135 results found
Arshad Q, Roberts RE, Ahmad H, et al., 2017, Patients with chronic dizziness following traumatic head injury typically have multiple diagnoses involving combined peripheral and central vestibular dysfunction, CLINICAL NEUROLOGY AND NEUROSURGERY, Vol: 155, Pages: 17-19, ISSN: 0303-8467
Booiman T, Wit FW, Maurer I, et al., 2017, High Cellular Monocyte Activation in People Living With Human Immunodeficiency Virus on Combination Antiretroviral Therapy and Lifestyle-Matched Controls Is Associated With Greater Inflammation in Cerebrospinal Fluid., Open Forum Infect Dis, Vol: 4, ISSN: 2328-8957
BACKGROUND: Increased monocyte activation and intestinal damage have been shown to be predictive for the increased morbidity and mortality observed in treated people living with human immunodeficiency virus (PLHIV). METHODS: A cross-sectional analysis of cellular and soluble markers of monocyte activation, coagulation, intestinal damage, and inflammation in plasma and cerebrospinal fluid (CSF) of PLHIV with suppressed plasma viremia on combination antiretroviral therapy and age and demographically comparable HIV-negative individuals participating in the Comorbidity in Relation to AIDS (COBRA) cohort and, where appropriate, age-matched blood bank donors (BBD). RESULTS: People living with HIV, HIV-negative individuals, and BBD had comparable percentages of classical, intermediate, and nonclassical monocytes. Expression of CD163, CD32, CD64, HLA-DR, CD38, CD40, CD86, CD91, CD11c, and CX3CR1 on monocytes did not differ between PLHIV and HIV-negative individuals, but it differed significantly from BBD. Principal component analysis revealed that 57.5% of PLHIV and 62.5% of HIV-negative individuals had a high monocyte activation profile compared with 2.9% of BBD. Cellular monocyte activation in the COBRA cohort was strongly associated with soluble markers of monocyte activation and inflammation in the CSF. CONCLUSIONS: People living with HIV and HIV-negative COBRA participants had high levels of cellular monocyte activation compared with age-matched BBD. High monocyte activation was predictive for inflammation in the CSF.
Chhabra S, Underwood J, Cole JH, et al., 2017, Clinical research cerebral MRI findings in HIV positive subjects and appropriate controls, Publisher: WILEY, Pages: 10-10, ISSN: 1464-2662
Chiou SY, Hellyer PJ, Sharp DJ, et al., 2017, Relationships between the integrity and function of lumbar nerve roots as assessed by diffusion tensor imaging and neurophysiology, NEURORADIOLOGY, Vol: 59, Pages: 893-903, ISSN: 0028-3940
Age-associated disease and disability are placing a growing burden on society. However, ageing does not affect people uniformly. Hence, markers of the underlying biological ageing process are needed to help identify people at increased risk of age-associated physical and cognitive impairments and ultimately, death. Here, we present such a biomarker, 'brain-predicted age', derived using structural neuroimaging. Brain-predicted age was calculated using machine-learning analysis, trained on neuroimaging data from a large healthy reference sample (N=2001), then tested in the Lothian Birth Cohort 1936 (N=669), to determine relationships with age-associated functional measures and mortality. Having a brain-predicted age indicative of an older-appearing brain was associated with: weaker grip strength, poorer lung function, slower walking speed, lower fluid intelligence, higher allostatic load and increased mortality risk. Furthermore, while combining brain-predicted age with grey matter and cerebrospinal fluid volumes (themselves strong predictors) not did improve mortality risk prediction, the combination of brain-predicted age and DNA-methylation-predicted age did. This indicates that neuroimaging and epigenetics measures of ageing can provide complementary data regarding health outcomes. Our study introduces a clinically-relevant neuroimaging ageing biomarker and demonstrates that combining distinct measurements of biological ageing further helps to determine risk of age-related deterioration and death.Molecular Psychiatry advance online publication, 25 April 2017; doi:10.1038/mp.2017.62.
