Miller R - Search Results

1

Dynamic state with covarying brain activity-connectivity: On the pathophysiology of schizophrenia.

Fu Z, Iraji A, Turner JA, Sui J, Miller R, Pearlson GD, Calhoun VD. Fu Z, et al. Among authors: miller r. Neuroimage. 2021 Jan 1;224:117385. doi: 10.1016/j.neuroimage.2020.117385. Epub 2020 Sep 17. Neuroimage. 2021. PMID: 32950691 Free PMC article.

2

Preserving subject variability in group fMRI analysis: performance evaluation of GICA vs. IVA.

Michael AM, Anderson M, Miller RL, Adalı T, Calhoun VD. Michael AM, et al. Front Syst Neurosci. 2014 Jun 26;8:106. doi: 10.3389/fnsys.2014.00106. eCollection 2014. Front Syst Neurosci. 2014. PMID: 25018704 Free PMC article.

3

Lateralization of resting state networks and relationship to age and gender.

Agcaoglu O, Miller R, Mayer AR, Hugdahl K, Calhoun VD. Agcaoglu O, et al. Among authors: miller r. Neuroimage. 2015 Jan 1;104:310-25. doi: 10.1016/j.neuroimage.2014.09.001. Epub 2014 Sep 18. Neuroimage. 2015. PMID: 25241084 Free PMC article.

4

The chronnectome: time-varying connectivity networks as the next frontier in fMRI data discovery.

Calhoun VD, Miller R, Pearlson G, Adalı T. Calhoun VD, et al. Among authors: miller r. Neuron. 2014 Oct 22;84(2):262-74. doi: 10.1016/j.neuron.2014.10.015. Epub 2014 Oct 22. Neuron. 2014. PMID: 25374354 Free PMC article. Review.

5

Mutually temporally independent connectivity patterns: a new framework to study the dynamics of brain connectivity at rest with application to explain group difference based on gender.

Yaesoubi M, Miller RL, Calhoun VD. Yaesoubi M, et al. Neuroimage. 2015 Feb 15;107:85-94. doi: 10.1016/j.neuroimage.2014.11.054. Epub 2014 Dec 6. Neuroimage. 2015. PMID: 25485713 Free PMC article.

6

Assessing dynamic brain graphs of time-varying connectivity in fMRI data: application to healthy controls and patients with schizophrenia.

Yu Q, Erhardt EB, Sui J, Du Y, He H, Hjelm D, Cetin MS, Rachakonda S, Miller RL, Pearlson G, Calhoun VD. Yu Q, et al. Neuroimage. 2015 Feb 15;107:345-355. doi: 10.1016/j.neuroimage.2014.12.020. Epub 2014 Dec 13. Neuroimage. 2015. PMID: 25514514 Free PMC article.

7

Higher dimensional analysis shows reduced dynamism of time-varying network connectivity in schizophrenia patients.

Miller RL, Yaesoubi M, Calhoun VD. Miller RL, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:3837-40. doi: 10.1109/EMBC.2014.6944460. Annu Int Conf IEEE Eng Med Biol Soc. 2014. PMID: 25570828

8

Spatial Variance in Resting fMRI Networks of Schizophrenia Patients: An Independent Vector Analysis.

Gopal S, Miller RL, Michael A, Adali T, Cetin M, Rachakonda S, Bustillo JR, Cahill N, Baum SA, Calhoun VD. Gopal S, et al. Among authors: miller rl. Schizophr Bull. 2016 Jan;42(1):152-60. doi: 10.1093/schbul/sbv085. Epub 2015 Jun 23. Schizophr Bull. 2016. PMID: 26106217 Free PMC article.

9

Multidimensional frequency domain analysis of full-volume fMRI reveals significant effects of age, gender, and mental illness on the spatiotemporal organization of resting-state brain activity.

Miller RL, Erhardt EB, Agcaoglu O, Allen EA, Michael AM, Turner JA, Bustillo J, Ford JM, Mathalon DH, Van Erp TG, Potkin S, Preda A, Pearlson G, Calhoun VD. Miller RL, et al. Front Neurosci. 2015 Jun 16;9:203. doi: 10.3389/fnins.2015.00203. eCollection 2015. Front Neurosci. 2015. PMID: 26136646 Free PMC article.

10

Dynamic coherence analysis of resting fMRI data to jointly capture state-based phase, frequency, and time-domain information.

Yaesoubi M, Allen EA, Miller RL, Calhoun VD. Yaesoubi M, et al. Neuroimage. 2015 Oct 15;120:133-42. doi: 10.1016/j.neuroimage.2015.07.002. Epub 2015 Jul 8. Neuroimage. 2015. PMID: 26162552 Free PMC article.

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