Listing 1 - 9 of 9 |
Sort by
|
Choose an application
Attachment is a biologically emotion regulation based system guiding cognitive and emotional processes with respect to intimate and significant relationships. Secure relationships promote infants’ exploration of the world and expand their mastery of the environment. Adverse attachment experiences like, maltreatment, loss, and separation have long been known to have enduring unfavorable effects on human mental health. Research on the neurobiological basis of attachment started with animal studies focusing on emotional deprivation and its behavioral, molecular and endocrine consequences. The present book presents an interdisciplinary synthesis of existing knowledge and new perspectives on the human neuroscience of attachment, showing the tremendous development of this field. The following chapters include innovative studies that are representative of the broad spectrum of current approaches. These involve both differing neurobiological types of substrates using measures like fMRI, EEG, psychophysiology, endocrine parameters, and genetic polymorphisms, as well as psychometric approaches to classify attachment patterns in individuals. The findings we have acquired in the meanwhile on the neural substrates of attachment in healthy subjects lay the foundation of studies with clinical groups. The final section of the book addresses evidence on changes in the functioning of these neural substrates in psychopathology.
fMRI --- Neuroscience --- social cognition --- Brain activity --- EEG --- Genetics --- Attachment --- Attachment representation --- Psychopathology --- Neurophysiology --- fMRI --- Neuroscience --- social cognition --- Brain activity --- EEG --- Genetics --- Attachment --- Attachment representation --- Psychopathology --- Neurophysiology
Choose an application
Attachment is a biologically emotion regulation based system guiding cognitive and emotional processes with respect to intimate and significant relationships. Secure relationships promote infants’ exploration of the world and expand their mastery of the environment. Adverse attachment experiences like, maltreatment, loss, and separation have long been known to have enduring unfavorable effects on human mental health. Research on the neurobiological basis of attachment started with animal studies focusing on emotional deprivation and its behavioral, molecular and endocrine consequences. The present book presents an interdisciplinary synthesis of existing knowledge and new perspectives on the human neuroscience of attachment, showing the tremendous development of this field. The following chapters include innovative studies that are representative of the broad spectrum of current approaches. These involve both differing neurobiological types of substrates using measures like fMRI, EEG, psychophysiology, endocrine parameters, and genetic polymorphisms, as well as psychometric approaches to classify attachment patterns in individuals. The findings we have acquired in the meanwhile on the neural substrates of attachment in healthy subjects lay the foundation of studies with clinical groups. The final section of the book addresses evidence on changes in the functioning of these neural substrates in psychopathology.
fMRI --- Neuroscience --- social cognition --- Brain activity --- EEG --- Genetics --- Attachment --- Attachment representation --- Psychopathology --- Neurophysiology
Choose an application
Attachment is a biologically emotion regulation based system guiding cognitive and emotional processes with respect to intimate and significant relationships. Secure relationships promote infants’ exploration of the world and expand their mastery of the environment. Adverse attachment experiences like, maltreatment, loss, and separation have long been known to have enduring unfavorable effects on human mental health. Research on the neurobiological basis of attachment started with animal studies focusing on emotional deprivation and its behavioral, molecular and endocrine consequences. The present book presents an interdisciplinary synthesis of existing knowledge and new perspectives on the human neuroscience of attachment, showing the tremendous development of this field. The following chapters include innovative studies that are representative of the broad spectrum of current approaches. These involve both differing neurobiological types of substrates using measures like fMRI, EEG, psychophysiology, endocrine parameters, and genetic polymorphisms, as well as psychometric approaches to classify attachment patterns in individuals. The findings we have acquired in the meanwhile on the neural substrates of attachment in healthy subjects lay the foundation of studies with clinical groups. The final section of the book addresses evidence on changes in the functioning of these neural substrates in psychopathology.
