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https://www.readbyqxmd.com/read/28432781/cognitive-functioning-and-emotion-processing-in-breast-cancer-survivors-and-controls-an-erp-pilot-study
#1
Janine Wirkner, Mathias Weymar, Andreas Löw, Carmen Hamm, Anne-Marie Struck, Clemens Kirschbaum, Alfons O Hamm
Diagnosis and treatment of breast cancer is a very emotionally aversive and stressful life event, which can lead to impaired cognitive functioning and mental health. Breast cancer survivors responding with repressive emotion regulation strategies often show less adaptive coping and adverse outcomes. We investigated cognitive functioning and neural correlates of emotion processing using ERPs. Self-report measures of depression, anxiety, and fatigue, as well as hair cortisol as an index of chronic stress, were assessed...
April 22, 2017: Psychophysiology
https://www.readbyqxmd.com/read/28370992/cortical-adaptations-during-muscle-fatigue-the-role-of-sensorimotor-oscillations
#2
EDITORIAL
T W Boonstra
No abstract text is available yet for this article.
March 29, 2017: Acta Physiologica
https://www.readbyqxmd.com/read/28366444/tryptophan-and-kynurenine-levels-and-its-association-with-sleep-nonphysical-fatigue-and-depression-in-chronic-hemodialysis-patients
#3
Rakesh Malhotra, Vanja Persic, Weifang Zhang, Jill Brown, Xia Tao, Laura Rosales, Stephan Thijssen, Fredric O Finkelstein, Mark L Unruh, Alp Ikizler, Pranav S Garimella, Joachim H Ix, Jeroen Kooman, Nathan W Levin, Garry J Handelman, Peter Kotanko
OBJECTIVE: Sleep and mood disorders are common in hemodialysis (HD) patients and the pathophysiology is still unclear. Tryptophan (TRP) and its metabolites may play a prominent role in neural pathways related to sleep, fatigue, and depression. Here, we sought to compare the levels of TRP and its metabolites between HD patients and healthy subjects and examine their association with sleep, fatigue, and depression in HD patients. The design was cross-sectional analysis. SUBJECTS: Ninety-nine adult patients on stable thrice weekly HD schedule between September 2011 and March 2014 and 10 healthy controls...
March 30, 2017: Journal of Renal Nutrition
https://www.readbyqxmd.com/read/28362843/the-non-replicability-of-regulatory-resource-depletion-a-field-report-employing-non-invasive-brain-stimulation
#4
Franziska Emmerling, Carolien Martijn, Hugo J E M Alberts, Alix C Thomson, Bastian David, Daniel Kessler, Teresa Schuhmann, Alexander T Sack
Cognitive effort and self-control are exhausting. Although evidence is ambiguous, behavioural studies have repeatedly suggested that control-demanding tasks seem to deplete a limited cache of self-regulatory resources leading to performance degradations and fatigue. While resource depletion has indirectly been associated with a decline in right prefrontal cortex capacity, its precise neural underpinnings have not yet been revealed. This study consisted of two independent experiments, which set out to investigate the causal role of the right dorsolateral prefrontal cortex (DLPFC) in a classic dual phase depletion paradigm employing non-invasive brain stimulation...
2017: PloS One
https://www.readbyqxmd.com/read/28357463/age-specific-neural-strategies-to-maintain-motor-performance-after-an-acute-social-stress-bout
#5
Ranjana K Mehta, Rhee Joohyun
Stress due to cognitive demands and fatigue have shown to impair motor performance in older adults; however, the effect of social stress and its influence on prefrontal cortex (PFC) functioning in older adults during upper extremity motor performance tasks is not known. The present study explored the after-effects of an acute social stress bout on neural strategies, measured using PFC and hand/arm muscle activation, and adopted by younger and older adults to maintain handgrip force control. Nine older [74.1 (6...
