A Case Report on Heart Rate Variability Biofeedback and Postconcussion Syndrome: Healing the Autonomic Nervous System

Postconcussion syndrome is a devastating condition of the mind, body, and even personality. Mounting research demonstrates that heart rate variability biofeedback can help the concussed individual in three critical ways: (a) eliciting high amplitude oscillations in cardiovascular functions and thereby strengthening self-regulatory control mechanisms;(b) restoring autonomic balance;and (c) increasing the afferent impulse stream from the baroreceptors to restore balance between inhibitory and excitatory processes in the brain.

Frontrunners in Organ-on-a-Chip

Advances in tissue engineering, microfabrication, and biocompatible microfluidic chambers alongside the governmental (2) and regulatory (3) appetite to seek animal-free innovations in the drug development process has fuelled further interest and investment in this marketplace. According to market research, the global O°C market is forecast to be worth US$388 million (€354 million) by 2028 increasing from US$82 million (€75 million) in 2023, with a compound average growth of 36.4% from 2023 to 2028 (4). In March 2022, Lyon-based NETRI, attracted €8 million series A funding to help develop its novel high throughput (HT) compartmentalized microfluidic brain-on-a-chip and skin-on-a-chip technology for use by the pharma and cosmetic industry (15). Global Organ-onChip Market Size, Share, Trends, COVID-19 Impact and Growth Analysis ReportSegmented by Type (Heart-on-chip, Humanon-chip, Intestine-on-chip, Kidney-on-chip, Liver-on-chip and Lung-on-chip), Application and Region (North America, Europe, AsiaPacific, Latin America, Middle East and Africa)-Industry Forecast from 2023 to 2028.

A Deep Learning Powered System to Lie Detection While Online Study

Many education facilities have recently switched to online learning due to the COVID-19 pandemic. The nature of online learning makes it easier for dishonest behaviors, such as cheating or lying during lessons. We propose a new artificial intelligence - powered solution to help educators solve this rising problem for a fairer learning environment. We created a visual representation contrastive learning method with the MobileNetV2 network as the backbone to improve predictability from an unlabeled dataset which can be deployed on low power consumption devices. The experiment shows an accuracy of up to 59%, better than several previous research, proving the usability of this approach.

Smart Attendance System using Dlib Pre-Trained Neural Network

Recognizing and remembering various people is the most frequent task, which the human brain performs. With regard to this, the process of attendance becomes one of the hectic tasks, which requires subsequent modernization. The spread of COVID- 19 is also drastically increasing and are pushed to the situation of wearing mask the entire time. This brings in a situation of misidentifying the individuals and are also prone to impersonation in many official gatherings such as exams, meetings, etc. This cannot be decreased by unmasking their face in this pandemic situation just for the purpose of verification as it may lead to increase in COVID risk. Here, this research study implements a contactless face recognition system with a simple and smart database, which can take in any form of data as per the convenience. This system solves the above problem by making the face recognition smart using Histogram of Oriented Gradients (HOG) and Support Vector Machine (SVM) classifier. The main task of the system is to recognize the user's face (live) and automatically mark the time of recognition directly in the Google sheet along with the alphabets of P(Present), A(absent) or L(late) according to the given time range. This system makes effective use of google sheet for easy share ability, accessibility, and error free management. This can be used for number of purposes such as exam centers, schools, colleges, companies, hospitals and various other places in order to verify the people (contact less). © 2023 IEEE.

Stakeholders' Development: A Paradigm Shift of Human Resource Development (HRD)

Development of a nation is dependent over the development of children, which is further dependent over their parents and schools. However, in developing countries like Pakistan, the focus in schools is on the curriculum taught. But the development of a mother is generally ignored. The dire need is to identify the dimensions of mothers' development and its institutionalization so that the development of children and nation can be done systematically in the long run. The purpose of the research is to explore the factors that influence mothers development for further nurture of child and generation development. A qualitative methodology has been adopted to conduct the research. Thematic analysis and content analysis has been selected as a tool for exploring the factors. The factors explored through transcribed interviews are Language, Technology, Financial planning and control, Ethics, Decision making and critical thinking. The themes are, Mothers are the custodian of the entire family and children nurture, Mothers plays a pivotal role in children education and personality development, A Society can be generated by Mothers contribution as a mentor. It is concluded that the development of a child and generation depends upon the development of a mother based on the avenues (explored factors) where a mother needs to be developed in the modern world and particularly in a country like Pakistan.

