Resting-State fMRI Functional Connectivity: Big Data Preprocessing Pipelines and Topological Data Analysis

被引:29
|
作者
Phinyomark, Angkoon [1 ]
Ibanez-Marcelo, Esther [1 ]
Petri, Giovanni [1 ]
机构
[1] ISI Foundation, Turin,10126, Italy
来源
IEEE Transactions on Big Data | 2017年 / 3卷 / 04期
关键词
D O I
10.1109/TBDATA.2017.2734883
中图分类号
学科分类号
摘要
引用
收藏
页码:415 / 428
相关论文
共 50 条
  • [1] Advancing motion denoising of multiband resting-state functional connectivity fMRI data
    Williams, John C.
    Tubiolo, Philip N.
    Luceno, Jacob R.
    Van Snellenberg, Jared X.
    NEUROIMAGE, 2022, 249
  • [2] Model testing for distinctive functional connectivity gradients with resting-state fMRI data
    O'Rawe, Jonathan F.
    Ide, Jaime S.
    Leung, Hoi-Chung
    NEUROIMAGE, 2019, 185 : 102 - 110
  • [3] Functional brain connectivity in resting-state fMRI using phase and magnitude data
    Chen, Zikuan
    Caprihan, Arvind
    Damaraju, Eswar
    Rachakonda, Srinivas
    Calhoun, Vince
    JOURNAL OF NEUROSCIENCE METHODS, 2018, 293 : 299 - 309
  • [4] Hierarchical clustering to measure connectivity in fMRI resting-state data
    Cordes, D
    Haughton, V
    Carew, JD
    Arfanakis, K
    Maravilla, K
    MAGNETIC RESONANCE IMAGING, 2002, 20 (04) : 305 - 317
  • [5] RELIABILITY OF FUNCTIONAL CONNECTIVITY MEASURES IN RESTING-STATE TEST-RETEST FMRI DATA
    Galazzo, I. Boscolo
    Paolini, E.
    Endrizzi, W.
    Zumerle, F.
    Menegaz, G.
    Storti, S. F.
    2021 IEEE 18TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), 2021, : 1860 - 1863
  • [6] Evaluating the sensitivity of functional connectivity measures to motion artifact in resting-state fMRI data
    Mahadevan, Arun S.
    Tooley, Ursula A.
    Bertolero, Maxwell A.
    Mackey, Allyson P.
    Bassett, Danielle S.
    NEUROIMAGE, 2021, 241
  • [7] The influence of preprocessing steps on functional connectivity in resting state fMRI
    Gargouri, Fatma
    Delphine, Sebastien
    Lehericy, Stephan
    Ben Hamida, Ahmed
    2016 2ND INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES FOR SIGNAL AND IMAGE PROCESSING (ATSIP), 2016, : 103 - 107
  • [8] Improved estimation of dynamic connectivity from resting-state fMRI data
    Cai, Biao
    Stephen, Julia M.
    Wilson, Tony W.
    Calhoun, Vince D.
    Wang, Yu-Ping
    MEDICAL IMAGING 2019: IMAGE PROCESSING, 2019, 10949
  • [9] What Can Resting-State fMRI Data Analysis Explain about the Functional Brain Connectivity in Glioma Patients?
    Sighinolfi, Giovanni
    Mitolo, Micaela
    Testa, Claudia
    Martinoni, Matteo
    Evangelisti, Stefania
    Rochat, Magali Jane
    Zoli, Matteo
    Mazzatenta, Diego
    Lodi, Raffaele
    Tonon, Caterina
    TOMOGRAPHY, 2022, 8 (01) : 267 - 280
  • [10] Distributional representation of resting-state fMRI for functional brain connectivity analysis
    Zhu, Jiating
    Cao, Jiannong
    Zhu, Jiating (sophie._z@163.com), 1600, Elsevier B.V. (427): : 156 - 168