Cargando…

Comparison of traveling‐subject and ComBat harmonization methods for assessing structural brain characteristics

Multisite magnetic resonance imaging (MRI) is increasingly used in clinical research and development. Measurement biases—caused by site differences in scanner/image‐acquisition protocols—negatively influence the reliability and reproducibility of image‐analysis methods. Harmonization can reduce bias...

Descripción completa

Detalles Bibliográficos
Autores principales:	Maikusa, Norihide, Zhu, Yinghan, Uematsu, Akiko, Yamashita, Ayumu, Saotome, Kousaku, Okada, Naohiro, Kasai, Kiyoto, Okanoya, Kazuo, Yamashita, Okito, Tanaka, Saori C., Koike, Shinsuke
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley & Sons, Inc. 2021
Materias:	Research Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8519865/ https://www.ncbi.nlm.nih.gov/pubmed/34402132 http://dx.doi.org/10.1002/hbm.25615

Ejemplares similares

Application of a Machine Learning Algorithm for Structural Brain Images in Chronic Schizophrenia to Earlier Clinical Stages of Psychosis and Autism Spectrum Disorder: A Multiprotocol Imaging Dataset Study
por: Zhu, Yinghan, et al.
Publicado: (2022)

Structural brain abnormalities in schizophrenia patients with a history and presence of auditory verbal hallucination
por: Sone, Mari, et al.
Publicado: (2022)

Brain/MINDS beyond human brain MRI project: A protocol for multi-level harmonization across brain disorders throughout the lifespan
por: Koike, Shinsuke, et al.
Publicado: (2021)

Improved generalized ComBat methods for harmonization of radiomic features
por: Horng, Hannah, et al.
Publicado: (2022)

A Brain Morphometry Study with Across-Site Harmonization Using a ComBat-Generalized Additive Model in Children and Adolescents
por: Shiohama, Tadashi, et al.
Publicado: (2023)

ComBat Harmonization: Empirical Bayes versus fully Bayes approaches
por: Reynolds, Maxwell, et al.
Publicado: (2023)

Performance comparison of modified ComBat for harmonization of radiomic features for multicenter studies
por: Da-ano, R., et al.
Publicado: (2020)

A multi-scanner neuroimaging data harmonization using RAVEL and ComBat
por: Torbati, Mahbaneh Eshaghzadeh, et al.
Publicado: (2021)

Longitudinal ComBat: A method for harmonizing longitudinal multi-scanner imaging data()
por: Beer, Joanne C., et al.
Publicado: (2020)

Validation of cross-sectional and longitudinal ComBat harmonization methods for magnetic resonance imaging data on a travelling subject cohort
por: Richter, Sophie, et al.
Publicado: (2022)

Increased power by harmonizing structural MRI site differences with the ComBat batch adjustment method in ENIGMA
por: Radua, Joaquim, et al.
Publicado: (2020)

The Effects of In-Plane Spatial Resolution on CT-Based Radiomic Features’ Stability with and without ComBat Harmonization
por: Ibrahim, Abdalla, et al.
Publicado: (2021)

Generalized ComBat harmonization methods for radiomic features with multi-modal distributions and multiple batch effects
por: Horng, Hannah, et al.
Publicado: (2022)

White matter changes following electroconvulsive therapy for depression: a multicenter ComBat harmonization approach
por: Belge, Jean-Baptiste, et al.
Publicado: (2022)

A transfer learning approach to facilitate ComBat-based harmonization of multicentre radiomic features in new datasets
por: Da-ano, Ronrick, et al.
Publicado: (2021)

Characterization of the effects of outliers on ComBat harmonization for removing inter-site data heterogeneity in multisite neuroimaging studies
por: Han, Qichao, et al.
Publicado: (2023)

The Impact of Image Acquisition Parameters and ComBat Harmonization on the Predictive Performance of Radiomics: A Renal Cell Carcinoma Model
por: Ibrahim, Abdalla, et al.
Publicado: (2022)

Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias
por: Yamashita, Ayumu, et al.
Publicado: (2019)

A Decentralized ComBat Algorithm and Applications to Functional Network Connectivity
por: Bostami, Biozid, et al.
Publicado: (2022)

