Degrees of sexual compulsivity did not
predict brain response at all.
«The new method provides a powerful means to
predict brain responses to music, speech, and soundscapes across a variety of contexts,» says Dr. Vinoo Alluri.
Not exact matches
The team
predicted that the fastest
response to the click would be seen in those in whom the accumulation of neural noise had neared the threshold — meaning their
brains were about to commit to a movement.
A study conducted at the Department of Psychology at the University of Jyväskylä, Finland and Jyväskylä Centre for Interdisciplinary
Brain Research (CIBR) has found that the brain responses of infants with an inherited risk for dyslexia, a specific reading disability, predict their future reading speed in secondary sc
Brain Research (CIBR) has found that the
brain responses of infants with an inherited risk for dyslexia, a specific reading disability, predict their future reading speed in secondary sc
brain responses of infants with an inherited risk for dyslexia, a specific reading disability,
predict their future reading speed in secondary school.
«Infant
brain responses predict reading speed in secondary school.»
«Small DNA modifications
predict brain's threat
response.»
In this study they measured phase
response curves from a computer simulation of
brain activity,
predicted what stimulus patterns would suppress the neural oscillations, and then demonstrated that the stimulation patterns
predicted to suppress the oscillations were in fact effective.
The team is looking at how each affects the
brain and whether
brain markers can
predict response to a particular treatment.
One nuance in the findings was that the
brain area that appeared to
predict response to SSRIs — the right ventrolateral prefrontal cortex — was not the exact area that appeared to be affected by SSRI treatment.
«We can, however, conclude that
brain responses to near - misses resemble those to actual wins; that
brain responses to near - misses are associated with increased theta activity in gamblers and that gamblers» level of reported gambling severity and susceptibility to thoughts about gambling
predicted activity in
brain regions are responsible for the near - miss effect.»
Scientists have
predicted that these changes in structure could elicit a pleasurable reward
response in the
brain.
«Placebo power: Depressed people who respond to fake drugs get the most help from real ones: Different levels of
brain response to sham treatment could
predict resilience in the face of depression, help lead to new treatments.»
«The fact that the models
predict the neural
responses and the distances of objects in neural population space shows that these models encapsulate our current best understanding as to what is going on in this previously mysterious portion of the
brain,» says DiCarlo, who is also a member of MIT's McGovern Institute for Brain Rese
brain,» says DiCarlo, who is also a member of MIT's McGovern Institute for
Brain Rese
Brain Research.
In situations where monkeys can potentially cooperate to improve their mutual reward, certain groups of
brain cells work to accurately
predict the
responses of other monkeys
We also tested whether it was possible to
predict friendship status based on similarity of fMRI
response time series across
brain regions.
However,
response to treatment may be
predicted by baseline frontal lobe blood flow, and presence of polymorphisms of the 5 - hydroxytryptamine (5 - HT)-1 a gene, the LL genotype of the serotonin transporter linked polymorphic region (5 - HTTLPR) gene, and Val / Val homozygotes of the
brain - derived neurotrophic factor (BDNF) gene.
Various biological factors at baseline appear to
predict response to rTMS, including levels of certain molecular factors, blood flow in
brain regions implicated in depression, electrophysiological findings, and specific genetic polymorphisms.
When the
brain seeks to
predict the best
response, answer, solution to a problem or make a choice, the executive function control networks in the prefrontal cortex send out messages to the memory association areas, such as the hippocampus and memory storing cortex of each hemisphere.
The more extensive the
brain's collection of memory networks, the more successful it will be in activating the best prior knowledge to
predict the best
responses, answers, and choices for any new situation.
Moreover, the patterns of activation and deactivation of
brain regions in
response to affective stimuli or in the course of mildly anxiogenic tasks vary quantitatively across subjects and can be
predicted in part by individual differences in proneness to experience negative emotionality and anxiety, and by some polymorphic genes that influence behavior.
Adult attachment
predicts maternal
brain and oxytocin
response to infant cues.
Also, if an ACC marker
predicts better
response, researchers might develop cognitive training that specifically targets this region, which could increase
brain activation to accelerate or boost
response to more traditional intervention.