599 results found
Colasanti A, Guo, Giannetti P, et al., 2015, Hippocampal neuroinflammation, functional connectivity and depressive symptoms in multiple sclerosis, Biological Psychiatry, Vol: 80, Pages: 62-72, ISSN: 1873-2402
BackgroundDepression, a condition commonly comorbid with multiple sclerosis (MS), is associated more generally with elevated inflammatory markers and hippocampal pathology. We hypothesized that neuroinflammation in the hippocampus is responsible for depression associated with MS. We characterized the relationship between depressive symptoms and hippocampal microglial activation in patients with MS using the 18-kDa translocator protein radioligand [18F]PBR111. To evaluate pathophysiologic mechanisms, we explored the relationships between hippocampal neuroinflammation, depressive symptoms, and hippocampal functional connectivities defined by resting-state functional magnetic resonance imaging.MethodsThe Beck Depression Inventory (BDI) was administered to 11 patients with MS and 22 healthy control subjects before scanning with positron emission tomography and functional magnetic resonance imaging. We tested for higher [18F]PBR111 uptake in the hippocampus of patients with MS relative to healthy control subjects and examined the correlations between [18F]PBR111 uptake, BDI scores, and hippocampal functional connectivities in the patients with MS.ResultsPatients with MS had an increased hippocampal [18F]PBR111 distribution volume ratio relative to healthy control subjects (p = .024), and the hippocampal distribution volume ratio was strongly correlated with the BDI score in patients with MS (r = .86, p = .006). Hippocampal functional connectivities to the subgenual cingulate and prefrontal and parietal regions correlated with BDI scores and [18F]PBR111 distribution volume ratio.ConclusionsOur results provide evidence that hippocampal microglial activation in MS impairs the brain functional connectivities in regions contributing to maintenance of a normal affective state. Our results suggest a rationale for the responsiveness of depression in some patients with MS to effective control of brain neuroinflammation. Our findings also lend support to further investigation of t
Matthews PM, Sudlow C, 2015, The UK Biobank, BRAIN, Vol: 138, Pages: 3463-3465, ISSN: 0006-8950
Scott G, Hellyer PJ, Ramlackhansingh AF, et al., 2015, Thalamic inflammation after brain trauma is associated with thalamo-cortical white matter damage, Journal of Neuroinflammation, Vol: 12, ISSN: 1742-2094
BackgroundTraumatic brain injury can trigger chronic neuroinflammation, which may predispose to neurodegeneration. Animal models and human pathological studies demonstrate persistent inflammation in the thalamus associated with axonal injury, but this relationship has never been shown in vivo.FindingsUsing [11C]-PK11195 positron emission tomography, a marker of microglial activation, we previously demonstrated thalamic inflammation up to 17 years after traumatic brain injury. Here, we use diffusion MRI to estimate axonal injury and show that thalamic inflammation is correlated with thalamo-cortical tract damage.ConclusionsThese findings support a link between axonal damage and persistent inflammation after brain injury.
Matthews PM, 2015, New drugs and personalized medicine for multiple sclerosis, NATURE REVIEWS NEUROLOGY, Vol: 11, Pages: 614-616, ISSN: 1759-4758
Tsinalis O, Matthews PM, Guo Y, 2015, Automatic sleep stage scoring using time-frequency analysis and stacked sparse autoencoders, Annals of Biomedical Engineering, Vol: 44, Pages: 1587-1597, ISSN: 1573-9686
We developed a machine learning methodology for automatic sleep stage scoring. Our time-frequency analysis-based feature extraction is fine-tuned to capture sleep stage-specific signal features as described in the American Academy of Sleep Medicine manual that the human experts follow. We used ensemble learning with an ensemble of stacked sparse autoencoders for classifying the sleep stages. We used class-balanced random sampling across sleep stages for each model in the ensemble to avoid skewed performance in favor of the most represented sleep stages, and addressed the problem of misclassification errors due to class imbalance while significantly improving worst-stage classification. We used an openly available dataset from 20 healthy young adults for evaluation. We used a single channel of EEG from this dataset, which makes our method a suitable candidate for longitudinal monitoring using wearable EEG in real-world settings. Our method has both high overall accuracy (78%, range 75–80%), and high mean \(F_1\)-score (84%, range 82–86%) and mean accuracy across individual sleep stages (86%, range 84–88%) over all subjects. The performance of our method appears to be uncorrelated with the sleep efficiency and percentage of transitional epochs in each recording.