Cole JH, Underwood J, Caan MWA, et al., 2017, Increased brain-predicted aging in treated HIV disease, NEUROLOGY, Vol: 88, Pages: 1349-1357, ISSN: 0028-3878
Feeney C, Sharp DJ, Hellyer PJ, et al., 2017, Serum Insulin-like Growth Factor-I Levels are Associated with Improved White Matter Recovery after Traumatic Brain Injury, ANNALS OF NEUROLOGY, Vol: 82, Pages: 30-43, ISSN: 0364-5134
Ghajari M, Hellyer PJ, Sharp DJ, 2017, Computational modelling of traumatic brain injury predicts the location of chronic traumatic encephalopathy pathology, BRAIN, Vol: 140, Pages: 333-343, ISSN: 0006-8950
Goverdovsky V, von Rosenberg W, Nakamura T, et al., 2017, Hearables: Multimodal physiological in-ear sensing., Sci Rep, Vol: 7
Future health systems require the means to assess and track the neural and physiological function of a user over long periods of time, and in the community. Human body responses are manifested through multiple, interacting modalities - the mechanical, electrical and chemical; yet, current physiological monitors (e.g. actigraphy, heart rate) largely lack in cross-modal ability, are inconvenient and/or stigmatizing. We address these challenges through an inconspicuous earpiece, which benefits from the relatively stable position of the ear canal with respect to vital organs. Equipped with miniature multimodal sensors, it robustly measures the brain, cardiac and respiratory functions. Comprehensive experiments validate each modality within the proposed earpiece, while its potential in wearable health monitoring is illustrated through case studies spanning these three functions. We further demonstrate how combining data from multiple sensors within such an integrated wearable device improves both the accuracy of measurements and the ability to deal with artifacts in real-world scenarios.
Martin-Bastida A, Ward RJ, Newbould R, et al., 2017, Brain iron chelation by deferiprone in a phase 2 randomised double-blinded placebo controlled clinical trial in Parkinson's disease, SCIENTIFIC REPORTS, Vol: 7, ISSN: 2045-2322
Roberts RE, Ahmad H, Arshad Q, et al., 2017, Functional neuroimaging of visuo-vestibular interaction, BRAIN STRUCTURE & FUNCTION, Vol: 222, Pages: 2329-2343, ISSN: 1863-2653
Shamshiri EA, Tierney TM, Centeno M, et al., 2017, Interictal activity is an important contributor to abnormal intrinsic network connectivity in paediatric focal epilepsy, HUMAN BRAIN MAPPING, Vol: 38, Pages: 221-236, ISSN: 1065-9471
Sharp DJ, 2017, BRAIN IMAGING AFTER TBI, 30th Annual General Meeting of the British-Neuropsychiatry-Association (BNPA), Publisher: BMJ PUBLISHING GROUP, Pages: E10-E10, ISSN: 0022-3050
Su T, Mutsaerts HJMM, Caan MWA, et al., 2017, Cerebral blood flow and cognitive function in HI-infected men with sustained suppressed viremia on combination antiretroviral therapy, AIDS, Vol: 31, Pages: 847-856, ISSN: 0269-9370
Underwood J, Cole JH, Caan M, et al., 2017, Gray and White Matter Abnormalities in Treated Human Immunodeficiency Virus Disease and Their Relationship to Cognitive Function, CLINICAL INFECTIOUS DISEASES, Vol: 65, Pages: 422-432, ISSN: 1058-4838
Violante IR, Li LM, Carmichael DW, et al., 2017, Externally induced frontoparietal synchronization modulates network dynamics and enhances working memory performance., Elife, Vol: 6
Cognitive functions such as working memory (WM) are emergent properties of large-scale network interactions. Synchronisation of oscillatory activity might contribute to WM by enabling the coordination of long-range processes. However, causal evidence for the way oscillatory activity shapes network dynamics and behavior in humans is limited. Here we applied transcranial alternating current stimulation (tACS) to exogenously modulate oscillatory activity in a right frontoparietal network that supports WM. Externally induced synchronization improved performance when cognitive demands were high. Simultaneously collected fMRI data reveals tACS effects dependent on the relative phase of the stimulation and the internal cognitive processing state. Specifically, synchronous tACS during the verbal WM task increased parietal activity, which correlated with behavioral performance. Furthermore, functional connectivity results indicate that the relative phase of frontoparietal stimulation influences information flow within the WM network. Overall, our findings demonstrate a link between behavioral performance in a demanding WM task and large-scale brain synchronization.
