All Outputs (35)

Medio-dorsal thalamic dysconnectivity in chronic knee pain: A possible mechanism for negative affect and pain comorbidity (2022)
Journal Article

The reciprocal interaction between pain and negative affect is acknowledged but pain-related alterations in brain circuits involved in this interaction, such as the mediodorsal thalamus (MDThal), still require a better understanding. We sought to inv... Read More about Medio-dorsal thalamic dysconnectivity in chronic knee pain: A possible mechanism for negative affect and pain comorbidity.

Mapping brain endophenotypes associated with idiopathic pulmonary fibrosis genetic risk (2022)
Journal Article

Background: Idiopathic pulmonary fibrosis (IPF) is a serious disease of the lung parenchyma. It has a known polygenetic risk, with at least seventeen regions of the genome implicated to date. Growing evidence suggests linked multimorbidity of IPF wit... Read More about Mapping brain endophenotypes associated with idiopathic pulmonary fibrosis genetic risk.

Concurrent mapping of brain ontogeny and phylogeny within a common space: standardised tractography and applications (2022)
Journal Article

Developmental and evolutionary effects on brain organization are complex, yet linked, as evidenced by the correspondence in cortical area expansion across these vastly different time scales. However, it is still not possible to study concurrently the... Read More about Concurrent mapping of brain ontogeny and phylogeny within a common space: standardised tractography and applications.

Predicting time-resolved electrophysiological brain networks from structural eigenmodes (2022)
Journal Article

How temporal modulations in functional interactions are shaped by the underlying anatomical connections remains an open question. Here, we analyse the role of structural eigenmodes, in the formation and dissolution of temporally evolving functional b... Read More about Predicting time-resolved electrophysiological brain networks from structural eigenmodes.

The Developing Human Connectome Project Neonatal Data Release (2022)
Journal Article

The Developing Human Connectome Project has created a large open science resource which provides researchers with data for investigating typical and atypical brain development across the perinatal period. It has collected 1228 multimodal magnetic res... Read More about The Developing Human Connectome Project Neonatal Data Release.

Right fronto-parietal networks mediate the neurocognitive benefits of enriched environments (2022)
Journal Article

Exposure to enriched environments throughout a lifetime, providing so-called reserve, protects against cognitive decline in later years. It has been hypothesized that high levels of alertness necessitated by enriched environments might strengthen the... Read More about Right fronto-parietal networks mediate the neurocognitive benefits of enriched environments.

The association between inadequate sleep and accelerated brain ageing (2022)
Journal Article

Numerous studies indicate large heterogeneity in brain ageing, which can be attributed to modifiable lifestyle factors, including sleep. Inadequate sleep has been previously linked to gray (GM) and white (WM) matter changes. However, the reported fin... Read More about The association between inadequate sleep and accelerated brain ageing.

Concurrent mapping of brain ontogeny and phylogeny within a common connectivity space (2022)
Working Paper

Developmental and evolutionary effects on brain organisation are complex, yet linked, as evidenced by the striking correspondence in cortical expansion changes. However, it is still not possible to study concurrently the ontogeny and phylogeny of cor... Read More about Concurrent mapping of brain ontogeny and phylogeny within a common connectivity space.

Anticholinergic drugs and forebrain magnetic resonance imaging changes in cognitively normal people and those with mild cognitive impairment (2022)
Journal Article

Background Anticholinergic (AC) medication use is associated with cognitive decline and dementia, which may be related to an AC induced central hypocholinergic state, but the exact mechanisms remain to be understood. We aimed to further elucidate th... Read More about Anticholinergic drugs and forebrain magnetic resonance imaging changes in cognitively normal people and those with mild cognitive impairment.

Anticholinergic drugs and forebrain magnetic resonance imaging changes in cognitively normal people and those with mild cognitive impairment (2022)
Journal Article

Background and purpose: Anticholinergic (AC) medication use is associated with cognitive decline and dementia, which may be related to an AC-induced central hypocholinergic state, but the exact mechanisms remain to be understood. We aimed to further... Read More about Anticholinergic drugs and forebrain magnetic resonance imaging changes in cognitively normal people and those with mild cognitive impairment.

