Dr. Christopher deCharms is a neuroscientist, author, and inventor. Currently, Dr. deCharms is the founder and CEO of Brainful, a life-sciences companies focused on neurotechnology, including technology based on imaging methods that allow people to watch the activation of their own brains 'live' using functional magnetic resonance imaging (fMRI).
deCharms wrote the book Two Views of Mind, [1] with the 14th Dalai Lama, Tenzin Gyatso. The book included collaborations with a number of meditators and lamas, exploring how the approaches of the two traditions of Western Cognitive Neuroscience and Asian Introspective Meditation can be unified, and whether it is possible to use neuroscience to create new approaches to meditation.
"Two Views of Mind" attempts to begin building a scientific basis for the effective application of technology to invoke, on-demand, the effects of deep meditation which would allow people to reach mental states previously attainable only by those with many years of focused training. Dr. deCharms has since gone on to develop and patent related technologies, described below.
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DeCharms invented and patented the use of brain imaging for someone to visualize the functioning of their own brain in real time using fMRI , creating the new academic field of real-time neuroimaging-based training along with collaborators from around the world. He has developed a set of technologies allowing patients, physicians, researchers, and subjects to visualize and control the functioning of the brain using non-invasive methods based on real-time functional magnetic resonance imaging (rtfMRI). An overview of this field, applications of real-time functional brain imaging, is provided in Dr. deCharms' TED talk. DeCharms started his research career in neurophysiology as a graduate student and later postdoctoral researcher in the laboratory of Michael Merzenich at the UCSF Keck Center for Integrative Neuroscience. This work included recording patterns of brain activation from multiple locations in the brain, and how these patterns of activation underlie perception, experience, and learning. This has led to over three dozen published USPTO patent disclosures and multiple issued US patents by Dr. deCharms including foundational patents US-6996261, US-7567693, US-9241665 and others, https://patents.justia.com/patent/20160267809.
DeCharms and a team of collaborative researchers have explored whether people can learn to control patterns of activation taking place inside their own brains. It had not previously been possible to non-invasively measure brain activation in real-time using neuroimaging, but recent advances in computation and neuroimaging have made this a reality using rtfMRI.
Subjects' brain activation patterns are measured using real-time fMRI as the subjects watch from inside the scanner using virtual reality goggles, and subjects are trained to control the patterns of activation inside their own brain. This in turn leads to changes in the subjects' mental experiences. For example, subjects have learned to control activation in brain regions associated with pain, and they report a corresponding decrease in their levels of pain. DeCharms' team coined the term Neuroimaging Therapy, in use to describe this approach.
Research on rtfMRI-based training has been published in the scientific literature and has also been broadly covered in the popular press including The New York Times, [2] BBC, NPR, Wired, Technology Review. [3] This research has been conducted at Stanford University and more recently at Omneuron's 3T MRI Research Center in Menlo Park, California through funding from the National Institutes of Health.
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.
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.
The first neuroimaging technique ever is the so-called 'human circulation balance' invented by Angelo Mosso in the 1880s and able to non-invasively measure the redistribution of blood during emotional and intellectual activity. Then, in the early 1900s, a technique called pneumoencephalography was set. This process involved draining the cerebrospinal fluid from around the brain and replacing it with air, altering the relative density of the brain and its surroundings, to cause it to show up better on an x-ray, and it was considered to be incredibly unsafe for patients. A form of magnetic resonance imaging (MRI) and computed tomography (CT) were developed in the 1970s and 1980s. The new MRI and CT technologies were considerably less harmful and are explained in greater detail below. Next came SPECT and PET scans, which allowed scientists to map brain function because, unlike MRI and CT, these scans could create more than just static images of the brain's structure. Learning from MRI, PET and SPECT scanning, scientists were able to develop functional MRI (fMRI) with abilities that opened the door to direct observation of cognitive activities.
The insular cortex is a portion of the cerebral cortex folded deep within the lateral sulcus within each hemisphere of the mammalian brain.
In psycholinguistics, language processing refers to the way humans use words to communicate ideas and feelings, and how such communications are processed and understood. Language processing is considered to be a uniquely human ability that is not produced with the same grammatical understanding or systematicity in even human's closest primate relatives.
Neuroplasticity, also known as neural plasticity, or brain plasticity, is the ability of neural networks in the brain to change through growth and reorganization. It is when the brain is rewired to function in some way that differs from how it previously functioned. These changes range from individual neuron pathways making new connections, to systematic adjustments like cortical remapping. Examples of neuroplasticity include circuit and network changes that result from learning a new ability, environmental influences, practice, and psychological stress.
Neuroimaging is the use of quantitative (computational) techniques to study the structure and function of the central nervous system, developed as an objective way of scientifically studying the healthy human brain in a non-invasive manner. Increasingly it is also being used for quantitative studies of brain disease and psychiatric illness. Neuroimaging is a highly multidisciplinary research field and is not a medical specialty.
