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    Monti RP, Lorenz R, Braga RM, Anagnostopoulos C, Leech R, Montana Get al., 2017,

    Real-time estimation of dynamic functional connectivity networks

    , HUMAN BRAIN MAPPING, Vol: 38, Pages: 202-220, ISSN: 1065-9471
    Noronha B, Dziemian S, Zito GA, Konnaris C, Faisal AAet al., 2017,

    'Wink to grasp' - Comparing eye, voice & EMG gesture control of grasp with soft-robotic gloves

    , Pages: 1043-1048, ISSN: 1945-7898

    © 2017 IEEE. The ability of robotic rehabilitation devices to support paralysed end-users is ultimately limited by the degree to which human-machine-interaction is designed to be effective and efficient in translating user intention into robotic action. Specifically, we evaluate the novel possibility of binocular eye-tracking technology to detect voluntary winks from involuntary blink commands, to establish winks as a novel low-latency control signal to trigger robotic action. By wearing binocular eye-tracking glasses we enable users to directly observe their environment or the actuator and trigger movement actions, without having to interact with a visual display unit or user interface. We compare our novel approach to two conventional approaches for controlling robotic devices based on electromyo-graphy (EMG) and speech-based human-computer interaction technology. We present an integrated software framework based on ROS that allows transparent integration of these multiple modalities with a robotic system. We use a soft-robotic SEM glove (Bioservo Technologies AB, Sweden) to evaluate how the 3 modalities support the performance and subjective experience of the end-user when movement assisted. All 3 modalities are evaluated in streaming, closed-loop control operation for grasping physical objects. We find that wink control shows the lowest error rate mean with lowest standard deviation of (0.23 ± 0.07, mean ± SEM) followed by speech control (0.35 ± 0. 13) and EMG gesture control (using the Myo armband by Thalamic Labs), with the highest mean and standard deviation (0.46 ± 0.16). We conclude that with our novel own developed eye-tracking based approach to control assistive technologies is a well suited alternative to conventional approaches, especially when combined with 3D eye-tracking based robotic end-point control.

    Quicke P, Barnes SJ, Knöpfel T, 2017,

    Imaging of Brain Slices with a Genetically Encoded Voltage Indicator.

    , Methods Mol Biol, Vol: 1563, Pages: 73-84

    Functional fluorescence microscopy of brain slices using voltage sensitive fluorescent proteins (VSFPs) allows large scale electrophysiological monitoring of neuronal excitation and inhibition. We describe the equipment and techniques needed to successfully record functional responses optical voltage signals from cells expressing a voltage indicator such as VSFP Butterfly 1.2. We also discuss the advantages of voltage imaging and the challenges it presents.

    Quicke P, Neil M, Knopfel T, Schultz SR, Foust AJet al., 2017,

    Source-Localized Multifocal Two-Photon Microscopy for High-Speed Functional Imaging

    , 71st Annual Meeting of the Society-of-General-Physiologists (SGP) on Optical Revolution in Physiology - From Membrane to Brain, Publisher: ROCKEFELLER UNIV PRESS, Pages: 13A-14A, ISSN: 0022-1295
    Roberts RE, Ahmad H, Arshad Q, Patel M, Dima D, Leech R, Seemungal BM, Sharp DJ, Bronstein AMet al., 2017,

    Functional neuroimaging of visuo-vestibular interaction

    , BRAIN STRUCTURE & FUNCTION, Vol: 222, Pages: 2329-2343, ISSN: 1863-2653
    Rogers ML, Leong CL, Gowers SAN, Samper IC, Jewell SL, Khan A, McCarthy L, Pahl C, Tolias CM, Walsh DC, Strong AJ, Boutelle MGet al., 2017,

    Simultaneous monitoring of potassium, glucose and lactate during spreading depolarization in the injured human brain - Proof of principle of a novel real-time neurochemical analysis system, continuous online microdialysis

    , JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM, Vol: 37, Pages: 1883-1895, ISSN: 0271-678X
    Schultz SR, Copeland CS, Foust AJ, Quicke P, Schuck Ret al., 2017,

    Advances in Two-Photon Scanning and Scanless Microscopy Technologies for Functional Neural Circuit Imaging

    , PROCEEDINGS OF THE IEEE, Vol: 105, Pages: 139-157, ISSN: 0018-9219
    Sherlock B, Warren SC, Alexandrov Y, Yu F, Stone J, Knight J, Neil MAA, Paterson C, French PMW, Dunsby Cet al., 2017,

    In vivo multiphoton microscopy using a handheld scanner with lateral and axial motion compensation.

    , J Biophotonics

    This paper reports a handheld multiphoton fluorescence microscope designed for clinical imaging that incorporates axial motion compensation and lateral image stabilization. Spectral domain optical coherence tomography is employed to track the axial position of the skin surface, and lateral motion compensation is realised by imaging the speckle pattern arising from the optical coherence tomography beam illuminating the sample. Our system is able to correct lateral sample velocities of up to approximately 65 μm s-1 . Combined with the use of negative curvature microstructured optical fibre to deliver tunable ultrafast radiation to the handheld multiphoton scanner without the need of a dispersion compensation unit, this instrument has potential for a range of clinical applications. The system is used to compensate for both lateral and axial motion of the sample when imaging human skin in vivo.

    Sweeney Y, Clopath C, 2017,

    Emergent spatial synaptic structure from diffusive plasticity

    , EUROPEAN JOURNAL OF NEUROSCIENCE, Vol: 45, Pages: 1057-1067, ISSN: 0953-816X
    Szostak K, Grand L, Constandinou TG, 2017,

    Neural interfaces for intracortical recording: requirements, fabrication methods, and characteristics

    , Frontiers in Neuroscience, Vol: 11, ISSN: 1662-4548

    Implantable neural interfaces for central nervous system research have been designed with wire, polymer or micromachining technologies over the past 70 years. Research on biocompatible materials, ideal probe shapes and insertion methods has resulted in building more and more capable neural interfaces. Although the trend is promising, the long-term reliability of such devices has not yet met the required criteria for chronic human application. The performance of neural interfaces in chronic settings often degrades due to foreign body response to the implant that is initiated by the surgical procedure, and related to the probe structure, and material properties used in fabricating the neural interface. In this review, we identify the key requirements for neural interfaces for intracortical recording, describe the three different types of probes- microwire, micromachined and polymer-based probes; their materials, fabrication methods, and discuss their characteristics and related challenges.

    Szostak K, Mazza F, Maslik M, Feng P, Leene L, Constandinou TGet al., 2017,

    Microwire-CMOS Integration of mm-Scale Neural Probes for Chronic Local Field Potential Recording

    , IEEE Biomedical Circuits and Systems (BioCAS) Conference, Publisher: IEEE, Pages: 492-495
    Troiani F, Nikolic K, Constandinou TG, 2017,

    Optical coherence tomography for compound action potential detection: a computational study

    , SPIE/OSA European Conferences on Biomedical Optics (ECBO), Pages: 1-3

    The feasibility of using time domain optical coherence tomography (TD-OCT)to detect compound action potential in a peripheral nerve and the setup characteristics, are studied through the use of finite-difference time-domain (FDTD) technique.

    Xiloyannis M, Gavriel C, Thomik AAC, Faisal AAet al., 2017,

    Gaussian Process Autoregression for Simultaneous Proportional Multi-Modal Prosthetic Control With Natural Hand Kinematics

    Yao L, Sheng X, Mrachacz-Kersting N, Zhu X, Farina D, Jiang Net al., 2017,

    Decoding covert somatosensory attention by a BCI system calibrated with tactile sensation