fMRI --- Neuroscience --- social cognition --- Brain activity --- EEG --- Genetics --- Attachment --- Attachment representation --- Psychopathology --- Neurophysiology
Choose an application
Traditionally, market research has been linked to data obtained from respondents' self-reporting using a variety of methods such as questionnaires, focus groups and in-depth interviews. However, the factors that influence decision-making in consumer behaviour are sometimes beyond our consciousness and cannot be detected with more traditional research methods. To do this, a new field of study has emerged halfway between behavioural psychology, economics and consumer behaviour. It is called neuromarketing. The objective of this technique is to capture the brain activity generated by a response to a commercial stimulus using different neuroscientific tools. From this perspective, the aim of this final thesis is firstly to analyse the concept of neuromarketing in order to better understand it, but also to know concretely what it encompasses. The opportunities and threats of this technique will be highlighted, as well as the expectations. Next, it will be interesting to define the influence that neuromarketing has on the methodology used and the relationship it has with more traditional techniques. Is it complementary, dependent or a substitute for them? Finally, the circumstances in which neuromarketing is more effective will be revealed. To reach this result, a review of the scientific literature was first carried out in order to immerse oneself in the theoretical concepts. Then 11 experts in the fields of neuromarketing but also enterprises in the field of fast-moving consumer goofs (FMCG) were interviewed according to a qualitative study with semi-directive interviews. The opinions were compiled and will be critically analysed and compared to the theory in the last part of this work with the software Nvivo. For example, this research has revealed the following. The sample size is generally smaller in neuromarketing and may lead to a failure to validate and result in a non-representative sample. The cost of these studies is currently still very high and the most efficient devices are not easily accessible. But this will be a challenge for the future of neuromarketing, it is hard to democratize and become more accessible, everywhere for everyone, for example by means of smaller embedded software. To conclude, I would say that neuromarketing is inseparable from more traditional research methods. They complement each other and guarantee an overview by bringing different information from different tools. This can therefore represent a contribution if these two entities do not converge in the same direction.
Neuromarketing --- Consumer neuroscience --- Neuroimaging --- Brain activity --- Cognitive responses --- Decision-making process --- Emotions --- Sciences économiques & de gestion > Marketing
Choose an application
Why does the human brain insist on interpreting the world and constructing a narrative? In this ground-breaking work, Michael S. Gazzaniga, one of the world's foremost cognitive neuroscientists, shows how our mind and brain accomplish the amazing feat of constructing our past-a process clearly fraught with errors of perception, memory, and judgment. By showing that the specific systems built into our brain do their work automatically and largely outside of our conscious awareness, Gazzaniga calls into question our everyday notions of self and reality. The implications of his ideas reach deeply into the nature of perception and memory, the profundity of human instinct, and the ways we construct who we are and how we fit into the world around us.Over the past thirty years, the mind sciences have developed a picture not only of how our brains are built but also of what they were built to do. The emerging picture is wonderfully clear and pointed, underlining William James's notion that humans have far more instincts than other animals. Every baby is born with circuits that compute information enabling it to function in the physical world. Even what helps us to establish our understanding of social relations may have grown out of perceptual laws delivered to an infant's brain. Indeed, the ability to transmit culture-an act that is only part of the human repertoire-may stem from our many automatic and unique perceptual-motor processes that give rise to mental capacities such as belief and culture.Gazzaniga explains how the mind interprets data the brain has already processed, making "us" the last to know. He shows how what "we" see is frequently an illusion and not at all what our brain is perceiving. False memories become a part of our experience; autobiography is fiction. In exploring how the brain enables the mind, Gazzaniga points us toward one of the greatest mysteries of human evolution: how we become who we are.
Neuropsychology. --- Brain --- Neurophysiology --- Psychophysiology --- Evolution. --- Developmental neurobiology. --- Memory. --- academic. --- adaptation. --- autobiographical. --- belief. --- brain activity. --- brain development. --- brain. --- conscious. --- consciousness. --- construction. --- cultural studies. --- decision making. --- experiments. --- faith. --- false memories. --- human brain. --- human evolution. --- human experience. --- human mind. --- human nature. --- judgment. --- know yourself. --- lab work. --- memory. --- mental development. --- neurology. --- neuroscience. --- neuroscientist. --- perception. --- scholarly. --- self esteem. --- self knowledge. --- social studies.
Choose an application
This Special Issue aims to attract the latest research and findings in the design, development and experimentation of healthcare-related technologies. This includes, but is not limited to, using novel sensing, imaging, data processing, machine learning, and artificially intelligent devices and algorithms to assist/monitor the elderly, patients, and the disabled population.