Nie L, Yang X, Matthews P, et al., 2015, Minimum Partial Correlation: An Accurate and Parameter-Free Measure of Functional Connectivity in fMRI, International Conference on Brain Informatics & Health, BIH, Publisher: Springer International Publishing
Matthews PM, 2015, Clinical applications of fMRI, fMRI: From Nuclear Spins to Brain Functions, Pages: 611-632, ISBN: 9781489975904
Datta G, Battaglini M, Scott G, et al., 2015, Positron emission tomography imaging in multiple sclerosis highlights a diffuse inflammatory response in brain that appears normal on conventional magnetic resonance imaging, 31st Congress of the European-Committee-for-Treatment-and-Research-in-Multiple-Sclerosis (ECTRIMS), Publisher: SAGE Publications (UK and US), Pages: 477-478, ISSN: 1477-0970
Matthews PM, 2015, Measuring brain function in multiple sclerosis, 31st Congress of the European-Committee-for-Treatment-and-Research-in-Multiple-Sclerosis (ECTRIMS), Publisher: SAGE PUBLICATIONS LTD, Pages: 58-58, ISSN: 1352-4585
Colasanti A, Guo Q, Giannetti P, et al., 2015, Hippocampal inflammation and depression in multiple sclerosis: integrating evidence from TSPO PET and resting state fMRI, 31st Congress of the European-Committee-for-Treatment-and-Research-in-Multiple-Sclerosis (ECTRIMS), Publisher: SAGE Publications (UK and US), Pages: 492-493, ISSN: 1477-0970
Suri S, Mackay CE, Kelly ME, et al., 2015, Reduced cerebrovascular reactivity in young adults carrying the APOE epsilon 4 allele, ALZHEIMERS & DEMENTIA, Vol: 11, Pages: 648-657, ISSN: 1552-5260
Ntusi NAB, Piechnik SK, Francis JM, et al., 2015, Diffuse Myocardial Fibrosis and Inflammation in Rheumatoid Arthritis Insights From CMR T1 Mapping, JACC-CARDIOVASCULAR IMAGING, Vol: 8, Pages: 526-536, ISSN: 1936-878X
Colasanti A, Guo Q, Giannetti P, et al., 2015, Hippocampal Inflammation and Depressive Symptoms are Associated to the Strength of Hippocampal Functional Connectivity in Multiple Sclerosis: A Study with TSPO-PET and Resting-State fMRI, 70th Annual Scientific Meeting of the Society-of-Biological-Psychiatry on Stress, Emotion, Neurodevelopment and Psychopathology, Publisher: ELSEVIER SCIENCE INC, Pages: 115S-116S, ISSN: 0006-3223
Clarke E, Matthews PM, 2015, The OPTIMISE data project: toward improving multiple sclerosis treatment, FUTURE NEUROLOGY, Vol: 10, Pages: 187-190, ISSN: 1479-6708
Matthews PM, Datta G, 2015, Positron-emission tomography molecular imaging of glia and myelin in drug discovery for multiple sclerosis, EXPERT OPINION ON DRUG DISCOVERY, Vol: 10, Pages: 557-570, ISSN: 1746-0441
Sudlow C, Gallacher J, Allen N, et al., 2015, UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age, PLOS Medicine, Vol: 12, ISSN: 1549-1277
UK Biobank is a very large and detailed prospective study with over 500,000 participantsaged 40–69 years when recruited in 2006–2010.• The study has collected and continues to collect extensive phenotypic and genotypic detailabout its participants, including data from questionnaires, physical measures, sampleassays, accelerometry, multimodal imaging, genome-wide genotyping and longitudinalfollow-up for a wide range of health-related outcomes.• Wide consultation; input from scientific, management, legal, and ethical partners; andindustrial-scale, centralised processes have been essential to the development ofthis resource.• UK Biobank is available for open access, without the need for collaboration, to any bonafide researcher who wishes to use it to conduct health-related research for the benefit ofthe public.
Comninos AN, Anastasovska J, Sahuri-Arisoylu M, et al., 2015, Kisspeptin signaling in the amygdala modulates reproductive hormone secretion, Brain Structure & Function, Vol: 221, Pages: 2035-2047, ISSN: 1863-2661
Kisspeptin (encoded by KISS1) is a crucial activator of reproductive function. The role of kisspeptin has been studied extensively within the hypothalamus but little is known about its significance in other areas of the brain. KISS1 and its cognate receptor are expressed in the amygdala, a key limbic brain structure with inhibitory projections to hypothalamic centers involved in gonadotropin secretion. We therefore hypothesized that kisspeptin has effects on neuronal activation and reproductive pathways beyond the hypothalamus and particularly within the amygdala. To test this, we mapped brain neuronal activity (using manganese-enhanced MRI) associated with peripheral kisspeptin administration in rodents. We also investigated functional relevance by measuring the gonadotropin response to direct intra-medial amygdala (MeA) administration of kisspeptin and kisspeptin antagonist. Peripheral kisspeptin administration resulted in a marked decrease in signal intensity in the amygdala compared to vehicle alone. This was associated with an increase in luteinizing hormone (LH) secretion. In addition, intra-MeA administration of kisspeptin resulted in increased LH secretion, while blocking endogenous kisspeptin signaling within the amygdala by administering intra-MeA kisspeptin antagonist decreased both LH secretion and LH pulse frequency. We provide evidence for the first time that neuronal activity within the amygdala is decreased by peripheral kisspeptin administration and that kisspeptin signaling within the amygdala contributes to the modulation of gonadotropin release and pulsatility. Our data suggest that kisspeptin is a ‘master regulator’ of reproductive physiology, integrating limbic circuits with the regulation of gonadotropin-releasing hormone neurons and reproductive hormone secretion.