Psychopathology & the nature of the Self

Psychopathology is the systematic study of abnormal psychological experience and includes the precise description, definition and categorisation of abnormal phenomena. In this lecture I will focus on the potential role of psychopathology as a means of revealing the underlying brain processes that make possible our experience of reality. I will examine phantom limb phenomenon, Charles Bonnet Syndrome, musical hallucinations and autoscopy to illustrate and develop my thesis. My ultimate aim is to demonstrate that the value of psychopathology is over and above the merely descriptive and that its value includes theorising about neural mechanisms.

Mental Health and Looking after Yourself: part one

There's so much research being done now on the impacts of COVID 19 psychosocially, in terms of mental health , politically, and economically. [...]how do you know when a normal dip or stressful time becomes something of clinical significance? Because the tricky part of depression, is once you're in it, it can be a lot harder to self-identify. When ideas of (*insert random intrusive death fantasy here*) are becoming a regular theme, not an occasional background thing you don't really notice, then it is time to take note. Which is an injustice, when you think that in many cases, assertive treatment of aggression can really restore so much quality of life.

Frontal Alpha Asymmetry and Negative Mood: A Cross-Sectional Study in Older and Younger Adults

Frontal alpha asymmetry (FAA) has been associated with emotional processing and affective psychopathology. Negative and withdrawal stimuli and behaviors have been related to high levels of right cortical activity, while positive and approach stimuli and behaviors have been related to increased left cortical activity. Inconsistent results in terms of depressive and anxious symptoms and their relationship to FAA have been previously observed, especially at older ages. Additionally, no studies to date have evaluated whether loneliness, a negative feeling, is related to FAA. Therefore, this study aimed (i) to compare FAA between younger and older adults and (ii) to investigate the possible relationships between loneliness, depressive and anxious symptomatology with FAA in young and older adults. Resting electroencephalogram recordings of 39 older (Mage = 70.51, SD = 7.12) and 57 younger adults (Mage = 22.54, SD = 3.72) were analyzed. Results showed greater left than right cortical activity for both groups and higher FAA for older than younger adults. FAA was not predicted by loneliness, depressive or anxious symptomatology as shown by regression analyses. Findings bring clarity about FAA patterns at different ages and open the discussion about the relationship between negative emotional processing and frontal cortical imbalances, especially at older ages.

Zika virus ‘harms baby brain collagen development’

Speed read New study helps understand effects of Zika virus on foetal brain development Vaccine progress continues, despite COVID-19 challenge But Aedes aegypti is adapting to new environments Zika virus can hamper vital collagen development in the brains of babies whose mothers were infected with the disease while pregnant, new research reveals, as the search for a vaccine continues. The research shows that a vaccine that aims to neutralise mature Zika virus particles could be effective, says co-author Ted Pierson, chief of the Laboratory of Viral Diseases at the National Institute of Allergy and Infectious Diseases in the United States. The mosquito is moving faster than epidemiologists expected and there are smaller outbreaks occurring in southern parts of Brazil. “Since Zika is not an endemic disease in these regions, the population has no natural defences against it,” Spilki warns.

The 43rd Annual Meeting of the Canadian College of Neuropsychopharmacology November 4, 2021

