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For: Maikusa N, Zhu Y, Uematsu A, Yamashita A, Saotome K, Okada N, Kasai K, Okanoya K, Yamashita O, Tanaka SC, Koike S. Comparison of traveling-subject and ComBat harmonization methods for assessing structural brain characteristics. Hum Brain Mapp 2021. [PMID: 34402132 DOI: 10.1002/hbm.25615] [Cited by in Crossref: 11] [Cited by in F6Publishing: 12] [Article Influence: 5.5] [Reference Citation Analysis]
Number Citing Articles
1 Yang B, Wang M, Zhou W, Wang X, Chen S, Potenza MN, Yuan LX, Dong GH. Disrupted network integration and segregation involving the default mode network in autism spectrum disorder. J Affect Disord 2023;323:309-19. [PMID: 36455716 DOI: 10.1016/j.jad.2022.11.083] [Reference Citation Analysis]
2 Wang Q, Aljassar M, Bhagwat N, Zeighami Y, Evans AC, Dagher A, Pike GB, Sadikot AF, Poline JB. Reproducibility of cerebellar involvement as quantified by consensus structural MRI biomarkers in advanced essential tremor. Sci Rep 2023;13:581. [PMID: 36631461 DOI: 10.1038/s41598-022-25306-y] [Reference Citation Analysis]
3 Solanes A, Gosling CJ, Fortea L, Ortuño M, Lopez-Soley E, Llufriu S, Madero S, Martinez-Heras E, Pomarol-Clotet E, Solana E, Vieta E, Radua J. Removing the effects of the site in brain imaging machine-learning - Measurement and extendable benchmark. Neuroimage 2023;265:119800. [PMID: 36481413 DOI: 10.1016/j.neuroimage.2022.119800] [Reference Citation Analysis]
4 Sone M, Koshiyama D, Zhu Y, Maikusa N, Okada N, Abe O, Yamasue H, Kasai K, Koike S. Structural brain abnormalities in schizophrenia patients with a history and presence of auditory verbal hallucination. Transl Psychiatry 2022;12:511. [PMID: 36543775 DOI: 10.1038/s41398-022-02282-5] [Reference Citation Analysis]
5 Richter S, Winzeck S, Correia MM, Kornaropoulos EN, Manktelow A, Outtrim J, Chatfield D, Posti JP, Tenovuo O, Williams GB, Menon DK, Newcombe VFJ. Validation of cross-sectional and longitudinal ComBat harmonization methods for magnetic resonance imaging data on a travelling subject cohort. Neuroimage Rep 2022;2:None. [PMID: 36507071 DOI: 10.1016/j.ynirp.2022.100136] [Reference Citation Analysis]
6 Wakasugi N, Takano H, Abe M, Sawamoto N, Murai T, Mizuno T, Matsuoka T, Yamakuni R, Yabe H, Matsuda H, Hanakawa T. Harmonization of dopamine transporter SPECT imaging improves segregation between patients with parkinson’s disease and healthy elderlies in multicentre cohort studies.. [DOI: 10.21203/rs.3.rs-2237619/v1] [Reference Citation Analysis]
7 Wang X, Wang X, Yang X, Yuan L. Gray Matter Network Associated With Attention in Children With Attention Deficit Hyperactivity Disorder. Front Psychiatry 2022;13:922720. [DOI: 10.3389/fpsyt.2022.922720] [Reference Citation Analysis]
8 Bell TK, Godfrey KJ, Ware AL, Yeates KO, Harris AD. Harmonization of multi-site MRS data with ComBat. Neuroimage 2022;:119330. [PMID: 35618196 DOI: 10.1016/j.neuroimage.2022.119330] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
9 Tian D, Zeng Z, Sun X, Tong Q, Li H, He H, Gao JH, He Y, Xia M. A deep learning-based multisite neuroimage harmonization framework established with a traveling-subject dataset. Neuroimage 2022;:119297. [PMID: 35568346 DOI: 10.1016/j.neuroimage.2022.119297] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
10 Treit S, Stolz E, Rickard JN, Mccreary CR, Bagshawe M, Frayne R, Lebel C, Emery D, Beaulieu C. Lifespan Volume Trajectories From Non–harmonized T1–Weighted MRI Do Not Differ After Site Correction Based on Traveling Human Phantoms. Front Neurol 2022;13:826564. [DOI: 10.3389/fneur.2022.826564] [Reference Citation Analysis]
11 Nigri A, Ferraro S, Gandini Wheeler-kingshott CAM, Tosetti M, Redolfi A, Forloni G, D'angelo E, Aquino D, Biagi L, Bosco P, Carne I, De Francesco S, Demichelis G, Gianeri R, Lagana MM, Micotti E, Napolitano A, Palesi F, Pirastru A, Savini G, Alberici E, Amato C, Arrigoni F, Baglio F, Bozzali M, Castellano A, Cavaliere C, Contarino VE, Ferrazzi G, Gaudino S, Marino S, Manzo V, Pavone L, Politi LS, Roccatagliata L, Rognone E, Rossi A, Tonon C, Lodi R, Tagliavini F, Bruzzone MG; The RIN–Neuroimaging. Quantitative MRI Harmonization to Maximize Clinical Impact: The RIN–Neuroimaging Network. Front Neurol 2022;13:855125. [DOI: 10.3389/fneur.2022.855125] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
12 Shiohama T, Tsujimura K. Quantitative Structural Brain Magnetic Resonance Imaging Analyses: Methodological Overview and Application to Rett Syndrome. Front Neurosci 2022;16:835964. [DOI: 10.3389/fnins.2022.835964] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
13 Chen LZ, Holmes AJ, Zuo XN, Dong Q. Neuroimaging brain growth charts: A road to mental health. Psychoradiology 2021;1:272-86. [PMID: 35028568 DOI: 10.1093/psyrad/kkab022] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
14 Itahashi T, Aoki YY, Yamashita A, Soda T, Fujino J, Ohta H, Aoki R, Nakamura M, Kato N, Tanaka SC, Kokuryo D, Hashimoto R. Effects of upgrading acquisition-techniques and harmonization methods: A multi-modal MRI study with implications for longitudinal designs.. [DOI: 10.1101/2021.10.31.466635] [Reference Citation Analysis]
15 Potvin O, Dieumegarde L, Duchesne S, the Alzheimer’s Disease Neuroimaging Initiative, the CIMA-Q, the CCNA groups. NOMIS: Quantifying morphometric deviations from normality over the lifetime of the adult human brain.. [DOI: 10.1101/2021.01.25.428063] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]