gutman; Selina Wray; Charles Arber; Derrek P Hibar; Neda Jahanshad; Jonathan M Schott; Daniel C Alexander; Paul M Thompson; Sebastien Ourselin
Journal:  Proc Natl Acad Sci U S A       Date:  2018-03-06       Impact factor: 11.205

6.  Characterizing and differentiating task-based and resting state fMRI signals via two-stage sparse representations.

Authors:  Shu Zhang; Xiang Li; Jinglei Lv; Xi Jiang; Lei Guo; Tianming Liu
Journal:  Brain Imaging Behav       Date:  2016-03       Impact factor: 3.978

7.  Assessing effects of prenatal alcohol exposure using group-wise sparse representation of fMRI data.

Authors:  Jinglei Lv; Xi Jiang; Xiang Li; Dajiang Zhu; Shijie Zhao; Tuo Zhang; Xintao Hu; Junwei Han; Lei Guo; Zhihao Li; Claire Coles; Xiaoping Hu; Tianming Liu
Journal:  Psychiatry Res       Date:  2015-07-09       Impact factor: 3.222

8.  Group-wise FMRI activation detection on DICCCOL landmarks.

Authors:  Jinglei Lv; Lei Guo; Dajiang Zhu; Tuo Zhang; Xintao Hu; Junwei Han; Tianming Liu
Journal:  Neuroinformatics       Date:  2014-10

9.  Demodulation of Chaos Phase Modulation Spread Spectrum Signals Using Machine Learning Methods and Its Evaluation for Underwater Acoustic Communication.

Authors:  Chao Li; Franck Marzani; Fan Yang
Journal:  Sensors (Basel)       Date:  2018-12-01       Impact factor: 3.576

10.  Analytic programming with FMRI data: a quick-start guide for statisticians using R.

Authors:  Ani Eloyan; Shanshan Li; John Muschelli; Jim J Pekar; Stewart H Mostofsky; Brian S Caffo
Journal:  PLoS One       Date:  2014-02-28       Impact factor: 3.240

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.