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Studying time-resolved functional connectivity via communication theory: on the complementary nature of phase synchronization and sliding window Pearson correlation.
Wiafe SL, Asante NO, Calhoun VD, Faghiri A. Wiafe SL, et al. bioRxiv [Preprint]. 2024 Nov 22:2024.06.12.598720. doi: 10.1101/2024.06.12.598720. bioRxiv. 2024. PMID: 38915498 Free PMC article. Preprint.
To accomplish our objective, we used resting-state fMRI data from the Human Connectome Project (HCP) with 827 subjects (repetition time: 0.72s) and the Function Biomedical Informatics Research Network (fBIRN) with 311 subjects (repetition time: 2s), which included 151 schi …
To accomplish our objective, we used resting-state fMRI data from the Human Connectome Project (HCP) with 827 subjects (repetition time: 0.7 …
Cross-cohort replicable resting-state functional connectivity in predicting symptoms and cognition of schizophrenia.
Zhao C, Jiang R, Bustillo J, Kochunov P, Turner JA, Liang C, Fu Z, Zhang D, Qi S, Calhoun VD. Zhao C, et al. Hum Brain Mapp. 2024 May;45(7):e26694. doi: 10.1002/hbm.26694. Hum Brain Mapp. 2024. PMID: 38727014 Free PMC article.
Predictable functional connections (FCs) were identified by employing an individualized prediction model, whose replicability was further evaluated across three independent cohorts (BSNIP, SZ = 174; COBRE, SZ = 100; FBIRN, SZ = 161). Across cohorts, we observed that altere …
Predictable functional connections (FCs) were identified by employing an individualized prediction model, whose replicability was further ev …
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.
Targeting Auditory Oddball task data on the FBIRN fMRI dataset (n = 95), we considered node-degree and link-weight network features and evaluated stability and generalization accuracy of statistically significant feature sets in discriminating patients vs. ...
Targeting Auditory Oddball task data on the FBIRN fMRI dataset (n = 95), we considered node-degree and link-weight network features a …
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 …
42 results