Information technology industries --- Computer science --- tremor --- essential tremor --- ataxia --- finger–nose–finger test --- H&E --- decellularization --- liver --- tissue engineering --- semantic segmentation --- convolutional neural networks --- segmentation --- lung --- CT image --- U-Net --- ResNet-34 --- BConvLSTM --- magnetic resonance images --- brain tissue segmentation --- multi-scale feature learning --- multi-branch pooling --- multi-branch dense prediction --- multi-branch output --- delay-and-sum (DAS) --- delay-multiply-and-sum (DMAS) --- signal coherence --- power doppler detection --- plane-wave (PW) imaging --- complementary subset transmit (CST) --- coherent plane-wave compounding (CPWC) --- robotic cell manipulation --- mechanical properties --- elasticity measurement --- viscosity measurement --- cell mechanics --- hemoglobin sensor --- bladder irrigation monitor --- absorption near infrared --- artificial intelligence --- bubble detection --- exercise --- EEG --- EMG --- ECG --- brain activity --- age --- exercise habit --- tinnitus --- auditory discrimination therapy --- EEG evaluation --- event-related synchronization --- event-related desynchronization --- convolutional neural network --- image registration --- cycle constraint --- multimodal features --- self-supervision --- rigid alignment --- magnetic resonance fingerprinting --- echo-planar imaging --- T1 and T2* relaxation times --- denoising convolutional neural network --- self-attention --- feature pyramid network --- image processing --- object detection --- blind --- braille system --- 3D body shapes --- body weights and measures --- postpartum period --- pregnancy period --- anthropometry --- machine learning --- vital sign --- invasive blood pressure --- feature engineering --- hypotension --- arterial hypotension --- tremor --- essential tremor --- ataxia --- finger–nose–finger test --- H&E --- decellularization --- liver --- tissue engineering --- semantic segmentation --- convolutional neural networks --- segmentation --- lung --- CT image --- U-Net --- ResNet-34 --- BConvLSTM --- magnetic resonance images --- brain tissue segmentation --- multi-scale feature learning --- multi-branch pooling --- multi-branch dense prediction --- multi-branch output --- delay-and-sum (DAS) --- delay-multiply-and-sum (DMAS) --- signal coherence --- power doppler detection --- plane-wave (PW) imaging --- complementary subset transmit (CST) --- coherent plane-wave compounding (CPWC) --- robotic cell manipulation --- mechanical properties --- elasticity measurement --- viscosity measurement --- cell mechanics --- hemoglobin sensor --- bladder irrigation monitor --- absorption near infrared --- artificial intelligence --- bubble detection --- exercise --- EEG --- EMG --- ECG --- brain activity --- age --- exercise habit --- tinnitus --- auditory discrimination therapy --- EEG evaluation --- event-related synchronization --- event-related desynchronization --- convolutional neural network --- image registration --- cycle constraint --- multimodal features --- self-supervision --- rigid alignment --- magnetic resonance fingerprinting --- echo-planar imaging --- T1 and T2* relaxation times --- denoising convolutional neural network --- self-attention --- feature pyramid network --- image processing --- object detection --- blind --- braille system --- 3D body shapes --- body weights and measures --- postpartum period --- pregnancy period --- anthropometry --- machine learning --- vital sign --- invasive blood pressure --- feature engineering --- hypotension --- arterial hypotension
Choose an application
Eating Disorders have traditionally been considered apart from public health concerns about increasing obesity. It is evident that these problems are, however, related in important ways. Comorbid obesity and eating disorder is increasing at a faster rate than either obesity or eating disorders alone and one in five people with obesity also presents with an Eating Disorder, commonly but not limited to Binge Eating Disorder. New disorders have emerged such as normal weight or Atypical Anorexia Nervosa. However research and practice too often occurs in parallel with a failure to understand the weight disorder spectrum and consequences of co-morbidity that then contributes to poorer outcomes for people living with a larger size and an Eating Disorder. Urgently needed are trials that will inform more effective assessment, treatment and care where body size and eating disorder symptoms are both key to the research question.
dietary patterns --- family functioning --- binge-eating disorder --- eating disorders --- eating disorders-related symptoms --- mothers --- Bulimia Nervosa --- children --- menstrual dysfunction --- young children --- prevention --- usability study --- bulimia nervosa --- adolescents --- brain activity --- para athlete --- women --- treatment --- exercise --- students --- nutrient deficiency --- feeding practices --- food industry --- nurse --- loss of control eating --- body satisfaction --- frequency bands --- BMI --- biofeedback --- BED --- orthorexia nervosa --- binge eating disorder --- eating behavior --- psychometric --- EEG-Neurofeedback --- NMUR2 --- school setting --- addictive-like eating --- executive function --- health education --- engagement --- low energy availability --- binge eating --- dieting --- bone mineral density --- eating behaviour --- energy availability --- obesity --- visceral adipose tissue --- binge-type eating --- International Classification of Diseases --- athlete --- EEG --- weight loss --- obesity risk --- weight --- nucleus accumbens --- fMRI-Neurofeedback --- food addiction --- nutrition --- E-Mental Health --- ventral tegmental area --- impulsivity --- adolescent --- questionnaire --- Female Athlete Triad --- feeding behavior --- online health intervention --- event-related potential --- the Roma --- psychology --- physical fitness --- bulimia --- cultural features --- overweight --- spinal cord injury --- energy intake --- food environment --- socioecological --- Diagnostic and Statistical Manual of Mental Disorders --- bariatric surgery --- P3 --- cognition --- females --- physical activity --- Relative Energy Deficiency in Sports (RED-S) --- lifestyle factors --- food policy --- neuromedin U receptor 2 --- psychophysiology
Choose an application
This Special Issue aims to attract the latest research and findings in the design, development and experimentation of healthcare-related technologies. This includes, but is not limited to, using novel sensing, imaging, data processing, machine learning, and artificially intelligent devices and algorithms to assist/monitor the elderly, patients, and the disabled population.
