Skip to main content

Research Repository

Advanced Search

Outputs (215)

Theoretical advantages of a triaxial optically pumped magnetometer magnetoencephalography system (2021)
Journal Article
Brookes, M. J., Boto, E., Rea, M., Shah, V., Osborne, J., Holmes, N., …Bowtell, R. (2021). Theoretical advantages of a triaxial optically pumped magnetometer magnetoencephalography system. NeuroImage, 236, Article 118025. https://doi.org/10.1016/j.neuroimage.2021.118025

The optically pumped magnetometer (OPM) is a viable means to detect magnetic fields generated by human brain activity. Compared to conventional detectors (superconducting quantum interference devices) OPMs are small, lightweight, flexible, and operat... Read More about Theoretical advantages of a triaxial optically pumped magnetometer magnetoencephalography system.

Theoretical uncertainties for cosmological first-order phase transitions (2021)
Journal Article
Croon, D., Gould, O., Schicho, P., Tenkanen, T. V., & White, G. (2021). Theoretical uncertainties for cosmological first-order phase transitions. Journal of High Energy Physics, 2021(4), Article 55. https://doi.org/10.1007/JHEP04%282021%29055

We critically examine the magnitude of theoretical uncertainties in perturbative calculations of fist-order phase transitions, using the Standard Model effective field theory as our guide. In the usual daisy-resummed approach, we find large uncertain... Read More about Theoretical uncertainties for cosmological first-order phase transitions.

Quantum jump Monte Carlo approach simplified: Abelian symmetries (2021)
Journal Article
Macieszczak, K., & Rose, D. C. (2021). Quantum jump Monte Carlo approach simplified: Abelian symmetries. Physical Review A, 103(4), Article 042204. https://doi.org/10.1103/physreva.103.042204

We consider Markovian dynamics of a finitely dimensional open quantum system featuring a weak unitary symmetry, i.e., when the action of a unitary symmetry on the space of density matrices commutes with the master operator governing the dynamics. We... Read More about Quantum jump Monte Carlo approach simplified: Abelian symmetries.

Theoretical uncertainties for cosmological first-order phase transitions (2021)
Journal Article
Croon, D., Gould, O., Schicho, P., Tenkanen, T. V. I., & White, G. (2021). Theoretical uncertainties for cosmological first-order phase transitions. Journal of High Energy Physics, 2021(4), Article 55. https://doi.org/10.1007/JHEP04%282021%29055

We critically examine the magnitude of theoretical uncertainties in perturbative calculations of fist-order phase transitions, using the Standard Model effective field theory as our guide. In the usual daisy-resummed approach, we find large uncertain... Read More about Theoretical uncertainties for cosmological first-order phase transitions.

Real scalar phase transitions: a nonperturbative analysis (2021)
Journal Article
Gould, O. (2021). Real scalar phase transitions: a nonperturbative analysis. Journal of High Energy Physics, 2021(04), Article 57. https://doi.org/10.1007/JHEP04%282021%29057

We study the thermal phase transitions of a generic real scalar field, without a Z2-symmetry, referred to variously as an inert, sterile or singlet scalar, or ϕ3 + ϕ4 theory. Such a scalar field arises in a wide range of models, including as the infl... Read More about Real scalar phase transitions: a nonperturbative analysis.

Quantitative T1 mapping using multi-slice multi-shot inversion recovery EPI (2021)
Journal Article
Sanchez Panchuelo, R. M., Mougin, O., Turner, R., & Francis, S. T. (2021). Quantitative T1 mapping using multi-slice multi-shot inversion recovery EPI. NeuroImage, 234, Article 117976. https://doi.org/10.1016/j.neuroimage.2021.117976

An efficient multi-slice inversion–recovery EPI (MS-IR-EPI) sequence for fast, high spatial resolution, quantitative T1 mapping is presented, using a segmented simultaneous multi-slice acquisition, combined with slice order shifting across multiple a... Read More about Quantitative T1 mapping using multi-slice multi-shot inversion recovery EPI.

Determining the effects of transcranial direct current stimulation on tinnitus and tinnitus-related outcomes: protocol for a systematic review (2021)
Journal Article
Labree, B., Hoare, D. J., Gascoyne, L. E., & Sereda, M. (2021). Determining the effects of transcranial direct current stimulation on tinnitus and tinnitus-related outcomes: protocol for a systematic review. BMJ Open, 11(3), 1-6. https://doi.org/10.1136/bmjopen-2020-047191

Introduction: Tinnitus is the awareness of a sound in the ear or head in the absence of an external source. It affects around 10%–15% of people. About 20% of people with tinnitus also experience symptoms such as depression or anxiety that negatively... Read More about Determining the effects of transcranial direct current stimulation on tinnitus and tinnitus-related outcomes: protocol for a systematic review.

Sex differences in neural correlates of common psychopathological symptoms in early adolescence (2021)
Journal Article
Biondo, F., Thunell, C. N., Xu, B., Chu, C., Jia, T., Ing, A., …IMAGEN Consortium. (2022). Sex differences in neural correlates of common psychopathological symptoms in early adolescence. Psychological Medicine, 52(14), 3086-3096. https://doi.org/10.1017/S0033291720005140

Background Sex-related differences in psychopathology are known phenomena, with externalizing and internalizing symptoms typically more common in boys and girls, respectively. However, the neural correlates of these sex-by-psychopathology interaction... Read More about Sex differences in neural correlates of common psychopathological symptoms in early adolescence.

Automated renal segmentation in healthy and chronic kidney disease subjects using a convolutional neural network (2021)
Journal Article
Daniel, A., Buchanan, C., Allcock, T., Scerri, D., Cox, E., Prestwich, B., & Francis, S. (2021). Automated renal segmentation in healthy and chronic kidney disease subjects using a convolutional neural network. Magnetic Resonance in Medicine, 86(2), 1125-1136. https://doi.org/10.1002/mrm.28768

Purpose: Total Kidney Volume (TKV) is an important measure in renal disease detection and monitoring. We developed a fully automated method to segment the kidneys from T2-weighted magnetic resonance images (MRI) to calculate TKV of healthy control (H... Read More about Automated renal segmentation in healthy and chronic kidney disease subjects using a convolutional neural network.