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https://www.readbyqxmd.com/read/28231474/early-disturbances-in-multimodal-evoked-potentials-as-a-prognostic-factor-for-long-term-disability-in-relapsing-remitting-multiple-sclerosis-patients
#1
Frédéric London, Souraya El Sankari, Vincent van Pesch
OBJECTIVE: The aim of this study was to investigate whether early alterations in evoked potentials (EPs) have a prognostic value in relapsing-remitting multiple sclerosis (RRMS). METHODS: We retrospectively selected 108 early MS patients with a neurological follow-up ranging from 5 to 15years, in whom multimodal EPs (visual, brainstem auditory, somatosensory and motor) were performed at diagnosis. A conventional ordinal score was used to quantify the observed abnormalities...
January 28, 2017: Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology
https://www.readbyqxmd.com/read/28229428/low-is-large-spatial-location-and-pitch-interact-in-voice-based-body-size-estimation
#2
Katarzyna Pisanski, Sari G E Isenstein, Kelyn J Montano, Jillian J M O'Connor, David R Feinberg
The binding of incongruent cues poses a challenge for multimodal perception. Indeed, although taller objects emit sounds from higher elevations, low-pitched sounds are perceptually mapped both to large size and to low elevation. In the present study, we examined how these incongruent vertical spatial cues (up is more) and pitch cues (low is large) to size interact, and whether similar biases influence size perception along the horizontal axis. In Experiment 1, we measured listeners' voice-based judgments of human body size using pitch-manipulated voices projected from a high versus a low, and a right versus a left, spatial location...
February 22, 2017: Attention, Perception & Psychophysics
https://www.readbyqxmd.com/read/28228436/triamcinolone-emboli-leading-to-central-retinal-artery-occlusion-a-multimodal-imaging-study
#3
Nripen Gaur, Pallavi Singh, Rohan Chawla, Brijesh Takkar
A 19-year-old man presented with unilateral sudden onset vision loss following an intra-articular triamcinolone injection in the right temporomandibular joint. At fundus examination emboli of triamcinolone were visible in multiple retinal arteries. Choroidal ischaemia and occlusion of the central retinal artery and its branches were documented at fluorescein angiography. Optical coherence tomography revealed significant thickening of the inner retinal layers. Optical coherence tomography angiography clearly demonstrated an abrupt cut-off of flow in a vessel below the optic disc...
February 22, 2017: BMJ Case Reports
https://www.readbyqxmd.com/read/28227999/polysilicon-based-flexible-temperature-sensor-for-high-spatial-resolution-brain-temperature-monitoring
#4
Zhizhen Wu, Chunyan Li, Jed Hartings, Raj K Narayan, Chong Ahn, Zhizhen Wu, Chunyan Li, Jed Hartings, Raj K Narayan, Chong Ahn, Zhizhen Wu, Chunyan Li, Chong Ahn, Jed Hartings, Raj K Narayan
In this paper, we present a flexible temperature sensor with ultra-small polysilicon thermistors for brain temperature monitoring. In vitro sensitivity, resolution, thermal hysteresis and long term stability tests were performed. Temperature coefficient of resistance (TCR) of -0.0031/ °C and resolution of 0.1 °C were obtained for the sensor. Thermal hysteresis for temperature range of 30~45 °C was less than 0.1 °C. With silicon nitride as the passivation layer, the temperature sensor showed a drift within 0...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227974/heart-rate-variability-as-a-biomarker-for-sedation-depth-estimation-in-icu-patients
#5
Sunil B Nagaraj, Sowmya M Ramaswamy, Siddharth Biswal, Emily J Boyle, David W Zhou, Lauren M Mcclain, Eric S Rosenthal, Patrick L Purdon, M Brandon Westover, Sunil B Nagaraj, Sowmya M Ramaswamy, Siddharth Biswal, Emily J Boyle, David W Zhou, Lauren M Mcclain, Eric S Rosenthal, Patrick L Purdon, M Brandon Westover, M Brandon Westover, Sunil B Nagaraj, Siddharth Biswal, Sowmya M Ramaswamy, Lauren M Mcclain, David W Zhou, Emily J Boyle, Patrick L Purdon, Eric S Rosenthal
An automated patient-specific system to classify the level of sedation in ICU patients using heart rate variability signal is presented in this paper. ECG from 70 mechanically ventilated adult patients with administered sedatives in an ICU setting were used to develop a support vector machine based system for sedation depth monitoring using several heart rate variability measures. A leave-one-subject-out cross validation was used for classifier training and performance evaluations. The proposed patient-specific system provided a sensitivity, specificity and an AUC of 64%, 84...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227899/peripheral-sensory-stimulation-is-neuroprotective-in-a-rat-photothrombotic-ischemic-stroke-model
#6