Information technology industries --- Computer science --- tremor --- essential tremor --- ataxia --- finger–nose–finger test --- H&E --- decellularization --- liver --- tissue engineering --- semantic segmentation --- convolutional neural networks --- segmentation --- lung --- CT image --- U-Net --- ResNet-34 --- BConvLSTM --- magnetic resonance images --- brain tissue segmentation --- multi-scale feature learning --- multi-branch pooling --- multi-branch dense prediction --- multi-branch output --- delay-and-sum (DAS) --- delay-multiply-and-sum (DMAS) --- signal coherence --- power doppler detection --- plane-wave (PW) imaging --- complementary subset transmit (CST) --- coherent plane-wave compounding (CPWC) --- robotic cell manipulation --- mechanical properties --- elasticity measurement --- viscosity measurement --- cell mechanics --- hemoglobin sensor --- bladder irrigation monitor --- absorption near infrared --- artificial intelligence --- bubble detection --- exercise --- EEG --- EMG --- ECG --- brain activity --- age --- exercise habit --- tinnitus --- auditory discrimination therapy --- EEG evaluation --- event-related synchronization --- event-related desynchronization --- convolutional neural network --- image registration --- cycle constraint --- multimodal features --- self-supervision --- rigid alignment --- magnetic resonance fingerprinting --- echo-planar imaging --- T1 and T2* relaxation times --- denoising convolutional neural network --- self-attention --- feature pyramid network --- image processing --- object detection --- blind --- braille system --- 3D body shapes --- body weights and measures --- postpartum period --- pregnancy period --- anthropometry --- machine learning --- vital sign --- invasive blood pressure --- feature engineering --- hypotension --- arterial hypotension
Choose an application
This Special Issue aims to attract the latest research and findings in the design, development and experimentation of healthcare-related technologies. This includes, but is not limited to, using novel sensing, imaging, data processing, machine learning, and artificially intelligent devices and algorithms to assist/monitor the elderly, patients, and the disabled population.
tremor --- essential tremor --- ataxia --- finger–nose–finger test --- H&E --- decellularization --- liver --- tissue engineering --- semantic segmentation --- convolutional neural networks --- segmentation --- lung --- CT image --- U-Net --- ResNet-34 --- BConvLSTM --- magnetic resonance images --- brain tissue segmentation --- multi-scale feature learning --- multi-branch pooling --- multi-branch dense prediction --- multi-branch output --- delay-and-sum (DAS) --- delay-multiply-and-sum (DMAS) --- signal coherence --- power doppler detection --- plane-wave (PW) imaging --- complementary subset transmit (CST) --- coherent plane-wave compounding (CPWC) --- robotic cell manipulation --- mechanical properties --- elasticity measurement --- viscosity measurement --- cell mechanics --- hemoglobin sensor --- bladder irrigation monitor --- absorption near infrared --- artificial intelligence --- bubble detection --- exercise --- EEG --- EMG --- ECG --- brain activity --- age --- exercise habit --- tinnitus --- auditory discrimination therapy --- EEG evaluation --- event-related synchronization --- event-related desynchronization --- convolutional neural network --- image registration --- cycle constraint --- multimodal features --- self-supervision --- rigid alignment --- magnetic resonance fingerprinting --- echo-planar imaging --- T1 and T2* relaxation times --- denoising convolutional neural network --- self-attention --- feature pyramid network --- image processing --- object detection --- blind --- braille system --- 3D body shapes --- body weights and measures --- postpartum period --- pregnancy period --- anthropometry --- machine learning --- vital sign --- invasive blood pressure --- feature engineering --- hypotension --- arterial hypotension
Listing 1 - 9 of 9 |
Sort by
|