March 29, 2017: Experimental Brain Research. Experimentelle Hirnforschung. Expérimentation Cérébrale
https://www.readbyqxmd.com/read/28350944/navigation-and-robotics-in-spinal-surgery-where-are-we-now
#6
Samuel C Overley, Samuel K Cho, Ankit I Mehta, Paul M Arnold
Spine surgery has experienced much technological innovation over the past several decades. The field has seen advancements in operative techniques, implants and biologics, and equipment such as computer-assisted navigation and surgical robotics. With the arrival of real-time image guidance and navigation capabilities along with the computing ability to process and reconstruct these data into an interactive three-dimensional spinal "map", so too have the applications of surgical robotic technology. While spinal robotics and navigation represent promising potential for improving modern spinal surgery, it remains paramount to demonstrate its superiority as compared to traditional techniques prior to assimilation of its use amongst surgeons...
March 1, 2017: Neurosurgery
https://www.readbyqxmd.com/read/28348785/retrospective-pcr-based-species-identification-of-leishmania-in-two-patients-with-visceral-leishmaniasis-in-serbia
#7
Zorica Dakić, Henrik Vedel Nielsen, Milorad Pavlović, Jasmina Poluga, Goran Stevanović, Lidija Lavadinović, Branko Milošević, Mijomir Pelemiš, Aleksandar Urošević, Snežana Jovanović, Christen Rune Stensvold
INTRODUCTION: Retrospective molecular identification of Leishmania parasites in two patients with visceral leishmaniasis (VL) previously treated in Serbia was carried out. DNA was isolated from unstained bone marrow smears (BMSs) kept for 11 and 8 years. Genus-specific real-time PCR was combined with conventional PCR and sequencing for detection and species identification. CASE PRESENTATION: In 2003, a 40-year-old Serbian male was admitted to the Clinical Centre of Serbia (CCS) with fever, sweating, fatigue and splenomegaly, which developed over a period of 7 weeks...
October 2016: JMM Case Reports
https://www.readbyqxmd.com/read/28326009/improving-eeg-based-driver-fatigue-classification-using-sparse-deep-belief-networks
#8
Rifai Chai, Sai Ho Ling, Phyo Phyo San, Ganesh R Naik, Tuan N Nguyen, Yvonne Tran, Ashley Craig, Hung T Nguyen
This paper presents an improvement of classification performance for electroencephalography (EEG)-based driver fatigue classification between fatigue and alert states with the data collected from 43 participants. The system employs autoregressive (AR) modeling as the features extraction algorithm, and sparse-deep belief networks (sparse-DBN) as the classification algorithm. Compared to other classifiers, sparse-DBN is a semi supervised learning method which combines unsupervised learning for modeling features in the pre-training layer and supervised learning for classification in the following layer...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28321563/do-patients-with-m%C3%A3-ni%C3%A3-re-s-disease-have-attacks-of-syncope
#9
Ilmari Pyykkö, Vinaya Manchaiah, Jing Zou, Hilla Levo, Erna Kentala
The aim of the present study was to evaluate the prevalence and associated factors for syncope among patients with Ménière's disease (MD). An attack of syncope was defined as a sudden and transient loss of consciousness, which subsides spontaneously and without a localizing neurological deficit. The study used an across-sectional survey design. Information from a database consisting of 961 individuals was collected from the Finnish Ménière Association. The data contained case histories, general health-related quality of life (HRQoL), and impact measurements of the complaints...
March 20, 2017: Journal of Neurology
https://www.readbyqxmd.com/read/28277403/methylphenidate-enhances-grip-force-and-alters-brain-connectivity
#10
Michael King, Laurie H Rauch, Samantha J Brooks, Dan J Stein, Kai Lutz
INTRODUCTION: A central fatigue theory proposes that force output during fatiguing exercise is limited to maintain homeostasis. The self-awareness of the body's homeostatic state is known as interoception. Brain regions thought to play a role in interoception, such as the insular and orbital frontal cortex, have been proposed as sites for the upstream regulation of fatiguing exercise. Methylphenidate (MPH) can improve force output during exercise and may alter central processes during fatiguing exercise...
