Neural mechanisms underlying advanced cognition in humans by Constantinescu, A

“…</p> <p>Together, these studies illustrate the potential power of functional magnetic resonance imaging techniques to investigate precise computations in humans.…”

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. …”

Organizing conceptual knowledge in humans with a gridlike code by Constantinescu, A, O'Reilly, J, Behrens, T

“…Grid cells use a hexagonally symmetric code to organize spatial representations and are the likely source of a precise hexagonal symmetry in the functional magnetic resonance imaging signal. Humans navigating conceptual two-dimensional knowledge showed the same hexagonal signal in a set of brain regions markedly similar to those activated during spatial navigation. …”

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).…”

Functional asymmetry for auditory processing in human primary auditory cortex. by Devlin, J, Raley, J, Tunbridge, E, Lanary, K, Floyer-Lea, A, Narain, C, Cohen, I, Behrens, T, Jezzard, P, Matthews, P, Moore, DR

“…We tested this hypothesis using functional magnetic resonance imaging to evaluate human auditory cortex responses to monaurally presented tones. …”

Variational Bayes inference of spatial mixture models for segmentation. by Woolrich, M, Behrens, T

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

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.…”

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. …”

Evidence for a vascular contribution to diffusion FMRI at high b value. by Miller, K, Bulte, D, Devlin, H, Robson, M, Wise, R, Woolrich, M, Jezzard, P, Behrens, T

“…Recent work has suggested that diffusion-weighted functional magnetic resonance imaging (FMRI) with strong diffusion weighting (high b value) detects neuronal swelling that is directly related to neuronal firing. …”

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. …”

A map of abstract relational knowledge in the human hippocampal–entorhinal cortex by Garvert, M, Dolan, R, Behrens, T

“…We reconstruct a map-like knowledge structure directly from a hippocampal–entorhinal functional magnetic resonance imaging adaptation signal in a situation where relationships are non-spatial rather than spatial, discrete rather than continuous, and unavailable to conscious awareness. …”

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. …”

Repetition suppression: a means to index neural representations using BOLD? by Barron, H, Garvert, M, Behrens, T

“…In recent years, various attempts have been made to refine the coarse signal available in functional magnetic resonance imaging (fMRI), providing a means to investigate neural activity at the meso-scale, i.e. at the level of neural populations. …”

Diffusion-weighted imaging tractography-based parcellation of the human lateral premotor cortex identifies dorsal and ventral subregions with anatomical and functional specializati... by Tomassini, V, Jbabdi, S, Klein, J, Behrens, T, Pozzilli, C, Matthews, P, Rushworth, M, Johansen-Berg, H

“…The location of the border falls at the level of the gyral branch that divides the inferior precentral sulcus from the superior precentral sulcus and corresponded closely to the location of a functional border defined using previous functional magnetic resonance imaging studies.…”

Triangulating a cognitive control network using diffusion-weighted magnetic resonance imaging (MRI) and functional MRI. by Aron, A, Behrens, T, Smith, S, Frank, M, Poldrack, R

“…A second experiment tested this idea with functional magnetic resonance imaging (fMRI) using a conditional stop-signal paradigm, enabling examination of behavioral and neural signatures of conflict-induced slowing. …”

Effort-based cost-benefit valuation and the human brain. by Croxson, P, Walton, M, O'Reilly, J, Behrens, T, Rushworth, M

“…We performed a functional magnetic resonance imaging study to determine whether and where activity in the human brain was available to guide effort-based cost-benefit valuation. …”

Shifts in reinforcement signalling while playing slot-machines as a function of prior experience and impulsivity. by Shao, R, Read, J, Behrens, T, Rogers, R

“…Using functional magnetic resonance imaging in healthy participants, we show that a single episode of slot-machine play is subsequently associated with reduced amplitudes of blood-oxygenation-level-dependent signals within reinforcement-related structures, such as the ventral striatum and caudate nucleus, following winning game outcomes; but increased amplitudes of anticipatory signals within the ventral striatum and amygdala while watching the game reels spin. …”

Shifts in reinforcement signalling while playing slot-machines as a function of prior experience and impulsivity. by Shao, R, Read, J, Behrens, T, Rogers, R

“…Using functional magnetic resonance imaging in healthy participants, we show that a single episode of slot-machine play is subsequently associated with reduced amplitudes of blood-oxygenation level-dependent signals within reinforcement-related structures, such as the ventral striatum and caudate nucleus, following winning game outcomes; but increased amplitudes of anticipatory signals within the ventral striatum and amygdala while watching the game reels spin. …”

Modelling human decision under risk and uncertainty by Hunt, L

“…This thesis examines two such components; (i) the neural substrates supporting action selection during value- guided choice using magnetoencephalography (MEG), and (ii) learning the value of environmental stimuli and other people’s actions using functional magnetic resonance imaging (fMRI). In both situations, it is helpful to formally model the underlying component process, as this generates predictions of trial-to-trial variability in the signal from a brain region involved in its implementation.…”