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https://www.readbyqxmd.com/read/28231543/date-seed-extract-ameliorates-%C3%AE-amyloid-induced-impairments-in-hippocampus-of-male-rats
#1
Farzaneh Dehghanian, Taj Pari Kalantaripour, Khadijeh Esmaeilpour, Leila Elyasi, Hakime Oloumi, Fatmeh Mehdi Pour, Majid Asadi-Shekaari
Alzheimer's disease (AD) is the most prevalent neurodegenerative disorder among the elderly. Because the existing treatments for Alzheimer's disease only offer limited symptomatic alleviation, more efficient therapeutic agents are urgently needed. Date seed is a hepatoprotective and neuroprotective agent. Date seed extract (DSE) has bioactive components like phenolics, flavonoids, and vitamins. In view of the ameliorative effects of DSE against an oxidative injury, the current study was designed to reveal whether DSE has a neuroprotective resource in the rat model of Alzheimer's disease...
February 20, 2017: Biomedicine & Pharmacotherapy, Biomédecine & Pharmacothérapie
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
#2
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
#3
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/28229379/a-novel-frameshift-mutation-in-the-sterol-27-hydroxylase-gene-in-an-egyptian-family-with-cerebrotendinous-xanthomatosis-without-cataract
#4
Mohamed S Abdel-Hamid, Mahmoud Y Issa, Ghada A Otaify, Maha S Zaki
Cerebrotendinous xanthomatosis (CTX) is a rare autosomal recessive lipid storage disorder caused by deficiency of the mitochondrial cytochrome P450 sterol 27-hydroxylase enzyme encoded by CYP27A1 gene. CTX is characterized by tendon xanthomas, juvenile cataracts and multiple progressive neurological symptoms. Here we report on the clinical and molecular findings of a 35-years old Egyptian patient with CTX without cataract. Parents were first cousins with family history of two deceased sibs with mild impaired cognitive functions and epilepsy without appearance of tendon xanthomas...
February 22, 2017: Metabolic Brain Disease
https://www.readbyqxmd.com/read/28229105/early-life-adversity-lasting-consequences-for-emotional-learning
#5
REVIEW
Harm J Krugers, J Marit Arp, Hui Xiong, Sofia Kanatsou, Sylvie L Lesuis, Aniko Korosi, Marian Joels, Paul J Lucassen
The early postnatal period is a highly sensitive time period for the developing brain, both in humans and rodents. During this time window, exposure to adverse experiences can lastingly impact cognitive and emotional development. In this review, we briefly discuss human and rodent studies investigating how exposure to adverse early life conditions - mainly related to quality of parental care - affects brain activity, brain structure, cognition and emotional responses later in life. We discuss the evidence that early life adversity hampers later hippocampal and prefrontal cortex functions, while increasing amygdala activity, and the sensitivity to stressors and emotional behavior later in life...
February 2017: Neurobiology of Stress
https://www.readbyqxmd.com/read/28228742/sleep-dependent-consolidation-of-rewarded-behavior-is-diminished-in-children-with-attention-deficit-hyperactivity-disorder-and-a-comorbid-disorder-of-social-behavior
#6
Christian D Wiesner, Ina Molzow, Alexander Prehn-Kristensen, Lioba Baving
Children suffering from attention-deficit hyperactivity disorder (ADHD) often also display impaired learning and memory. Previous research has documented aberrant reward processing in ADHD as well as impaired sleep-dependent consolidation of declarative memory. We investigated whether sleep also fosters the consolidation of behavior learned by probabilistic reward and whether ADHD patients with a comorbid disorder of social behavior show deficits in this memory domain, too. A group of 17 ADHD patients with comorbid disorders of social behavior aged 8-12 years and healthy controls matched for age, IQ, and handedness took part in the experiment...
