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https://www.readbyqxmd.com/read/28821320/reduced-neural-responses-to-food-cues-might-contribute-to-the-anorexigenic-effect-of-acute-exercise-observed-in-obese-but-not-lean-adolescents
#1
S N Fearnbach, L Silvert, B Pereira, Y Boirie, M Duclos, K L Keller, D Thivel
Acute exercise has been found to reduce subsequent energy intake in obese adolescents. Although it has been suggested that some neural pathways are involved in this post-exercise energy intake regulation, it remains unknown whether the post-exercise attentional response to food cues differs as a function of weight status. We hypothesize that there will be a reduction in the neural response to food cues as a result of exercise in obese adolescents, but not in their lean counterparts. Fourteen obese and 14 lean adolescent boys (12-15 years) were randomized (within-subjects design) to remain seated (CON) or to exercise 45 minutes at 65% of their maximal capacities (EX)...
August 2017: Nutrition Research
https://www.readbyqxmd.com/read/28820729/head-phantoms-for-electroencephalography-and-transcranial-electric-stimulation-a-skull-material-study
#2
Alexander Hunold, Daniel Strohmeier, Patrique Fiedler, Jens Haueisen
Physical head phantoms allow the assessment of source reconstruction procedures in electroencephalography and electrical stimulation profiles during transcranial electric stimulation. Volume conduction in the head is strongly influenced by the skull, which represents the main conductivity barrier. Realistic modeling of its characteristics is thus important for phantom development. In the present study, we proposed plastic clay as a material for modeling the skull in phantoms. We analyzed five clay types varying in granularity and fractions of fire clay, each with firing temperatures from 550°C to 950°C...
August 18, 2017: Biomedizinische Technik. Biomedical Engineering
https://www.readbyqxmd.com/read/28819796/simultaneous-eeg-pet-fmri-measurements-in-disorders-of-consciousness-an-exploratory-study-on-diagnosis-and-prognosis
#3
Daniel Golkowski, Katharina Merz, Caroline Mlynarcik, Tobias Kiel, Barbara Schorr, Alex Lopez-Rolon, Mathias Lukas, Denis Jordan, Andreas Bender, Rüdiger Ilg
Previous studies could demonstrate that functional magnetic resonance imaging (fMRI), fludeoxyglucose positron emission tomography (FDG-PET), and electroencephalography (EEG) measures contain information about patients suffering from disorders of consciousness (DOC) and thus improve the clinical diagnosis. Additionally, the technical modalities were able to predict the outcome of patients. However, most studies lack proven reproducibility in a clinical setting. We here applied a standardized combined EEG/fMRI/FDG-PET measurement to a cohort of 20 patients suffering from DOC and focused on parameters that have been demonstrated to contain information about diagnosis and prognosis of these patients...
August 17, 2017: Journal of Neurology
https://www.readbyqxmd.com/read/28815135/active-deep-learning-based-annotation-of-electroencephalography-reports-for-cohort-identification
#4
Ramon Maldonado, Travis R Goodwin, Sanda M Harabagiu
The annotation of a large corpus of Electroencephalography (EEG) reports is a crucial step in the development of an EEG-specific patient cohort retrieval system. The annotation of multiple types of EEG-specific medical concepts, along with their polarity and modality, is challenging, especially when automatically performed on Big Data. To address this challenge, we present a novel framework which combines the advantages of active and deep learning while producing annotations that capture a variety of attributes of medical concepts...
