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Items: 1 to 50 of 623

1.

Structure/function interrelationships in patients with schizophrenia who have persistent auditory verbal hallucinations: A multimodal MRI study using parallel ICA.

Kubera KM, Rashidi M, Schmitgen MM, Barth A, Hirjak D, Sambataro F, Calhoun VD, Wolf RC.

Prog Neuropsychopharmacol Biol Psychiatry. 2019 Mar 16. pii: S0278-5846(19)30001-6. doi: 10.1016/j.pnpbp.2019.03.007. [Epub ahead of print]

PMID:
30890460
2.

The spatial chronnectome reveals a dynamic interplay between functional segregation and integration.

Iraji A, Deramus TP, Lewis N, Yaesoubi M, Stephen JM, Erhardt E, Belger A, Ford JM, McEwen S, Mathalon DH, Mueller BA, Pearlson GD, Potkin SG, Preda A, Turner JA, Vaidya JG, van Erp TGM, Calhoun VD.

Hum Brain Mapp. 2019 Mar 18. doi: 10.1002/hbm.24580. [Epub ahead of print]

PMID:
30884018
3.

Deep collaborative learning with application to multimodal brain development study.

Hu W, Cai B, Zhang A, Calhoun VD, Wang YP.

IEEE Trans Biomed Eng. 2019 Mar 13. doi: 10.1109/TBME.2019.2904301. [Epub ahead of print]

PMID:
30872216
4.

Positive and general psychopathology associated with specific gray matter reductions in inferior temporal regions in patients with schizophrenia.

Mennigen E, Jiang W, Calhoun VD, van Erp TGM, Agartz I, Ford JM, Mueller BA, Liu J, Turner JA.

Schizophr Res. 2019 Feb 25. pii: S0920-9964(19)30070-2. doi: 10.1016/j.schres.2019.02.010. [Epub ahead of print]

PMID:
30819594
5.

Spatial source phase: A new feature for identifying spatial differences based on complex-valued resting-state fMRI data.

Qiu Y, Lin QH, Kuang LD, Gong XF, Cong F, Wang YP, Calhoun VD.

Hum Brain Mapp. 2019 Feb 27. doi: 10.1002/hbm.24551. [Epub ahead of print]

PMID:
30811773
6.

Apathy Is Related to Cognitive Control and Striatum Volumes in Prodromal Huntington's Disease.

Misiura MB, Ciarochi J, Vaidya J, Bockholt J, Johnson HJ, Calhoun VD, Paulsen JS, Turner JA; PREDICT-HD Investigators & Working Group.

J Int Neuropsychol Soc. 2019 Feb 26:1-8. doi: 10.1017/S1355617719000067. [Epub ahead of print]

PMID:
30806337
7.

Dynamic connectivity and the effects of maturation in youth with attention deficit hyperactivity disorder.

de Lacy N, Calhoun VD.

Netw Neurosci. 2018 Dec 1;3(1):195-216. doi: 10.1162/netn_a_00063. eCollection 2019.

8.

Time-varying whole-brain functional network connectivity coupled to task engagement.

Xie H, Gonzalez-Castillo J, Handwerker DA, Bandettini PA, Calhoun VD, Chen G, Damaraju E, Liu X, Mitra S.

Netw Neurosci. 2018 Oct 1;3(1):49-66. doi: 10.1162/netn_a_00051. eCollection 2019.

9.

Integration of imaging (epi)genomics data for the study of schizophrenia using group sparse joint nonnegative matrix factorization.

Wang M, Huang TZ, Fang J, Calhoun VD, Wang YP.

IEEE/ACM Trans Comput Biol Bioinform. 2019 Feb 14. doi: 10.1109/TCBB.2019.2899568. [Epub ahead of print]

PMID:
30762565
10.

Resting state connectivity differences in eyes open versus eyes closed conditions.

Agcaoglu O, Wilson TW, Wang YP, Stephen J, Calhoun VD.

