69 results found
Li K, Bentley P, Nair A, et al., 2018, Reward sensitivity predicts dopaminergic response in spatial neglect., Cortex
It has recently been revealed that spatial neglect can be modulated by motivational factors including anticipated monetary reward. A number of dopaminergic agents have been evaluated as treatments for neglect, but the results have been mixed, with no clear anatomical or cognitive predictors of dopaminergic responsiveness. Given that the effects of incentive motivation are mediated by dopaminergic pathways that are variably damaged in stroke, we tested the hypothesis that the modulatory influences of reward and dopaminergic drugs on neglect are themselves related. We employed a single-dose, double-blind, crossover design to compare the effects of Co-careldopa and placebo on a modified visual cancellation task in patients with neglect secondary to right hemisphere stroke. Whilst confirming that reward improved visual search in this group, we showed that dopaminergic stimulation only enhances visual search in the absence of reward. When patients were divided into REWARD-RESPONDERs and REWARD-NON-RESPONDERs, we found an interaction, such that only REWARD-NON-RESPONDERs showed a positive response to reward after receiving Co-careldopa, whereas REWARD-RESPONDERs were not influenced by drug. At a neuroanatomical level, responsiveness to incentive motivation was most associated with intact dorsal striatum. These findings suggest that dopaminergic modulation of neglect follows an 'inverted U' function, is dependent on integrity of the reward system, and can be measured as a behavioural response to anticipated reward.
Chen L, Jones ALC, Mair G, et al., 2018, Rapid Automated Quantification of Cerebral Leukoaraiosis on CT Images: A Multicenter Validation Study, RADIOLOGY, Vol: 288, Pages: 573-581, ISSN: 0033-8419
Bentley P, Sharma P, 2018, Neurological disorders - epilepsy, Parkinson's disease and multiple sclerosis, Clinical pharmacology: 12th edition, Editors: Brown, Sharma, Mir, Bennett, Publisher: Elsevier, ISBN: 978-0702073281
Rinne P, Hassan M, Fernandes C, et al., 2018, Motor dexterity and strength depend upon integrity of the attention-control system, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, Vol: 115, Pages: E536-E545, ISSN: 0027-8424
Bentley P, Burdet E, Rinne P, et al., 2018, A force measurement mechanism, 15544596
Mace M, Kinany N, Rinne P, et al., 2017, Balancing the playing field: collaborative gaming for physical training, JOURNAL OF NEUROENGINEERING AND REHABILITATION, Vol: 14, ISSN: 1743-0003
Mace M, Rinne P, Liardon J-L, et al., 2017, Elasticity improves handgrip performance and user experience during visuomotor control, ROYAL SOCIETY OPEN SCIENCE, Vol: 4, ISSN: 2054-5703
Mace M, Rinne P, Kinany N, et al., 2017, Collaborative Gaming to Enhance Patient Performance During Virtual Therapy, 3rd International Conference on NeuroRehabilitation (ICNR), Publisher: SPRINGER INTERNATIONAL PUBLISHING AG, Pages: 375-379, ISSN: 2195-3562
Chen L, Bentley P, Rueckert D, 2017, Fully automatic acute ischemic lesion segmentation in DWI using convolutional neural networks, NEUROIMAGE-CLINICAL, Vol: 15, Pages: 633-643, ISSN: 2213-1582
Maier O, Menze BH, von der Gablentz J, et al., 2017, ISLES 2015-A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI, MEDICAL IMAGE ANALYSIS, Vol: 35, Pages: 250-269, ISSN: 1361-8415
Rinne P, Mace M, Nakornchai T, et al., 2016, Democratizing Neurorehabilitation: How Accessible are Low-Cost Mobile-Gaming Technologies for Self-Rehabilitation of Arm Disability in Stroke?, PLOS ONE, Vol: 11, ISSN: 1932-6203
Tran T, Cotlarciuc I, Yadav S, et al., 2016, Candidate-gene analysis of white matter hyperintensities on neuroimaging., J Neurol Neurosurg Psychiatry, Vol: 87, Pages: 260-266
BACKGROUND: White matter hyperintensities (WMH) are a common radiographic finding and may be a useful endophenotype for small vessel diseases. Given high heritability of WMH, we hypothesised that certain genotypes may predispose individuals to these lesions and consequently, to an increased risk of stroke, dementia and death. We performed a meta-analysis of studies investigating candidate genes and WMH to elucidate the genetic susceptibility to WMH and tested associated variants in a new independent WMH cohort. We assessed a causal relationship of WMH to methylene tetrahydrofolate reductase (MTHFR). METHODS: Database searches through March 2014 were undertaken and studies investigating candidate genes in WMH were assessed. Associated variants were tested in a new independent ischaemic cohort of 1202 WMH patients. Mendelian randomization was undertaken to assess a causal relationship between WMH and MTHFR. RESULTS: We identified 43 case-control studies interrogating eight polymorphisms in seven genes covering 6,314 WMH cases and 15,461 controls. Fixed-effects meta-analysis found that the C-allele containing genotypes of the aldosterone synthase CYP11B2 T(-344)C gene polymorphism were associated with a decreased risk of WMH (OR=0.61; 95% CI, 0.44 to 0.84; p=0.003). Using mendelian randomisation the association among MTHFR C677T, homocysteine levels and WMH, approached, but did not reach, significance (expected OR=1.75; 95% CI, 0.90-3.41; observed OR=1.68; 95% CI, 0.97-2.94). Neither CYP11B2 T(-344)C nor MTHFR C677T were significantly associated when tested in a new independent cohort of 1202 patients with WMH. CONCLUSIONS: There is a genetic basis to WMH but anonymous genome wide and exome studies are more likely to provide novel loci of interest.
Gunnoo T, Hasan N, Khan MS, et al., 2016, Quantifying the risk of heart disease following acute ischaemic stroke: a meta-analysis of over 50,000 participants., BMJ Open, Vol: 6
OBJECTIVE: Following an acute stroke, there is a high risk of recurrence. However, the leading cause of mortality following a stroke is due to coronary artery disease (CAD) and myocardial infarction (MI) but that risk has not been robustly quantified. We sought to reliably quantify the risk of ischaemic heart disease (IHD) in patients presenting with acute ischaemic stroke (AIS) in the absence of a known cardiac history. SETTING: A meta-analysis study. PubMed, MEDLINE, EMBASE and Google Scholar were searched for potential studies up to October 2015. Included studies reported an acute cerebral ischaemic event and followed for CAD or MI within 1 year in patients without known IHD. Using arcsine transformed proportions for meta-analysis, studies were combined using a generic inverse variance random-effects model to calculate the pooled standardised mean difference and 95% CIs. These were interpreted as the percentage prevalence of CAD or incidence of MI following AIS. RESULTS: 17 studies with 4869 patients with AIS demonstrated a mean average of asymptomatic CAD in 52%. Anatomical methods of CAD detection revealed a prevalence of asymptomatic ≥ 50% coronary stenosis in 32% (95% CI 19% to 47%; p<0.00001). 8 studies with 47229 patients with ischaemic stroke revealed an overall risk of MI in the year following stroke of 3% (95% CI 1% to 5%; p<0.00001) despite the absence of any cardiac history. CONCLUSIONS: One-third of patients with ischaemic stroke with no cardiac history have more than 50% coronary stenosis and 3% are at risk of developing MI within a year. Our findings provide a reliable quantitative measure of the risk of IHD following AIS in patients with no cardiac history.
Barrow T, Khan MS, Halse O, et al., 2016, Estimating Weight of Patients With Acute Stroke When Dosing for Thrombolysis., Stroke, Vol: 47, Pages: 228-231
BACKGROUND AND PURPOSE: Estimating patient weight forms an important part of emergency ischemic stroke management guiding the dose of alteplase (tissue-type plasminogen activator). Weighing patients with stroke can be logistically challenging and time consuming, potentially delaying treatment times. We aimed to assess the reliability of approximating weight to determine recombinant tissue-type plasminogen activator dose and whether potential inaccurate dosing affected patient outcomes. METHODS: Two hundred forty-two consecutive patients were studied at a large tertiary stroke center. Estimated and actual measured weight, alteplase dose, and pre-and post-modified Rankin Scale/National Institute of Health Stroke Scale outcome were recorded for each patient. RESULTS: Clinicians significantly underestimated weights by 1.13 kg (range, -43 to +18 kg; SD, 7.14; P<0.05). The difference between estimated and actual weight proved to be greatest in the heaviest third of patients (-4.51 kg; SD, 8.35; P<0.001), resulting in 19.7% of patients receiving a deviation of at least 10% from the recommended recombinant tissue-type plasminogen activator dose. On average, the heaviest third of patients received an underdose of 0.04 mg/kg and were found to have a greater baseline National Institute of Health Stroke Scale on admission (P<0.001). National Institute of Health Stroke Scale improvement by day 7 or on discharge was significantly reduced in patients weighing >78 kg (National Institute of Health Stroke Scale score difference of 4.0 points, P<0.05) than in lighter individuals. CONCLUSIONS: Clinicians are poor at approximating the weights of patients with stroke in the acute setting, especially when patients lie at the extremes of weight. Beds capable of weighing patients should be mandated in emergency rooms for patients with acute stroke.