2017: AMIA Summits on Translational Science Proceedings
https://www.readbyqxmd.com/read/28813966/exergaming-with-a-pediatric-exoskeleton-facilitating-rehabilitation-and-research-in-children-with-cerebral-palsy
#5
Thomas C Bulea, Zachary F Lerner, Andrew J Gravunder, Diane L Damiano
Effective rehabilitation of children with cerebral palsy (CP) requires intensive task-specific exercise but many in this population lack the motor capabilities to complete the desired training tasks. Providing robotic assistance is a potential solution yet the effects of this assistance are unclear. We combined a novel exoskeleton and exercise video game (exergame) to create a new rehabilitation paradigm for children with CP. We incorporated high density electroencephalography (EEG) to assess cortical activity...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813353/motor-cognition-and-neuroscience-in-sport-psychology
#6
REVIEW
Paul S Holmes, David J Wright
Advances in technology have allowed research in cognitive neuroscience to contribute significantly to the discipline of sport psychology. In most cases, the research has become more rigorous and has directed current thinking on the mechanisms subserving a number of psychological theories and models of practice. Currently, the three most common neuroscience techniques informing sport and exercise research are electroencephalography, transcranial magnetic stimulation and functional magnetic resonance imaging...
August 2017: Current Opinion in Psychology
https://www.readbyqxmd.com/read/28813231/time-frequency-cross-mutual-information-analysis-of-the-brain-functional-networks-underlying-multiclass-motor-imagery
#7
Anmin Gong, Jianping Liu, Si Chen, Yunfa Fu
To study the physiologic mechanism of the brain during different motor imagery (MI) tasks, the authors employed a method of brain-network modeling based on time-frequency cross mutual information obtained from 4-class (left hand, right hand, feet, and tongue) MI tasks recorded as brain-computer interface (BCI) electroencephalography data. The authors explored the brain network revealed by these MI tasks using statistical analysis and the analysis of topologic characteristics, and observed significant differences in the reaction level, reaction time, and activated target during 4-class MI tasks...
August 16, 2017: Journal of Motor Behavior
https://www.readbyqxmd.com/read/28813229/cortical-networks-for-correcting-errors-in-sensorimotor-synchronization-depend-on-the-direction-of-asynchrony
#8
K J Jantzen, Benjamin R Ratcliff, McNeel G Jantzen
Recent work provides clues that different cortical mechanisms may be employed when correcting for errors in sensorimotor synchronization that increase tap-tone asynchrony compared with those that decrease it. The authors tested this hypothesis by recording 64-channel electroencephalography while participants synchronized with an auditory metronome. We systematically introduced positive and negative phase-shift perturbations that were either liminal (10%) and subliminal (3%). We used a distributed source modeling approach to evaluate oscillatory activity and connectivity of discrete cortical sources...
August 16, 2017: Journal of Motor Behavior
https://www.readbyqxmd.com/read/28811941/seizure-associated-takotsubo-syndrome-a-rare-combination
#9
Htay Htay Kyi, Nour Aljariri Alhesan, Sunil Upadhaya, Samer Al Hadidi
Takotsubo cardiomyopathy (TC) is increasingly recognized in neurocritical care population especially in postmenopausal females. We are presenting a 61-year-old African American female with past medical history of epilepsy, bipolar disorder, and hypertension who presented with multiple episodes of seizures due to noncompliance with antiepileptic medications. She was on telemetry which showed ST alarm. Electrocardiogram (ECG) was ordered and showed ST elevation in anterolateral leads and troponins were positive...
2017: Case Reports in Cardiology
https://www.readbyqxmd.com/read/28809709/a-new-method-for-automatic-sleep-stage-classification
#10
Junming Zhang, Yan Wu
Traditionally, automatic sleep stage classification is quite a challenging task because of the difficulty in translating open-textured standards to mathematical models and the limitations of handcrafted features. In this paper, a new system for automatic sleep stage classification is presented. Compared with existing sleep stage methods, our method can capture the sleep information hidden inside electroencephalography (EEG) signals and automatically extract features from raw data. To translate open sleep stage standards into machine rules recognized by computers, a new model named fast discriminative complex-valued convolutional neural network (FDCCNN) is proposed to extract features from raw EEG data and classify sleep stages...