Hum Brain Mapp. 2019 Feb 5. doi: 10.1002/hbm.24539. [Epub ahead of print]

PMID:
30720907
11.

The inner fluctuations of the brain in presymptomatic Frontotemporal Dementia: The chronnectome fingerprint.

Premi E, Calhoun VD, Diano M, Gazzina S, Cosseddu M, Alberici A, Archetti S, Paternicò D, Gasparotti R, van Swieten J, Galimberti D, Sanchez-Valle R, Laforce R Jr, Moreno F, Synofzik M, Graff C, Masellis M, Tartaglia MC, Rowe J, Vandenberghe R, Finger E, Tagliavini F, de Mendonça A, Santana I, Butler C, Ducharme S, Gerhard A, Danek A, Levin J, Otto M, Frisoni G, Cappa S, Sorbi S, Padovani A, Rohrer JD, Borroni B; Genetic FTD Initiative, GENFI.

Neuroimage. 2019 Apr 1;189:645-654. doi: 10.1016/j.neuroimage.2019.01.080. Epub 2019 Feb 1.

12.

Extraction of time-varying spatio-temporal networks using parameter-tuned constrained IVA.

Bhinge S, Mowakeaa R, Calhoun VD, Adali T.

IEEE Trans Med Imaging. 2019 Jan 23. doi: 10.1109/TMI.2019.2893651. [Epub ahead of print]

PMID:
30676948
13.

An average sliding window correlation method for dynamic functional connectivity.

Vergara VM, Abrol A, Calhoun VD.

Hum Brain Mapp. 2019 Jan 19. doi: 10.1002/hbm.24509. [Epub ahead of print]

PMID:
30659699
14.

Dynamic Functional Network Connectivity In Schizophrenia With MEG And fMRI, Do Different Time Scales Tell A Different Story?

Sanfratello L, Houck J, Calhoun VD.

Brain Connect. 2019 Jan 11. doi: 10.1089/brain.2018.0608. [Epub ahead of print]

PMID:
30632385
15.

Dynamic functional network connectivity in Huntington's disease and its associations with motor and cognitive measures.

Espinoza FA, Liu J, Ciarochi J, Turner JA, Vergara VM, Caprihan A, Misiura M, Johnson HJ, Long JD, Bockholt JH, Paulsen JS, Calhoun VD.

Hum Brain Mapp. 2019 Apr 15;40(6):1955-1968. doi: 10.1002/hbm.24504. Epub 2019 Jan 7.

PMID:
30618191
16.

Spatial dynamics within and between brain functional domains: A hierarchical approach to study time-varying brain function.

Iraji A, Fu Z, Damaraju E, DeRamus TP, Lewis N, Bustillo JR, Lenroot RK, Belger A, Ford JM, McEwen S, Mathalon DH, Mueller BA, Pearlson GD, Potkin SG, Preda A, Turner JA, Vaidya JG, van Erp TGM, Calhoun VD.

Hum Brain Mapp. 2019 Apr 15;40(6):1969-1986. doi: 10.1002/hbm.24505. Epub 2018 Dec 26.

PMID:
30588687
17.

Efficacy of different dynamic functional connectivity methods to capture cognitively relevant information.

Xie H, Zheng CY, Handwerker DA, Bandettini PA, Calhoun VD, Mitra S, Gonzalez-Castillo J.

Neuroimage. 2019 Mar;188:502-514. doi: 10.1016/j.neuroimage.2018.12.037. Epub 2018 Dec 18.

PMID:
30576850
18.

Alternating Diffusion Map Based Fusion of Multimodal Brain Connectivity Networks for IQ Prediction.

Xiao L, Stephen JM, Wilson TW, Calhoun VD, Wang Y.

IEEE Trans Biomed Eng. 2018 Nov 29. doi: 10.1109/TBME.2018.2884129. [Epub ahead of print]

PMID:
30507492
19.