Aishwarya Bandla, Chua Le Teng Sherry, Frances Lim, Chan Kim Chuan, Lun-De Liao, Nitish V Thakor, Aishwarya Bandla, Chua Le Teng Sherry, Frances Lim, Chan Kim Chuan, Lun-De Liao, Nitish V Thakor, Lun-De Liao, Nitish V Thakor, Frances Lim, Chua Le Teng Sherry, Aishwarya Bandla, Chan Kim Chuan
Ischemic stroke is one of the leading causes of death and disability in the world. Thrombolytic therapy using recombinant tissue plasminogen activator (rtPA), the only FDA-approved drug for acute ischemia, is limited by a narrow therapeutic time window and risk of hemorrhage. There is a serious need for a neuroprotective therapy which is clinically viable. We earlier demonstrated that peripheral sensory stimulation (PSS) is a potential therapeutic intervention for hyperacute ischemia resulting in recovery of neurovascular functions when administered immediately following ischemia onset in a rat model...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227864/automatic-segmentation-of-multimodal-brain-tumor-images-based-on-classification-of-super-voxels
#7
M Kadkhodaei, S Samavi, N Karimi, H Mohaghegh, S M R Soroushmehr, K Ward, A All, K Najarian, M Kadkhodaei, S Samavi, N Karimi, H Mohaghegh, S M R Soroushmehr, K Ward, A All, K Najarian, K Ward, S M R Soroushmehr, A All, S Samavi, M Kadkhodaei, H Mohaghegh, K Najarian, N Karimi
Despite the rapid growth in brain tumor segmentation approaches, there are still many challenges in this field. Automatic segmentation of brain images has a critical role in decreasing the burden of manual labeling and increasing robustness of brain tumor diagnosis. We consider segmentation of glioma tumors, which have a wide variation in size, shape and appearance properties. In this paper images are enhanced and normalized to same scale in a preprocessing step. The enhanced images are then segmented based on their intensities using 3D super-voxels...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227545/corticomuscular-coherence-variation-throughout-the-gait-cycle-during-overground-walking-and-ramp-ascent-a-preliminary-investigation
#8
Anna T Winslow, Justin Brantley, Fangshi Zhu, Jose L Contreras Vidal, He Huang, Anna T Winslow, Justin Brantley, Fangshi Zhu, Jose L Contreras Vidal, He Huang, Fangshi Zhu, Justin Brantley, Jose L Contreras Vidal, He Huang, Anna T Winslow
Recent designs of neural-machine interfaces (NMIs) incorporating electroencephalography (EEG) or electromyography (EMG) have been used in lower limb assistive devices. While the results of previous studies have shown promise, a NMI which takes advantage of early movement-related EEG activity preceding movement onset, as well as the improved signal-to-noise ratio of EMG, could prove to be more accurate and responsive than current NMI designs based solely on EEG or EMG. Previous studies have demonstrated that the activity of the sensorimotor cortex is coupled to the firing rate of motor units in lower limb muscles during voluntary contraction...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227509/development-of-a-brain-monitoring-system-for-multimodality-investigation-in-awake-rats
#9
Kanokwan Limnuson, Raj K Narayan, Amrit Chiluwal, Chad Bouton, Ping Wang, Chunyan Li, Kanokwan Limnuson, Raj K Narayan, Amrit Chiluwal, Chad Bouton, Ping Wang, Chunyan Li, Chunyan Li, Ping Wang, Kanokwan Limnuson, Amrit Chiluwal, Raj K Narayan, Chad Bouton
Multimodal brain monitoring is an important approach to gain insight into brain function, modulation, and pathology. We have developed a unique micromachined neural probe capable of real-time continuous monitoring of multiple physiological, biochemical and electrophysiological variables. However, to date, it has only been used in anesthetized animals due to a lack of an appropriate interface for awake animals. We have developed a versatile headstage for recording the small neural signal and bridging the sensors to the remote sensing units for multimodal brain monitoring in awake rats...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227396/supervised-multimodal-fusion-and-its-application-in-searching-joint-neuromarkers-of-working-memory-deficits-in-schizophrenia
#10
Shile Qi, Vince D Calhoun, Theo G M van Erp, Eswar Damaraju, Juan Bustillo, Yuhui Du, Jessica A Turner, Daniel H Mathalon, Judith M Ford, James Voyvodic, Bryon A Mueller, Aysenil Belger, Sarah Mc Ewen, Steven G Potkin, Adrian Preda, F Birn, Tianzi Jiang, Jing Sui, Shile Qi, Vince D Calhoun, Theo G M van Erp, Eswar Damaraju, Juan Bustillo, Yuhui Du, Jessica A Turner, Daniel H Mathalon, Judith M Ford, James Voyvodic, Bryon A Mueller, Aysenil Belger, Sarah McEwen, Steven G Potkin, Adrian Preda, F Birn, Tianzi Jiang, Jing Sui
Multimodal fusion is an effective approach to better understand brain disease. To date, most current fusion approaches are unsupervised; there is need for a multivariate method that can adopt prior information to guide multimodal fusion. Here we proposed a novel supervised fusion model, called "MCCAR+jICA", which enables both identification of multimodal co-alterations and linking the covarying brain regions with a specific reference signal, e.g., cognitive scores. The proposed method has been validated on both simulated and real human brain data...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227372/multimodal-embryonic-imaging-using-optical-coherence-tomography-selective-plane-illumination-microscopy-and-optical-projection-tomography
