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Decoded Neurofeedback (DecNef) is the process of inducing knowledge in a subject by increasing neural activation in predetermined regions in the brain, such as the visual cortex. This is achieved by measuring neural activity in these regions via functional magnetic resonance imaging (fMRI), comparing this to the ideal pattern of neural activation in these regions (for the intended purpose), and giving subjects feedback on how close their current pattern of neural activity is to the ideal pattern. Without explicit knowledge of what they are supposed to be doing or thinking about, over time participants learn to induce this ideal pattern of neural activation. Corresponding to this, their 'knowledge' or way of thinking has been found to change accordingly.
Experiments conducted in 2011 at Boston University (BU) and ATR Computational Neuroscience Laboratories in Kyoto, Japan demonstrated that volunteers were able to quickly solve complex visual puzzles they had not previously had exposure to. They did so by receiving the brain patterns of other volunteers who had already learned to solve the puzzles through trial and error methods.
Neurofeedback, commonly referred to as EEG biofeedback, is a real-time method of measuring and adjusting brain activity such that the brain is rewarded at the appropriate time. This non-pharmaceutical approach to treating a variety of diseases, such as anxiety, ADHD, and depression, is based on notions of neuroplasticity and learning. Neurofeedback is used by Neuroperforma to assist patients in reaching their utmost wellbeing. [1]
The research has far-reaching implications for treating patients with various learning disabilities, mental illness, memory problems, and motor functionality impairments.
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.
Neurofeedback is a form of biofeedback that uses electrical potentials in the brain to reinforce desired brain states through operant conditioning. This process is non-invasive and typically collects brain activity data using electroencephalography (EEG). Several neurofeedback protocols exist, with potential additional benefit from use of quantitative electroencephalography (QEEG) or functional magnetic resonance imaging (fMRI) to localize and personalize treatment. Related technologies include functional near-infrared spectroscopy-mediated (fNIRS) neurofeedback, hemoencephalography biofeedback (HEG), and fMRI biofeedback.
In the philosophy of mind, neuroscience, and cognitive science, a mental image is an experience that, on most occasions, significantly resembles the experience of "perceiving" some object, event, or scene but occurs when the relevant object, event, or scene is not actually present to the senses. There are sometimes episodes, particularly on falling asleep and waking up, when the mental imagery may be dynamic, phantasmagoric, and involuntary in character, repeatedly presenting identifiable objects or actions, spilling over from waking events, or defying perception, presenting a kaleidoscopic field, in which no distinct object can be discerned. Mental imagery can sometimes produce the same effects as would be produced by the behavior or experience imagined.
Hemoencephalography (HEG) is a neurofeedback technique in the field of neurotherapy. Neurofeedback, a specific form of biofeedback, is based on the idea that human beings can consciously alter their brain function through training sessions in which they attempt to change the signal generated by their brain and measured via a neurological feedback mechanism. On completion of the process, participants increase cerebral blood flow to a specified region of the brain, consequently increasing brain activity and performance on tasks involving the specific region of the brain.
Functional integration is the study of how brain regions work together to process information and effect responses. Though functional integration frequently relies on anatomic knowledge of the connections between brain areas, the emphasis is on how large clusters of neurons – numbering in the thousands or millions – fire together under various stimuli. The large datasets required for such a whole-scale picture of brain function have motivated the development of several novel and general methods for the statistical analysis of interdependence, such as dynamic causal modelling and statistical linear parametric mapping. These datasets are typically gathered in human subjects by non-invasive methods such as EEG/MEG, fMRI, or PET. The results can be of clinical value by helping to identify the regions responsible for psychiatric disorders, as well as to assess how different activities or lifestyles affect the functioning of the brain.
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 research studies of brain disease and psychiatric illness. Neuroimaging is highly multidisciplinary involving neuroscience, computer science, psychology and statistics, and is not a medical specialty. Neuroimaging is sometimes confused with neuroradiology.
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.
