New Model Helps Map the Individual Variations of Mental Illness
Yale researchers have developed a novel framework for the emerging field of “computational psychiatry,” which blends neuroimaging, pharmacology, biophysical modeling, and neural gene expression to map these variations in individual symptoms to specific neural circuits.Source: YaleNews
Yale Researchers to Lead $52M Investigation Into Cause, Effect of Schizophrenia in Some High-risk Adolescents
Researchers with the Yale Department of Psychiatry will lead an international study to better understand the cause and effect of schizophrenia in some high-risk adolescents and young adults.
Local variations in circuitry are key to brain’s power
Yale researchers studying how the human cortex performs its remarkable feats have shown that regional variations in brain local circuitry — not just long-distance connections between regions — help determine how well we think, perceive, and analyze the world around us.
Marriage of imaging and genetics opens new view of brain function
Neuroimaging has revolutionized the study of the brain, but can provide no information about what is actually happening at molecular level in humans. Scientists at Yale have developed new approaches to link gene expression patterns to brain signals captured by imaging.
Anticevic, Murray edit new book on computational psychiatry
Alan Anticevic, PhD, Assistant Professor of Psychiatry and of Psychology, and John D. Murray, PhD, Assistant Professor of Psychiatry, have edited a new book that provides a comprehensive overview of the rapidly evolving field of computational psychiatry.
New study reveals shift in global brain signals in schizophrenia
Schizophrenia (SCZ) is a disabling neuropsychiatric disease associated with disruptions across distributed neural systems. Resting-state functional magnetic resonance imaging has identified extensive abnormalities in the blood-oxygen level-dependent signal in SCZ patients, including alterations in the average signal over the brain—i.e. the “global” signal (GS). It remains unknown, however, if these “global” alterations occur pervasively or follow a spatially preferential pattern. This study presents the first network-by-network quantification of GS topography in healthy subjects and SCZ patients.
Anticevic Lab collaborates on neuroimaging study examining treatment in major depression.
Capitalizing on recent advances in resting state functional connectivity magnetic resonance imaging (rs-fcMRI) and the distinctive paradigm of rapid mood normalization following ketamine treatment, the current study investigated intrinsic brain networks in major depressive disorder (MDD) during a depressive episode and following treatment with ketamine.
Dozen young Yale scientists honored for promising mental health research
Twelve Yale investigators were among 202 researchers to receive Young Investigator Grants from the Brain & Behavior Research Foundation (formerly NARSAD). The $11.9 million program helps support researchers with promising ideas about how to understand and treat mental illness. Receiving up to $60,000 over two years, the investigators pursue brain and behavior research related to depression, bipolar disorder, schizophrenia, autism, attention-deficit hyperactivity disorder, and anxiety disorders like obsessive-compulsive and post-traumatic stress disorders.Source: ECN