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https://www.readbyqxmd.com/read/28231477/effects-of-tdcs-on-motor-learning-and-memory-formation-a-consensus-and-critical-position-paper
#1
REVIEW
Ethan R Buch, Emiliano Santarnecchi, Andrea Antal, Jan Born, Pablo A Celnik, Joseph Classen, Christian Gerloff, Mark Hallett, Friedhelm C Hummel, Michael A Nitsche, Alvaro Pascual-Leone, Walter J Paulus, Janine Reis, Edwin M Robertson, John C Rothwell, Marco Sandrini, Heidi M Schambra, Eric M Wassermann, Ulf Ziemann, Leonardo G Cohen
Motor skills are required for activities of daily living. Transcranial direct current stimulation (tDCS) applied in association with motor skill learning has been investigated as a tool for enhancing training effects in health and disease. Here, we review the published literature investigating whether tDCS can facilitate the acquisition, retention or adaptation of motor skills. Work in multiple laboratories is underway to develop a mechanistic understanding of tDCS effects on different forms of learning and to optimize stimulation protocols...
January 29, 2017: Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology
https://www.readbyqxmd.com/read/28230751/the-feasibility-of-embedding-data-collection-into-the-routine-service-delivery-of-a-multi-component-program-for-high-risk-young-people
#2
Alice Knight, Alys Havard, Anthony Shakeshaft, Myfanwy Maple, Mieke Snijder, Bernie Shakeshaft
BACKGROUND: There is little evidence about how to improve outcomes for high-risk young people, of whom Indigenous young people are disproportionately represented, due to few evaluation studies of interventions. One way to increase the evidence is to have researchers and service providers collaborate to embed evaluation into the routine delivery of services, so program delivery and evaluation occur simultaneously. This study aims to demonstrate the feasibility of integrating best-evidence measures into the routine data collection processes of a service for high-risk young people, and identify the number and nature of risk factors experienced by participants...
February 20, 2017: International Journal of Environmental Research and Public Health
https://www.readbyqxmd.com/read/28230072/improved-social-interaction-recognition-and-working-memory-with-cannabidiol-treatment-in-a-prenatal-infection-poly-i-c-rat-model
#3
Ashleigh L Osborne, Nadia Solowij, Ilijana Babic, Xu-Feng Huang, Katrina Weston-Green
Neuropsychiatric disorders such as schizophrenia are associated with cognitive impairment, including learning, memory and attention deficits. Antipsychotic drugs are limited in their efficacy to improve cognition; therefore, new therapeutic agents are required. Cannabidiol (CBD), the non-intoxicating component of cannabis, has anti-inflammatory, neuroprotective and antipsychotic-like properties, however, its ability to improve the cognitive deficits of schizophrenia remains unclear. Using a prenatal infection model, we examined the effect of chronic CBD treatment on cognition and social interaction...
February 23, 2017: Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology
https://www.readbyqxmd.com/read/28230061/neurofibromatosis-type-1
#4
REVIEW
David H Gutmann, Rosalie E Ferner, Robert H Listernick, Bruce R Korf, Pamela L Wolters, Kimberly J Johnson
Neurofibromatosis type 1 is a complex autosomal dominant disorder caused by germline mutations in the NF1 tumour suppressor gene. Nearly all individuals with neurofibromatosis type 1 develop pigmentary lesions (café-au-lait macules, skinfold freckling and Lisch nodules) and dermal neurofibromas. Some individuals develop skeletal abnormalities (scoliosis, tibial pseudarthrosis and orbital dysplasia), brain tumours (optic pathway gliomas and glioblastoma), peripheral nerve tumours (spinal neurofibromas, plexiform neurofibromas and malignant peripheral nerve sheath tumours), learning disabilities, attention deficits, and social and behavioural problems, which can negatively affect quality of life...
February 23, 2017: Nature Reviews. Disease Primers
https://www.readbyqxmd.com/read/28229638/intranasal-insulin-treatment-improves-memory-and-learning-in-a-rat-amyloid-beta-model-of-alzheimer-s-disease
#5
S Farzampour, A Majdi, S Sadigh-Eteghad
Recently, insulin has been used as a pro-cognitive agent for the potential treatment of Alzheimer's disease (AD), because of its ability to cross the brain-blood barrier (BBB) by a saturable transport system. This study has been designed to evaluate the effects of intranasal insulin regimen, as a bypass system of BBB, on spatial memory in amyloid-beta (Aβ) model of AD in rat. Unilateral infusion of Aβ25-35 (10 nmol/2 µl/rat) into the lateral ventricular region of brain was used to produce a rat model of AD...