OVERVIEW OF EVENTS 10:30 am Opening of Meeting 10:45 am Opening Remarks - Dr. Jeff Daskalakis, CCNP President 10:50 am Introduction - Dr. Cecilia Flores, CCNP Vice-President 11:00 am CCNP 2020 Young Investigator Award Presentation Caroline Ménard, PhD, Department of Psychiatry & Neuroscience, Université Laval: "Sex-specific vascular alterations and biomarkers underlie stress responses in mice mirrored in human depression" 11:50 am CCNP Next Generation Awardee Andrea H. Pantoja Urban, MSc, Integrated Program in Neuroscience, McGill University: "Short and long-term effects of social defeat stress in adolescent female mice" 12:05 pm CCNP Next Generation Awardee Orna Issler, PhD, Department of Neuroscience, Mount Sinai:"The sex-specific role for long noncoding RNAs in depression: from genome-wide patterns to behavioral readout" 12:20 pm Lunch/Break 12:50 pm CCNP 2020 Heinz Lehmann Award Presentation Martin Alda, MD, FRCPC, Department of Psychiatry, Dalhousie University: "Personalized long-term treatment of bipolar disorder" 1:40 pm CCNP Next Generation Awardee Mikaela K Dimick, BA, Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health: "Cerebral blood flow and core mood symptoms in youth bipolar disorder: evidence for region-symptom specificity" 1:55 pm CCNP Next Generation Awardee Sneha Chenji, PhD, Department of Psychiatry & Pediatrics, University of Calgary: "The effect of rTMS treatment on cortico-striatal-thalamo-cortical (CSTC) circuit connectivity in Tourette's syndrome: a pilot study" 2:10 pm Break 2:20 pm CCNP 2020 Innovations in Neuropsychopharmacology Award Presentation Jeffrey Meyer, MD, PhD, FRCPC, Department of Psychiatry, University of Toronto: "Imaging markers of gliosis and monoamine oxidase in major depressive disorder: implications for personalized prevention and treatment" 3:10 pm CCNP Next Generation Awardee Jasmine D. Cakmak, MSc, Neuroscience, Western University: "The functional and structural consequences of aberrant microglial activity in major depressive disorder" 3:25 pm CCNP Next Generation Awardee Kayla D. Stone, PhD, Department of Psychiatry, University of Calgary: "Dorsolateral prefrontal cortex neurometabolite concentrations in pediatric mild traumatic brain injury" 3:40 pm Break 3:50 pm Keynote Speaker Rémi Quirion, OC, CQ, PhD, FRSC, Chief Scientist of Quebec, Ministry of Economy & Innovation: "A less well travelled road: from neuroscientist to chief scientist and then came COVID-19" 4:50 pm Closing Remarks - Dr. Cecilia Flores, CCNP Vice President Acknowledgments: In keeping with CMA guidelines, program content and selection of speakers are the responsibility of the planning committee. Methods: Here, we characterized the enduring changes in histone modifications in the NAcc of mice exposed to chronic social defeat stress (CSDS), a validated model for the study of depression-like behaviours that separates mouse populations into susceptible (SUS) and resilient (RES) based on a social interaction test (SIT). Tissue from the NAcc of control, SUS, and RES mice was collected either 24 hours or 4 weeks after the SIT and processed for histone profiling via mass spectrometry. From the Department of Psychiatry, University of Alberta, Edmonton, AB, Canada (Yap, Luki, S. Hanstock, Lirette, Zhaoa, Aitchison, Le Melledo);the Department of Medical Genetics, University of Alberta, Edmonton, AB, Canada (Aitchison);the Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada (Aitchison);the Edmonton Mood and Anxiety Disorders Program, University of Alberta Hospital, Edmonton, AB, Canada (Aitchison);the Department of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada (C. Hanstock, Seres);and the Royal Alexandra Hospital, Edmonton, AB, Canada (Shandro).

A Rights-Based Approach to Youth Inclusion in Public Health Policy

YOUTHS' RIGHT TO HEALTH-AFFIRMING SOCIAL CONTEXTS People are embedded within neighborhoods, communities, political atmospheres, and economic systems;these contexts determine living conditions such as access to quality education, employment with living wages, adequate and appropriate health care, affordable healthy food and physical recreation, and community support. Yet youths have inherent rights to health, enumerated by the UN Convention on the Rights of the Child.2 Among these are the rights to "the highest attainable standard of health" (Article 24), and to "a standard of living adequate for the child's physical, mental, spiritual, moral and social development" (Article 27). SOCIETY'S NEED FOR POSITIVE YOUTH DEVELOPMENT Aligned with the social determinants of health framework, which situates individuals' health outcomes within social contexts, PYD regards human development as a product of youths' internal assets functioning in tandem with their environmental resources and supports.4 As a strengths-based perspective, PYD maintains that all youths have internal and external assets that make their individual development and their contributions to society unique.5 Aligned with the UN Convention on the Rights ofthe Child, PYD insists that society is responsible for fostering environments where youths have the resources they need to thrive and, importantly, for involving youths as partners in shaping their world, as contribution is both a means and an end to PYD.5 Although favorable environmental contexts are essential for positive development, Yeager identifies four internal drives that help youths develop through adolescence5: (1) to stand out: o develop a personal identity;(2) to fit in: to develop a sense of connectedness;(3) to measure up: to develop competence and find ways to achieve;and (4) to take hold: to make commitments to particular goals, activities, and beliefs. "10 In response, Maine's Department of Health and Human Services announced the establishment of the Office of Population Health Equity (OPHE) within the Maine Center for Disease Control (MCDC) to collaborate within and beyond the MCDC to achieve health justice.11 The MCDC prioritizes youth participation through its funding to the Maine Youth Action Network (MYAN), which is composed of community-based, PYDguided programs that engage youths on issues of public health education, research, and policy.

AI podcasts for the summer

As with last summer, COVID-19 is still with us, but there is a semblance of what life was like before the pandemic. Here, we recommend AI podcasts from the past year that may inform, inspire or entertain, as we get an opportunity to travel or take time away from regular activities.

