Search Results - "Zalesky, Andrew"

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  1. 1

    Towards a statistical test for functional connectivity dynamics by Zalesky, Andrew, Breakspear, Michael

    Published in NeuroImage (Orlando, Fla.) (01-07-2015)
    “…Sliding-window correlation is an emerging method for mapping time-resolved, resting-state functional connectivity. To avoid mapping spurious connectivity…”
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    Journal Article
  2. 2

    Machine learning prediction of cognition from functional connectivity: Are feature weights reliable? by Tian, Ye, Zalesky, Andrew

    Published in NeuroImage (Orlando, Fla.) (15-12-2021)
    “…Cognitive performance can be predicted from an individual's functional brain connectivity with modest accuracy using machine learning approaches. As yet,…”
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    Journal Article
  3. 3

    Building connectomes using diffusion MRI: why, how and but by Sotiropoulos, Stamatios N., Zalesky, Andrew

    Published in NMR in biomedicine (01-04-2019)
    “…Why has diffusion MRI become a principal modality for mapping connectomes in vivo? How do different image acquisition parameters, fiber tracking algorithms and…”
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  4. 4

    Graph analysis of the human connectome: Promise, progress, and pitfalls by Fornito, Alex, Zalesky, Andrew, Breakspear, Michael

    Published in NeuroImage (Orlando, Fla.) (15-10-2013)
    “…The human brain is a complex, interconnected network par excellence. Accurate and informative mapping of this human connectome has become a central goal of…”
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  5. 5

    Moderating registration misalignment in voxelwise comparisons of DTI data: a performance evaluation of skeleton projection by Zalesky, Andrew

    Published in Magnetic resonance imaging (2011)
    “…Abstract An evaluative methodology and five accompanying performance measures were developed to quantitatively assess the performance of the skeleton…”
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  6. 6

    Network-based statistic: Identifying differences in brain networks by Zalesky, Andrew, Fornito, Alex, Bullmore, Edward T.

    Published in NeuroImage (Orlando, Fla.) (01-12-2010)
    “…Large-scale functional or structural brain connectivity can be modeled as a network, or graph. This paper presents a statistical approach to identify…”
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  7. 7

    Criticality in the brain: A synthesis of neurobiology, models and cognition by Cocchi, Luca, Gollo, Leonardo L, Zalesky, Andrew, Breakspear, Michael

    Published in Progress in neurobiology (01-11-2017)
    “…Cognitive function requires the coordination of neural activity across many scales, from neurons and circuits to large-scale networks. As such, it is unlikely…”
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  8. 8

    Time-resolved resting-state brain networks by Zalesky, Andrew, Fornito, Alex, Cocchi, Luca, Gollo, Leonardo L., Breakspear, Michael

    “…Neuronal dynamics display a complex spatiotemporal structure involving the precise, context-dependent coordination of activation patterns across a large number…”
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  9. 9

    Inferring neural signalling directionality from undirected structural connectomes by Seguin, Caio, Razi, Adeel, Zalesky, Andrew

    Published in Nature communications (19-09-2019)
    “…Neural information flow is inherently directional. To date, investigation of directional communication in the human structural connectome has been precluded by…”
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  10. 10

    On the use of correlation as a measure of network connectivity by Zalesky, Andrew, Fornito, Alex, Bullmore, Ed

    Published in NeuroImage (Orlando, Fla.) (01-05-2012)
    “…Numerous studies have demonstrated that brain networks derived from neuroimaging data have nontrivial topological features, such as small-world organization,…”
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  11. 11

    Competitive and cooperative dynamics of large-scale brain functional networks supporting recollection by Fornito, Alex, Harrison, Ben J, Zalesky, Andrew, Simons, Jon S

    “…Analyses of functional interactions between large-scale brain networks have identified two broad systems that operate in apparent competition or antagonism…”
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  12. 12

    Using Brain Imaging to Improve Spatial Targeting of Transcranial Magnetic Stimulation for Depression by Cash, Robin F.H., Weigand, Anne, Zalesky, Andrew, Siddiqi, Shan H., Downar, Jonathan, Fitzgerald, Paul B., Fox, Michael D.