#11
M Singh, C Wu, D Mayerich, M E Dickinson, I V Larina, K V Larin, M Singh, C Wu, D Mayerich, M E Dickinson, I V Larina, K V Larin, I V Larina, M Singh, K V Larin, D Mayerich, M E Dickinson, C Wu
The murine model is commonly utilized for studying developmental diseases. Different optical techniques have been developed to image mouse embryos, but each has its own set of limitations and restrictions. In this study, we compare the performance of the well-established technique of optical coherence tomography (OCT) to the relatively new methods of selective plane illumination microscopy (SPIM) and optical projection tomography (OPT) to assess murine embryonic development. OCT can provide label free high resolution images of the mouse embryo, but suffers from light attenuation that limits visualization of deeper structures...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227336/assessment-of-mental-workload-by-eeg-fnirs
#12
Haleh Aghajani, Ahmet Omurtag, Haleh Aghajani, Ahmet Omurtag, Ahmet Omurtag, Haleh Aghajani
We investigated the use of a multimodal functional neuroimaging system in quantifying mental workload of healthy human volunteers. We recorded behavioral performance measures as well as electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) simultaneously from subjects performing n-back tasks. The EEG and fNIRS signals were used in feature generation and classification offline using support vector machines. We examined the classification accuracy of three distinct systems: EEG based; fNIRS based; and Hybrid, which contained features from the first two systems as based on their interactions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227015/a-comparison-of-multimodal-biomarkers-for-chronic-hepatitis-b-assessment-using-recursive-feature-elimination
#13
Yanru Bai, Xin Chen, Changfeng Dong, Yingxia Liu, Zhiguo Zhang, Yanru Bai, Xin Chen, Changfeng Dong, Yingxia Liu, Zhiguo Zhang, Xin Chen, Changfeng Dong, Zhiguo Zhang, Yanru Bai, Yingxia Liu
An effective assessment of liver fibrosis in patients with chronic hepatitis B (CHB) is highly desired because it is important not only for clinical courses prediction, but also for the determination of antiviral therapy schemes. In recent years, various approaches for liver biopsies analysis have been highlighted, such as elastography techniques and serum markers, due to their properties of non-invasiveness. The aim of this study is to determine the best biomarkers or their combination by comparing multimodal biomarkers (ultrasound elastography parameters, biochemical hematologic parameters, and clinical parameters) for fibrosis assessment in chronic hepatitis B using a support vector machine combined with recursive feature elimination (RFE-SVM) approach...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226771/multimodal-characterization-of-radiologically-detectable-lung-lesions
#14
Atasi Sarkar, A Sadhu, S Basu Thakur, S Sengupta, A Mukherjee, Jyotirmoy Chatterjee, Atasi Sarkar, A Sadhu, S Basu Thakur, S Sengupta, A Mukherjee, Jyotirmoy Chatterjee, S Basu Thakur, A Mukherjee, Atasi Sarkar, S Sengupta, A Sadhu, Jyotirmoy Chatterjee
Diagnosing radiologically detectable lung lesions on the basis of cyto/histopathological staining often suffers from ambiguity, leading to faulty detection of lung diseases, especially cancer. Present study attempted to perform a multimodal characterzation of clinical samples from patients with radiologically detected lung lesions, in order to classify diseases with higher precision. The study included analysing nuclear morphometric and intensity based differences between benign and malignant lung lesions in a quantitative way...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226708/curvelet-based-residual-complexity-objective-function-for-non-rigid-registration-of-pre-operative-mri-with-intra-operative-ultrasound-images
#15
P Farnia, B Makkiabadi, A Ahmadian, J Alirezaie, P Farnia, B Makkiabadi, A Ahmadian, J Alirezaie, B Makkiabadi, A Ahmadian, P Farnia, J Alirezaie
Intra-operative ultrasound as an imaging based method has been recognized as an effective solution to compensate non rigid brain shift problem in recent years. Measuring brain shift requires registration of the pre-operative MRI images with the intra-operative ultrasound images which is a challenging task. In this study a novel hybrid method based on the matching echogenic structures such as sulci and tumor boundary in MRI with ultrasound images is proposed. The matching echogenic structures are achieved by optimizing the Residual Complexity (RC) in the curvelet domain...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226707/slice-correspondence-estimation-using-surf-descriptors-and-context-based-search-for-prostate-whole-mount-histology-mri-registration