GLOBAL RESEARCH: THE JOURNAL OF THE HEALTH VISITORS' ASSOCIATION

The study could help policymakers amend interventions that improve vaccine confidence, as well as help public health organisations better tailor their communications. bit.ly/JSTP_behaviour_ vaccine_hesitancy ITALY AIR POLLUTION LINKED TO HEIGHTENED RISK OF AUTOIMMUNE DISEASE Long-term exposure to air pollution may be linked to an increased risk of autoimmune disease, including rheumatoid arthritis, research published in RMD Open has found. Long-term exposure to traffic and industrial air pollutants was associated with an approximately 40% higher risk of rheumatoid arthritis, a 20% higher risk of inflammatory bowel disease, and a 15% higher risk of connective tissue diseases. bit.ly/RMDO_pollution_autoimmune_disease NORWAY FAMILY-BASED TREATMENT OF CHILDREN WITH SEVERE OBESITY IMPROVES WEIGHT LOSS Family-based behavioural social facilitation treatment (FBSFT), delivered at an obesity outpatient clinic, improved weight-related outcomes significantly more than treatment as usual (TAU) among children aged six to 18 years with severe obesity, a study has found. Children receiving FBSFT reduced their body mass index standard deviation score and percentage above the International Obesity Task Force cut-off for overweight significantly more than children enrolled in TAU. bit.ly/CO_family_children_obesity NORWAY WOMEN EXPOSED TO ADVERSE CHILDHOOD EXPERIENCES MORE LIKELY TO DEVELOP MS Childhood trauma could be linked to an increased risk of women developing multiple sclerosis (MS) later in life, research suggests.

Exploring the frontiers in reality-enhanced service communication: from augmented and virtual reality to neuro-enhanced reality

Purpose>The authors explore neuro-enhanced reality (NeR) as a novel approach for enhancing service communication between customers, frontline employees, and service organizations that extends beyond current state-of-the-art approaches based on augmented reality (AR) and virtual reality (VR) technologies.Design/methodology/approach>The authors first take stock of research on reality-enhanced service communication with AR and VR, then complement these insights with emerging neuroscientific research to conceptualize how NeR enables innovative forms of service communication. On this basis, the authors develop a research agenda to guide the future study and managerial exploitation of NeR.Findings>AR and VR already offer unique affordances for digital-to-physical communication, but these can be extended with NeR. Specifically, NeR supports neuro-to-digital and digital-to-neuro communication based on neuroimaging (e.g. controlling digital content through thought) and neurostimulation (e.g. eliciting brain responses based on digital content). This provides a basis for outlining possible applications of NeR across service settings.Originality/value>The authors advance knowledge on reality-enhanced service communication with AR and VR, whilst also demonstrating how neuroscientific research can be extended from understanding brain activity to generating novel service interactions.

A ResNet50-Based Approach to Detect Multiple Types of Knee Tears Using MRIs

The recommended tool for assessing knee injury is magnetic resonance imaging (MRI). However, knee MRI interpretation takes time and is vulnerable to clinical errors and inconsistency. A deep learning automated technique for reading knee MRI might help physicians identify high-risk patients and make diagnosis easier. In this study, we have proposed a deep learning-based model to detect ACL and meniscus tears and other knee abnormalities. At its core, this model is based on the ResNet50 transfer learning technique. In this paper, we have focused to present a ResNet50-based model for detecting different knee problems using MRIs. The best models for every option achieved the objectives that were probably similar. The models were developed using 18, 3, and 1 slice. These models’ outcomes were rather startling. The AUC findings obtained with 1 slice per MRI exam were equivalent to those obtained with 18 and 3 slices and, in some cases, were significantly better. The dataset used in this model is from Stanford University. We trained this model in three different settings of MRI slices (18, 3, and 1). The best results that our models were able to achieve were when trained using 3 slices of each MRI sample. The area under the receiver operating characteristic curve, or AUC curve, values that our best models were able to achieve for detecting ACL, meniscus, and other knee abnormalities are 0.87, 0.82, and 0.90, respectively. The results of our models are comparable to some state-of-the-art models. These models are very fast and efficient to train and hence will be helpful to doctors for making an effective and fast diagnosis based on knee MRIs.