    , IEEE Transactions on Biomedical Engineering, ISSN: 0018-9294

    IEEE Objective: We propose a novel calibration strategy to facilitate the decoding of covert somatosensory attention by exploring the oscillatory dynamics induced by tactile sensation. Methods: It was hypothesized that the similarity of the oscillatory pattern between stimulation sensation (SS, real sensation) and somatosensory attentional orientation (SAO) provides a way to decode covert somatic attention. Subjects were instructed to sense the tactile stimulation, which was applied to the left (SS-L) or the right (SS-R) wrist. The BCI system was calibrated with the sensation data and then applied for online SAO decoding. Results: Both SS and SAO showed oscillatory activation concentrated on the contralateral somatosensory hemisphere. Offline analysis showed that the proposed calibration method led to greater accuracy than the traditional calibration method based on SAO only. This is confirmed by online experiments, where the online accuracy on 15 subjects was < formula > < tex > $78.8\pm13.1$ < /tex > < /formula > %, with 12 subjects & #x003E;70% and 4 subject & #x003E;90%. Conclusion: By integrating the stimulus-induced oscillatory dynamics from sensory cortex, covert somatosensory attention can be reliably decoded by a BCI system calibrated with tactile sensation. Significance: Indeed, real tactile sensation is more consistent during calibration than SAO. This brain-computer interfacing approach may find application for stroke and completely locked-in patients with preserved somatic sensation.

    Yao L, Sheng X, Zhang D, Jiang N, Farina D, Zhu Xet al., 2017,

    A BCI System Based on Somatosensory Attentional Orientation.

    , IEEE Trans Neural Syst Rehabil Eng, Vol: 25, Pages: 78-87

    We propose and test a novel brain-computer interface (BCI) based on imagined tactile sensation. During an imagined tactile sensation, referred to as somatosensory attentional orientation (SAO), the subject shifts and maintains somatosensory attention on a body part, e.g., left or right hand. The SAO can be detected from EEG recordings for establishing a communication channel. To test for the hypothesis that SAO on different body parts can be discriminated from EEG, 14 subjects were assigned to a group who received an actual sensory stimulation (STE-Group), and 18 subjects were assigned to the SAO only group (SAO-Group). In single trials, the STE-Group received tactile stimulation first (both wrists simultaneously stimulated), and then maintained the attention on the selected body part (without stimulation). The same group also performed the SAO task first and then received the tactile stimulation. Conversely, the SAO-Group performed SAO without any stimulation, neither before nor after the SAO. In both the STE-Group and SAO-Group, it was possible to identify the SAO-related oscillatory activation that corresponded to a contralateral event-related desynchronization (ERD) stronger than the ipsilateral ERD. Discriminative information, represented as R2 , was found mainly on the somatosensory area of the cortex. In the STE-Group, the average classification accuracy of SAO was 83.6%, and it was comparable with tactile BCI based on selective sensation (paired-t test, P > 0.05 ). In the SAO-Group the average online performance was 75.7%. For this group, after frequency band selection the offline performance reached 82.5% on average, with ≥ 80% for 12 subjects and ≥ 95% for four subjects. Complementary to tactile sensation, the SAO does not require sensory stimulation, with the advantage of being completely independent from the stimulus.

    Angeles P, Mace M, Admiraal M, Burdet E, Pavese N, Vaidyanathan Ret al., 2016,

    A Wearable Automated System to Quantify Parkinsonian Symptoms Enabling Closed Loop Deep Brain Stimulation

    , 17th Annual Conference on Towards Autonomous Robotic Systems (TAROS), Publisher: SPRINGER INT PUBLISHING AG, Pages: 8-19, ISSN: 0302-9743
    Antic SD, Empson RM, Knoepfel T, 2016,

    Voltage imaging to understand connections and functions of neuronal circuits

    , JOURNAL OF NEUROPHYSIOLOGY, Vol: 116, Pages: 135-152, ISSN: 0022-3077
    Arulkumaran K, Dilokthanakul N, Shanahan M, Bharath AAet al., 2016,

    Classifying Options for Deep Reinforcement Learning.

