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Items: 1 to 20 of 488

1.

Classification Of Schizophrenia And Bipolar Patients Using Static And Dynamic Resting-State Fmri Brain Connectivity.

Rashid B, Arbabshirani MR, Damaraju E, Cetin MS, Miller R, Pearlson GD, Calhoun VD.

Neuroimage. 2016 Apr 23. pii: S1053-8119(16)30091-X. doi: 10.1016/j.neuroimage.2016.04.051. [Epub ahead of print]

PMID:
27118088
3.

Task-specific feature extraction and classification of fMRI volumes using a deep neural network initialized with a deep belief network: Evaluation using sensorimotor tasks.

Jang H, Plis SM, Calhoun VD, Lee JH.

Neuroimage. 2016 Apr 11. pii: S1053-8119(16)30036-2. doi: 10.1016/j.neuroimage.2016.04.003. [Epub ahead of print]

PMID:
27079534
4.

The connectivity domain: Analyzing resting state fMRI data using feature-based data-driven and model-based methods.

Iraji A, Calhoun VD, Wiseman NM, Davoodi-Bojd E, Avanaki MR, Haacke EM, Kou Z.

Neuroimage. 2016 Apr 12;134:494-507. doi: 10.1016/j.neuroimage.2016.04.006. [Epub ahead of print]

5.

Functional MRI Evaluation of Multiple Neural Networks Underlying Auditory Verbal Hallucinations in Schizophrenia Spectrum Disorders.

Thoma RJ, Chaze C, Lewine JD, Calhoun VD, Clark VP, Bustillo J, Houck J, Ford J, Bigelow R, Wilhelmi C, Stephen JM, Turner JA.

Front Psychiatry. 2016 Mar 29;7:39. doi: 10.3389/fpsyt.2016.00039. eCollection 2016.

6.

Partially restored resting-state functional connectivity in women recovered from anorexia nervosa.

Boehm I, Geisler D, Tam F, King JA, Ritschel F, Seidel M, Bernardoni F, Murr J, Goschke T, Calhoun VD, Roessner V, Ehrlich S.

J Psychiatry Neurosci. 2016 Apr 1;41(3):150259. doi: 10.1503/jpn.150259. [Epub ahead of print]

7.

Sample-poor estimation of order and common signal subspace with application to fusion of medical imaging data.

Levin-Schwartz Y, Song Y, Schreier PJ, Calhoun VD, Adalı T.

Neuroimage. 2016 Mar 31;134:486-493. doi: 10.1016/j.neuroimage.2016.03.058. [Epub ahead of print]

PMID:
27039696
8.

The effect of preprocessing pipelines in subject classification and detection of abnormal resting state functional network connectivity using group ICA.

Vergara VM, Mayer AR, Damaraju E, Hutchison K, Calhoun VD.

Neuroimage. 2016 Mar 23. pii: S1053-8119(16)00243-3. doi: 10.1016/j.neuroimage.2016.03.038. [Epub ahead of print]

PMID:
27033684
9.

A Tool for Interactive Data Visualization: Application to Over 10,000 Brain Imaging and Phantom MRI Data Sets.

Panta SR, Wang R, Fries J, Kalyanam R, Speer N, Banich M, Kiehl K, King M, Milham M, Wager TD, Turner JA, Plis SM, Calhoun VD.

Front Neuroinform. 2016 Mar 15;10:9. doi: 10.3389/fninf.2016.00009. eCollection 2016.

10.

Approaches to Capture Variance Differences in Rest fMRI Networks in the Spatial Geometric Features: Application to Schizophrenia.

Gopal S, Miller RL, Baum SA, Calhoun VD.

Front Neurosci. 2016 Mar 7;10:85. doi: 10.3389/fnins.2016.00085. eCollection 2016.

11.

Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls.

Arbabshirani MR, Plis S, Sui J, Calhoun VD.

Neuroimage. 2016 Mar 21. pii: S1053-8119(16)00210-X. doi: 10.1016/j.neuroimage.2016.02.079. [Epub ahead of print]

PMID:
27012503
12.

The role of diversity in complex ICA algorithms for fMRI analysis.

Du W, Levin-Schwartz Y, Fu GS, Ma S, Calhoun VD, Adalı T.

J Neurosci Methods. 2016 May 1;264:129-35. doi: 10.1016/j.jneumeth.2016.03.012. Epub 2016 Mar 15.

PMID:
26993820
13.

Higher Dimensional Meta-State Analysis Reveals Reduced Resting fMRI Connectivity Dynamism in Schizophrenia Patients.

Miller RL, Yaesoubi M, Turner JA, Mathalon D, Preda A, Pearlson G, Adali T, Calhoun VD.

PLoS One. 2016 Mar 16;11(3):e0149849. doi: 10.1371/journal.pone.0149849. eCollection 2016.

14.

Dysfunctional error-related processing in incarcerated youth with elevated psychopathic traits.

Maurer JM, Steele VR, Cope LM, Vincent GM, Stephen JM, Calhoun VD, Kiehl KA.

Dev Cogn Neurosci. 2016 Feb 22;19:70-77. doi: 10.1016/j.dcn.2016.02.006. [Epub ahead of print]

15.

Spatiospectral Decomposition of Multi-subject EEG: Evaluating Blind Source Separation Algorithms on Real and Realistic Simulated Data.

Bridwell DA, Rachakonda S, Silva RF, Pearlson GD, Calhoun VD.

Brain Topogr. 2016 Feb 24. [Epub ahead of print]

PMID:
26909688
16.

Neuroimaging measures of error-processing: Extracting reliable signals from event-related potentials and functional magnetic resonance imaging.

Steele VR, Anderson NE, Claus ED, Bernat EM, Rao V, Assaf M, Pearlson GD, Calhoun VD, Kiehl KA.

Neuroimage. 2016 May 15;132:247-60. doi: 10.1016/j.neuroimage.2016.02.046. Epub 2016 Feb 22.

PMID:
26908319
17.

Deep Independence Network Analysis of Structural Brain Imaging: Application to Schizophrenia.

Castro E, Hjelm RD, Plis S, Dihn L, Turner J, Calhoun V.

IEEE Trans Med Imaging. 2016 Feb 11. [Epub ahead of print]

PMID:
26891483
18.

Graph Metrics of Structural Brain Networks in Individuals with Schizophrenia and Healthy Controls: Group Differences, Relationships with Intelligence, and Genetics.

Yeo RA, Ryman SG, van den Heuvel MP, de Reus MA, Jung RE, Pommy J, Mayer AR, Ehrlich S, Schulz SC, Morrow EM, Manoach D, Ho BC, Sponheim SR, Calhoun VD.

J Int Neuropsychol Soc. 2016 Feb;22(2):240-9. doi: 10.1017/S1355617715000867.

PMID:
26888620
19.

Modern Methods for Interrogating the Human Connectome.

Lowe MJ, Sakaie KE, Beall EB, Calhoun VD, Bridwell DA, Rubinov M, Rao SM.

J Int Neuropsychol Soc. 2016 Feb;22(2):105-19. doi: 10.1017/S1355617716000060.

20.

Dynamic functional network connectivity reveals unique and overlapping profiles of insula subdivisions.

Nomi JS, Farrant K, Damaraju E, Rachakonda S, Calhoun VD, Uddin LQ.

Hum Brain Mapp. 2016 May;37(5):1770-87. doi: 10.1002/hbm.23135. Epub 2016 Feb 16.

PMID:
26880689
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