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Hybrid brain model accurately predict human procrastination behavior.
Chen Z, Zhang R, Xie J, Liu P, Zhang C, Zhao J, Laplante JP, Feng T. Chen Z, et al. Cogn Neurodyn. 2022 Oct;16(5):1107-1121. doi: 10.1007/s11571-021-09765-z. Epub 2022 Jan 24. Cogn Neurodyn. 2022. PMID: 36237406 Free PMC article.
Further, we capitalized on the multiple Canonical Correlation Analysis (mCCA) and joint Independent Component Analysis algorithm (mCCA + jICA) to clarify its fusion neural components as well. The hybrid brain model showed high accuracy to discriminate HP and LP (accuracy r …
Further, we capitalized on the multiple Canonical Correlation Analysis (mCCA) and joint Independent Component Analysis algorithm (mCCA + …
The covariant structural and functional neuro-correlates of cognitive impairments in patients with end-stage renal diseases.
Liu Y, Wang H, Sha G, Cao Y, Chen Y, Chen Y, Zhang J, Chai C, Fan Q, Xia S. Liu Y, et al. Front Neurosci. 2024 Apr 15;18:1374948. doi: 10.3389/fnins.2024.1374948. eCollection 2024. Front Neurosci. 2024. PMID: 38686326 Free PMC article.

Moreover, the brain changes identified by FA and GMV in the above-mentioned brain regions were found to mediate the negative correlation between serum phosphate and mini-mental state examination (MMSE) scores (all p < 0.05). CONCLUSION: The mCCA+jICA method was demonstr

…
Moreover, the brain changes identified by FA and GMV in the above-mentioned brain regions were found to mediate the negative correlation bet …
Linked 4-Way Multimodal Brain Differences in Schizophrenia in a Large Chinese Han Population.
Liu S, Wang H, Song M, Lv L, Cui Y, Liu Y, Fan L, Zuo N, Xu K, Du Y, Yu Q, Luo N, Qi S, Yang J, Xie S, Li J, Chen J, Chen Y, Wang H, Guo H, Wan P, Yang Y, Li P, Lu L, Yan H, Yan J, Wang H, Zhang H, Zhang D, Calhoun VD, Jiang T, Sui J. Liu S, et al. Schizophr Bull. 2019 Mar 7;45(2):436-449. doi: 10.1093/schbul/sby045. Schizophr Bull. 2019. PMID: 29897555 Free PMC article.
Fusion analysis of gray matter and white matter in bipolar disorder by multimodal CCA-joint ICA.
Tang F, Yang H, Li L, Ji E, Fu Z, Zhang Z. Tang F, et al. J Affect Disord. 2020 Feb 15;263:80-88. doi: 10.1016/j.jad.2019.11.119. Epub 2019 Nov 29. J Affect Disord. 2020. PMID: 31818800
METHODS: We recorded multimodal sMRI-DTI data of 35 BD patients and 30 healthy controls (HC) and used multimodal canonical component analysis and joint independent component analysis (mCCA-jICA) to identify altered covariant structures in GM and WM of BD. ...
METHODS: We recorded multimodal sMRI-DTI data of 35 BD patients and 30 healthy controls (HC) and used multimodal canonical component analysi …
A Multimodal Fusion Analysis of Pretreatment Anatomical and Functional Cortical Abnormalities in Responsive and Non-responsive Schizophrenia.
Yao C, Hu N, Cao H, Tang B, Zhang W, Xiao Y, Zhao Y, Gong Q, Lui S. Yao C, et al. Front Psychiatry. 2021 Dec 1;12:737179. doi: 10.3389/fpsyt.2021.737179. eCollection 2021. Front Psychiatry. 2021. PMID: 34925087 Free PMC article.
Here, we used multiset canonical correlation and joint independent component analysis (mCCA + jICA) to fuse MRI data to examine the shared and specific multimodal features between the patients and healthy controls (HCs) and between the responders and non-responders. ...Gra …
Here, we used multiset canonical correlation and joint independent component analysis (mCCA + jICA) to fuse MRI data to examine the s …
Fusion analysis of gray matter and white matter in subjective cognitive decline and mild cognitive impairment by multimodal CCA-joint ICA.
Liang L, Chen Z, Wei Y, Tang F, Nong X, Li C, Yu B, Duan G, Su J, Mai W, Zhao L, Zhang Z, Deng D. Liang L, et al. Neuroimage Clin. 2021;32:102874. doi: 10.1016/j.nicl.2021.102874. Epub 2021 Nov 6. Neuroimage Clin. 2021. PMID: 34911186 Free PMC article.
MATERIALS AND METHODS: In the present study, we conducted fusion analysis of structural MRI and DTI by applying multimodal canonical correlation analysis with joint independent component analysis (mCCA-jICA) to capture the cross-information of gray matter (GM) and white ma …
MATERIALS AND METHODS: In the present study, we conducted fusion analysis of structural MRI and DTI by applying multimodal canonical correla …
Setting research priorities to improve global newborn health and prevent stillbirths by 2025.
Yoshida S, Martines J, Lawn JE, Wall S, Souza JP, Rudan I, Cousens S; neonatal health research priority setting group; Aaby P, Adam I, Adhikari RK, Ambalavanan N, Arifeen SE, Aryal DR, Asiruddin S, Baqui A, Barros AJ, Benn CS, Bhandari V, Bhatnagar S, Bhattacharya S, Bhutta ZA, Black RE, Blencowe H, Bose C, Brown J, Bührer C, Carlo W, Cecatti JG, Cheung PY, Clark R, Colbourn T, Conde-Agudelo A, Corbett E, Czeizel AE, Das A, Day LT, Deal C, Deorari A, Dilmen U, English M, Engmann C, Esamai F, Fall C, Ferriero DM, Gisore P, Hazir T, Higgins RD, Homer CS, Hoque DE, Irgens L, Islam MT, de Graft-Johnson J, Joshua MA, Keenan W, Khatoon S, Kieler H, Kramer MS, Lackritz EM, Lavender T, Lawintono L, Luhanga R, Marsh D, McMillan D, McNamara PJ, Mol BW, Molyneux E, Mukasa GK, Mutabazi M, Nacul LC, Nakakeeto M, Narayanan I, Olusanya B, Osrin D, Paul V, Poets C, Reddy UM, Santosham M, Sayed R, Schlabritz-Loutsevitch NE, Singhal N, Smith MA, Smith PG, Soofi S, Spong CY, Sultana S, Tshefu A, van Bel F, Gray LV, Waiswa P, Wang W, Williams SL, Wright L, Zaidi A, Zhang Y, Zhong N, Zuniga I, Bahl R. Yoshida S, et al. J Glob Health. 2016 Jun;6(1):010508. doi: 10.7189/jogh.06.010508. J Glob Health. 2016. PMID: 26401272 Free PMC article.