Opposite Epigenetic Associations With Alcohol Use and Exercise Intervention.

Chen J, Hutchison KE, Bryan AD, Filbey FM, Calhoun VD, Claus ED, Lin D, Sui J, Du Y, Liu J.

Front Psychiatry. 2018 Nov 15;9:594. doi: 10.3389/fpsyt.2018.00594. eCollection 2018.

20.

Reply to: New Meta- and Mega-analyses of Magnetic Resonance Imaging Findings in Schizophrenia: Do They Really Increase Our Knowledge About the Nature of the Disease Process?

van Erp TGM, Walton E, Hibar DP, Schmaal L, Jiang W, Glahn DC, Pearlson GD, Yao N, Fukunaga M, Hashimoto R, Okada N, Yamamori H, Clark VP, Mueller BA, de Zwarte SMC, Ophoff RA, van Haren NEM, Andreassen OA, Gurholt TP, Gruber O, Kraemer B, Richter A, Calhoun VD, Crespo-Facorro B, Roiz-Santiañez R, Tordesillas-Gutiérrez D, Loughland C, Catts S, Fullerton JM, Green MJ, Henskens F, Jablensky A, Mowry BJ, Pantelis C, Quidé Y, Schall U, Scott RJ, Cairns MJ, Seal M, Tooney PA, Rasser PE, Cooper G, Shannon Weickert C, Weickert TW, Hong E, Kochunov P, Gur RE, Gur RC, Ford JM, Macciardi F, Mathalon DH, Potkin SG, Preda A, Fan F, Ehrlich S, King MD, De Haan L, Veltman DJ, Assogna F, Banaj N, de Rossi P, Iorio M, Piras F, Spalletta G, Pomarol-Clotet E, Kelly S, Ciufolini S, Radua J, Murray R, Marques TR, Simmons A, Borgwardt S, Schönborn-Harrisberger F, Riecher-Rössler A, Smieskova R, Alpert KI, Bertolino A, Bonvino A, Di Giorgio A, Neilson E, Mayer AR, Yun JY, Cannon DM, Lebedeva I, Tomyshev AS, Akhadov T, Kaleda V, Fatouros-Bergman H, Flyckt L; Karolinska Schizophrenia Project, Rosa PGP, Serpa MH, Zanetti MV, Hoschl C, Skoch A, Spaniel F, Tomecek D, McIntosh AM, Whalley HC, Knöchel C, Oertel-Knöchel V, Howells FM, Stein DJ, Temmingh HS, Uhlmann A, Lopez-Jaramillo C, Dima D, Faskowitz JI, Gutman BA, Jahanshad N, Thompson PM, Turner JA.

Biol Psychiatry. 2019 Apr 1;85(7):e35-e39. doi: 10.1016/j.biopsych.2018.10.003. Epub 2018 Nov 22. No abstract available.

PMID:
30470561
21.

Exploring different impaired speed of genetic-related brain function and structures in schizophrenic progress using multimodal analysis.

Luo N, Tian L, Calhoun VD, Chen J, Lin D, Vergara VM, Rao S, Zhang F, Sui J.

Conf Proc IEEE Eng Med Biol Soc. 2018 Jul;2018:4126-4129. doi: 10.1109/EMBC.2018.8513313.

PMID:
30441263
22.

Increased Randomness of Functional Network Connectivity in Nicotine and Alcohol Consumers.

Vergara VM, Hutchison K, Calhoun VD.

Conf Proc IEEE Eng Med Biol Soc. 2018 Jul;2018:1011-1014. doi: 10.1109/EMBC.2018.8512392.

PMID:
30440562
23.

Abnormal Dynamic Functional Network Connectivity and Graph Theoretical Analysis in Major Depressive Disorder.

Zhi D, Ma X, Lv L, Ke Q, Yang Y, Yang X, Pan M, Qi S, Jiang R, Du Y, Yu Q, Calhoun VD, Jiang T, Sui J.

