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zadetkov: 2.114
1.
  • Understanding brain organis... Understanding brain organisation in the face of functional heterogeneity and functional multiplicity
    Haak, Koen V.; Beckmann, Christian F. NeuroImage (Orlando, Fla.), 10/2020, Letnik: 220
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    Understanding the fundamental organisation of the brain in terms of functional specialisation and integration is one of the principal aims of imaging neuroscience. Many investigations into the ...
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2.
  • Automatic denoising of func... Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers
    Salimi-Khorshidi, Gholamreza; Douaud, Gwenaëlle; Beckmann, Christian F. ... NeuroImage (Orlando, Fla.), 04/2014, Letnik: 90
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    Many sources of fluctuation contribute to the fMRI signal, and this makes identifying the effects that are truly related to the underlying neuronal activity difficult. Independent component analysis ...
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3.
  • Fractionating the default m... Fractionating the default mode network: distinct contributions of the ventral and dorsal posterior cingulate cortex to cognitive control
    Leech, Robert; Kamourieh, Salwa; Beckmann, Christian F ... The Journal of neuroscience, 2011-Mar-02, 2011-03-02, 20110302, Letnik: 31, Številka: 9
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    The posterior cingulate cortex (PCC) is a central part of the default mode network (DMN) and part of the structural core of the brain. Although the PCC often shows consistent deactivation when ...
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4.
  • From estimating activation ... From estimating activation locality to predicting disorder: A review of pattern recognition for neuroimaging-based psychiatric diagnostics
    Wolfers, Thomas; Buitelaar, Jan K; Beckmann, Christian F ... Neuroscience and biobehavioral reviews, 10/2015, Letnik: 57
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    Psychiatric disorders are increasingly being recognised as having a biological basis, but their diagnosis is made exclusively behaviourally. A promising approach for 'biomarker' discovery has been ...
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5.
  • Evaluation of ICA-AROMA and... Evaluation of ICA-AROMA and alternative strategies for motion artifact removal in resting state fMRI
    Pruim, Raimon H R; Mennes, Maarten; Buitelaar, Jan K ... NeuroImage (Orlando, Fla.), 05/2015, Letnik: 112
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    We proposed ICA-AROMA as a strategy for the removal of motion-related artifacts from fMRI data (Pruim et al., 2015). ICA-AROMA automatically identifies and subsequently removes data-driven derived ...
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  • Resting-state functional co... Resting-state functional connectivity in major depressive disorder: A review
    Mulders, Peter C; van Eijndhoven, Philip F; Schene, Aart H ... Neuroscience and biobehavioral reviews 56
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    Major depressive disorder (MDD) affects multiple large-scale functional networks in the brain, which has initiated a large number of studies on resting-state functional connectivity in depression. We ...
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  • ICA-AROMA: A robust ICA-bas... ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data
    Pruim, Raimon H R; Mennes, Maarten; van Rooij, Daan ... NeuroImage (Orlando, Fla.), 05/2015, Letnik: 112
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    Head motion during functional MRI (fMRI) scanning can induce spurious findings and/or harm detection of true effects. Solutions have been proposed, including deleting ('scrubbing') or regressing out ...
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  • Hand classification of fMRI... Hand classification of fMRI ICA noise components
    Griffanti, Ludovica; Douaud, Gwenaëlle; Bijsterbosch, Janine ... NeuroImage (Orlando, Fla.), 07/2017, Letnik: 154
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    We present a practical “how-to” guide to help determine whether single-subject fMRI independent components (ICs) characterise structured noise or not. Manual identification of signal and noise after ...
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9.
  • Individual differences v. the average patient: mapping the heterogeneity in ADHD using normative models
    Wolfers, Thomas; Beckmann, Christian F; Hoogman, Martine ... Psychological medicine, 01/2020, Letnik: 50, Številka: 2
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    The present paper presents a fundamentally novel approach to model individual differences of persons with the same biologically heterogeneous mental disorder. Unlike prevalent case-control analyses, ...
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10.
  • Distinct Cerebellar Contrib... Distinct Cerebellar Contributions to Intrinsic Connectivity Networks
    Habas, Christophe; Kamdar, Nirav; Nguyen, Daniel ... The Journal of neuroscience, 07/2009, Letnik: 29, Številka: 26
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    Convergent data from various scientific approaches strongly implicate cerebellar systems in nonmotor functions. The functional anatomy of these systems has been pieced together from disparate ...
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