August 14, 2017: IEEE Transactions on Biomedical Circuits and Systems
https://www.readbyqxmd.com/read/28809649/linking-neuroscience-function-and-intervention-a-scoping-review-of-sensory-processing-and-mental-illness
#11
Antoine L Bailliard, Stephanie C Whigham
PURPOSE: Sensory approaches to mental illness are increasingly prominent in occupational therapy. Despite indicators of efficacy, a paucity of literature supports these approaches. This article provides a scoping review of research on the relationship between sensory processing and mental illness. METHOD: Using Arksey and O'Malley's (2005) framework, we mapped this area of research and identified gaps in the knowledge base. We searched PubMed, CINAHL Plus, PsycINFO, OTseeker, and the Cochrane Library using the terms sensory and mental health...
September 2017: American Journal of Occupational Therapy: Official Publication of the American Occupational Therapy Association
https://www.readbyqxmd.com/read/28807062/neuropsychiatric-characteristics-of-antiterrorist-operation-combatants-in-the-donbass-ukraine
#12
Konstantin N Loganovsky, Natalia A Zdanevich, Marina V Gresko, Donatella Marazziti, Tatiana K Loganovskaja
OBJECTIVE: The present paper aimed to explore the neuropsychiatric characteristics of the antiterrorism (ATO) combatants in the Donets Basin (Donbass) and to propose therapeutic strategies for managing their mental healthcare. METHODS: A total of 54 ATO combatants were included in our study and compared with four groups of subjects exposed to other emergencies, including the Chernobyl disaster and the war in Afghanistan. The neuropsychiatric features were assessed through psychopathological assessments, neurological examinations, and quantitative electroencephalography (qEEG)...
August 15, 2017: CNS Spectrums
https://www.readbyqxmd.com/read/28805731/the-role-of-visual-noise-in-influencing-mental-load-and-fatigue-in-a-steady-state-motion-visual-evoked-potential-based-brain-computer-interface
#13
Jun Xie, Guanghua Xu, Ailing Luo, Min Li, Sicong Zhang, Chengcheng Han, Wenqiang Yan
As a spatial selective attention-based brain-computer interface (BCI) paradigm, steady-state visual evoked potential (SSVEP) BCI has the advantages of high information transfer rate, high tolerance to artifacts, and robust performance across users. However, its benefits come at the cost of mental load and fatigue occurring in the concentration on the visual stimuli. Noise, as a ubiquitous random perturbation with the power of randomness, may be exploited by the human visual system to enhance higher-level brain functions...
August 14, 2017: Sensors
https://www.readbyqxmd.com/read/28804712/virtual-and-actual-humanoid-robot-control-with-four-class-motor-imagery-based-optical-brain-computer-interface
#14
Alyssa M Batula, Youngmoo E Kim, Hasan Ayaz
Motor-imagery tasks are a popular input method for controlling brain-computer interfaces (BCIs), partially due to their similarities to naturally produced motor signals. The use of functional near-infrared spectroscopy (fNIRS) in BCIs is still emerging and has shown potential as a supplement or replacement for electroencephalography. However, studies often use only two or three motor-imagery tasks, limiting the number of available commands. In this work, we present the results of the first four-class motor-imagery-based online fNIRS-BCI for robot control...
2017: BioMed Research International
https://www.readbyqxmd.com/read/28804453/delta-power-is-higher-and-more-symmetrical-in-ischemic-stroke-patients-with-cortical-involvement
#15
Chiara Fanciullacci, Federica Bertolucci, Giuseppe Lamola, Alessandro Panarese, Fiorenzo Artoni, Silvestro Micera, Bruno Rossi, Carmelo Chisari
A brain injury resulting from unilateral stroke critically alters brain functionality and the complex balance within the cortical activity. Such modifications may critically depend on lesion location and cortical involvement. Indeed, recent findings pointed out the necessity of applying a stratification based on lesion location when investigating inter-hemispheric balance in stroke. Here, we tested whether cortical involvement could imply differences in band-specific activity and brain symmetry in post stroke patients with cortico-subcortical and subcortical strokes...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28802332/new-algorithms-for-processing-time-series-big-eeg-data-within-mobile-health-monitoring-systems
#16
Mohamed Adel Serhani, Mohamed El Menshawy, Abdelghani Benharref, Saad Harous, Alramzana Nujum Navaz
BACKGROUND AND OBJECTIVES: Recent advances in miniature biomedical sensors, mobile smartphones, wireless communications, and distributed computing technologies provide promising techniques for developing mobile health systems. Such systems are capable of monitoring epileptic seizures reliably, which are classified as chronic diseases. Three challenging issues raised in this context with regard to the transformation, compression, storage, and visualization of big data, which results from a continuous recording of epileptic seizures using mobile devices...
