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  • Wiley  (5)
  • Guo, Lei  (5)
  • 1
    Online Resource
    Online Resource
    Latent source mining in FMRI via restricted Boltzmann machine
    Wiley ; 2018
    In:  Human Brain Mapping Vol. 39, No. 6 ( 2018-06), p. 2368-2380
    Details
    In: Human Brain Mapping, Wiley, Vol. 39, No. 6 ( 2018-06), p. 2368-2380
    Abstract: Blind source separation (BSS) is commonly used in functional magnetic resonance imaging (fMRI) data analysis. Recently, BSS models based on restricted Boltzmann machine (RBM), one of the building blocks of deep learning models, have been shown to improve brain network identification compared to conventional single matrix factorization models such as independent component analysis (ICA). These models, however, trained RBM on fMRI volumes, and are hence challenged by model complexity and limited training set. In this article, we propose to apply RBM to fMRI time courses instead of volumes for BSS. The proposed method not only interprets fMRI time courses explicitly to take advantages of deep learning models in latent feature learning but also substantially reduces model complexity and increases the scale of training set to improve training efficiency. Our experimental results based on Human Connectome Project (HCP) datasets demonstrated the superiority of the proposed method over ICA and the one that applied RBM to fMRI volumes in identifying task‐related components, resulted in more accurate and specific representations of task‐related activations. Moreover, our method separated out components representing intermixed effects between task events, which could reflect inherent interactions among functionally connected brain regions. Our study demonstrates the value of RBM in mining complex structures embedded in large‐scale fMRI data and its potential as a building block for deeper models in fMRI data analysis.
    Type of Medium: Online Resource
    ISSN: 1065-9471 , 1097-0193
    URL: Issue
    URL: Article
    DOI: 10.1002/hbm.v39.6
    DOI: 10.1002/hbm.24005
    Language: English
    Publisher: Wiley
    Publication Date: 2018
    detail.hit.zdb_id: 1492703-2
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  • 2
    Online Resource
    Online Resource
    Test–retest reliability of functional connectivity networks during naturalistic fMRI paradigms
    Wiley ; 2017
    In:  Human Brain Mapping Vol. 38, No. 4 ( 2017-04), p. 2226-2241
    Details
    In: Human Brain Mapping, Wiley, Vol. 38, No. 4 ( 2017-04), p. 2226-2241
    Abstract: Functional connectivity analysis has become a powerful tool for probing the human brain function and its breakdown in neuropsychiatry disorders. So far, most studies adopted resting‐state paradigm to examine functional connectivity networks in the brain, thanks to its low demand and high tolerance that are essential for clinical studies. However, the test–retest reliability of resting‐state connectivity measures is moderate, potentially due to its low behavioral constraint. On the other hand, naturalistic neuroimaging paradigms, an emerging approach for cognitive neuroscience with high ecological validity, could potentially improve the reliability of functional connectivity measures. To test this hypothesis, we characterized the test–retest reliability of functional connectivity measures during a natural viewing condition, and benchmarked it against resting‐state connectivity measures acquired within the same functional magnetic resonance imaging (fMRI) session. We found that the reliability of connectivity and graph theoretical measures of brain networks is significantly improved during natural viewing conditions over resting‐state conditions, with an average increase of almost 50% across various connectivity measures. Not only sensory networks for audio–visual processing become more reliable, higher order brain networks, such as default mode and attention networks, but also appear to show higher reliability during natural viewing. Our results support the use of natural viewing paradigms in estimating functional connectivity of brain networks, and have important implications for clinical application of fMRI. Hum Brain Mapp 38:2226–2241, 2017 . © 2017 Wiley Periodicals, Inc.