The posterior cingulate cortex (PCC) is the caudal part of the cingulate cortex, located posterior to the anterior cingulate cortex. This is the upper part of the "limbic lobe". The cingulate cortex is made up of an area around the midline of the brain. Surrounding areas include the retrosplenial cortex and the precuneus.
FreeSurfer is a brain imaging software package originally developed by Bruce Fischl, Anders Dale, Martin Sereno, and Doug Greve. Development and maintenance of FreeSurfer is now the primary responsibility of the Laboratory for Computational Neuroimaging at the Athinoula A. Martinos Center for Biomedical Imaging. FreeSurfer contains a set of programs with a common focus of analyzing magnetic resonance imaging (MRI) scans of brain tissue. It is an important tool in functional brain mapping and contains tools to conduct both volume based and surface based analysis. FreeSurfer includes tools for the reconstruction of topologically correct and geometrically accurate models of both the gray/white and pial surfaces, for measuring cortical thickness, surface area and folding, and for computing inter-subject registration based on the pattern of cortical folds.
Brain-reading or thought identification uses the responses of multiple voxels in the brain evoked by stimulus then detected by fMRI in order to decode the original stimulus. Advances in research have made this possible by using human neuroimaging to decode a person's conscious experience based on non-invasive measurements of an individual's brain activity. Brain reading studies differ in the type of decoding employed, the target, and the decoding algorithms employed.
In neuroscience, the default mode network (DMN), also known as the default network, default state network, or anatomically the medial frontoparietal network (M-FPN), is a large-scale brain network primarily composed of the dorsal medial prefrontal cortex, posterior cingulate cortex/precuneus and angular gyrus. It is best known for being active when a person is not focused on the outside world and the brain is at wakeful rest, such as during daydreaming and mind-wandering. It can also be active during detailed thoughts related to external task performance. Other times that the DMN is active include when the individual is thinking about others, thinking about themselves, remembering the past, and planning for the future.
The superior temporal sulcus (STS) is the sulcus separating the superior temporal gyrus from the middle temporal gyrus in the temporal lobe of the brain. A sulcus is a deep groove that curves into the largest part of the brain, the cerebrum, and a gyrus is a ridge that curves outward of the cerebrum.
The neuroscience of music is the scientific study of brain-based mechanisms involved in the cognitive processes underlying music. These behaviours include music listening, performing, composing, reading, writing, and ancillary activities. It also is increasingly concerned with the brain basis for musical aesthetics and musical emotion. Scientists working in this field may have training in cognitive neuroscience, neurology, neuroanatomy, psychology, music theory, computer science, and other relevant fields.
Anders Martin Dale is a prominent neuroscientist and professor of radiology, neurosciences, psychiatry, and cognitive science at the University of California, San Diego (UCSD), and is one of the world's leading developers of sophisticated computational neuroimaging techniques. He is the founding Director of the Center for Multimodal Imaging Genetics (CMIG) at UCSD.
Resting state fMRI is a method of functional magnetic resonance imaging (fMRI) that is used in brain mapping to evaluate regional interactions that occur in a resting or task-negative state, when an explicit task is not being performed. A number of resting-state brain networks have been identified, one of which is the default mode network. These brain networks are observed through changes in blood flow in the brain which creates what is referred to as a blood-oxygen-level dependent (BOLD) signal that can be measured using fMRI.
Functional magnetic resonance spectroscopy of the brain (fMRS) uses magnetic resonance imaging (MRI) to study brain metabolism during brain activation. The data generated by fMRS usually shows spectra of resonances, instead of a brain image, as with MRI. The area under peaks in the spectrum represents relative concentrations of metabolites.
Dynamic functional connectivity (DFC) refers to the observed phenomenon that functional connectivity changes over a short time. Dynamic functional connectivity is a recent expansion on traditional functional connectivity analysis which typically assumes that functional networks are static in time. DFC is related to a variety of different neurological disorders, and has been suggested to be a more accurate representation of functional brain networks. The primary tool for analyzing DFC is fMRI, but DFC has also been observed with several other mediums. DFC is a recent development within the field of functional neuroimaging whose discovery was motivated by the observation of temporal variability in the rising field of steady state connectivity research.
Russell "Russ" Alan Poldrack is an American psychologist and neuroscientist. He is a professor of psychology at Stanford University, associate director of Stanford Data Science, member of the Stanford Neuroscience Institute and director of the Stanford Center for Reproducible Neuroscience and the SDS Center for Open and Reproducible Science.
Meditation and pain is the study of the physiological mechanisms underlying meditation-specifically its neural components- that implicate it in the reduction of pain perception.
