Using MEG neuroimaging, researchers have identified a new marker that can be used to predict the clinical outcomes for those suffering from ALS.
Using MEG data, a new AI algorithm called AI-MIND is able to assess dementia risk and the potential effectiveness of treatments for depression, researchers say.
Neuroimaging study reveals abnormalities in memory replay in those with schizophrenia.
Children at high risk for dyslexia have trouble learning new words after hearing them, a new study reports. Results show those at risk of dyslexia have border difficulties in processing language in the brain, which may account for why reading difficulties occur.
A new theory suggests electromagnetic energy in the brain enables neurons and brain regions to create consciousness and our ability to critically think.
Research suggests a time-locked encoding mechanism may have evolved for speech processing in humans. The processing mechanism appears to be tuned to the native language as a result of extensive exposure to the language environment during early development.
People fail to process information that contradicts their convictions. A new study explains the neural processes that contribute to confirmation bias.
A new computer model can analyze different types of brain scans and accurately predict the age of the human brain based on the images.
Acute stress suppresses appetite, and the suppression is associated with alterations in neural activity in the frontal pole.
Attention can be boosted by using neurofeedback to increase alpha brainwaves.
Nonverbal children on the autism spectrum have a slower response to auditory stimulation. The longer response times were associated with poor communication skills. Brain imaging of the auditory cortex could serve as a biomarker for measuring the likelihood of language impairment in those with ASD.
Study evaluates the effects of regular cannabis use on cortical dopamine function in youth at high risk of psychosis.