Conf Proc IEEE Eng Med Biol Soc. 2018 Jul;2018:558-561. doi: 10.1109/EMBC.2018.8512340.

PMID:
30440458
24.

Machine learning of brain gray matter differentiates sex in a large forensic sample.

Anderson NE, Harenski KA, Harenski CL, Koenigs MR, Decety J, Calhoun VD, Kiehl KA.

Hum Brain Mapp. 2019 Apr 1;40(5):1496-1506. doi: 10.1002/hbm.24462. Epub 2018 Nov 15.

PMID:
30430711
25.

Capturing Dynamic Connectivity from Resting State fMRI using Time-Varying Graphical Lasso.

Cai B, Zhang G, Zhang A, Stephen JM, Wilson TW, Calhoun VD, Wang Y.

IEEE Trans Biomed Eng. 2018 Nov 9. doi: 10.1109/TBME.2018.2880428. [Epub ahead of print]

PMID:
30418876
26.

Decentralized temporal independent component analysis: Leveraging fMRI data in collaborative settings.

Baker BT, Abrol A, Silva RF, Damaraju E, Sarwate AD, Calhoun VD, Plis SM.

Neuroimage. 2019 Feb 1;186:557-569. doi: 10.1016/j.neuroimage.2018.10.072. Epub 2018 Nov 5.

PMID:
30408598
27.

A method to compare the discriminatory power of data-driven methods: Application to ICA and IVA.

Levin-Schwartz Y, Calhoun VD, Adalı T.

J Neurosci Methods. 2019 Jan 1;311:267-276. doi: 10.1016/j.jneumeth.2018.10.008. Epub 2018 Oct 30.

PMID:
30389489
28.

Application of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain Graphs.

Yu Q, Du Y, Chen J, Sui J, Adali T, Pearlson G, Calhoun VD.

Proc IEEE Inst Electr Electron Eng. 2018 May;106(5):886-906. doi: 10.1109/JPROC.2018.2825200. Epub 2018 Apr 25.

PMID:
30364630
29.

A Schizophrenia-Related Genetic-Brain-Cognition Pathway Revealed in a Large Chinese Population.

Luo N, Sui J, Chen J, Zhang F, Tian L, Lin D, Song M, Calhoun VD, Cui Y, Vergara VM, Zheng F, Liu J, Yang Z, Zuo N, Fan L, Xu K, Liu S, Li J, Xu Y, Liu S, Lv L, Chen J, Chen Y, Guo H, Li P, Lu L, Wan P, Wang H, Wang H, Yan H, Yan J, Yang Y, Zhang H, Zhang D, Jiang T.

EBioMedicine. 2018 Nov;37:471-482. doi: 10.1016/j.ebiom.2018.10.009. Epub 2018 Oct 16.

30.

Neural dynamics of verbal working memory processing in children and adolescents.

Embury CM, Wiesman AI, Proskovec AL, Mills MS, Heinrichs-Graham E, Wang YP, Calhoun VD, Stephen JM, Wilson TW.

Neuroimage. 2019 Jan 15;185:191-197. doi: 10.1016/j.neuroimage.2018.10.038. Epub 2018 Oct 16.

PMID:
30336254
31.

A framework for linking resting-state chronnectome/genome features in schizophrenia: A pilot study.

Rashid B, Chen J, Rashid I, Damaraju E, Liu J, Miller R, Agcaoglu O, van Erp TGM, Lim KO, Turner JA, Mathalon DH, Ford JM, Voyvodic J, Mueller BA, Belger A, McEwen S, Potkin SG, Preda A, Bustillo JR, Pearlson GD, Calhoun VD.

Neuroimage. 2019 Jan 1;184:843-854. doi: 10.1016/j.neuroimage.2018.10.004. Epub 2018 Oct 6.

PMID:
30300752
32.

Spatio-Temporal Dynamics of Intrinsic Networks in Functional Magnetic Imaging Data Using Recurrent Neural Networks.