NEUROPSYCHOLOGIE A JEJÍ PŘESAH DO JINÝCH VĚD - LITERÁRNÍ RECENZE

In the form of a literary review, this work set itself the task of examining the professional literature published on this topic and selecting representative literary sources that document the interdisciplinary nature of this scientific discipline. Do této kategorie spadá mimo jiné publikace Ratio of serum pro BDNF to BDNF and its association with cognitive performance and brain morphometry in mild cognitive impairment, autorů Čechová a kol. (2020) Gray matter atrophy, but not vascular brain injury is related to cognitive impairment in patients with heart failure, článek Comparison of brain atrophy and cognitive performance in individuals with low and high cardiovascular riskautorů Restrepo a kol. (2020) publikovali v časopise Archives of clinical neuropsychology: the official journal of the National Academy of Neuropsychologists studii s názvem Return on Investment and Value Research in Neuropsychology: A Call to Arms.

'Communication is key' to reduce suicide risk after cancer diagnosis

A separate meta-analysis of 28 studies by Heinrich and colleagues, published in March in Nature Medicine, showed an 85% higher suicide rate among patients with cancer compared with the general population, with strong correlations of risk with cancer prognosis and stage, time since diagnosis and geographic region. "Suicide is a huge problem in America, and we will most likely see a significant increase since the COVID-19 pandemic began," Nosayaba Osazuwa-Peters, PhD, BDS, MPH, CHES, member of Duke Cancer Institute and assistant professor in head and neck surgery and communication sciences and population health sciences at Duke University School of Medicine, told Healio ;HemOnc Today. Osazuwa-Peters and colleagues reported even larger differences in suicide risk based on area of residence among patients with head and neck cancer. The cross-sectional study, published last year in JAMA Otolaryngology-Head & Neck Surgery, included data from the SEL1 - https://media.proquest.com/media/hms/PFT/1/uf1BN?_a=ChgyMDIyMDYwNzEyMjczMzc0NToxNzE4NzYSBTg4MjU5GgpPTkVfU0VBUkNIIg4xNTguMTExLjIzNi4xOSoFMjkzMjUyCjI2NzMzODQ4OTU6DURvY3VtZW50SW1hZ2VCATBSBk9ubGluZVoCRlRiA1BGVGoKMjAyMi8wNS8xMHIKMjAyMi8wNS8xMHoAggEyUC0xMDA3MDY3LTI2NzI0LUNVU1RPTUVSLTEwMDAwMjU1LzEwMDAwMTU1LTQ3MzU0MDmSAQZPbmxpbmXKAW9Nb3ppbGxhLzUuMCAoV2luZG93cyBOVCAxMC4wOyBXaW42NDsgeDY0KSBBcHBsZVdlYktpdC81MzcuMzYgKEtIVE1MLCBsaWtlIEdlY2tvKSBDaHJvbWUvMTAyLjAuMC4wIFNhZmFyaS81MzcuMzbSARJTY2hvbGFybHkgSm91cm5hbHOaAgdQcmVQYWlkqgIrT1M6RU1TLU1lZGlhTGlua3NTZXJ2aWNlLWdldE1lZGlhVXJsRm9ySXRlbcoCE0dlbmVyYWwgSW5mb3JtYXRpb27SAgFZ8gIA%2BgIBToIDA1dlYooDHENJRDoyMDIyMDYwNzEyMjczMzc0NTo3NTEyNTQ%3D&_s=9mfYeas7Ijzr6FwcjkLk0av32yU%3D

Prediction of Medical Conditions Using Machine Learning Approaches: Alzheimer’s Case Study

Alzheimer’s Disease (AD) is a highly prevalent condition and most of the people suffering from it receive the diagnosis late in the process. The diagnosis is currently established following an evaluation of the protein biomarkers in cerebrospinal fluid (CSF), brain imaging, cognitive tests, and the medical history of the individuals. While diagnostic tools based on CSF collections are invasive, the tools used for acquiring brain scans are expensive. Taking these into account, an early predictive system, based on Artificial Intelligence (AI) approaches, targeting the diagnosis of this condition, as well as the identification of lead biomarkers becomes an important research direction. In this survey, we review the state-of-the-art research on machine learning (ML) techniques used for the detection of AD and Mild Cognitive Impairment (MCI). We attempt to identify the most accurate and efficient diagnostic approaches, which employ ML techniques and therefore, the ones most suitable to be used in practice. Research is still ongoing to determine the best biomarkers for the task of AD classification. At the beginning of this survey, after an introductory part, we enumerate several available resources, which can be used to build ML models targeting the diagnosis and classification of AD, as well as their main characteristics. After that, we discuss the candidate markers which were used to build AI models with the best results in terms of diagnostic accuracy, as well as their limitations.