    Aszmann OC, Vujaklija I, Roche AD, Salminger S, Herceg M, Sturma A, Hruby LA, Pittermann A, Hofer C, Amsuess S, Farina Det al., 2016,

    Elective amputation and bionic substitution restore functional hand use after critical soft tissue injuries

    , SCIENTIFIC REPORTS, Vol: 6, ISSN: 2045-2322
    Badura A, Clopath C, Schonewille M, De Zeeuw CIet al., 2016,

    Modeled changes of cerebellar activity in mutant mice are predictive of their learning impairments

    , SCIENTIFIC REPORTS, Vol: 6, ISSN: 2045-2322
    Barsakcioglu DY, Constandinou TG, 2016,

    A 32-Channel MCU-based Feature Extraction and Classification for Scalable On-node Spike Sorting

    , IEEE International Symposium on Circuits and Systems (ISCAS), Publisher: IEEE, Pages: 1310-1313, ISSN: 0271-4302
    Berditchevskaia A, Caze RD, Schultz SR, 2016,

    Performance in a GO/NOGO perceptual task reflects a balance between impulsive and instrumental components of behaviour

    , SCIENTIFIC REPORTS, Vol: 6, ISSN: 2045-2322
    Bevan R, Griffiths L, Watkins L, Evans R, McInerney B, Rees M, Calabrese M, Magliozzi R, Reynolds R, Allen I, Fitzgerald D, Howell Oet al., 2016,

    Significant meningeal inflammation and cortical neurodegeneration in a post-mortem cohort of short disease duration multiple sclerosis

    , 32nd Congress of the European-Committee-for-Treatment-and-Research-in-Multiple-Sclerosis (ECTRIMS), Publisher: SAGE PUBLICATIONS LTD, Pages: 468-468, ISSN: 1352-4585
    Braga RM, Fu RZ, Seemungal BM, Wise RJS, Leech Ret al., 2016,

    Eye Movements during Auditory Attention Predict Individual Differences in Dorsal Attention Network Activity

    Chen S, Augustine GJ, Chadderton P, 2016,

    The cerebellum linearly encodes whisker position during voluntary movement

    , ELIFE, Vol: 5, ISSN: 2050-084X
    Cheung K, Schultz SR, Luk W, 2016,

    NeuroFlow: A General Purpose Spiking Neural Network Simulation Platform using Customizable Processors

    De Guio F, Jouvent E, Biessels GJ, Black SE, Brayne C, Chen C, Cordonnier C, De Leeuw F-E, Dichgans M, Doubal F, Duering M, Dufouil C, Duzel E, Fazekas F, Hachinski V, Ikram MA, Linn J, Matthews PM, Mazoyer B, Mok V, Norrving B, O'Brien JT, Pantoni L, Ropele S, Sachdev P, Schmidt R, Seshadri S, Smith EE, Sposato LA, Stephan B, Swartz RH, Tzourio C, van Buchem M, van der Lugt A, van Oostenbrugge R, Vernooij MW, Viswanathan A, Werring D, Wollenweber F, Wardlaw JM, Chabriat Het 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
    De Marcellis A, Palange E, Faccio M, Nubile L, Stanchieri GDP, Petrucci S, Constandinou Tet al., 2016,

    A New Optical UWB Modulation Technique for 250Mbps Wireless Link in Implantable Biotelemetry Systems

    , 30th Eurosensors Conference, Publisher: ELSEVIER SCIENCE BV, Pages: 1676-1680, ISSN: 1877-7058
    De Marcellis A, Palange E, Nubile L, Faccio M, Stanchieri GDP, Constandinou TGet al., 2016,

    A Pulsed Coding Technique Based on Optical UWB Modulation for High Data Rate Low Power Wireless Implantable Biotelemetry

    , ELECTRONICS, Vol: 5, ISSN: 2079-9292
    Elia M, Leene LB, Constandinou TG, 2016,

    Continuous-Time Micropower Interface for Neural Recording Applications

    , IEEE International Symposium on Circuits and Systems (ISCAS), Publisher: IEEE, Pages: 534-537, ISSN: 0271-4302

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