Whittington A, Sharp DJ, Gunn RN, 2017, An automated algorithm to quantify brain amyloid load, 28th International Symposium on Cerebral Blood Flow, Metabolism and Function / 13th International Conference on Quantification of Brain Function with PET, Publisher: SAGE PUBLICATIONS INC, Pages: 80-80, ISSN: 0271-678X
Ahmad H, Arshad Q, Roberts R, et al., 2016, CHRONIC DIZZINESS POST TRAUMATIC BRAIN INJURY: A CROSS-SECTIONAL STUDY, Annual Meeting of the Association-of-British-Neurologists (ABN), Publisher: BMJ PUBLISHING GROUP, ISSN: 0022-3050
De Simoni S, Grover PJ, Jenkins PO, et al., 2016, Disconnection between the default mode network and medial temporal lobes in post-traumatic amnesia, BRAIN, Vol: 139, Pages: 3137-3150, ISSN: 0006-8950
De Simoni S, Kochaj R, Jenkins P, et al., 2016, Changes in cerebral blood flow and their relationship to cognition following traumatic brain injury, Publisher: TAYLOR & FRANCIS INC, Pages: 605-605, ISSN: 0269-9052
Dinov M, Lorenz R, Scott G, et al., 2016, Novel Modeling of Task vs. Rest Brain State Predictability Using a Dynamic Time Warping Spectrum: Comparisons and Contrasts with Other Standard Measures of Brain Dynamics, FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, Vol: 10, ISSN: 1662-5188
Fagerholm ED, Scott G, Shew WL, et al., 2016, Cortical Entropy, Mutual Information and Scale-Free Dynamics in Waking Mice, CEREBRAL CORTEX, Vol: 26, Pages: 3945-3952, ISSN: 1047-3211
Feeney C, Scott G, Raffel J, et al., 2016, Kinetic analysis of the translocator protein positron emission tomography ligand [F-18]GE-180 in the human brain, EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, Vol: 43, Pages: 2201-2210, ISSN: 1619-7070
Jamall OA, Feeney C, Zaw-Linn J, et al., 2016, Prevalence and correlates of vitamin D deficiency in adults after traumatic brain injury, CLINICAL ENDOCRINOLOGY, Vol: 85, Pages: 636-644, ISSN: 0300-0664
Jenkins P, De Simoni S, Fleminger J, et al., 2016, Disruption to the dopaminergic system following traumatic brain injury, Publisher: TAYLOR & FRANCIS INC, Pages: 670-670, ISSN: 0269-9052
Jenkins PO, De Simoni S, Fleminger J, et al., 2016, DISRUPTION TO THE DOPAMINERGIC SYSTEM AFTER TRAUMATIC BRAIN INJURY, Annual Meeting of the Association-of-British-Neurologists (ABN), Publisher: BMJ PUBLISHING GROUP, ISSN: 0022-3050
Jenkins PO, Mehta MA, Sharp DJ, 2016, Catecholamines and cognition after traumatic brain injury, BRAIN, Vol: 139, Pages: 2345-2371, ISSN: 0006-8950
Jolly AE, De Simoni S, Cole JH, et al., 2016, Identifying cognitive impairment in TBI: A novel multivariate approach, Publisher: TAYLOR & FRANCIS INC, Pages: 518-518, ISSN: 0269-9052
Li L, Violante I, Ross E, et al., 2016, BRAIN NETWORK MODULATION WITH NON-INVASIVE BRAIN STIMULATION, Annual Meeting of the Association-of-British-Neurologists (ABN), Publisher: BMJ PUBLISHING GROUP, ISSN: 0022-3050
Lorenz R, Monti RP, Hampshire A, et al., 2016, Towards tailoring non-invasive brain stimulation using real-time fMRI and Bayesian optimization, 6th International Workshop on Pattern Recognition in Neuroimaging (PRNI), Publisher: IEEE, Pages: 49-52, ISSN: 2330-9989
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