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

Brainstem functional magnetic resonance imaging: disentangling signal from physiological noise. by Harvey, A, Pattinson, K, Brooks, J, Mayhew, S, Jenkinson, M, Wise, R

“…PURPOSE: To estimate the importance of respiratory and cardiac effects on signal variability found in functional magnetic resonance imaging data recorded from the brainstem. …”

Development of a functional magnetic resonance imaging simulator for modeling realistic rigid-body motion artifacts. by Drobnjak, I, Gavaghan, D, Süli, E, Pitt-Francis, J, Jenkinson, M

“…Functional magnetic resonance imaging (FMRI) is a noninvasive method of imaging brain function in vivo. …”

Integrating temporal information with a non-rigid method of motion correction for functional magnetic resonance images by Bannister, P, Brady, J, Jenkinson, M

Development of a functional magnetic resonance imaging simulator for modeling realistic rigid−body motion artifacts by Drobnjak, I, Gavaghan, D, Suli, E, Pitt−Francis, J, Jenkinson, M

“…Functional magnetic resonance imaging (FMRI) is a noninvasive method of imaging brain function in vivo. …”

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. …”

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).…”

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. …”

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. …”

Donepezil enhances frontal functional connectivity in Alzheimer's Disease: a pilot study by Griffanti, L, Wilcock, G, Voets, N, Bonifacio, G, Mackay, C, Jenkinson, M, Zamboni, G

“…<p>Background: We have previously shown that increased resting-state functional magnetic resonance imaging (fMRI)-based functional connectivity (FC) within the frontal resting-state networks in Alzheimer's disease (AD) patients reflects residual, possibly compensatory, function. …”

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. …”

Fully Bayesian spatio-temporal modeling of FMRI data. by Woolrich, M, Jenkinson, M, Brady, J, Smith, S

“…We present a fully Bayesian approach to modeling in functional magnetic resonance imaging (FMRI), incorporating spatio-temporal noise modeling and haemodynamic response function (HRF) modeling. …”

Physiological noise in brainstem FMRI. by Brooks, J, Faull, O, Pattinson, K, Jenkinson, M

“…However, the brainstem's location close to major arteries and adjacent pulsatile cerebrospinal fluid filled spaces, means that it is difficult to reliably record functional magnetic resonance imaging (fMRI) data from. These physiological sources of noise generate time varying signals in fMRI data, which if left uncorrected can obscure signals of interest. …”

Independent anatomical and functional measures of the V1/V2 boundary in human visual cortex. by Bridge, H, Clare, S, Jenkinson, M, Jezzard, P, Parker, A, Matthews, P

“…Functional borders were mapped with functional magnetic resonance imaging (fMRI) using a narrow, vertical black and white contrast-reversing wedge. …”

Resting functional connectivity reveals residual functional activity in Alzheimer's disease. by Zamboni, G, Wilcock, G, Douaud, G, Drazich, E, McCulloch, E, Filippini, N, Tracey, I, Brooks, J, Smith, S, Jenkinson, M, Mackay, C

“…BACKGROUND: Functional magnetic resonance imaging (fMRI) has great potential for measuring mechanisms of functional changes in Alzheimer's disease (AD) and mild cognitive impairment, but task fMRI studies have produced conflicting results, partly due to failure to account for underlying morphological changes and to variations in patients' ability to perform the tasks. …”

The motor cortex shows adaptive functional changes to brain injury from multiple sclerosis. by Lee, M, Reddy, H, Johansen-Berg, H, Pendlebury, S, Jenkinson, M, Smith, S, Palace, J, Matthews, P

“…To test our hypothesis, we used functional magnetic resonance imaging (MRI) to characterize the localization and volumes of activation in the motor cortex during simple flexion-extension finger movements. …”

Resting functional connectivity reveals residual functional activity in Alzheimer's disease by Zamboni, G, Wilcock, G, Douaud, G, Drazich, E, McCulloch, E, Filippini, N, Tracey, I, Brooks, J, Smith, S, Jenkinson, M, Mackay, C

“…Background Functional magnetic resonance imaging (fMRI) has great potential for measuring mechanisms of functional changes in Alzheimer's disease (AD) and mild cognitive impairment, but task fMRI studies have produced conflicting results, partly due to failure to account for underlying morphological changes and to variations in patients' ability to perform the tasks. …”

Neuroanatomy of impaired self-awareness in Alzheimer's disease and mild cognitive impairment. by Zamboni, G, Drazich, E, McCulloch, E, Filippini, N, Mackay, C, Jenkinson, M, Tracey, I, Wilcock, G

“…METHODS: Fifty-one participants (17 healthy elderly, 17 patients with MCI, and 17 patients with AD), each accompanied by a study partner, took part in a functional magnetic resonance imaging (fMRI) study, in which they were presented with questions regarding themselves (Self condition) or their study partner (Other condition). …”

Neuroanatomy of impaired self-awareness in Alzheimer's disease and mild cognitive impairment by Zamboni, G, Drazich, E, McCulloch, E, Filippini, N, Mackay, C, Jenkinson, M, Tracey, I, Wilcock, G

“…Methods: Fifty-one participants (17 healthy elderly, 17 patients with MCI, and 17 patients with AD), each accompanied by a study partner, took part in a functional magnetic resonance imaging (fMRI) study, in which they were presented with questions regarding themselves (Self condition) or their study partner (Other condition). …”