Rinne P, Hassan M, Liardon J, et al., 2015, Hand-and-brain training after motor stroke: Defining the problem and innovating a solution, INTERNATIONAL JOURNAL OF STROKE, Vol: 10, Pages: 67-67, ISSN: 1747-4930
Mace M, Rinne P, Liardon J, et al., Comparison of flexible and rigid hand-grip control during a feed-forward visual tracking task, Rehabilitation Robotics (ICORR), 2015 IEEE International Conference on, ISSN: 1945-7901
Lobotesis K, Mahady K, Ganesalingam J, et al., 2015, Coiling-associated delayed cerebral hypersensitivity: Is nickel the link?, Neurology, Vol: 84, Pages: 97-99
Chen L, Tong T, Ho CP, et al., 2015, Identification of Cerebral Small Vessel Disease Using Multiple Instance Learning, MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2015, PT I, Vol: 9349, Pages: 523-530, ISSN: 0302-9743
Majersik JJ, Cole JW, Golledge J, et al., 2015, Recommendations From the International Stroke Genetics Consortium, Part 1 Standardized Phenotypic Data Collection, STROKE, Vol: 46, Pages: 279-+, ISSN: 0039-2499
Mace M, Rinne P, Liardon J-L, et al., 2015, Comparison of flexible and rigid hand-grip control during a feed-forward visual tracking task, 14th IEEE/RAS-EMBS International Conference on Rehabilitation Robotics (ICORR), Publisher: IEEE, Pages: 792-797, ISSN: 1945-7898
Banerjee S, Bentley P, Hamady M, et al., 2014, Intra-Arterial Immunoselected CD34+Stem Cells for Acute Ischemic Stroke, STEM CELLS TRANSLATIONAL MEDICINE, Vol: 3, Pages: 1322-1330, ISSN: 2157-6564
Epton S, Bentley P, Ganesalingam J, et al., 2014, CTBRAIN MACHINE LEARNING PREDICTS STROKE THROMBOLYSIS RESULT, Meeting of the Associatiion-of-British-Neurologists, Publisher: BMJ PUBLISHING GROUP, ISSN: 0022-3050
Bentley P, Kumar G, Rinne P, et al., 2014, Lesion locations influencing baseline severity and early recovery in ischaemic stroke, EUROPEAN JOURNAL OF NEUROLOGY, Vol: 21, Pages: 1226-1232, ISSN: 1351-5101
Slark J, Khan MS, Bentley P, et al., 2014, Knowledge of blood pressure in a UK general public population, JOURNAL OF HUMAN HYPERTENSION, Vol: 28, Pages: 500-503, ISSN: 0950-9240
de Bourbon-Teles J, Bentley P, Koshino S, et al., 2014, Thalamic Control of Human Attention Driven by Memory and Learning, CURRENT BIOLOGY, Vol: 24, Pages: 993-999, ISSN: 0960-9822
Devine MJ, Bentley P, Jones B, et al., 2014, The role of the right inferior frontal gyrus in the pathogenesis of post-stroke psychosis, JOURNAL OF NEUROLOGY, Vol: 261, Pages: 600-603, ISSN: 0340-5354
Rinne PE, Soto D, Sharma P, et al., 2014, Post-exercise brain network connectivity modulations in motor stroke, CEREBROVASCULAR DISEASES, Vol: 37, Pages: 46-46, ISSN: 1015-9770
Bentley P, Ganesalingam J, Jones ALC, et al., 2014, Prediction of stroke thrombolysis outcome using CT brain machine learning, NEUROIMAGE-CLINICAL, Vol: 4, Pages: 635-640, ISSN: 2213-1582
Slark J, Khan MS, Bentley P, et al., 2014, Individual Risk Awareness Intervention in Stroke (IRAIS): A Randomized Controlled Trial., J Neurol Disord Stroke, Vol: 1035
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