Probabilistic independent component analysis for functional magnetic resonance imaging. by Beckmann, C, Smith, S

Physiological noise modelling for spinal functional magnetic resonance imaging studies. by Brooks, J, Beckmann, C, Miller, K, Wise, R, Porro, C, Tracey, I, Jenkinson, M

Independent Component Analysis of Functional Magnetic Resonance Imaging Data Using Wavelet Dictionaries. by Johnson, R, Marchini, J, Smith, S, Beckmann, C

“…Functional Magnetic Resonance Imaging (FMRI) allows indirect observation of brain activity through changes in blood oxygenation, which are driven by neural activity. …”

Temporally-independent functional modes of spontaneous brain activity. by Smith, S, Miller, K, Moeller, S, Xu, J, Auerbach, E, Woolrich, M, Beckmann, C, Jenkinson, M, Andersson, J, Glasser, M, Van Essen, D, Feinberg, D, Yacoub, E, Ugurbil, K

“…Resting-state functional magnetic resonance imaging has become a powerful tool for the study of functional networks in the brain. …”

Temporally-independent functional modes of spontaneous brain activity by Smith, S, Miller, K, Moeller, S, Xu, J, Auerbach, E, Woolrich, M, Woolrich, M, Beckmann, C, Beckmann, C, Beckmann, C, Jenkinson, M, Andersson, J, Glasser, M, Van Essen, D, Feinberg, D, Feinberg, D, Yacoubb, E, Ugurbil, K

“…Resting-state functional magnetic resonance imaging has become a powerful tool for the study of functional networks in the brain. …”

Default mode network functional and structural connectivity after traumatic brain injury. by Sharp, D, Beckmann, C, Greenwood, R, Kinnunen, K, Bonnelle, V, De Boissezon, X, Powell, J, Counsell, S, Patel, M, Leech, R

“…Network function was investigated in detail using functional magnetic resonance imaging to analyse both regional brain activation, and the interaction of brain regions within a network (functional connectivity). …”

Default mode network functional and structural connectivity after traumatic brain injury by Sharp, D, Beckmann, C, Greenwood, R, Kinnunen, K, Bonnelle, V, De Boissezon, X, Powell, J, Counsell, S, Patel, M, Leech, R

“…Network function was investigated in detail using functional magnetic resonance imaging to analyse both regional brain activation, and the interaction of brain regions within a network (functional connectivity). …”

Advances in functional and structural MR image analysis and implementation as FSL. by Smith, S, Jenkinson, M, Woolrich, M, Beckmann, C, Behrens, T, Johansen-Berg, H, Bannister, P, De Luca, M, Drobnjak, I, Flitney, D, Niazy, R, Saunders, J, Vickers, J, Zhang, Y, De Stefano, N, Brady, J, Matthews, P

“…This research has focussed on the development of new methodologies for the analysis of both structural and functional magnetic resonance imaging data. The majority of the research laid out in this paper has been implemented as freely available software tools within FMRIB's Software Library (FSL).…”

Investigations into resting-state connectivity using independent component analysis. by Beckmann, C, DeLuca, M, Devlin, J, Smith, S

“…Inferring resting-state connectivity patterns from functional magnetic resonance imaging (fMRI) data is a challenging task for any analytical technique. …”

Color of scents: chromatic stimuli modulate odor responses in the human brain. by Osterbauer, R, Matthews, P, Jenkinson, M, Beckmann, C, Hansen, P, Calvert, G

“…Using functional magnetic resonance imaging, we demonstrate a neurophysiological correlate of these cross-modal visual influences on olfactory perception. …”

Mixture models with adaptive spatial regularization for segmentation with an application to FMRI data. by Woolrich, M, Behrens, T, Beckmann, C, Smith, S

“…We examine the behavior of this model when applied to artificial data with different spatial characteristics, and to functional magnetic resonance imaging SPMs.…”

Correspondence of the brain's functional architecture during activation and rest. by Smith, S, Fox, P, Miller, K, Glahn, D, Fox, P, Mackay, C, Filippini, N, Watkins, K, Toro, R, Laird, A, Beckmann, C

“…Independently, we extract the major covarying networks in the resting brain, as imaged with functional magnetic resonance imaging in 36 subjects at rest. The sets of major brain networks, and their decompositions into subnetworks, show close correspondence between the independent analyses of resting and activation brain dynamics. …”

Reduced resting-state brain activity in the "default network" in normal aging. by Damoiseaux, J, Beckmann, C, Arigita, E, Barkhof, F, Scheltens, P, Stam, C, Smith, S, Rombouts, SA

“…Here, we examined the functional properties of brain networks based on spontaneous fluctuations within brain systems using functional magnetic resonance imaging. We hypothesized that functional connectivity of intrinsic brain activity in the "default-mode" network (DMN) is affected by normal aging and that this relates to cognitive function. …”

Advances and pitfalls in the analysis and interpretation of resting-state FMRI data. by Cole, D, Smith, S, Beckmann, C

“…We describe the similarities and differences across these varied statistical approaches to processing resting-state functional magnetic resonance imaging signals, and conclude that further technical optimisation and experimental refinement is required in order to fully delineate and characterise the gross complexity of the human neural functional architecture.…”

Applying FSL to the FIAC data: model-based and model-free analysis of voice and sentence repetition priming. by Beckmann, C, Jenkinson, M, Woolrich, M, Behrens, T, Flitney, D, Devlin, J, Smith, S

“…We also discuss the application of tools for the correction of image distortions prior to the statistical analysis and the utility of recent advances in functional magnetic resonance imaging (FMRI) time series modeling and inference such as the use of optimal constrained HRF basis function modeling and mixture modeling inference. …”

Applying FSL to the FIAC data: Model-based and model-free analysis of voice and sentence repetition priming by Beckmann, C, Jenkinson, M, Woolrich, M, Behrens, T, Flitney, D, Devlin, J, Smith, S

“…We also discuss the application of tools for the correction of image distortions prior to the statistical analysis and the utility of recent advances in functional magnetic resonance imaging (FMRI) time series modeling and inference such as the use of optimal constrained HRF basis function modeling and mixture modeling inference. …”

Exacerbation of pain by anxiety is associated with activity in a hippocampal network. by Ploghaus, A, Narain, C, Beckmann, C, Clare, S, Bantick, S, Wise, R, Matthews, P, Rawlins, J, Tracey, I

“…Using event-related functional magnetic resonance imaging (FMRI), we compared activation responses to noxious thermal stimulation while perceived pain intensity was manipulated by changes in either physical intensity or induced anxiety. …”

Distinct and overlapping functional zones in the cerebellum defined by resting state functional connectivity. by O'Reilly, J, Beckmann, C, Tomassini, V, Ramnani, N, Johansen-Berg, H

“…We used resting-state functional magnetic resonance imaging to define subregions within the cerebellar cortex based on their functional connectivity with the cerebral cortex. …”

Removal of FMRI environment artifacts from EEG data using optimal basis sets. by Niazy, R, Beckmann, C, Iannetti, G, Brady, J, Smith, S

“…The combination of functional magnetic resonance imaging (FMRI) and electroencephalography (EEG) has received much recent attention, since it potentially offers a new tool for neuroscientists that makes simultaneous use of the strengths of the two modalities. …”

Intrinsically organized resting state networks in the human spinal cord. by Kong, Y, Eippert, F, Beckmann, C, Andersson, J, Finsterbusch, J, Büchel, C, Tracey, I, Brooks, J

“…Spontaneous fluctuations in functional magnetic resonance imaging (fMRI) signals of the brain have repeatedly been observed when no task or external stimulation is present. …”