Morten Kringelbach
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Morten Kringelbach
Morten L Kringelbach is a professor of neuroscience at University of Oxford, UK and Aarhus University, Denmark. He is the director of the 'Centre for Eudaimonia and Human Flourishing', fellow of Linacre College, Oxford and board member of the Empathy Museum. Research overview Kringelbach has made contributions to a range of topics within neuroscience using neuroimaging, deep brain stimulation and whole-brain modelling. His research is focused on reverse-engineering the human brain and in particular he has identified some of the evolutionary principles and heuristics of ''teleological computation'' enabling us to survive and thrive, which depend on intact human brain systems related to emotion, pleasure and eudaimonia. Together with Kent Berridge he has identified brain mechanisms underlying the reward system and identified a network of hedonic hotspots essential for the fundamental ''pleasure cycle'' of 'wanting', 'liking' and learning. In a large series of neuroimaging stud ...
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Copenhagen
Copenhagen ( or .; da, København ) is the capital and most populous city of Denmark, with a proper population of around 815.000 in the last quarter of 2022; and some 1.370,000 in the urban area; and the wider Copenhagen metropolitan area has 2,057,142 people. Copenhagen is on the islands of Zealand and Amager, separated from Malmö, Sweden, by the Øresund strait. The Øresund Bridge connects the two cities by rail and road. Originally a Viking fishing village established in the 10th century in the vicinity of what is now Gammel Strand, Copenhagen became the capital of Denmark in the early 15th century. Beginning in the 17th century, it consolidated its position as a regional centre of power with its institutions, defences, and armed forces. During the Renaissance the city served as the de facto capital of the Kalmar Union, being the seat of monarchy, governing the majority of the present day Nordic region in a personal union with Sweden and Norway ruled by the Danis ...
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Kent Berridge
Kent C. Berridge (born 1957) is an American academic, currently working as a professor of psychology ( biopsychology) and neuroscience at the University of Michigan. Berridge was a joint winner of the 2018 Grawemeyer Award for Psychology. Early life and education Berridge was born in 1957. Berridge earned a Bachelor of Science from the University of California, Davis in 1979, followed by a PhD from the University of Pennsylvania in 1983. Research Berridge conducts research relating to brain systems of motivation, affect, reward “liking”, reward “wanting”, emotion, fear, pleasure, drug addiction, eating disorders, and decision utility. He also studies natural syntactical chains of behavior (e.g. grooming; taste response patterns) in animals with colleague Dr. J. Wayne Aldridge. With Dr. Piotr Winkielman, he has investigated the issue of unconscious emotion in humans. Liking Berridge is known for his work on the brain systems for pleasure (“liking”). Using an assay f ...
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FMRI
Functional magnetic resonance imaging or functional MRI (fMRI) measures brain activity by detecting changes associated with blood flow. This technique relies on the fact that cerebral blood flow and neuronal activation are coupled. When an area of the brain is in use, blood flow to that region also increases. The primary form of fMRI uses the blood-oxygen-level dependent (BOLD) contrast, discovered by Seiji Ogawa in 1990. This is a type of specialized brain and body scan used to map neural activity in the brain or spinal cord of humans or other animals by imaging the change in blood flow (hemodynamic response) related to energy use by brain cells. Since the early 1990s, fMRI has come to dominate brain mapping research because it does not involve the use of injections, surgery, the ingestion of substances, or exposure to ionizing radiation. This measure is frequently corrupted by noise from various sources; hence, statistical procedures are used to extract the underlying signal. T ...
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Functional Neuroimaging
Functional neuroimaging is the use of neuroimaging technology to measure an aspect of brain function, often with a view to understanding the relationship between activity in certain brain areas and specific mental functions. It is primarily used as a research tool in cognitive neuroscience, cognitive psychology, neuropsychology, and social neuroscience. Overview Common methods of functional neuroimaging include * Positron emission tomography (PET) * Functional magnetic resonance imaging (fMRI) * Electroencephalography (EEG) * Magnetoencephalography (MEG) * Functional near-infrared spectroscopy (fNIRS) * Single-photon emission computed tomography (SPECT) * Functional ultrasound imaging (fUS) PET, fMRI, fNIRS and fUS can measure localized changes in cerebral blood flow related to neural activity. These changes are referred to as ''activations''. Regions of the brain which are activated when a subject performs a particular task may play a role in the computational neuroscience, n ...
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Diffusion Tensor Imaging
Diffusion-weighted magnetic resonance imaging (DWI or DW-MRI) is the use of specific MRI sequences as well as software that generates images from the resulting data that uses the diffusion of water molecules to generate contrast in MR images. It allows the mapping of the diffusion process of molecules, mainly water, in biological tissues, in vivo and non-invasively. Molecular diffusion in tissues is not random, but reflects interactions with many obstacles, such as macromolecules, fibers, and membranes. Water molecule diffusion patterns can therefore reveal microscopic details about tissue architecture, either normal or in a diseased state. A special kind of DWI, diffusion tensor imaging (DTI), has been used extensively to map white matter tractography in the brain. Introduction In diffusion weighted imaging (DWI), the intensity of each image element (voxel) reflects the best estimate of the rate of water diffusion at that location. Because the mobility of water is driven by t ...
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Gustavo Deco
Gustavo Deco is an Argentinian and Italian professor and scientist. He serves as Research Professor at the Catalan Institution for Research and Advanced Studies and Full Professor (Catedratico) at the Pompeu Fabra University, where he is Director of the Center of Brain and Cognition and head of the Computational Neuroscience Group. In 2001 Deco was awarded the international prize of Siemens "Inventor of the Year" for his contributions in statistical learning, models of visual perception, and fMRI based diagnosis of neuropsychiatric diseases.. Training Deco holds three doctorates in interrelated disciplines. A Ph.D. in physics from the National University of Rosario (Argentina) (1987), a habilitation in Computer Science from the Technical University of Munich (1997), and a PhD in psychology from the Ludwig Maximilian University of Munich (2001). These degrees were obtained whilst holding a number of research posts. In 1987, he held a post-doctoral fellowship at the University of Bor ...
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