TACS can be used for manipulating the key
brain network activity and fMRI can be used to see what's happening.
«New analysis of
brain network activity offers unique insight into epileptic seizures: Researchers are exploring «evolving epileptic brain networks» to gain a better understanding of brain activity in epilepsy patients and the roles played by different regions of the brain.»
The participants who reported the psychotic - like experiences (PLEs)-- considered to be at the low end of the psychosis spectrum — spent less time in a brain state reflecting healthier
brain network activity.
Not exact matches
Deep Text uses neural
networks, a subset of AI and deep learning intended to mimic
activity of the human
brain, to understand written language so that it can then act accordingly.
Neural
networks simulate
brain activity by trying to make connections between different data points and using those connections to create original «ideas» (but think of those ideas as crowd - sourced from a bunch of external sources).
The researchers found that neurons in the
brain regulate their own
activity in such a way that the overall
activity level in the
network remains as constant as possible.
A flurry of coordinated
activity in a
brain - spanning
network of neurons may sound like the formation of a brilliant new idea, but it is actually the description of a seizure.
«This connection between an innate call and the
activity of a
brain area important to learned vocalisations suggests that during the evolution of songbirds, the role of the song area in the
brain changed from being a simple vocalisation system for innate calls to a specialised neural
network for learned songs,» concludes Manfred Gahr, coordinator of the study.
«He still had these
network connections that could in principle be recruited,» Schiff explains, «but the
brain was not regulating its own level of
activity properly.»
This large - scale epileptic
network comprises various areas of the
brain involved in normal
brain activity during both seizure - free intervals and those involved in so - called pathophysiological
activities such as seizures.
The
brain scans also showed that the A allele was associated with increased
activity in the lateral and medial prefrontal cortex, regions that belong to a
network involved in the encoding of emotional memories.
«Literally within a tenth of a second before you move your eyes, there is this incredible flash of
network activity in the front of the
brain, and then the eyes move,» Schroeder says.
«New developments in
network theory are providing powerful tools to construct so - called «functional
networks» from observations of
brain activities such as the electroencephalogram (EEG), and helping to identify the important nodes and links within such
networks,» Lehnertz said.
Hovering above the
brain like Casper the Friendly Ghost, the soul freely perturbs the
networks of the
brain, thereby triggering the neural
activity that will ultimately lead to behavior.
As Poldrack lay still for 10 noisy minutes, the machine measured the
activity throughout his
brain's neural
networks.
In a new study, neuroscientists connected a
network of electrodes to the hearing centers of 15 patients»
brains (image above) and recorded the
brain activity while they listened to words like «jazz» or «Waldo.»
Lead author of the study Kirsten Weber proposes, «The enhanced
activity might reflect a
brain mechanism to build and strengthen a neural
network to process novel word order regularities.»
In this way, the derivatives disturb the
activity of
brain networks that mediate desire, pleasure, muscle movements and cognition.
In the real
brain, maintaining a proper balance in neural
network activity is important; disruptions in it appear to foster disorders such as epilepsy, and perhaps schizophrenia and autism.
In keeping with these earlier findings, Parkinson and her colleagues found
activity in a widely distributed
network of
brain regions was sensitive to the social status of the people in the film clips, with individual regions responding to different aspects of it.
Based on anatomical sites with muted slow - wave
activity, the researchers suspect the first - night effect involves the default - mode
network, a system of interacting
brain regions involved in daydreaming and spontaneous thoughts.
Researchers at Brown University and the Georgia Institute of Technology used neuroimaging and a
brain wave — tracking approach called polysomnography to record
activity in four
brain networks in 11 individuals as they slept on two nights about a week apart.
Resting state
networks (RSNs), sometimes called the «dark energy of the
brain», are patterns of low - frequency
brain activity that are constantly active, even when a person is asleep.
Scientists of the Transfaculty Research Platform «Molecular and Cognitive Neurosciences» (MCN) at the University of Basel and the Psychiatric University Clinics have now described a
network of genes that controls fundamental properties of neurons and is related to working memory,
brain activity and schizophrenia.
Basel scientists have now identified a
network of genes that controls fundamental properties of neurons and is important for human
brain activity, memory and the development of schizophrenia.
«By combining in vivo multiphoton microscopy and in vivo electrophysiology, our lab is better able to visualize how cells move and change over time in the living
brain and explain how changes in these glial cells alter the visually evoked neural
network activity,» says Kozai.
As part of a project led by molecular engineer George Church of Harvard University, the technique was selected last month to receive a $ 21 million, 5 - year
brain mapping grant, one of six new projects under the Machine Intelligence from Cortical
Networks, or MICrONS, program, sponsored by the Intelligence Advanced Research Projects
Activity.