September 2016: Physiol Int
https://www.readbyqxmd.com/read/28229238/preclinical-endoscopic-training-using-a-part-task-simulator-learning-curve-assessment-and-determination-of-threshold-score-for-advancement-to-clinical-endoscopy
#6
Pichamol Jirapinyo, Wasif M Abidi, Hiroyuki Aihara, Theodore Zaki, Cynthia Tsay, Avlin B Imaeda, Christopher C Thompson
BACKGROUND: Preclinical simulator training has the potential to decrease endoscopic procedure time and patient discomfort. This study aims to characterize the learning curve of endoscopic novices in a part-task simulator and propose a threshold score for advancement to initial clinical cases. METHODS: Twenty novices with no prior endoscopic experience underwent repeated endoscopic simulator sessions using the part-task simulator. Simulator scores were collected; their inverse was averaged and fit to an exponential curve...
February 22, 2017: Surgical Endoscopy
https://www.readbyqxmd.com/read/28229104/prenatal-stressors-in-rodents-effects-on-behavior
#7
REVIEW
Marta Weinstock
The current review focuses on studies in rodents published since 2008 and explores possible reasons for any differences they report in the effects of gestational stress on various types of behavior in the offspring. An abundance of experimental data shows that different maternal stressors in rodents can replicate some of the abnormalities in offspring behavior observed in humans. These include, anxiety, in juvenile and adult rats and mice, assessed in the elevated plus maze and open field tests and depression, detected in the forced swim and sucrose-preference tests...
February 2017: Neurobiology of Stress
https://www.readbyqxmd.com/read/28228720/motor-learning-abilities-are-similar-in-hemiplegic-cerebral-palsy-compared-to-controls-as-assessed-by-adaptation-to-unilateral-leg-weighting-during-gait-part-i
#8
Diane L Damiano, Christopher J Stanley, Thomas C Bulea, Hyung Soon Park
Introduction: Individuals with cerebral palsy (CP) demonstrate high response variability to motor training insufficiently accounted for by age or severity. We propose here that differences in the inherent ability to learn new motor tasks may explain some of this variability. Damage to motor pathways involving the cerebellum, which may be a direct or indirect effect of the brain injury for many with CP, has been shown to adversely affect the ability to learn new motor tasks and may be a potential explanation...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28228370/enhancing-doctors-competencies-in-communication-with-and-activation-of-older-patients-the-promoting-active-aging-practa-computer-based-intervention-study
#9
Dorota Wlodarczyk, Joanna Chylińska, Magdalena Lazarewicz, Marta Rzadkiewicz, Mariusz Jaworski, Miroslawa Adamus, Gørill Haugan, Monica Lillefjell, Geir Arild Espnes
BACKGROUND: Demographic changes over the past decades call for the promotion of health and disease prevention for older patients, as well as strategies to enhance their independence, productivity, and quality of life. OBJECTIVE: Our objective was to examine the effects of a computer-based educational intervention designed for general practitioners (GPs) to promote active aging. METHODS: The Promoting Active Aging (PRACTA) study consisted of a baseline questionnaire, implementation of an intervention, and a follow-up questionnaire that was administered 1 month after the intervention...
February 22, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28228369/feasibility-of-implementing-a-patient-centered-postoperative-wound-monitoring-program-using-smartphone-images-a-pilot-protocol
#10
Sara Fernandes-Taylor, Rebecca L Gunter, Kyla M Bennett, Lola Awoyinka, Shahrose Rahman, Caprice C Greenberg, K Craig Kent
BACKGROUND: Surgical site infections (SSI) represent a significant public health problem as the most common nosocomial infection and a leading cause of unplanned hospital readmissions among surgical patients. Many develop following hospital discharge and often go unrecognized by patients. Telemedicine offers the opportunity to leverage the mobile technology to remotely monitor wound recovery in the transitional period between hospital discharge and routine clinic follow-up. However, many existing telemedicine platforms are episodic, replacing routine follow-up, rather than equipped for continued monitoring; they include only low-risk patient populations and those who already have access to and comfort with the necessary technology; and transmit no visual information...