Harmonization of multi-site diffusion tensor imaging data for cervical and thoracic spinal cord at 1.5 T and 3 T using longitudinal ComBat
por: Middleton, Devon M., et al.
Publicado: (2023)

ComBat-seq: batch effect adjustment for RNA-seq count data
por: Zhang, Yuqing, et al.
Publicado: (2020)

Prediction of early improvement of major depressive disorder to antidepressant medication in adolescents with radiomics analysis after ComBat harmonization based on multiscale structural MRI
por: Ma, Huan, et al.
Publicado: (2023)

Recent Advances and Future Directions in Brain MR Imaging Studies in Schizophrenia: Toward Elucidating Brain Pathology and Developing Clinical Tools
por: Koike, Shinsuke, et al.
Publicado: (2021)

AutoComBat: a generic method for harmonizing MRI-based radiomic features
por: Carré, Alexandre, et al.
Publicado: (2022)

Preliminary report on harmonization of features extraction process using the ComBat tool in the multi-center “Blue Sky Radiomics” study on stage III unresectable NSCLC
por: Cabini, Raffaella Fiamma, et al.
Publicado: (2022)

Anatomical Templates of the Midbrain Ventral Tegmental Area and Substantia Nigra for Asian Populations
por: Nakamura, Yuko, et al.
Publicado: (2018)

Aberrant Large-Scale Network Interactions Across Psychiatric Disorders Revealed by Large-Sample Multi-Site Resting-State Functional Magnetic Resonance Imaging Datasets
por: Ishida, Takuya, et al.
Publicado: (2023)

The effect of acquisition duration on cerebral blood flow‐based resting‐state functional connectivity
por: Nakamura, Yuko, et al.
Publicado: (2022)

Comment on Ibrahim et al. The Effects of In-Plane Spatial Resolution on CT-Based Radiomic Features’ Stability with and without ComBat Harmonization. Cancers 2021, 13, 1848
por: Orlhac, Fanny, et al.
Publicado: (2021)

Removing batch effects from purified plasma cell gene expression microarrays with modified ComBat
por: Stein, Caleb K, et al.
Publicado: (2015)

DeepComBat: A Statistically Motivated, Hyperparameter-Robust, Deep Learning Approach to Harmonization of Neuroimaging Data
por: Hu, Fengling, et al.
Publicado: (2023)

Generalizable brain network markers of major depressive disorder across multiple imaging sites
por: Yamashita, Ayumu, et al.
Publicado: (2020)

Common Brain Networks Between Major Depressive-Disorder Diagnosis and Symptoms of Depression That Are Validated for Independent Cohorts
por: Yamashita, Ayumu, et al.
Publicado: (2021)

Harmonized Z-Scores Calculated from a Large-Scale Normal MRI Database to Evaluate Brain Atrophy in Neurodegenerative Disorders
por: Maikusa, Norihide, et al.
Publicado: (2022)

Generalizable neuromarker for autism spectrum disorder across imaging sites and developmental stages: A multi-site study
por: Itahashi, Takashi, et al.
Publicado: (2023)

Generalizable neuromarker for autism spectrum disorder across imaging sites and developmental stages: A multi-site study
por: Itahashi, Takashi, et al.
Publicado: (2023)

Reply to Orlhac, F.; Buvat, I. Comment on “Ibrahim et al. The Effects of In-Plane Spatial Resolution on CT-Based Radiomic Features’ Stability with and without ComBat Harmonization. Cancers 2021, 13, 1848”
por: Ibrahim, Abdalla, et al.
Publicado: (2021)

S144. THE ASSOCIATION BETWEEN BRAIN ACTIVITY IN THE PREFRONTAL CORTEX AND DEMOGRAPHIC VARIABLES: A LARGE-SAMPLE FUNCTIONAL NEAR-INFRARED SPECTROSCOPY STUDY
por: Koike, Shinsuke, et al.
Publicado: (2018)

Shared functional impairment in the prefrontal cortex affects symptom severity across psychiatric disorders
por: Koike, Shinsuke, et al.
Publicado: (2022)

Surface area in the insula was associated with 28-month functional outcome in first-episode psychosis
por: Koike, Shinsuke, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_hu2e74j163634v35c15jfuar1m