March 8, 2017: Medicine and Science in Sports and Exercise
https://www.readbyqxmd.com/read/28269312/classification-of-eeg-based-mental-fatigue-using-principal-component-analysis-and-bayesian-neural-network
#11
Rifai Chai, Yvonne Tran, Ganesh R Naik, Tuan N Nguyen, Sai Ho Ling, Ashley Craig, Hung T Nguyen
This paper presents an electroencephalography (EEG) based-classification of between pre- and post-mental load tasks for mental fatigue detection from 65 healthy participants. During the data collection, eye closed and eye open tasks were collected before and after conducting the mental load tasks. For the computational intelligence, the system uses the combination of principal component analysis (PCA) as the dimension reduction method of the original 26 channels of EEG data, power spectral density (PSD) as feature extractor and Bayesian neural network (BNN) as classifier...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28267750/changes-in-brain-activation-in-breast-cancer-patients-depend-on-cognitive-domain-and-treatment-type
#12
Sanne Menning, Michiel B de Ruiter, Dick J Veltman, Willem Boogerd, Hester S A Oldenburg, Liesbeth Reneman, Sanne B Schagen
BACKGROUND: Cognitive problems in breast cancer patients are common after systemic treatment, particularly chemotherapy. An increasing number of fMRI studies show altered brain activation in breast cancer patients after treatment, suggestive of neurotoxicity. Previous prospective fMRI studies administered a single cognitive task. The current study employed two task paradigms to evaluate whether treatment-induced changes depend on the probed cognitive domain. METHODS: Participants were breast cancer patients scheduled to receive systemic treatment (anthracycline-based chemotherapy +/- endocrine treatment, n = 28), or no systemic treatment (n = 24) and no-cancer controls (n = 31)...
2017: PloS One
https://www.readbyqxmd.com/read/28261110/the-neuroinflammatory-etiopathology-of-myalgic-encephalomyelitis-chronic-fatigue-syndrome-me-cfs
#13
Julian A G Glassford
Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a debilitating multi-systemic chronic illness of unknown etiology, classified as a neurological disorder by the World Health Organization (WHO). The symptomatology of the condition appears to emanate from a variety of sources of chronic neurological disturbance and associated distortions, and chronicity, in noxious sensory signaling and neuroimmune activation. This article incorporates a summary review and discussion of biomedical research considered relevant to this essential conception perspective...
2017: Frontiers in Physiology
https://www.readbyqxmd.com/read/28257928/the-effects-of-a-mid-task-break-on-the-brain-connectome-in-healthy-participants-a-resting-state-functional-mri-study
#14
Yu Sun, Julian Lim, Zhongxiang Dai, KianFoong Wong, Fumihiko Taya, Yu Chen, Junhua Li, Nitish Thakor, Anastasios Bezerianos
Although rest breaks are commonly administered as a countermeasure to reduce mental fatigue and boost cognitive performance, the effects of taking a break on behavior are not consistent. Moreover, our understanding of the underlying neural mechanisms of rest breaks and how they modulate mental fatigue is still rudimentary. In this study, we investigated the effects of receiving a rest break on the topological properties of brain connectivity networks via a two-session experimental paradigm, in which one session comprised four successive blocks of a mentally demanding visual selective attention task (No-rest session), whereas the other contained a rest break between the second and third task blocks (Rest session)...
February 28, 2017: NeuroImage
https://www.readbyqxmd.com/read/28242828/unilateral-fatiguing-exercise-and-its-effect-on-ipsilateral-and-contralateral-resting-mechanomyographic-mean-frequency-between-aerobic-populations
#15
Nathan P Wages, Travis W Beck, Xin Ye, Joshua C Carr
The purpose of this investigation was to establish a better understanding of contralateral training and its effects between homologous muscles following unilateral fatiguing aerobic exercise during variable resting postural positions, and to determine if any observable disparities could be attributed to the differences between the training ages of the participants. Furthermore, we hypothesized that we would observe a contralateral cross-over effect for both groups, with the novice trained group having the higher mechanomyographic mean frequency values in both limbs, across all resting postural positions...