2017: Frontiers in Psychology
https://www.readbyqxmd.com/read/28227698/predicting-brain-stimulation-treatment-outcomes-of-depressed-patients-through-the-classification-of-eeg-oscillations
#7
Alaa M Al-Kaysi, Ahmed Al-Ani, Colleen K Loo, Michael Breakspear, Tjeerd W Boonstra, Alaa M Al-Kaysi, Ahmed Al-Ani, Colleen K Loo, Michael Breakspear, Tjeerd W Boonstra, Michael Breakspear, Ahmed Al-Ani, Tjeerd W Boonstra, Colleen K Loo
Major depressive disorder (MDD) is a mental disorder that is characterized by negative thoughts, mood and behavior. Transcranial direct current stimulation (tDCS) has recently emerged as a promising brain-stimulation treatment for MDD. A standard tDCS treatment involves numerous sessions that run over a few weeks, however, not all participants respond to this type of treatment. This study aims to predict which patients improve in mood and cognition in response to tDCS treatment by analyzing electroencephalography (EEG) of MDD patients that was collected at the start of tDCS treatment...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227679/wildcard-a-wearable-virtual-reality-storytelling-tool-for-children-with-intellectual-developmental-disability
#8
Mirko Gelsomini, Franca Garzotto, Daniele Montesano, Daniele Occhiuto, Mirko Gelsomini, Franca Garzotto, Daniele Montesano, Daniele Occhiuto, Daniele Montesano, Franca Garzotto, Mirko Gelsomini, Daniele Occhiuto
Our research aims at supporting existing therapies for children with intellectual and developmental disorders (IDD). The personal and social autonomy is the desired end state to be achieved to enable a smooth integration in the real world. We developed and tested a framework for storytelling and learning activities that exploits an immersive virtual reality viewer to interact with target users. We co-designed our system with experts from the medical sector, identifying features that allow patients to stay focused on exercises to perform...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227344/detection-of-mental-stress-due-to-oral-academic-examination-via-ultra-short-term-hrv-analysis
#9
R Castaldo, W Xu, P Melillo, L Pecchia, L Santamaria, C James, R Castaldo, W Xu, P Melillo, L Pecchia, L Santamaria, C James, R Castaldo, C James, W Xu, P Melillo, L Santamaria, L Pecchia
Mental stress may cause cognitive dysfunctions, cardiovascular disorders and depression. Mental stress detection via short-term Heart Rate Variability (HRV) analysis has been widely explored in the last years, while ultra-short term (less than 5 minutes) HRV has been not. This study aims to detect mental stress using linear and non-linear HRV features extracted from 3 minutes ECG excerpts recorded from 42 university students, during oral examination (stress) and at rest after a vacation. HRV features were then extracted and analyzed according to the literature using validated software tools...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227312/improving-quality-and-intelligibility-of-speech-using-single-microphone-for-the-broadband-fmri-noise-at-low-snr
#10
Chetan Vahanesa, Chandan K A Reddy, Issa M S Panahi, Chetan Vahanesa, Chandan K A Reddy, Issa M S Panahi, Chetan Vahanesa, Issa M S Panahi, Chandan K A Reddy
Functional Magnetic Resonance Imaging (fMRI) is used in many diagnostic procedures for neurological related disorders. Strong broadband acoustic noise generated during fMRI scan interferes with the speech communication between the physician and the patient. In this paper, we propose a single microphone Speech Enhancement (SE) technique which is based on the supervised machine learning technique and a statistical model based SE technique. The proposed algorithm is robust and computationally efficient and has capability to run in real-time...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227229/ensemble-statistical-and-subspace-clustering-model-for-analysis-of-autism-spectrum-disorder-phenotypes
#11
Khalid Al-Jabery, Tayo Obafemi-Ajayi, Gayla R Olbricht, T Nicole Takahashi, Stephen Kanne, Donald Wunsch, Khalid Al-Jabery, Tayo Obafemi-Ajayi, Gayla R Olbricht, T Nicole Takahashi, Stephen Kanne, Donald Wunsch, Donald Wunsch, Tayo Obafemi-Ajayi, Khalid Al-Jabery, Stephen Kanne, Gayla R Olbricht, T Nicole Takahashi