Ntusi NA, Sever E, Lockey J, et al., 2015, Impaired myocardial perfusion is associated with extracellular volume expansion, disease activity and impaired strain and strain rate in systemic sclerosis: A cardiovascular magnetic resonance study, Journal of Cardiovascular Magnetic Resonance, Pages: 1-3, ISSN: 1097-6647
Ntusi NA, Sever E, Lockey J, et al., 2015, Impaired myocardial perfusion in rheumatoid arthritis is associated with impaired strain, strain rate, disease activity and myocardial oedema: A cardiovascular magnetic resonance study, Journal of Cardiovascular Magnetic Resonance, Pages: 1-3, ISSN: 1097-6647
Ntusi NA, Sever E, Lockey J, et al., 2015, Abnormal myocardial perfusion correlates with impaired systolic strain and diastolic strain rate in systemic lupus erythematosus: A cardiovascular magnetic resonance study, Journal of Cardiovascular Magnetic Resonance, Pages: 1-3, ISSN: 1097-6647
Ntusi NA, Holloway C, Francis JM, et al., 2015, Impaired energetics and normal myocardial lipids in rheumatoid arthritis and systemic lupus erythematosus: A phosphorous and proton magnetic resonance spectroscopy and cardiovascular magnetic resonance study, Journal of Cardiovascular Magnetic Resonance, Pages: 1-3, ISSN: 1097-6647
Jacobs HIL, Wiese S, van de Ven V, et al., 2015, Relevance of parahippocampal-locus coeruleus connectivity to memory in early dementia, NEUROBIOLOGY OF AGING, Vol: 36, Pages: 618-626, ISSN: 0197-4580
Shields GS, Coissi GS, Jimenez-Royo P, et al., 2015, BIOENERGETICS AND INTERMUSCULAR FAT IN CHRONIC OBSTRUCTIVE PULMONARY DISEASE-ASSOCIATED QUADRICEPS WEAKNESS, MUSCLE & NERVE, Vol: 51, Pages: 214-221, ISSN: 0148-639X
Yang X, Nie L, Matthews PM, et al., 2015, The critical regularization value: incorporating spatial smoothness to enhance signal detection in highly noisy fMRI data, 7th Annual International IEEE EMBS Conference on Neural Engineering (NER), Publisher: IEEE, Pages: 1076-1079, ISSN: 1948-3546
Matthews PM, 2015, Professor Paul Matthews talks 'big data' within multiple sclerosis., Neurodegener Dis Manag, Vol: 5, Pages: 101-104
Douaud G, Groves AR, Tamnes CK, et al., 2014, A common brain network links development, aging, and vulnerability to disease, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, Vol: 111, Pages: 17648-17653, ISSN: 0027-8424
Bishop CA, Ricotti V, Sinclair CDJ, et al., 2014, Semi-automated analysis of diaphragmatic motion during deep breathing using dynamic MRI in both healthy controls and non-ambulant Duchenne muscular dystrophy, 19th International Congress of the World-Muscle-Society, Publisher: PERGAMON-ELSEVIER SCIENCE LTD, Pages: 852-853, ISSN: 0960-8966
Linortner P, Jehna M, Johansen-Berg H, et al., 2014, Aging associated changes in the motor control of ankle movements in the brain, NEUROBIOLOGY OF AGING, Vol: 35, Pages: 2222-2229, ISSN: 0197-4580
Ntusi NAB, Sever E, Lockey J, et al., 2014, Myocardial perfusion reserve is associated with impaired strain and higher disease activity in rheumatoid arthritis: cardiovascular magnetic resonance study, Annual Meeting of the European-Society-of-Cardiology (ESC), Publisher: OXFORD UNIV PRESS, Pages: 796-796, ISSN: 0195-668X
Colasanti A, Guo Q, Muhlert N, et al., 2014, In Vivo Assessment of Brain White Matter Inflammation in Multiple Sclerosis with F-18-PBR111 PET, JOURNAL OF NUCLEAR MEDICINE, Vol: 55, Pages: 1112-1118, ISSN: 0161-5505
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