February 2017: Physiological Reports
https://www.readbyqxmd.com/read/28241776/the-effectiveness-of-robot-assisted-gait-training-versus-conventional-therapy-on-mobility-in-severely-disabled-progressive-multiple-sclerosis-patients-ragtime-study-protocol-for-a-randomized-controlled-trial
#16
Sofia Straudi, Fabio Manfredini, Nicola Lamberti, Paolo Zamboni, Francesco Bernardi, Giovanna Marchetti, Paolo Pinton, Massimo Bonora, Paola Secchiero, Veronica Tisato, Stefano Volpato, Nino Basaglia
BACKGROUND: Gait and mobility impairments affect the quality of life (QoL) of patients with progressive multiple sclerosis (MS). Robot-assisted gait training (RAGT) is an effective rehabilitative treatment but evidence of its superiority compared to other options is lacking. Furthermore, the response to rehabilitation is multidimensional, person-specific and possibly involves functional reorganization processes. The aims of this study are: (1) to test the effectiveness on gait speed, mobility, balance, fatigue and QoL of RAGT compared to conventional therapy (CT) in progressive MS and (2) to explore changes of clinical and circulating biomarkers of neural plasticity...
February 27, 2017: Trials
https://www.readbyqxmd.com/read/28240392/abnormal-task-driven-neural-oscillations-in-multiple-sclerosis-a-visuomotor-meg-study
#17
Eleanor L Barratt, Prejaas K Tewarie, Margareta A Clarke, Emma L Hall, Penny A Gowland, Peter G Morris, Susan T Francis, Nikos Evangelou, Matthew J Brookes
Multiple sclerosis (MS) is a debilitating disease commonly attributed to degradation of white matter myelin. Symptoms include fatigue, as well as problems associated with vision and movement. Although areas of demyelination in white matter are observed routinely in patients undergoing MRI scans, such measures are often a poor predictor of disease severity. For this reason, it is instructive to measure associated changes in brain function. Widespread white-matter demyelination may lead to delays of propagation of neuronal activity, and with its excellent temporal resolution, magnetoencephalography can be used to probe such delays in controlled conditions (e...
February 27, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28227550/classification-of-eeg-based-mental-fatigue-using-principal-component-analysis-and-bayesian-neural-network
#18
Rifai Chai, Yvonne Tran, Ganesh R Naik, Tuan N Nguyen, Sai Ho Ling, Ashley Craig, Hung T Nguyen, Rifai Chai, Yvonne Tran, Ganesh R Naik, Tuan N Nguyen, Sai Ho Ling, Ashley Craig, Hung T Nguyen, Ashley Craig, Tuan N Nguyen, Sai Ho Ling, Hung T Nguyen, Yvonne Tran, Ganesh R Naik, Rifai Chai
This paper presents an electroencephalography (EEG) based-classification of between pre- and post-mental load tasks for mental fatigue detection from 65 healthy participants. During the data collection, eye closed and eye open tasks were collected before and after conducting the mental load tasks. For the computational intelligence, the system uses the combination of principal component analysis (PCA) as the dimension reduction method of the original 26 channels of EEG data, power spectral density (PSD) as feature extractor and Bayesian neural network (BNN) as classifier...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28219032/analysis-of-the-semg-force-relationship-using-hd-semg-technique-and-data-fusion-a-simulation-study
#19
Mariam Al Harrach, Vincent Carriou, Sofiane Boudaoud, Jeremy Laforet, Frederic Marin
The relationship between the surface Electromyogram (sEMG) signal and the force of an individual muscle is still ambiguous due to the complexity of experimental evaluation. However, understanding this relationship should be useful for the assessment of neuromuscular system in healthy and pathological contexts. In this study, we present a global investigation of the factors governing the shape of this relationship. Accordingly, we conducted a focused sensitivity analysis of the sEMG/force relationship form with respect to neural, functional and physiological parameters variation...
February 16, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28217081/blinker-automated-extraction-of-ocular-indices-from-eeg-enabling-large-scale-analysis
#20
Kelly Kleifges, Nima Bigdely-Shamlo, Scott E Kerick, Kay A Robbins
Electroencephalography (EEG) offers a platform for studying the relationships between behavioral measures, such as blink rate and duration, with neural correlates of fatigue and attention, such as theta and alpha band power. Further, the existence of EEG studies covering a variety of subjects and tasks provides opportunities for the community to better characterize variability of these measures across tasks and subjects. We have implemented an automated pipeline (BLINKER) for extracting ocular indices such as blink rate, blink duration, and blink velocity-amplitude ratios from EEG channels, EOG channels, and/or independent components (ICs)...
2017: Frontiers in Neuroscience
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