Neuroergonomics is the application of neuroscience to ergonomics. Traditional ergonomic studies rely predominantly on psychological explanations to address human factors issues such as: work performance, operational safety, and workplace-related risks. Neuroergonomics, in contrast, addresses the biological substrates of ergonomic concerns, with an emphasis on the role of the human nervous system.
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.
The eureka effect refers to the common human experience of suddenly understanding a previously incomprehensible problem or concept. Some research describes the Aha! effect as a memory advantage, but conflicting results exist as to where exactly it occurs in the brain, and it is difficult to predict under what circumstances one can predict an Aha! moment.
Electroencephalography (EEG) is a method to record an electrogram of the spontaneous electrical activity of the brain. The biosignals detected by EEG have been shown to represent the postsynaptic potentials of pyramidal neurons in the neocortex and allocortex. It is typically non-invasive, with the EEG electrodes placed along the scalp using the International 10–20 system, or variations of it. Electrocorticography, involving surgical placement of electrodes, is sometimes called "intracranial EEG". Clinical interpretation of EEG recordings is most often performed by visual inspection of the tracing or quantitative EEG analysis.
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.
In neuroscience, functional specialization is a theory which suggests that different areas in the brain are specialized for different functions.
Neuroscience of multilingualism is the study of multilingualism within the field of neurology. These studies include the representation of different language systems in the brain, the effects of multilingualism on the brain's structural plasticity, aphasia in multilingual individuals, and bimodal bilinguals. Neurological studies of multilingualism are carried out with functional neuroimaging, electrophysiology, and through observation of people who have suffered brain damage.
Imagined speech is thinking in the form of sound – "hearing" one's own voice silently to oneself, without the intentional movement of any extremities such as the lips, tongue, or hands. Logically, imagined speech has been possible since the emergence of language, however, the phenomenon is most associated with its investigation through signal processing and detection within electroencephalograph (EEG) data as well as data obtained using alternative non-invasive, brain–computer interface (BCI) devices.
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.
Cognitive humor processing refers to the neural circuitry and pathways that are involved in detecting incongruities of various situations presented in a humorous manner. Over the past decade, many studies have emerged utilizing fMRI studies to describe the neural correlates associated with how a human processes something that is considered "funny". Conceptually, humor is subdivided into two elements: cognitive and affective. The cognitive element, known as humor detection, refers to understanding the joke. Usually, this is characterized by the perceiver attempting to comprehend the disparities between the punch line and prior experience. The affective element, otherwise known as humor appreciation, is involved with enjoying the joke and producing visceral, emotional responses depending on the hilarity of the joke. This ability to comprehend and appreciate humor is a vital aspect of social functioning and is a significant part of the human condition that is relevant from a very early age. Humor comprehension develops in parallel with growing cognitive and language skills during childhood, while its content is mostly influenced by social and cultural factors. A further approach is described which refers to humor as an attitude related to strains. Humorous responses when confronted with troubles are discussed as a skill often associated with high social competence. The concept of humor has also been shown to have therapeutic effects, improving physiological systems such as the immune and central nervous system. It also has been shown to help cope with stress and pain. In sum, humor proves to be a personal resource throughout the life span, and helps support the coping of everyday tasks.
Network neuroscience is an approach to understanding the structure and function of the human brain through an approach of network science, through the paradigm of graph theory. A network is a connection of many brain regions that interact with each other to give rise to a particular function. Network Neuroscience is a broad field that studies the brain in an integrative way by recording, analyzing, and mapping the brain in various ways. The field studies the brain at multiple scales of analysis to ultimately explain brain systems, behavior, and dysfunction of behavior in psychiatric and neurological diseases. Network neuroscience provides an important theoretical base for understanding neurobiological systems at multiple scales of analysis.
fMRI lie detection is a field of lie detection using functional magnetic resonance imaging (fMRI). FMRI looks to the central nervous system to compare time and topography of activity in the brain for lie detection. While a polygraph detects anxiety-induced changes in activity in the peripheral nervous system, fMRI purportedly measures blood flow to areas of the brain involved in deception.