#16
Lina Guzman, Frederic Commandeur, Oscar Acosta, Antoine Simon, Alain Fautrel, Nathalie Rioux-Leclercq, Eduardo Romero, Romain Mathieu, Renaud de Crevoisier, Lina Guzman, Frederic Commandeur, Oscar Acosta, Antoine Simon, Alain Fautrel, Nathalie Rioux-Leclercq, Eduardo Romero, Romain Mathieu, Renaud de Crevoisier, Frederic Commandeur, Romain Mathieu, Antoine Simon, Alain Fautrel, Eduardo Romero, Renaud De Crevoisier, Oscar Acosta, Nathalie Rioux-Leclercq, Lina Guzman
Registration of histopathology volumes to Magnetic Resonance Images(MRI) is a crucial step for finding correlations in Prostate Cancer (PCa) and assessing tumor agressivity. This paper proposes a two-stage framework aimed at registering both modalities. Firstly, Speeded-Up Robust Features (SURF) algorithm and a context-based search is used to automatically determine slice correspondences between MRI and histology volumes. This step initializes a multimodal nonrigid registration strategy, which allows to propagate histology slices to MRI...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226704/sorted-self-similarity-for-multi-modal-image-registration
#17
Keyvan Kasiri, Paul Fieguth, David A Clausi, Keyvan Kasiri, Paul Fieguth, David A Clausi, Keyvan Kasiri, David A Clausi, Paul Fieguth
In medical image analysis, registration of multimodal images has been challenging due to the complex intensity relationship between images. Classical multi-modal registration approaches evaluate the degree of the alignment by measuring the statistical dependency of the intensity values between images to be aligned. Employing statistical similarity measures, such as mutual information, is not promising in those cases with complex and spatially dependent intensity relations. A new similarity measure is proposed based on the assessing the similarity of pixels within an image, based on the idea that similar structures in an image are more probable to undergo similar intensity transformations...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226699/estimating-multimodal-brain-connectivity-in-multiple-sclerosis-an-exploratory-factor-analysis
#18
Matteo Mancini, Giovanni Giulietti, Barbara Spano, Marco Bozzali, Mara Cercignani, Silvia Conforto, Matteo Mancini, Giovanni Giulietti, Barbara Spano, Marco Bozzali, Mara Cercignani, Silvia Conforto, Giovanni Giulietti, Mara Cercignani, Silvia Conforto, Matteo Mancini, Barbara Spano, Marco Bozzali
Graph-theoretical approaches have become a popular way to model brain data collected using magnetic resonance imaging (MRI), both from the structural and the functional perspectives. In structural networks, tract-based mapping allows to model different aspects of brain structures by means of the specific characteristics of the different MRI modalities. However, there has been little effort to join the information carried by each modality and to understand what level of common variance is shown in these data...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226630/gaussian-process-dynamical-models-for-multimodal-affect-recognition
#19
Hernan F Garcia, Mauricio A Alvarez, Alvaro A Orozco, Hernan F Garcia, Mauricio A Alvarez, Alvaro A Orozco, Mauricio A Alvarez, Alvaro A Orozco, Hernan F Garcia
Affective computing systems has a great potential in applications for biofeedback systems and cognitive conductual therapies. Here, by analyzing the physiological behavior of a given subject, we can infer the affective state of an emotional process. Since, emotions can be modeled as dynamic manifestations of these signals, a continuous analysis in the valence/arousal space, brings more information of the affective state related to an emotional process. In this paper we propose a method for dynamic affect recognition from multimodal physiological signals...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226500/sensing-textile-seam-line-for-wearable-multimodal-physiological-monitoring
#20
M McKnight, T Agcayazi, H Kausche, T Ghosh, A Bozkurt, M McKnight, T Agcayazi, H Kausche, T Ghosh, A Bozkurt, T Ghosh, T Agcayazi, M McKnight, A Bozkurt, H Kausche
This paper investigates a novel multimodal sensing method by forming seam-lines of conductive textile fibers into commercially available fabrics. The proposed ultra-low cost micro-electro-mechanical sensor would provide, wearable, flexible, textile based biopotential signal recording, wetness detection and tactile sensing simultaneously. Three types of fibers are evaluated for their array-based sensing capability, including a 3D printed conductive fiber, a multiwall carbon nanotube based fiber, and a commercially available stainless steel conductive thread...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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