Hjelm RD, Damaraju E, Cho K, Laufs H, Plis SM, Calhoun VD.

Front Neurosci. 2018 Sep 20;12:600. doi: 10.3389/fnins.2018.00600. eCollection 2018.

33.

The role of diversity in data-driven analysis of multi-subject fMRI data: Comparison of approaches based on independence and sparsity using global performance metrics.

Long Q, Bhinge S, Levin-Schwartz Y, Boukouvalas Z, Calhoun VD, Adalı T.

Hum Brain Mapp. 2019 Feb 1;40(2):489-504. doi: 10.1002/hbm.24389. Epub 2018 Sep 21.

34.

Resting-State fMRI Dynamics and Null Models: Perspectives, Sampling Variability, and Simulations.

Miller RL, Abrol A, Adali T, Levin-Schwarz Y, Calhoun VD.

Front Neurosci. 2018 Sep 6;12:551. doi: 10.3389/fnins.2018.00551. eCollection 2018.

35.

The developmental trajectory of sensorimotor cortical oscillations.

Trevarrow MP, Kurz MJ, McDermott TJ, Wiesman AI, Mills MS, Wang YP, Calhoun VD, Stephen JM, Wilson TW.

Neuroimage. 2019 Jan 1;184:455-461. doi: 10.1016/j.neuroimage.2018.09.018. Epub 2018 Sep 12.

PMID:
30217545
36.

Source-based morphometry reveals gray matter differences related to suicidal behavior in criminal offenders.

Harenski CL, Harenski KA, Calhoun VD, Kiehl KA.

Brain Imaging Behav. 2018 Sep 13. doi: 10.1007/s11682-018-9957-2. [Epub ahead of print]

PMID:
30215220
37.

Decentralized Analysis of Brain Imaging Data: Voxel-Based Morphometry and Dynamic Functional Network Connectivity.

Gazula H, Baker BT, Damaraju E, Plis SM, Panta SR, Silva RF, Calhoun VD.

Front Neuroinform. 2018 Aug 27;12:55. doi: 10.3389/fninf.2018.00055. eCollection 2018.

38.

A resting state fMRI analysis pipeline for pooling inference across diverse cohorts: an ENIGMA rs-fMRI protocol.

Adhikari BM, Jahanshad N, Shukla D, Turner J, Grotegerd D, Dannlowski U, Kugel H, Engelen J, Dietsche B, Krug A, Kircher T, Fieremans E, Veraart J, Novikov DS, Boedhoe PSW, van der Werf YD, van den Heuvel OA, Ipser J, Uhlmann A, Stein DJ, Dickie E, Voineskos AN, Malhotra AK, Pizzagalli F, Calhoun VD, Waller L, Veer IM, Walter H, Buchanan RW, Glahn DC, Hong LE, Thompson PM, Kochunov P.

Brain Imaging Behav. 2018 Sep 6. doi: 10.1007/s11682-018-9941-x. [Epub ahead of print]

PMID:
30191514
39.

A Perspective of the Cross-Tissue Interplay of Genetics, Epigenetics, and Transcriptomics, and Their Relation to Brain Based Phenotypes in Schizophrenia.

Liu J, Chen J, Perrone-Bizzozero N, Calhoun VD.

Front Genet. 2018 Aug 23;9:343. doi: 10.3389/fgene.2018.00343. eCollection 2018. Review.

40.

A kernel machine method for detecting higher order interactions in multimodal datasets: Application to schizophrenia.

Alam MA, Lin HY, Deng HW, Calhoun VD, Wang YP.

J Neurosci Methods. 2018 Nov 1;309:161-174. doi: 10.1016/j.jneumeth.2018.08.027. Epub 2018 Sep 2.

41.

Salience-Default Mode Functional Network Connectivity Linked to Positive and Negative Symptoms of Schizophrenia.