Heterogeneity in Autism Spectrum Disorder (ASD) is complex including variability in behavioral phenotype as well as clinical, physiologic, and pathologic parameters. The fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) now diagnoses ASD using a 2-dimensional model based social communication deficits and fixated interests and repetitive behaviors. Sorting out heterogeneity is crucial for study of etiology, diagnosis, treatment and prognosis. In this paper, we present an ensemble model for analyzing ASD phenotypes using several machine learning techniques and a k-dimensional subspace clustering algorithm...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227039/amp-a-platform-for-managing-and-mining-data-in-the-treatment-of-autism-spectrum-disorder
#12
Erik Linstead, Ryan Burns, Duy Nguyen, David Tyler, Erik Linstead, Ryan Burns, Duy Nguyen, David Tyler, Erik Linstead, Duy Nguyen, Ryan Burns, David Tyler
We introduce AMP (Autism Management Platform), an integrated health care information system for capturing, analyzing, and managing data associated with the diagnosis and treatment of Autism Spectrum Disorder in children. AMP's mobile application simplifies the means by which parents, guardians, and clinicians can collect and share multimedia data with one another, facilitating communication and reducing data redundancy, while simplifying retrieval. Additionally, AMP provides an intelligent web interface and analytics platform which allow physicians and specialists to aggregate and mine patient data in real-time, as well as give relevant feedback to automatically learn data filtering preferences over time...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226968/discriminating-clinical-phases-of-recovery-from-major-depressive-disorder-using-the-dynamics-of-facial-expression
#13
Sahar Harati, Andrea Crowell, Helen Mayberg, Jun Kong, Shamim Nemati, Sahar Harati, Andrea Crowell, Helen Mayberg, Jun Kong, Shamim Nemati, Andrea Crowell, Helen Mayberg, Jun Kong, Shamim Nemati, Sahar Harati
We used several metrics of variability to extract unsupervised features from video recordings of patients before and after deep brain stimulation (DBS) treatment for major depressive disorder (MDD). Our goal was to quantify the treatment effects on facial expressivity. Multiscale entropy (MSE) was used to capture the temporal variability in pixel intensity level at multiple time-scales. A dynamic latent variable model (DLVM) was used to learn a low dimensional (D = 20) set of dynamic factors that explain the observed covariance across the high-dimensional pixels (M = 30 × 30) within each video frame and across time...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226751/deep-neural-ensemble-for-retinal-vessel-segmentation-in-fundus-images-towards-achieving-label-free-angiography
#14
A Lahiri, Abhijit Guha Roy, Debdoot Sheet, Prabir Kumar Biswas, A Lahiri, Abhijit Guha Roy, Debdoot Sheet, Prabir Kumar Biswas, Debdoot Sheet, Prabir Kumar Biswas, A Lahiri
Automated segmentation of retinal blood vessels in label-free fundus images entails a pivotal role in computed aided diagnosis of ophthalmic pathologies, viz., diabetic retinopathy, hypertensive disorders and cardiovascular diseases. The challenge remains active in medical image analysis research due to varied distribution of blood vessels, which manifest variations in their dimensions of physical appearance against a noisy background. In this paper we formulate the segmentation challenge as a classification task...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226674/a-multiple-kernel-learning-approach-for-human-behavioral-task-classification-using-stn-lfp-signal
#15
Hosein M Golshan, Adam O Hebb, Sara J Hanrahan, Joshua Nedrud, Mohammad H Mahoor, Hosein M Golshan, Adam O Hebb, Sara J Hanrahan, Joshua Nedrud, Mohammad H Mahoor, Joshua Nedrud, Adam O Hebb, Sara J Hanrahan, Mohammad H Mahoor, Hosein M Golshan
Deep Brain Stimulation (DBS) has gained increasing attention as an effective method to mitigate Parkinson's disease (PD) disorders. Existing DBS systems are open-loop such that the system parameters are not adjusted automatically based on patient's behavior. Classification of human behavior is an important step in the design of the next generation of DBS systems that are closed-loop. This paper presents a classification approach to recognize such behavioral tasks using the subthalamic nucleus (STN) Local Field Potential (LFP) signals...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226583/recent-machine-learning-advancements-in-sensor-based-mobility-analysis-deep-learning-for-parkinson-s-disease-assessment
#16