The team also checked the fMRI readings to determine whether any other
brain regions had a similar pattern of
activity, which would indicate that the
brain networks were communicating with one another.
The study found that under psilocybin,
activity in the more primitive
brain network linked to emotional thinking became more pronounced, with several different areas in this
network — such as the hippocampus and anterior cingulate cortex — active at the same time.
In comparison,
activity in the different areas of a more primitive
brain network became more synchronised under the drug, indicating they were working in a more co-ordinated, «louder» fashion.
Combining several new techniques, Jonathan R. Polimeni, Ph.D., senior author of the study, and his colleagues at Harvard's Athinoula A. Martinos Center for Biomedical Imaging, applied fast fMRI in an effort to track neuronal
networks that control human thought processes, and found that they could now measure rapidly oscillating
brain activity.
This revealed that
activity in important
brain networks linked to high - level thinking in humans becomes unsynchronised and disorganised under psilocybin.
As
networked control systems have grown increasingly large and complex, system designers have moved away from having system devices — or «agents» — coordinate their
activities through a single, centralized computer hub, or
brain.
Network activity in the
brain was also normalized, providing additional support for the remarkable ability of tau reduction to suppress epileptic
activity.
A new study says that doctors may be able to predict the fate of comatose patients in minutes if they tap into the
activity in a
brain network linked to daydreaming.
$ 20 million for the National Science Foundation (NSF), to support research into the development of nanoscale probes that can record the
activity of neural
networks; information processing technology that can handle the flood of data generated by
BRAIN research; and better understanding of the neural representation of thoughts, emotions, actions, and memories
Their findings:
activity dropped in the prefrontal cortex — which is implicated in planning as well as in the organization of functions performed by other
brain regions — but it jumped in a cluster of
brain regions implicated in daydreaming known as the «default mode
network.»
When the researchers looked at
activity at the cellular level in the rats»
brains, they saw that individual cells stimulated by the optogenetics would increase firing rates in the PER
network and that many cells fired in sync with the optical flicker frequency.
Well it goes down in the sense [that] it gets a little more focused as well; now know what's happening is this
brain dark energy, which scientists call the
brain default mode
network — and they use the word default because when you're not doing anything else — this is background
brain activity that is constantly occurring is all about the
brain anticipating and predicting what'll happen next in the environment.
After showing they could successfully quantify
brain activity in moving subjects, they then scanned eight fetuses between 32 and 37 weeks of pregnancy, as infants born prematurely at that age have been shown to have active default mode
networks.
«It really hasn't been explored when these
activity networks — these collections of
brain areas that start to work together in the
brain — emerge and what types of cells and tissues they emerge in,» says Colin Studholme, Ph.D., a professor with joint appointments in pediatrics and bioengineering at the University of Washington and senior author of the paper.
NIBIB - funded researchers at the University of Washington have pioneered an approach to image functional
activity in the
brains of individual fetuses, allowing a better look at how functional
networks within the
brain develop.
It is also the first to demonstrate that a deep convolutional neural
network — a computing system modelled after the neuron
activity in animal
brains that can basically learn on its own — can effectively differentiate between similar plants with an amazing accuracy of nearly 100 %.
They found that a default
network of regions in the
brain's cortex — a grouping known to be active when the mind is completely unoccupied — is firing away as a person is engaged in routine
activities.
They then compared neural
activity in the connector hubs to
activity in each of the
brain's dedicated
networks during all the tasks recorded in the BrainMap database.
«In this study, a new «source analysis» method was used for the first time to measure functional
networks in the infant
brain: with the help of a computer model, the measured EEG signals were interpreted as
activity in the infant cortex, which enabled the evaluation of the functional
networking of neurons in a very versatile manner on the cortical level,» says Sampsa Vanhatalo, a professor in clinical neurophysiology and the head of the study.
The study, just published in the Proceedings of the National Academy of Sciences, found heightened neural
activity in the
brain's connector hubs during complex tasks, such as puzzles and video games, while
networks dedicated to specific functions did not need to put in extra work.
«By mapping the
network of
activity in the
brain and how it changes over time,» Bassett said, «we aim to quantify the reconfiguration of this
network that leads to different stages of a seizure.»
Using a mouse model of fragile X syndrome, the researchers recorded the
activity of
networks of neurons in a living mouse
brain while the animal was both awake and asleep.
Although the neural
networks that seem to be affected in Tourette's and OCD are distinct, they nonetheless involve
brain regions with similar functions — in particular, motor
activity and decision making.