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  • Book chapter
    Hampshire A, 2017,

    A Functional Network Perspective on the Role of the Frontal Lobes in Executive Cognition

    , Executive Functions in Health and Disease, Editors: Goldberg, Publisher: Elsevier, Pages: 71-100
  • Journal article
    Roberts RE, Arshad Q, Patel M, Dima D, Leech R, Seemungal BM, Sharp DS, Bronstein AMet al., 2016,

    Functional neuroimaging of visuo-vestibular interaction

    , Brain Structure & Function, Vol: 222, Pages: 2329-2343, ISSN: 1863-2661

    The brain combines visual, vestibular and proprioceptive information to distinguish between self-and world-motion. Often these signals are complementary and indicate that the individual is moving or stationary with respect to the surroundings. However, conflicting visual motion and vestibular cues can lead to ambiguous or false sensations of motion. In this study, we used functional magnetic resonance imaging to explore human brain activation when visual and vestibular cues were either complementary or in conflict. We combined a horizontally moving optokinetic stimulus with caloric irrigation of the right ear to produce conditions where the vestibular activation and visual motion indicatedthe same (congruent) or opposite directions of self-motion (incongruent). Visuo-vestibular conflict was associated with increased activation in a network of brain regions including posterior insular and transverse temporal areas, cerebellar tonsil, cingulate and medial frontal gyri. In the congruent condition there was increased activation in primary and secondary visual cortex. These findings suggest that when sensory information regarding self-motion is contradictory, there is preferential activation of multisensoryvestibular areas to resolve this ambiguity. When cues are congruent there is a bias towards visual cortical activation. The data support the view thata network of brain areas including the posterior insular cortex may play animportant role in integrating and disambiguating visual and vestibular cues.

  • Journal article
    Datta G, Violante IR, Scott G, Zimmerman K, Santos-Ribeiro A, Rabiner EA, Gunn RN, Malik O, Ciccarelli O, Nicholas R, Matthews PMet al., 2016,

    Translocator positron-emission tomography and magnetic resonance spectroscopic imaging of brain glial cell activation in multiple sclerosis.

    , Multiple Sclerosis, Vol: 23, Pages: 1469-1478, ISSN: 1352-4585

    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.

  • Conference paper
    Jenkins PO, De Simoni S, Fleminger J, Bourke N, Jolly A, Cole J, Darian D, Sharp Det 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: 1468-330X
  • Conference paper
    Ahmad H, Arshad Q, Roberts R, Patel M, Ham T, Sharp D, Seemungal Bet 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
  • Conference paper
    Scott G, Jolly A, Jenkins PO, Lingford-Hughes A, Patel M, Goldstone A, Matthews P, Sharp Det al., 2016,

    THE EFFECT OF MINOCYCLINE ON NEUROINFLAMMATION AFTER BRAIN TRAUMA

    , Annual Meeting of the Association-of-British-Neurologists (ABN), Publisher: BMJ PUBLISHING GROUP, ISSN: 0022-3050
  • Conference paper
    Li L, Violante I, Ross E, Leech R, Hampshire A, Carmichael D, Sharp Det 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
  • Journal article
    Scott G, Mahmud M, Owen DR, Johnson MRet al., 2016,

    Microglial positron emission tomography (PET) imaging in epilepsy: applications, opportunities and pitfalls

    , Seizure-European Journal of Epilepsy, Vol: 44, Pages: 42-47, ISSN: 1059-1311

    Neuroinflammation is increasingly implicated in epileptogenesis and epilepsy. Microglia are an important mediator of central nervous system inflammation, and the development of positron emission tomography (PET) radioligands which bind the Translocator Protein (TSPO), an outer mitochondrial membrane protein expressed by microglia, has enabled in vivo measurement of neuroinflammation. Here, we outline the principles and potential pitfalls of TSPO PET imaging in relation to epilepsy, and opportunities for using TSPO imaging as a biomarker for future anti-inflammatory based therapeutics in epilepsy.

  • Journal article
    Rajchl M, Lee MCH, Oktay O, Kamnitsas K, Passerat-Palmbach J, Bai W, Damodaram M, Rutherford MA, Hajnal JV, Kainz B, Rueckert Det al., 2016,

    DeepCut: object segmentation from bounding box annotations using convolutional neural networks

    , IEEE Transactions on Medical Imaging, Vol: 36, Pages: 674-683, ISSN: 0278-0062

    In this paper, we propose DeepCut, a method to obtain pixelwise object segmentations given an image dataset labelled weak annotations, in our case bounding boxes. It extends the approach of the well-known GrabCut[1] method to include machine learning by training a neural network classifier from bounding box annotations. We formulate the problem as an energy minimisation problem over a densely-connected conditional random field and iteratively update the training targets to obtain pixelwise object segmentations. Additionally, we propose variants of the DeepCut method and compare those to a naïve approach to CNN training under weak supervision. We test its applicability to solve brain and lung segmentation problems on a challenging fetal magnetic resonance dataset and obtain encouraging results in terms of accuracy.

  • Journal article
    von Rosenberg W, Chanwimalueang T, Goverdovsky V, Looney D, Sharp D, Mandic DPet al., 2016,

    Smart helmet: wearable multichannel ECG & EEG

    , IEEE Journal of Translational Engineering in Health and Medicine, Vol: 4, ISSN: 2168-2372

    Modern wearable technologies have enabled continuous recording of vital signs, however, for activities such as cycling, motor-racing, or military engagement, a helmet with embedded sensors would provide maximum convenience and the opportunity to monitor simultaneously both the vital signs and the electroencephalogram (EEG). To this end, we investigate the feasibility of recording the electrocardiogram (ECG), respiration, and EEG from face-lead locations, by embedding multiple electrodes within a standard helmet. The electrode positions are at the lower jaw, mastoids, and forehead, while for validation purposes a respiration belt around the thorax and a reference ECG from the chest serve as ground truth to assess the performance. The within-helmet EEG is verified by exposing the subjects to periodic visual and auditory stimuli and screening the recordings for the steady-state evoked potentials in response to these stimuli. Cycling and walking are chosen as real-world activities to illustrate how to deal with the so-induced irregular motion artifacts, which contaminate the recordings. We also propose a multivariate R-peak detection algorithm suitable for such noisy environments. Recordings in real-world scenarios support a proof of concept of the feasibility of recording vital signs and EEG from the proposed smart helmet.

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