Bjoern M Eskofier, Sunghoon I Lee, Jean-Francois Daneault, Fatemeh N Golabchi, Gabriela Ferreira-Carvalho, Gloria Vergara-Diaz, Stefano Sapienza, Gianluca Costante, Jochen Klucken, Thomas Kautz, Paolo Bonato, Bjoern M Eskofier, Sunghoon I Lee, Jean-Francois Daneault, Fatemeh N Golabchi, Gabriela Ferreira-Carvalho, Gloria Vergara-Diaz, Stefano Sapienza, Gianluca Costante, Jochen Klucken, Thomas Kautz, Paolo Bonato, Fatemeh N Golabchi, Gianluca Costante, Gloria Vergara-Diaz, Paolo Bonato, Gabriela Ferreira-Carvalho, Jean-Francois Daneault, Bjoern M Eskofier, Jochen Klucken, Sunghoon I Lee, Thomas Kautz, Stefano Sapienza
The development of wearable sensors has opened the door for long-term assessment of movement disorders. However, there is still a need for developing methods suitable to monitor motor symptoms in and outside the clinic. The purpose of this paper was to investigate deep learning as a method for this monitoring. Deep learning recently broke records in speech and image classification, but it has not been fully investigated as a potential approach to analyze wearable sensor data. We collected data from ten patients with idiopathic Parkinson's disease using inertial measurement units...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226352/-postoperative-complication-registration-in-gastric-cancer-surgery-from-2005-to-2016-a-learning-curve-in-our-institution
#17
Zhouqiao Wu, Jinyao Shi, Fei Shan, Ziyu Li, Jiafu Ji
OBJECTIVE: To analyze the change in postoperative complication rate after gastric cancer surgery registered in the Peking University Cancer Hospital in recent 11 years and the learning curve of complication registration, and to investigate how to improve the complication registration and evaluation in gastric cancer surgery. METHODS: Patients who underwent open or laparoscopic gastric cancer surgery between April 14, 2005 and February 15, 2016 in our institution were included in the study, and those without essential clinical and administrative data were excluded...
February 25, 2017: Zhonghua Wei Chang Wai Ke za Zhi, Chinese Journal of Gastrointestinal Surgery
https://www.readbyqxmd.com/read/28225543/cuba-s-aging-and-alzheimer-longitudinal-study
#18
Juan de Jesús Llibre-Rodríguez, Adolfo Valhuerdi-Cepero, Ana M López-Medina, Lisseth Noriega-Fernández, Rutbeskia Porto-Álvarez, Milagros A Guerra-Hernández, Rodolfo I Bosch-Bayard, Tania Zayas-Llerena, Elaine Hernandez-Ulloa, Ana L Rodríguez-Blanco, Enrique Salazar-Pérez, Juan C Llibre-Guerra, Jorge J Llibre-Guerra, Beatriz Marcheco-Teruel
Aging and Alzheimer is a prospective, longitudinal cohort study involving 2944 adults aged ≥65 years from selected areas in Cuba's Havana and Matanzas Provinces. This door-to-door study, which began in 2003, includes periodic assessments of the cohort based on an interview; physical exam; anthropometric measurements; and diagnosis of dementia and its subtypes, other mental disorders, and other chronic non-communicable diseases and their risk factors. Information was gathered on sociodemographic characteristics; disability, dependency and frailty; use of health services; and characteristics of care and caregiver burden...
January 2017: MEDICC Review
https://www.readbyqxmd.com/read/28225480/nmda-receptor-subunit-and-camkii-changes-in-rat-hippocampus-by-congenital-hcmv-infection-a-mechanism-for-learning-and-memory-impairment
#19
De Wu, Li Yang, Xiaosong Bu, Jiulai Tang, Xiaocheng Fan
The aim of this study was to investigate the effects of congenital human cytomegalovirus infection on the expression levels of N-methyl-D-aspartate receptors (NRs) and Ca/calmodulin-dependent protein kinase II (CaMKII) in the hippocampal neurons of neonatal Sprague-Dawley (SD) rats. Pregnant SD rats were divided into an experimental group and a control group (n=10 in each group). Spatial learning and memory of the offspring of SD rats were evaluated using the Morris water-maze test. Pathological studies of hippocampus sections were carried out...
February 20, 2017: Neuroreport
https://www.readbyqxmd.com/read/28225426/committee-opinion-no-691-carrier-screening-for-genetic-conditions
#20
(no author information available yet)
Carrier screening is a term used to describe genetic testing that is performed on an individual who does not have any overt phenotype for a genetic disorder but may have one variant allele within a gene(s) associated with a diagnosis. Information about carrier screening should be provided to every pregnant woman. Carrier screening and counseling ideally should be performed before pregnancy because this enables couples to learn about their reproductive risk and consider the most complete range of reproductive options...
March 2017: Obstetrics and Gynecology
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