October 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28800715/an-eeg-study-of-children-with-and-without-adhd-symptoms-between-group-differences-and-associations-with-sluggish-cognitive-tempo-symptoms
#17
Matthew A Jarrett, Philip A Gable, Ana T Rondon, Lauren B Neal, Hannah F Price, Dane C Hilton
OBJECTIVE: We examined differences between those with and without ADHD symptoms on resting state electroencephalography (EEG) indices and unique relations with sluggish cognitive tempo (SCT) symptoms. METHOD: Children with ADHD symptoms ( n = 21) and healthy controls ( n = 20) were assessed using rating scales, a neuropsychological task measuring sustained attention and inhibitory control, and EEG activity during a resting state period. Between-group, correlational, and regression analyses were conducted...
August 1, 2017: Journal of Attention Disorders
https://www.readbyqxmd.com/read/28800613/ongoing-slow-oscillatory-phase-modulates-speech-intelligibility-in-cooperation-with-motor-cortical-activity
#18
Takayuki Onojima, Keiichi Kitajo, Hiroaki Mizuhara
Neural oscillation is attracting attention as an underlying mechanism for speech recognition. Speech intelligibility is enhanced by the synchronization of speech rhythms and slow neural oscillation, which is typically observed as human scalp electroencephalography (EEG). In addition to the effect of neural oscillation, it has been proposed that speech recognition is enhanced by the identification of a speaker's motor signals, which are used for speech production. To verify the relationship between the effect of neural oscillation and motor cortical activity, we measured scalp EEG, and simultaneous EEG and functional magnetic resonance imaging (fMRI) during a speech recognition task in which participants were required to recognize spoken words embedded in noise sound...
2017: PloS One
https://www.readbyqxmd.com/read/28800575/disruption-of-frontal-parietal-connectivity-during-conscious-sedation-by-propofol-administration
#19
Pil-Jong Kim, Hong-Gee Kim, Gyu-Jeong Noh, Yong-Seo Koo, Teo Jeon Shin
The sedative state is a transitional state from wakefulness to general anesthesia. However, little is understood regarding the mechanism of conscious sedation, different from general anesthesia while maintaining wakefulness. In this study, we aimed to investigate changes in functional connectivity of the parietal-frontal network, implicated in wakefulness during conscious sedation induced by propofol infusion. The electroencephalography was obtained at the frontal and parietal areas of adult volunteers who maintain wakefulness during low-dose propofol infusion (1...
August 10, 2017: Neuroreport
https://www.readbyqxmd.com/read/28799142/what-to-do-in-failed-hemispherotomy-our-clinical-series-and-review-of-the-literature
#20
REVIEW
Andrea Bartoli, Y El Hassani, B Jenny, S Momjian, C M Korff, M Seeck, S Vulliemoz, K Schaller
Hemispherotomy is an established surgical technique to cure or palliate selected, mostly young patients suffering from refractory epilepsy. However, a few patients continue to have seizures despite the surgical hemispherical disconnection. We present a case series of patients who underwent redo hemispherotomy after a first unsuccessful hemispherical disconnection and provide a roadmap for subsequent workup and treatment. The institutional database of epilepsy surgery was reviewed. Twenty-four patients who underwent hemispherotomies for refractory epilepsy were identified between 2007 and 2016...
August 10, 2017: Neurosurgical Review
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