Ngā hua rapu - Cam‐CAN

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  1. 1
    Functional connectivity and structural covariance between regions of interest can be measured more accurately using multivariate distance correlation

    Functional connectivity and structural covariance between regions of interest can be measured more accurately using multivariate distance correlation mā Linda Geerligs, Cam‐CAN, Richard N. Henson

    I whakaputaina 2016
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    Artigo
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  2. 2
    Functional connectivity and structural covariance between regions of interest can be measured more accurately using multivariate distance correlation

    Functional connectivity and structural covariance between regions of interest can be measured more accurately using multivariate distance correlation mā Geerligs, Linda, Cam-CAN, Henson, Richard N.

    I whakaputaina 2016
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  3. 3
    State and Trait Components of Functional Connectivity: Individual Differences Vary with Mental State

    State and Trait Components of Functional Connectivity: Individual Differences Vary with Mental State mā Linda Geerligs, Mikail Rubinov, Cam‐CAN, Richard N. Henson

    I whakaputaina 2015
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    Artigo
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  4. 4
    Challenges in measuring individual differences in functional connectivity using fMRI: The case of healthy aging

    Challenges in measuring individual differences in functional connectivity using fMRI: The case of healthy aging mā Linda Geerligs, Kamen A. Tsvetanov, Cam‐CAN, Richard N. Henson

    I whakaputaina 2017
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  5. 5
    Challenges in measuring individual differences in functional connectivity using fMRI: The case of healthy aging

    Challenges in measuring individual differences in functional connectivity using fMRI: The case of healthy aging mā Geerligs, Linda, Tsvetanov, Kamen A., Cam‐CAN, Henson, Richard N.

    I whakaputaina 2017
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  6. 6
    Assessing dynamic functional connectivity in heterogeneous samples

    Assessing dynamic functional connectivity in heterogeneous samples mā Lehmann, B.C.L., White, S.R., Henson, R.N., Cam-CAN, Geerligs, L.

    I whakaputaina 2017
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  7. 7
    A watershed model of individual differences in fluid intelligence

    A watershed model of individual differences in fluid intelligence mā Rogier Kievit, Simon W. Davis, John D. Griffiths, Marta Correia, Cam‐CAN, Richard N. Henson

    I whakaputaina 2016
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    Artigo
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  8. 8
    Transient neural network dynamics in cognitive ageing

    Transient neural network dynamics in cognitive ageing mā Roni Tibon, Kamen A. Tsvetanov, Darren Price, David J. Nesbitt, Cam Can, Richard N. Henson

    I whakaputaina 2021
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    Artigo
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  9. 9
    A watershed model of individual differences in fluid intelligence

    A watershed model of individual differences in fluid intelligence mā Kievit, Rogier A., Davis, Simon W., Griffiths, John, Correia, Marta M., Cam-CAN, Henson, Richard N.

    I whakaputaina 2016
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  10. 10
    Erratum to “A watershed model of individual differences in fluid intelligence” [Neuropsychologia 91 (2016) 186–198]

    Erratum to “A watershed model of individual differences in fluid intelligence” [Neuropsychologia 91 (2016) 186–198] mā Kievit, Rogier A., Davis, Simon W., Griffiths, John, Correia, Marta M., Cam-CAN, Henson, Richard N.

    I whakaputaina 2017
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  11. 11
    Cerebral blood flow predicts multiple demand network activity and fluid intelligence across the adult lifespan

    Cerebral blood flow predicts multiple demand network activity and fluid intelligence across the adult lifespan mā Wu, Shuyi, Tyler, Lorraine K., Henson, Richard N.A., Rowe, James B., Cam-CAN, Tsvetanov, Kamen A.

    I whakaputaina 2022
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  12. 12
    Convergent evidence for hierarchical prediction networks from human electrocorticography and magnetoencephalography

    Convergent evidence for hierarchical prediction networks from human electrocorticography and magnetoencephalography mā Holly N. Phillips, Alejandro O. Blenkmann, Laura E. Hughes, Silvia Kochen, Tristán Bekinschtein, Cam‐CAN, James B. Rowe

    I whakaputaina 2016
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  13. 13
    Convergent evidence for hierarchical prediction networks from human electrocorticography and magnetoencephalography

    Convergent evidence for hierarchical prediction networks from human electrocorticography and magnetoencephalography mā Phillips, Holly N., Blenkmann, Alejandro, Hughes, Laura E., Kochen, Silvia, Bekinschtein, Tristan A., Cam-CAN, Rowe, James B.

    I whakaputaina 2016
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  14. 14
    Dispersion of functional gradients across the adult lifespan

    Dispersion of functional gradients across the adult lifespan mā Bethlehem, Richard A.I., Paquola, Casey, Seidlitz, Jakob, Ronan, Lisa, Bernhardt, Boris, Consortium, Cam-CAN, Tsvetanov, Kamen A.

    I whakaputaina 2020
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  15. 15
    Dispersion of functional gradients across the adult lifespan

    Dispersion of functional gradients across the adult lifespan mā Richard A.I. Bethlehem, Casey Paquola, Jakob Seidlitz, Lisa Ronan, Boris C. Bernhardt, Cam-CAN Consortium, Kamen A. Tsvetanov

    I whakaputaina 2020
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    Artigo
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  16. 16
    The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) data repository: Structural and functional MRI, MEG, and cognitive data from a cross-sectional adult lifespan sample

    The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) data repository: Structural and functional MRI, MEG, and cognitive data from a cross-sectional adult lifespan sample mā Jason R. Taylor, Nitin Williams, Rhodri Cusack, Tibor Auer, Meredith A. Shafto, Marie Dixon, Lorraine K. Tyler, Cam‐CAN, Richard N. Henson

    I whakaputaina 2015
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  17. 17
    The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) data repository: Structural and functional MRI, MEG, and cognitive data from a cross-sectional adult lifespan sample

    The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) data repository: Structural and functional MRI, MEG, and cognitive data from a cross-sectional adult lifespan sample mā Taylor, Jason R., Williams, Nitin, Cusack, Rhodri, Auer, Tibor, Shafto, Meredith A., Dixon, Marie, Tyler, Lorraine K., Cam-CAN, Henson, Richard N.

    I whakaputaina 2017
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  18. 18
    The effect of ageing on f<scp>MRI</scp>: Correction for the confounding effects of vascular reactivity evaluated by joint f<scp>MRI</scp> and <scp>MEG</scp> in 335 adults

    The effect of ageing on f<scp>MRI</scp>: Correction for the confounding effects of vascular reactivity evaluated by joint f<scp>MRI</scp> and <scp>MEG</scp> in 335 adults mā Kamen A. Tsvetanov, Richard N. Henson, Lorraine K. Tyler, Simon W. Davis, Meredith A. Shafto, Jason R. Taylor, Nitin Williams, Cam‐CAN, James B. Rowe

    I whakaputaina 2015
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