Long-Term Connectome Analysis Reveals Reshaping of Visual, Spatial Networks in a Model With Vascular Dementia Features (2022)
Journal Article

Background: Connectome analysis of neuroimaging data is a rapidly expanding field that offers the potential to diagnose, characterize, and predict neurological disease. Animal models provide insight into biological mechanisms that underpin disease, b... Read More about Long-Term Connectome Analysis Reveals Reshaping of Visual, Spatial Networks in a Model With Vascular Dementia Features.

Automated Detection of Candidate Subjects With Cerebral Microbleeds Using Machine Learning (2022)
Journal Article

Cerebral microbleeds (CMBs) appear as small, circular, well defined hypointense lesions of a few mm in size on T2*-weighted gradient recalled echo (T2*-GRE) images and appear enhanced on susceptibility weighted images (SWI). Due to their small size,... Read More about Automated Detection of Candidate Subjects With Cerebral Microbleeds Using Machine Learning.

The Human Connectome Project: A retrospective (2021)
Journal Article

The Human Connectome Project (HCP) was launched in 2010 as an ambitious effort to accelerate advances in human neuroimaging, particularly for measures of brain connectivity; apply these advances to study a large number of healthy young adults; and fr... Read More about The Human Connectome Project: A retrospective.

Quantum computing at the frontiers of biological sciences (2021)
Journal Article

The search for meaningful structure in biological data has relied on cutting-edge advances in computational technology and data science methods. However, challenges arise as we push the limits of scale and complexity in biological problems. Innovatio... Read More about Quantum computing at the frontiers of biological sciences.

Modelling white matter in gyral blades as a continuous vector field (2020)
Journal Article

© 2020 Many brain imaging studies aim to measure structural connectivity with diffusion tractography. However, biases in tractography data, particularly near the boundary between white matter and cortical grey matter can limit the accuracy of such st... Read More about Modelling white matter in gyral blades as a continuous vector field.

Uncertainty modelling in deep learning for safer neuroimage enhancement: Demonstration in diffusion MRI (2020)
Journal Article

Deep learning (DL) has shown great potential in medical image enhancement problems, such as super-resolution or image synthesis. However, to date, most existing approaches are based on deterministic models, neglecting the presence of different source... Read More about Uncertainty modelling in deep learning for safer neuroimage enhancement: Demonstration in diffusion MRI.

Non-negative data-driven mapping of structural connections with application to the neonatal brain (2020)
Journal Article

© 2020 Mapping connections in the neonatal brain can provide insight into the crucial early stages of neurodevelopment that shape brain organisation and lay the foundations for cognition and behaviour. Diffusion MRI and tractography provide unique op... Read More about Non-negative data-driven mapping of structural connections with application to the neonatal brain.

A data-driven approach to optimising the encoding for multi-shell diffusion MRI with application to neonatal imaging (2020)
Journal Article

Diffusion MRI has the potential to provide important information about the connectivity and microstructure of the human brain during normal and abnormal development, non-invasively and in vivo. Recent developments in MRI hardware and reconstruction m... Read More about A data-driven approach to optimising the encoding for multi-shell diffusion MRI with application to neonatal imaging.

Towards HCP-Style macaque connectomes: 24-Channel 3T multi-array coil, MRI sequences and preprocessing (2020)
Journal Article

© 2020 The Author(s) Macaque monkeys are an important animal model where invasive investigations can lead to a better understanding of the cortical organization of primates including humans. However, the tools and methods for noninvasive image acquis... Read More about Towards HCP-Style macaque connectomes: 24-Channel 3T multi-array coil, MRI sequences and preprocessing.

Mechanisms and Risk Factors Contributing to Visual Field Deficits following Stereotactic Laser Amygdalohippocampotomy (2019)
Journal Article

Selective laser amygdalohippocampotomy (SLAH) is a minimally invasive surgical treatment for medial temporal lobe epilepsy. Visual field deficits (VFDs) are a significant potential complication. The objective of this study was to determine the relati... Read More about Mechanisms and Risk Factors Contributing to Visual Field Deficits following Stereotactic Laser Amygdalohippocampotomy.