Hare SM, Ford JM, Mathalon DH, Damaraju E, Bustillo J, Belger A, Lee HJ, Mueller BA, Lim KO, Brown GG, Preda A, van Erp TGM, Potkin SG, Calhoun VD, Turner JA.

Schizophr Bull. 2018 Aug 30. doi: 10.1093/schbul/sby112. [Epub ahead of print]

PMID:
30169884
42.

Relationships between alpha oscillations during speech preparation and the listener N400 ERP to the produced speech.

Bridwell DA, Henderson S, Sorge M, Plis S, Calhoun VD.

Sci Rep. 2018 Aug 27;8(1):12838. doi: 10.1038/s41598-018-31038-9.

43.

Machine learning in major depression: From classification to treatment outcome prediction.

Gao S, Calhoun VD, Sui J.

CNS Neurosci Ther. 2018 Nov;24(11):1037-1052. doi: 10.1111/cns.13048. Epub 2018 Aug 23. Review.

44.

Classification and Prediction of Brain Disorders Using Functional Connectivity: Promising but Challenging.

Du Y, Fu Z, Calhoun VD.

Front Neurosci. 2018 Aug 6;12:525. doi: 10.3389/fnins.2018.00525. eCollection 2018. Review.

45.

Connectome-based individualized prediction of temperament trait scores.

Jiang R, Calhoun VD, Zuo N, Lin D, Li J, Fan L, Qi S, Sun H, Fu Z, Song M, Jiang T, Sui J.

Neuroimage. 2018 Dec;183:366-374. doi: 10.1016/j.neuroimage.2018.08.038. Epub 2018 Aug 17.

PMID:
30125712
46.

Aberrant Dynamic Functional Network Connectivity and Graph Properties in Major Depressive Disorder.

Zhi D, Calhoun VD, Lv L, Ma X, Ke Q, Fu Z, Du Y, Yang Y, Yang X, Pan M, Qi S, Jiang R, Yu Q, Sui J.

Front Psychiatry. 2018 Jul 31;9:339. doi: 10.3389/fpsyt.2018.00339. eCollection 2018.

47.

Functional Neuroimaging Evidence for Distinct Neurobiological Pathways in Attention-Deficit/Hyperactivity Disorder.

Stevens MC, Pearlson GD, Calhoun VD, Bessette KL.

Biol Psychiatry Cogn Neurosci Neuroimaging. 2018 Aug;3(8):675-685. doi: 10.1016/j.bpsc.2017.09.005. Epub 2017 Sep 23.

PMID:
30092917
48.

Multimodal neuromarkers in schizophrenia via cognition-guided MRI fusion.

Sui J, Qi S, van Erp TGM, Bustillo J, Jiang R, Lin D, Turner JA, Damaraju E, Mayer AR, Cui Y, Fu Z, Du Y, Chen J, Potkin SG, Preda A, Mathalon DH, Ford JM, Voyvodic J, Mueller BA, Belger A, McEwen SC, O'Leary DS, McMahon A, Jiang T, Calhoun VD.

Nat Commun. 2018 Aug 2;9(1):3028. doi: 10.1038/s41467-018-05432-w.

49.

Reading the (functional) writing on the (structural) wall: Multimodal fusion of brain structure and function via a deep neural network based translation approach reveals novel impairments in schizophrenia.

Plis SM, Amin MF, Chekroud A, Hjelm D, Damaraju E, Lee HJ, Bustillo JR, Cho K, Pearlson GD, Calhoun VD.

Neuroimage. 2018 Nov 1;181:734-747. doi: 10.1016/j.neuroimage.2018.07.047. Epub 2018 Jul 25.

50.

Dynamic functional network connectivity discriminates mild traumatic brain injury through machine learning.

Vergara VM, Mayer AR, Kiehl KA, Calhoun VD.

Neuroimage Clin. 2018 Mar 15;19:30-37. doi: 10.1016/j.nicl.2018.03.017. eCollection 2018.

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