525 results found
BRAINS Brain Imaging in Normal Subjects Expert Working Group, Shenkin SD, Pernet C, et al., 2017, Improving data availability for brain image biobanking in healthy subjects: Practice-based suggestions from an international multidisciplinary working group., Neuroimage
Brain imaging is now ubiquitous in clinical practice and research. The case for bringing together large amounts of image data from well-characterised healthy subjects and those with a range of common brain diseases across the life course is now compelling. This report follows a meeting of international experts from multiple disciplines, all interested in brain image biobanking. The meeting included neuroimaging experts (clinical and non-clinical), computer scientists, epidemiologists, clinicians, ethicists, and lawyers involved in creating brain image banks. The meeting followed a structured format to discuss current and emerging brain image banks; applications such as atlases; conceptual and statistical problems (e.g. defining 'normality'); legal, ethical and technological issues (e.g. consents, potential for data linkage, data security, harmonisation, data storage and enabling of research data sharing). We summarise the lessons learned from the experiences of a wide range of individual image banks, and provide practical recommendations to enhance creation, use and reuse of neuroimaging data. Our aim is to maximise the benefit of the image data, provided voluntarily by research participants and funded by many organisations, for human health. Our ultimate vision is of a federated network of brain image biobanks accessible for large studies of brain structure and function.
Bishop CA, Newbould RD, Lee JS, et al., 2017, Analysis of ageing-associated grey matter volume in patients with multiple sclerosis shows excess atrophy in subcortical regions., Neuroimage Clin, Vol: 13, Pages: 9-15
Age of onset in multiple sclerosis (MS) exerts an influence on the course of disease. This study examined whether global and regional brain volumes differed between "younger" and "older" onset MS subjects who were matched for short disease duration, mean 1.9 years and burden as measured by the MS Severity Score and relapses. 21 younger-onset MS subjects (age 30.4 ± 3.2 years) were compared with 17 older-onset (age 48.7 ± 3.3 years) as well as age-matched controls (n = 31, 31.9 ± 3.5 years and n = 21, 47.3 ± 4.0 years). All subjects underwent 3D volumetric T1 and T2-FLAIR imaging. White matter (WM) and grey matter (GM) lesions were outlined manually. Lesions were filled prior to tissue and structural segmentation to reduce classification errors. Volume loss versus control was predominantly in the subcortical GM, at > 13% loss. Younger and older-onset MS subjects had similar, strong excess loss in the putamen, thalamus, and nucleus accumbens. No excess loss was detected in the amygdala or pallidum. The hippocampus and caudate showed significant excess loss in the younger group (p < 0.001) and a strong trend in the older-onset group. These results provide a potential imaging correlate of published neuropsychological studies that reported the association of younger age at disease onset with impaired cognitive performance, including decreased working memory.
Gafson A, Craner MJ, Matthews PM, 2017, Personalised medicine for multiple sclerosis care., Mult Scler, Vol: 23, Pages: 362-369
Treatments with a range of efficacy and risk of adverse events have become available for the management of multiple sclerosis (MS). However, now the heterogeneity of clinical expression and responses to treatment pose major challenges to improving patient care. Selecting and managing the drug best balancing benefit and risk demands a new focus on the individual patient. Personalised medicine for MS is based on improving the precision of diagnosis for each patient in order to capture prognosis and provide an evidence-based framework for predicting treatment response and personalising patient monitoring. It involves development of predictive models involving the integration of clinical and biological data with an understanding of the impact of disease on the lives of individual patients. Here, we provide a brief, selective review of challenges to personalisation of the management of MS and suggest an agenda for stakeholder engagement and research to address them.