    Type of Medium: Online Resource
    ISSN: 1065-9471 , 1097-0193
    URL: Issue
    URL: Article
    DOI: 10.1002/hbm.v38.4
    DOI: 10.1002/hbm.23517
    Language: English
    Publisher: Wiley
    Publication Date: 2017
    detail.hit.zdb_id: 1492703-2
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  • 3
    Online Resource
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    Gyral peaks: Novel gyral landmarks in developing macaque brains
    Wiley ; 2022
    In:  Human Brain Mapping Vol. 43, No. 15 ( 2022-10-15), p. 4540-4555
    Details
    In: Human Brain Mapping, Wiley, Vol. 43, No. 15 ( 2022-10-15), p. 4540-4555
    Abstract: Cerebral cortex development undergoes a variety of processes, which provide valuable information for the study of the developmental mechanism of cortical folding as well as its relationship to brain structural architectures and brain functions. Despite the variability in the anatomy–function relationship on the higher‐order cortex, recent studies have succeeded in identifying typical cortical landmarks, such as sulcal pits, that bestow specific functional and cognitive patterns and remain invariant across subjects and ages with their invariance being related to a gene‐mediated proto‐map. Inspired by the success of these studies, we aim in this study at defining and identifying novel cortical landmarks, termed gyral peaks, which are the local highest foci on gyri. By analyzing data from 156 MRI scans of 32 macaque monkeys with the age spanned from 0 to 36 months, we identified 39 and 37 gyral peaks on the left and right hemispheres, respectively. Our investigation suggests that these gyral peaks are spatially consistent across individuals and relatively stable within the age range of this dataset. Moreover, compared with other gyri, gyral peaks have a thicker cortex, higher mean curvature, more pronounced hub‐like features in structural connective networks, and are closer to the borders of structural connectivity‐based cortical parcellations. The spatial distribution of gyral peaks was shown to correlate with that of other cortical landmarks, including sulcal pits. These results provide insights into the spatial arrangement and temporal development of gyral peaks as well as their relation to brain structure and function.
    Type of Medium: Online Resource
    ISSN: 1065-9471 , 1097-0193
    URL: Issue
    URL: Article
    DOI: 10.1002/hbm.v43.15
    DOI: 10.1002/hbm.25971
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 1492703-2
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  • 4
    Online Resource
    Online Resource
    Inferring functional interaction and transition patterns via dynamic bayesian variable partition models : Inferring Functional Interaction and Transition Patterns
    Wiley ; 2014
    In:  Human Brain Mapping Vol. 35, No. 7 ( 2014-07), p. 3314-3331
    Details
    In: Human Brain Mapping, Wiley, Vol. 35, No. 7 ( 2014-07), p. 3314-3331
    Type of Medium: Online Resource
    ISSN: 1065-9471
    URL: Article
    DOI: 10.1002/hbm.22404
    Language: English
    Publisher: Wiley
    Publication Date: 2014
    detail.hit.zdb_id: 1492703-2
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  • 5
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    Test–retest reliability of dynamic functional connectivity in naturalistic paradigm functional magnetic resonance imaging
    Wiley ; 2022
    In:  Human Brain Mapping Vol. 43, No. 4 ( 2022-03), p. 1463-1476
    Details
    In: Human Brain Mapping, Wiley, Vol. 43, No. 4 ( 2022-03), p. 1463-1476
    Abstract: Dynamic functional connectivity (dFC) has been increasingly used to characterize the brain transient temporal functional patterns and their alterations in diseased brains. Meanwhile, naturalistic neuroimaging paradigms have been an emerging approach for cognitive neuroscience with high ecological validity. However, the test–retest reliability of dFC in naturalistic paradigm neuroimaging is largely unknown. To address this issue, we examined the test–retest reliability of dFC in functional magnetic resonance imaging (fMRI) under natural viewing condition. The intraclass correlation coefficients (ICC) of four dFC statistics including standard deviation (Std), coefficient of variation (COV), amplitude of low frequency fluctuation (ALFF), and excursion (Excursion) were used to measure the test–retest reliability. The test–retest reliability of dFC in naturalistic viewing condition was then compared with that under resting state. Our experimental results showed that: (a) Global test–retest reliability of dFC was much lower than that of static functional connectivity (sFC) in both resting‐state and naturalistic viewing conditions; (b) Both global and local (including visual, limbic and default mode networks) test–retest reliability of dFC could be significantly improved in naturalistic viewing condition compared to that in resting state; (c) There existed strong negative correlation between sFC and dFC, weak negative correlation between dFC and dFC‐ICC (i.e., ICC of dFC), as well as weak positive correlation between dFC‐ICC and sFC‐ICC (i.e., ICC of sFC). The present study provides novel evidence for the promotion of naturalistic paradigm fMRI in functional brain network studies.
    Type of Medium: Online Resource
    ISSN: 1065-9471 , 1097-0193
    URL: Issue
    URL: Article
    DOI: 10.1002/hbm.v43.4
    DOI: 10.1002/hbm.25736
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 1492703-2
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