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

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. …”

Cerebellar responses during anticipation of noxious stimuli in subjects recovered from depression. Functional magnetic resonance imaging study. by Smith, K, Ploghaus, A, Cowen, P, McCleery, J, Goodwin, G, Smith, S, Tracey, I, Matthews, P

“…AIMS: To test whether women recovered from depression show abnormal brain activity in functional magnetic resonance imaging (fMRI) during a conditioning paradigm with a noxious pain stimulus. …”

Ventral striatum/nucleus accumbens activation to smoking-related pictorial cues in smokers and nonsmokers: a functional magnetic resonance imaging study. by David, S, Munafò, MR, Johansen-Berg, H, Smith, S, Rogers, R, Matthews, P, Walton, RT

“…METHODS: Twenty-six healthy right-handed volunteers (14 smokers and 12 nonsmoking controls) underwent functional magnetic resonance imaging (fMRI) during which neutral and smoking-related images were presented. …”

Evidence for asymmetric frontal-lobe involvement in episodic memory from functional magnetic resonance imaging and patients with unilateral frontal-lobe excisions. by Lee, A, Robbins, T, Smith, S, Calvert, G, Tracey, I, Matthews, P, Owen, A

Resting state networks change in clinically isolated syndrome. by Roosendaal, S, Schoonheim, M, Hulst, H, Sanz-Arigita, E, Smith, S, Geurts, J, Barkhof, F

“…Task-functional magnetic resonance imaging studies have shown that early cortical recruitment exists in multiple sclerosis, which can partly explain the discrepancy between conventional magnetic resonance imaging and clinical disability. …”

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. …”

Tools of the trade: psychophysiological interactions and functional connectivity. by O'Reilly, J, Woolrich, M, Behrens, T, Smith, S, Johansen-Berg, H

“…Psychophysiological interactions (PPIs) analysis is a method for investigating task-specific changes in the relationship between activity in different brain areas, using functional magnetic resonance imaging (fMRI) data. Specifically, PPI analyses identify voxels in which activity is more related to activity in a seed region of interest (seed ROI) in a given psychological context, such as during attention or in the presence of emotive stimuli. …”

Prioritizing new over old: an fMRI study of the preview search task. by Olivers, C, Smith, S, Matthews, P, Humphreys, G

“…Using functional magnetic resonance imaging, we replicate and extend findings showing the involvement of superior and inferior parietal areas in the preview task when compared to both a relatively easy single-set search task and a more effortful full-set search task. …”

Resting-state FMRI single subject cortical parcellation based on region growing. by Blumensath, T, Behrens, T, Smith, S

“…We propose a new method to parcellate the cerebral cortex based on spatial dependancy in the fluctuations observed with functional Magnetic Resonance Imaging (fMRI) during rest. Our surface-based approach uses a region growing method. …”

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. …”

The heritability of multi-modal connectivity in human brain activity by Colclough, G, Smith, S, Nichols, T, Winkler, A, Sotiropoulos, S, Glasser, M, Van Essen, D, Woolrich, M

“…Using functional magnetic resonance imaging (fMRI) on 820 subjects from the Human Connectome Project, and magnetoencephalographic (MEG) recordings from a subset, the heritability of connectivity between 39 cortical regions was estimated. …”

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. …”

Spatially constrained hierarchical parcellation of the brain with resting-state fMRI. by Blumensath, T, Jbabdi, S, Glasser, M, Van Essen, D, Ugurbil, K, Behrens, T, Smith, S

“…The approach exploits spatial dependency in the fluctuations observed with functional Magnetic Resonance Imaging (fMRI) during rest. Single subject parcellations are derived in a two stage procedure in which a set of (~1000 to 5000) stable seeds is grown into an initial detailed parcellation. …”

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. …”