February 22, 2017: JMIR Research Protocols
https://www.readbyqxmd.com/read/28228249/a-computerised-test-of-perceptual-ability-for-learning-endoscopic-and-laparoscopic-surgery-and-other-image-guided-procedures-score-norms-for-picsor
#11
Patrick Henn, Anthony G Gallagher, Emmeline Nugent, Roddy Cowie, Neal E Seymour, Randy S Haluck, Hazem Hseino, Oscar Traynor, Paul C Neary
BACKGROUND: The aptitude to infer the shape of 3-D structures, such as internal organs from 2-D monitor displays, in image guided endoscopic and laparoscopic procedures varies. We sought both to validate a computer-generated task Pictorial Surface Orientation (PicSOr), which assesses this aptitude, and to identify norm referenced scores. METHODS: 400 subjects (339 surgeons and 61 controls) completed the PicSOr test. 50 subjects completed it again one year afterwards...
February 14, 2017: American Journal of Surgery
https://www.readbyqxmd.com/read/28228043/impact-of-exercise-on-clinical-symptom-report-and-neurocognition-following-concussion-in-children-and-adolescents
#12
Vicky Manikas, Franz Babl, Stephen J C Hearps, Julian Dooley, Vicki Anderson
Recovery from concussion in childhood is poorly understood, despite its importance in decisions regarding return to normal activity. Resolution of post-concussive symptoms (PCS) is widely employed as a marker of recovery in clinical practice, however it is unclear if subtle impairments persist only to re-emerge in the context of increased physical or cognitive demands. This study aimed to examine the effect of strenuous exercise on clinical symptom report and neurocognition in children and adolescents after PCS resolution following concussion We recruited concussed children and adolescents (n=30) on presentation to an Emergency Department (ED)...
February 22, 2017: Journal of Neurotrauma
https://www.readbyqxmd.com/read/28227971/a-feature-exploration-methodology-for-learning-based-cuffless-blood-pressure-measurement-using-photoplethysmography
#13
Kefeng Duan, Zhiliang Qian, Mohamed Atef, Guoxing Wang, Kefeng Duan, Zhiliang Qian, Mohamed Atef, Guoxing Wang, Zhiliang Qian, Kefeng Duan, Guoxing Wang, Mohamed Atef
In this work, we propose a feature exploration method for learning-based cuffless blood pressure measurement. More specifically, to efficiently explore a large feature space from the photoplethysmography signal, we have applied several analytical techniques, including random error elimination, adaptive outlier removal, maximum information coefficient and Pearson's correlation coefficient based feature assessment methods. We evaluate fifty-seven possible feature candidates and propose three separate feature sets with each containing eleven features to predict the systolic blood pressure (SBP), diastolic blood pressure (DBP) and mean blood pressure (MBP), respectively...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227951/smartsock-a-wearable-platform-for-context-aware-assessment-of-ankle-edema
#14
Ramin Fallahzadeh, Mahdi Pedram, Hassan Ghasemzadeh, Ramin Fallahzadeh, Mahdi Pedram, Hassan Ghasemzadeh
Ankle edema an important symptom for monitoring patients with chronic systematic diseases. It is an important indicator of onset or exacerbation of a variety of diseases that disturb cardiovascular, renal, or hepatic system such as heart, liver, and kidney failure, diabetes, etc. The current approaches toward edema assessment are conducted during clinical visits. In-clinic assessments, in addition to being burdensome and expensive, are sometimes not reliable and neglect important contextual factors such as patient's physical activity level and body posture...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227123/non-invasive-optical-imaging-techniques-for-burn-injured-tissue-detection-for-debridement-surgery
#15
Juan Heredia-Juesas, Jeffrey E Thatcher, Yang Lu, John J Squiers, Darlene King, Wensheng Fan, J Michael DiMaio, Jose A Martinez-Lorenzo, Juan Heredia-Juesas, Jeffrey E Thatcher, Yang Lu, John J Squiers, Darlene King, Wensheng Fan, J Michael DiMaio, Jose A Martinez-Lorenzo, Jeffrey E Thatcher, Darlene King, Jose A Martinez-Lorenzo, Wensheng Fan, Juan Heredia-Juesas, Yang Lu, John J Squiers
Burn debridement is a challenging technique that requires significant skill to identify regions requiring excision and appropriate excision depth. A machine learning tool is being developed in order to assist surgeons by providing a quantitative assessment of burn-injured tissue. Three noninvasive optical imaging techniques capable of distinguishing between four kinds of tissue-healthy skin, viable wound bed, deep burn, and shallow burn-during serial burn debridement in a porcine model are presented in this paper...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227060/a-statistical-estimation-framework-for-energy-expenditure-of-physical-activities-from-a-wrist-worn-accelerometer
