- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Advanced Software Engineering Methodologies
- Functional Brain Connectivity Studies
- Software System Performance and Reliability
- Service-Oriented Architecture and Web Services
- MRI in cancer diagnosis
- Medical Image Segmentation Techniques
- Software Engineering Research
- Fetal and Pediatric Neurological Disorders
- Medical Imaging Techniques and Applications
- Social and Educational Sciences
- Neural dynamics and brain function
- Neonatal and fetal brain pathology
- Pain Mechanisms and Treatments
- Pain Management and Placebo Effect
- Neuroscience and Neuropharmacology Research
- Long-Term Effects of COVID-19
- Software Engineering Techniques and Practices
- Software Reliability and Analysis Research
- Neural and Behavioral Psychology Studies
- Safety Systems Engineering in Autonomy
- Infant Development and Preterm Care
- Distributed systems and fault tolerance
- Open Source Software Innovations
Wellcome Centre for Integrative Neuroimaging
2015-2024
University of Oxford
2015-2024
John Radcliffe Hospital
2012-2024
Linnaeus University
2013-2023
University of Zurich
2020
Novem (Netherlands)
2015
Lund University
2015
Uppsala University
1993-2009
Karolinska Institutet
1997-2009
Växjö Kommun
2004-2009
In this paper we describe a method for retrospective estimation and correction of eddy current (EC)-induced distortions subject movement in diffusion imaging. addition susceptibility-induced field can be supplied will incorporated into the calculations way that accurately reflects two fields (susceptibility- EC-induced) behave differently presence movement. The is based on registering individual volumes to model free prediction what each volume should look like, thereby enabling its use high...
UK Biobank is a large-scale prospective epidemiological study with all data accessible to researchers worldwide. It currently in the process of bringing back 100,000 original participants for brain, heart and body MRI, carotid ultrasound low-dose bone/fat x-ray. The brain imaging component covers 6 modalities (T1, T2 FLAIR, susceptibility weighted Resting fMRI, Task fMRI Diffusion MRI). Raw processed from first 10,000 imaged subjects has recently been released general research access. To...
There is strong evidence of brain-related abnormalities in COVID-19
Resting-state functional magnetic resonance imaging has become a powerful tool for the study of networks in brain. Even “at rest,” brain's different spontaneously fluctuate their activity level; each network's spatial extent can therefore be mapped by finding temporal correlations between its subregions. Current correlation-based approaches measure average connectivity regions, but this is less meaningful regions that are part multiple networks; one ideally wants network model explicitly...
BackgroundThe medium-term effects of Coronavirus disease (COVID-19) on organ health, exercise capacity, cognition, quality life and mental health are poorly understood.MethodsFifty-eight COVID-19 patients post-hospital discharge 30 age, sex, body mass index comorbidity-matched controls were enrolled for multiorgan (brain, lungs, heart, liver kidneys) magnetic resonance imaging (MRI), spirometry, six-minute walk test, cardiopulmonary test (CPET), life, cognitive assessments.FindingsAt 2–3...
It has been suggested that variation in brain structure correlates with the sizes of individuals' social networks. Whether network size causes structure, however, is unknown. To address this question, we neuroimaged 23 monkeys had living groups set to different sizes. Subject comparison revealed larger caused increases gray matter mid-superior temporal sulcus and rostral prefrontal cortex increased coupling activity frontal cortex. Social size, therefore, contributes changes both function....
Most motion correction methods work by aligning a set of volumes together, or to volume that represents reference location. These are based on an implicit assumption the subject remains motionless during several seconds it takes acquire all slices in volume, and any movement occurs brief moment between acquiring last slice one first next. This is clearly approximation can be more less good depending how long rapidly moves. In this paper we present method increases temporal resolution...