    Published in Biological psychiatry (1969) (15-11-2021)
    “…Transcranial magnetic stimulation (TMS) is an effective treatment for depression but is limited in that the optimal therapeutic target remains unknown. Early…”
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  13. 13

    Intracranial brain stimulation modulates fMRI-based network switching by Pedersen, Mangor, Zalesky, Andrew

    Published in Neurobiology of disease (01-08-2021)
    “…The extent to which functional MRI (fMRI) reflects direct neuronal changes remains unknown. Using 160 simultaneous electrical stimulation (es-fMRI) and…”
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  14. 14

    Proportional thresholding in resting-state fMRI functional connectivity networks and consequences for patient-control connectome studies: Issues and recommendations by van den Heuvel, Martijn P., de Lange, Siemon C., Zalesky, Andrew, Seguin, Caio, Yeo, B.T. Thomas, Schmidt, Ruben

    Published in NeuroImage (Orlando, Fla.) (15-05-2017)
    “…Graph theoretical analysis has become an important tool in the examination of brain dysconnectivity in neurological and psychiatric brain disorders. A common…”
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    Journal Article
  15. 15

    Similar but distinct – Effects of different socioeconomic indicators on resting state functional connectivity: Findings from the Adolescent Brain Cognitive Development (ABCD) Study by Rakesh, Divyangana, Zalesky, Andrew, Whittle, Sarah

    Published in Developmental cognitive neuroscience (01-10-2021)
    “…Early socioeconomic status (SES) has consistently been associated with child health and cognitive outcomes, in addition to alterations in brain function and…”
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  16. 16

    Network communication models narrow the gap between the modular organization of structural and functional brain networks by Seguin, Caio, Mansour L, Sina, Sporns, Olaf, Zalesky, Andrew, Calamante, Fernando

    Published in NeuroImage (Orlando, Fla.) (15-08-2022)
    “…•The structural and functional modules of brain networks are not aligned.•Not all regions within a functional module are anatomically connected.•Network…”
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  17. 17

    Personalized connectivity‐guided DLPFC‐TMS for depression: Advancing computational feasibility, precision and reproducibility by Cash, Robin F.H., Cocchi, Luca, Lv, Jinglei, Wu, Yumeng, Fitzgerald, Paul B., Zalesky, Andrew

    Published in Human brain mapping (01-09-2021)
    “…Repetitive transcranial magnetic stimulation (rTMS) of the dorsolateral prefrontal cortex (DLPFC) is an established treatment for refractory depression,…”
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  18. 18

    Connectome sensitivity or specificity: which is more important? by Zalesky, Andrew, Fornito, Alex, Cocchi, Luca, Gollo, Leonardo L., van den Heuvel, Martijn P., Breakspear, Michael

    Published in NeuroImage (Orlando, Fla.) (15-11-2016)
    “…Connectomes with high sensitivity and high specificity are unattainable with current axonal fiber reconstruction methods, particularly at the macro-scale…”
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  19. 19

    High-resolution connectomic fingerprints: Mapping neural identity and behavior by Mansour L, Sina, Tian, Ye, Yeo, B.T. Thomas, Cropley, Vanessa, Zalesky, Andrew

    Published in NeuroImage (Orlando, Fla.) (01-04-2021)
    “…Connectomes are typically mapped at low resolution based on a specific brain parcellation atlas. Here, we investigate high-resolution connectomes independent…”
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  20. 20

    Network communication models improve the behavioral and functional predictive utility of the human structural connectome by Seguin, Caio, Tian, Ye, Zalesky, Andrew

    Published in Network neuroscience (Cambridge, Mass.) (01-11-2020)
    “…The connectome provides the structural substrate facilitating communication between brain regions. We aimed to establish whether accounting for polysynaptic…”
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