#16
Qiao Wang, Suhas Lohit, Meynard John Toledo, Matthew P Buman, Pavan Turaga, Qiao Wang, Suhas Lohit, Meynard John Toledo, Matthew P Buman, Pavan Turaga, Pavan Turaga, Suhas Lohit, Qiao Wang, Matthew P Buman, Meynard John Toledo
Energy expenditure (EE) estimation from accelerometer-based wearable sensors is important to generate accurate assessment of physical activity (PA) in individuals. Approaches hitherto have mainly focused on using accelerometer data and features extracted from these data to learn a regression model to predict EE directly. In this paper, we propose a novel framework for EE estimation based on statistical estimation theory. Given a test sequence of accelerometer data, the probability distribution on the PA classes is estimated by a classifier and these predictions are used to estimate EE...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226966/measuring-the-quality-of-exercises
#17
Paritosh Parmar, Brendan Tran Morris, Paritosh Parmar, Brendan Tran Morris, Paritosh Parmar, Brendan Tran Morris
This work explores the problem of exercise quality measurement since it is essential for effective management of diseases like cerebral palsy (CP). This work examines the assessment of quality of large amplitude movement (LAM) exercises designed to treat CP in an automated fashion. Exercise data was collected by trained participants to generate ideal examples to use as a positive samples for machine learning. Following that, subjects were asked to deliberately make subtle errors during the exercise, such as restricting movements, as is commonly seen in cases of patients suffering from CP...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226841/mentor-s-brain-functional-connectivity-network-during-robotic-assisted-surgery-mentorship
#18
Somayeh B Shafiei, Scott T Doyle, Khurshid A Guru, Somayeh B Shafiei, Scott T Doyle, Khurshid A Guru, Somayeh B Shafiei, Khurshid A Guru, Scott T Doyle
In many complicated cognitive-motor tasks mentoring is inevitable during the learning process. Although mentors are expert in doing the task, trainee's operation might be new for a mentor. This makes mentoring a very difficult task which demands not only the knowledge and experience of a mentor, but also his/her ability to follow trainee's movements and patiently advise him/her during the operation. We hypothesize that information binding throughout the mentor's brain areas, contributed to the task, changes as the expertise level of the trainee improves from novice to intermediate and expert...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226811/day-to-day-variability-in-hybrid-passive-brain-computer-interfaces-comparing-two-studies-assessing-cognitive-workload
#19
Samantha L Klosterman, Justin R Estepp, Jason W Monnin, James C Christensen, Samantha L Klosterman, Justin R Estepp, Jason W Monnin, James C Christensen, Jason W Monnin, Samantha L Klosterman, Justin R Estepp, James C Christensen
As hybrid, passive brain-computer interface systems become more advanced, it is important to grow our understanding of how to produce generalizable pattern classifiers of physiological data. One of the most difficult problems in applying machine learning algorithms to these data types is nonstationarity, which can evolve over the course of hours and days, and is more susceptible to changes resulting from complex cognitive function in comparison to simple, stimulus-based processes. This nonstationarity, referenced as day-to-day variability, results in the inability of many learning algorithms to generalize to new data...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226742/a-cnn-based-neurobiology-inspired-approach-for-retinal-image-quality-assessment
#20
Dwarikanath Mahapatra, Pallab K Roy, Suman Sedai, Rahil Garnavi, Dwarikanath Mahapatra, Pallab K Roy, Suman Sedai, Rahil Garnavi, Suman Sedai, Pallab K Roy, Rahil Garnavi, Dwarikanath Mahapatra
Retinal image quality assessment (IQA) algorithms use different hand crafted features for training classifiers without considering the working of the human visual system (HVS) which plays an important role in IQA. We propose a convolutional neural network (CNN) based approach that determines image quality using the underlying principles behind the working of the HVS. CNNs provide a principled approach to feature learning and hence higher accuracy in decision making. Experimental results demonstrate the superior performance of our proposed algorithm over competing methods...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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