He S, Yong M, Matthews PM, et al., 2017, tranSMART-XNAT Connector tranSMART-XNAT connector-image selection based on clinical phenotypes and genetic profiles, BIOINFORMATICS, Vol: 33, Pages: 787-788, ISSN: 1367-4803
Lema A, Bishop C, Malik O, et al., 2017, A Comparison of Magnetization Transfer Methods to Assess Brain and Cervical Cord Microstructure in Multiple Sclerosis, JOURNAL OF NEUROIMAGING, Vol: 27, Pages: 221-226, ISSN: 1051-2284
Poldrack RA, Baker CI, Durnez J, et al., 2017, Scanning the horizon: towards transparent and reproducible neuroimaging research, NATURE REVIEWS NEUROSCIENCE, Vol: 18, Pages: 115-126, ISSN: 1471-003X
Wilman HR, Kelly M, Garratt S, et al., 2017, Characterisation of liver fat in the UK Biobank cohort, PLOS ONE, Vol: 12, ISSN: 1932-6203
Colasanti A, Guo Q, Giannetti P, et al., 2016, Hippocampal Neuroinflammation, Functional Connectivity, and Depressive Symptoms in Multiple Sclerosis, BIOLOGICAL PSYCHIATRY, Vol: 80, Pages: 62-72, ISSN: 0006-3223
Comninos AN, Anastasovska J, Sahuri-Arisoylu M, et al., 2016, Kisspeptin signaling in the amygdala modulates reproductive hormone secretion, BRAIN STRUCTURE & FUNCTION, Vol: 221, Pages: 2035-2047, ISSN: 1863-2653
Datta G, Colasanti A, Kalk NJ, et al., 2016, In vivo translocator protein positron emission tomography imaging detects a heterogeneity of lesion inflammatory activity in multiple sclerosis not evident by MRI., 32nd Congress of the European-Committee-for-Treatment-and-Research-in-Multiple-Sclerosis (ECTRIMS), Publisher: SAGE PUBLICATIONS LTD, Pages: 36-37, ISSN: 1352-4585
Datta G, Violante IR, Scott G, et al., 2016, Translocator positron-emission tomography and magnetic resonance spectroscopic imaging of brain glial cell activation in multiple sclerosis., Mult Scler
BACKGROUND: Multiple sclerosis (MS) is characterised by a diffuse inflammatory response mediated by microglia and astrocytes. Brain translocator protein (TSPO) positron-emission tomography (PET) and [myo-inositol] magnetic resonance spectroscopy (MRS) were used together to assess this. OBJECTIVE: To explore the in vivo relationships between MRS and PET [(11)C]PBR28 in MS over a range of brain inflammatory burden. METHODS: A total of 23 patients were studied. TSPO PET imaging with [(11)C]PBR28, single voxel MRS and conventional magnetic resonance imaging (MRI) sequences were undertaken. Disability was assessed by Expanded Disability Status Scale (EDSS) and Multiple Sclerosis Functional Composite (MSFC). RESULTS: [(11)C]PBR28 uptake and [ myo-inositol] were not associated. When the whole cohort was stratified by higher [(11)C]PBR28 inflammatory burden, [ myo-inositol] was positively correlated to [(11)C]PBR28 uptake (Spearman's ρ = 0.685, p = 0.014). Moderate correlations were found between [(11)C]PBR28 uptake and both MRS creatine normalised N-acetyl aspartate (NAA) concentration and grey matter volume. MSFC was correlated with grey matter volume (ρ = 0.535, p = 0.009). There were no associations between other imaging or clinical measures. CONCLUSION: MRS [ myo-inositol] and PET [(11)C]PBR28 measure independent inflammatory processes which may be more commonly found together with more severe inflammatory disease. Microglial activation measured by [(11)C]PBR28 uptake was associated with loss of neuronal integrity and grey matter atrophy.
De Guio F, Jouvent E, Biessels GJ, et al., 2016, Reproducibility and variability of quantitative magnetic resonance imaging markers in cerebral small vessel disease, JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM, Vol: 36, Pages: 1319-1337, ISSN: 0271-678X
Dong H, Matthews PM, Guo Y, 2016, A new soft material based in-the-ear EEG recording technique, Pages: 5709-5712, ISSN: 1557-170X
© 2016 IEEE.Long-term electroencephalogram (EEG) is important for seizure detection, sleep monitoring and etc. In-the- ear EEG device makes such recording robust to noise and privacy protected (invisible to other people). However, the state-of-art techniques suffer from various drawbacks such as customization for specific users, manufacturing difficulties and short life cycle. To address these issues, we proposed silvered glass silicone based in-the-ear electrode which can be manufactured using conventional compression moulding. The material and in-the-ear EEG are evaluated separately, showing that the proposed method is durable, low-cost and easy-to-make.
