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Using dimensionality-reduction techniques to understand the organization of psychotic symptoms in persistent psychotic illness and first episode psychosis.
Fleming LM, Lemonde AC, Benrimoh D, Gold JM, Taylor JR, Malla A, Joober R, Iyer SN, Lepage M, Shah J, Corlett PR. Fleming LM, et al. Sci Rep. 2023 Mar 24;13(1):4841. doi: 10.1038/s41598-023-31909-w. Sci Rep. 2023. PMID: 36964175 Free PMC article.
We analyzed publicly-available data from 153 participants diagnosed with schizophrenia or schizoaffective disorder (fBIRN Data Repository and the Consortium for Neuropsychiatric Phenomics), as well as 636 first-episode psychosis (FEP) participants from the Prevention and E …
We analyzed publicly-available data from 153 participants diagnosed with schizophrenia or schizoaffective disorder (fBIRN Data Reposi …
Resting state fMRI scanner instabilities revealed by longitudinal phantom scans in a multi-center study.
Kayvanrad A, Arnott SR, Churchill N, Hassel S, Chemparathy A, Dong F, Zamyadi M, Gee T, Bartha R, Black SE, Lawrence-Dewar JM, Scott CJM, Symons S, Davis AD, Hall GB, Harris J, Lobaugh NJ, MacQueen G, Woo C, Strother S; ONDRI Founding Investigators; CAN-BIND Investigators. Kayvanrad A, et al. Neuroimage. 2021 Aug 15;237:118197. doi: 10.1016/j.neuroimage.2021.118197. Epub 2021 May 21. Neuroimage. 2021. PMID: 34029737 Free article.
QA parameters were calculated for each scan using the functional Biomarker Imaging Research Network's (fBIRN) QA phantom and pipeline to capture between- and within-scanner variability. We also describe a QA protocol to measure the full-width-at-half-maximum (FWHM) of slic …
QA parameters were calculated for each scan using the functional Biomarker Imaging Research Network's (fBIRN) QA phantom and pipeline …
Learning stable and predictive network-based patterns of schizophrenia and its clinical symptoms.
Gheiratmand M, Rish I, Cecchi GA, Brown MRG, Greiner R, Polosecki PI, Bashivan P, Greenshaw AJ, Ramasubbu R, Dursun SM. Gheiratmand M, et al. NPJ Schizophr. 2017 May 16;3:22. doi: 10.1038/s41537-017-0022-8. eCollection 2017. NPJ Schizophr. 2017. PMID: 28560268 Free PMC article.
In order to build a predictive model based on functional network feature patterns, we studied whole-brain fMRI functional networks, both at the voxel level and lower-resolution supervoxel level. Targeting Auditory Oddball task data on the FBIRN fMRI dataset (n = 95), we co …
In order to build a predictive model based on functional network feature patterns, we studied whole-brain fMRI functional networks, both at …
Supervised multimodal fusion and its application in searching joint neuromarkers of working memory deficits in schizophrenia.
Shile Qi, Calhoun VD, van Erp TG, Damaraju E, Bustillo J, Yuhui Du, Turner JA, Mathalon DH, Ford JM, Voyvodic J, Mueller BA, Belger A, McEwen S, Potkin SG, Preda A, Birn F, Tianzi Jiang, Jing Sui. Shile Qi, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:4021-4026. doi: 10.1109/EMBC.2016.7591609. Annu Int Conf IEEE Eng Med Biol Soc. 2016. PMID: 28269167
Features from 3 modalities (fMRI, sMRI, dMRI) obtained from 147 schizophrenia patients and 147 age-matched healthy controls were included as fusion input, who participated in the Function Biomedical Informatics Research Network (FBIRN) Phase III study. Our aim was to inves …
Features from 3 modalities (fMRI, sMRI, dMRI) obtained from 147 schizophrenia patients and 147 age-matched healthy controls were included as …
Human subcortical brain asymmetries in 15,847 people worldwide reveal effects of age and sex.
Guadalupe T, Mathias SR, vanErp TGM, Whelan CD, Zwiers MP, Abe Y, Abramovic L, Agartz I, Andreassen OA, Arias-Vásquez A, Aribisala BS, Armstrong NJ, Arolt V, Artiges E, Ayesa-Arriola R, Baboyan VG, Banaschewski T, Barker G, Bastin ME, Baune BT, Blangero J, Bokde ALW, Boedhoe PSW, Bose A, Brem S, Brodaty H, Bromberg U, Brooks S, Büchel C, Buitelaar J, Calhoun VD, Cannon DM, Cattrell A, Cheng Y, Conrod PJ, Conzelmann A, Corvin A, Crespo-Facorro B, Crivello F, Dannlowski U, de Zubicaray GI, de Zwarte SMC, Deary IJ, Desrivières S, Doan NT, Donohoe G, Dørum ES, Ehrlich S, Espeseth T, Fernández G, Flor H, Fouche JP, Frouin V, Fukunaga M, Gallinat J, Garavan H, Gill M, Suarez AG, Gowland P, Grabe HJ, Grotegerd D, Gruber O, Hagenaars S, Hashimoto R, Hauser TU, Heinz A, Hibar DP, Hoekstra PJ, Hoogman M, Howells FM, Hu H, Hulshoff Pol HE, Huyser C, Ittermann B, Jahanshad N, Jönsson EG, Jurk S, Kahn RS, Kelly S, Kraemer B, Kugel H, Kwon JS, Lemaitre H, Lesch KP, Lochner C, Luciano M, Marquand AF, Martin NG, Martínez-Zalacaín I, Martinot JL, Mataix-Cols D, Mather K, McDonald C, McMahon KL, Medland SE, Menchón JM, Morris DW, Mothersill O, Maniega SM, Mwangi B, Nakamae T, Nakao T, Narayanaswaam… See abstract for full author list ➔ Guadalupe T, et al. Brain Imaging Behav. 2017 Oct;11(5):1497-1514. doi: 10.1007/s11682-016-9629-z. Brain Imaging Behav. 2017. PMID: 27738994 Free PMC article.
40 results