Gafson AR, Nicholas R, Giovannoni G, et al., 2016, Plasma cytokine concentration changes in multiple sclerosis patients after treatment with dimethyl fumarate, 32nd Congress of the European-Committee-for-Treatment-and-Research-in-Multiple-Sclerosis (ECTRIMS), Publisher: SAGE PUBLICATIONS LTD, Pages: 670-671, ISSN: 1352-4585
James A, Joyce E, Lunn D, et al., 2016, Abnormal frontostriatal connectivity in adolescent-onset schizophrenia and its relationship to cognitive functioning (vol 35C, pg 32, 2016), EUROPEAN PSYCHIATRY, Vol: 38, Pages: 22-22, ISSN: 0924-9338
James A, Joyce E, Lunn D, et al., 2016, Abnormal frontostriatal connectivity in adolescent-onset schizophrenia and its relationship to cognitive functioning, EUROPEAN PSYCHIATRY, Vol: 35, Pages: 32-38, ISSN: 0924-9338
Khamis RY, Woollard KJ, Hyde GD, et al., 2016, Near Infrared Fluorescence (NIRF) Molecular Imaging of Oxidized LDL with an Autoantibody in Experimental Atherosclerosis, SCIENTIFIC REPORTS, Vol: 6, ISSN: 2045-2322
Lovestone S, Rossor M, Gallacher J, et al., 2016, Better together for better dementia research and care, LANCET PSYCHIATRY, Vol: 3, Pages: 503-504, ISSN: 2215-0374
Maron E, Near J, Wallis G, et al., 2016, A pilot study of the effect of short-term escitalopram treatment on brain metabolites and gamma-oscillations in healthy subjects, JOURNAL OF PSYCHOPHARMACOLOGY, Vol: 30, Pages: 579-580, ISSN: 0269-8811
Matthews PM, Hampshire A, 2016, Clinical Concepts Emerging from fMRI Functional Connectomics, NEURON, Vol: 91, Pages: 511-528, ISSN: 0896-6273
Matthews PM, Roncaroli F, Waldman A, et al., 2016, A practical review of the neuropathology and neuroimaging of multiple sclerosis., Pract Neurol, Vol: 16, Pages: 279-287
The variability in the severity and clinical course of multiple sclerosis (MS) has as its basis an extreme heterogeneity in the location, nature and extent of pathology in the brain and spinal cord. Understanding the underlying neuropathology and associated pathogenetic mechanisms of the disease helps to communicate the rationale for treatment and disease monitoring to patients. Neuroimaging is an important tool for this: it allows clinicians to relate neuropathological changes to clinical presentations and to monitor the course of their disease. Here, we review MS neuropathology and its imaging correlates to provide a practical guide for using MRI to assess disease severity and treatment responses. This provides a foundation for optimal management of patients based on the principle that they show 'no evidence of disease activity'.
Miller KL, Alfaro-Almagro F, Bangerter NK, et al., 2016, Multimodal population brain imaging in the UK Biobank prospective epidemiological study, NATURE NEUROSCIENCE, Vol: 19, Pages: 1523-1536, ISSN: 1097-6256
Nie L, Matthews PM, Guo Y, 2016, Inferring Individual-Level Variations in the Functional Parcellation of the Cerebral Cortex, IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, Vol: 63, Pages: 2505-2517, ISSN: 0018-9294
Petersen SE, Matthews PM, Francis JM, et al., 2016, UK Biobank's cardiovascular magnetic resonance protocol., Journal of Cardiovascular Magnetic Resonance, Vol: 18, ISSN: 1532-429X
BACKGROUND: UK Biobank's ambitious aim is to perform cardiovascular magnetic resonance (CMR) in 100,000 people previously recruited into this prospective cohort study of half a million 40-69 year-olds. METHODS/DESIGN: We describe the CMR protocol applied in UK Biobank's pilot phase, which will be extended into the main phase with three centres using the same equipment and protocols. The CMR protocol includes white blood CMR (sagittal anatomy, coronary and transverse anatomy), cine CMR (long axis cines, short axis cines of the ventricles, coronal LVOT cine), strain CMR (tagging), flow CMR (aortic valve flow) and parametric CMR (native T1 map). DISCUSSION: This report will serve as a reference to researchers intending to use the UK Biobank resource or to replicate the UK Biobank cardiovascular magnetic resonance protocol in different settings.
Ricotti V, Evans MRB, Sinclair CDJ, et al., 2016, Upper Limb Evaluation in Duchenne Muscular Dystrophy: Fat-Water Quantification by MRI, Muscle Force and Function Define Endpoints for Clinical Trials, PLOS ONE, Vol: 11, ISSN: 1932-6203
Russo EA, Khan S, Janisch R, et al., 2016, Role of F-18-fluorodeoxyglucose Positron Emission Tomography in the Monitoring of Inflammatory Activity in Crohn's Disease, INFLAMMATORY BOWEL DISEASES, Vol: 22, Pages: 2619-2629, ISSN: 1078-0998
Scott G, Gunn RN, Matthews PM, et al., 2016, Minocycline reduces microglial activation after traumatic brain injury measured using [11C]-PBR28 positron emission tomography, Publisher: TAYLOR & FRANCIS INC, Pages: 686-687, ISSN: 0269-9052
Scott G, Ramlackhansingh AF, Edison P, et al., 2016, Amyloid pathology and axonal injury after brain trauma, NEUROLOGY, Vol: 86, Pages: 821-828, ISSN: 0028-3878
Tiwari AD, Wu C, Zhu J, et al., 2016, Design, Synthesis, and Evaluation of Fluorinated Radioligands for Myelin Imaging, JOURNAL OF MEDICINAL CHEMISTRY, Vol: 59, Pages: 3705-3718, ISSN: 0022-2623
Tsinalis O, Matthews PM, Guo Y, 2016, Automatic Sleep Stage Scoring Using Time-Frequency Analysis and Stacked Sparse Autoencoders, ANNALS OF BIOMEDICAL ENGINEERING, Vol: 44, Pages: 1587-1597, ISSN: 0090-6964
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