The Bigos Lab focuses on a Precision Medicine approach to the treatment of psychiatric illness. In addition, this lab employs functional neuroimaging and genetics as biomarkers in neuropsychiatric drug development. A recent study used functional MRI to test the neural effects of a drug with the potential to treat cognitive dysfunction in schizophrenia. Other studies aim to identify patient-specific variables including sex, race, and genetics that impact drug clearance and clinical response to better select and dose antipsychotics and antidepressants.

The Brown Lab is focused on the function of the cerebral cortex in the brain, which underlies our ability to interact with our environment through sensory perception and voluntary movement. Our research takes a bottom-up approach to understanding how the circuits of this massively interconnected network of neurons are functionally organized, and how dysfunction in these circuits contributes to neurodegenerative diseases like amyotrophic lateral sclerosis and neuropsychiatric disorders, including autism and schizophrenia. By combining electrophysiological and optogenetic approaches with anatomical and genetic techniques for identifying cell populations and pathways, the Brown Lab is defining the synaptic interactions among different classes of cortical neurons and determining how long-range and local inputs are integrated within cortical circuits. In amyotrophic lateral sclerosis, corticospinal and spinal motor neurons progressively degenerate. The Brown Lab is examining how abnormal activity within cortical circuits contributes to the selective degeneration of corticospinal motor neurons in an effort to identify new mechanisms for treating this disease. Abnormalities in the organization of cortical circuits and synapses have been identified in genetic and anatomical studies of neuropsychiatric disease. We are interested in the impact these abnormalities have on cortical processing and their contribution to the disordered cognition typical of autism and schizophrenia.

The Daniel Weinberger Laboratory focuses on the neurobiological mechanisms of genetic risk for developmental brain disorders. We study the genetic regulation of the transcriptome in normal human brain across the human life span and in brains from patients with various psychiatric disorders. We also study the impact of genetic variation on aspects of human brain development and function linked with risk for schizophrenia and related psychiatric disorders. Our lab uses unique molecular and clinical datasets and biological materials from a large sample of families with affected and unaffected offspring and normal volunteers. These datasets include DNA, lymphoblast and fibroblast cell lines, and extensive quantitative phenotypes related to genetic risk for schizophrenia, including detailed cognitive assessments and various neuroimaging assays. In other research, we are working on a human brain transcriptome project that is RNA sequencing over 1,000 human brain samples in various regions and based also on sorting of specific celliular phentypes. We are exploring the molecular processing of the gene and its implications for cognition and aspects of human temperament.

Research in the Gail Daumit Lab is devoted to improving overall health and decreasing premature mortality for people with serious mental illnesses, such as schizophrenia and bipolar disorder. We have conducted observational studies to determine and convey the burden of physical health problems in this vulnerable population, and are currently leading a randomized trial funded by the National Heart, Lung, and Blood Institute to test a comprehensive cardiovascular risk reduction program in people with serious mental illness.

The Cihakova research laboratory is an immunology laboratory dedicated to the investigation of autoimmune diseases. Our most active research is focused on myocarditis and dilated cardiomyopathy. We expanded our interest in inflammatory heart diseases to include the study of immune mechanisms driving pericarditis and myocardial infarction. In addition, we are interested in the pathogenesis of a broad range of autoimmune diseases such as, Sjogren's syndrome, congenital complete heart block, and APECED (autoimmune polyendocrinopathy-candidiasis-ectodermal dystrophy). Through several collaborative projects we also investigate rheumatoid arthritis and the immune components of schizophrenia.

The Feinberg Laboratory studies the epigenetic basis of normal development and disease, including cancer, aging and neuropsychiatric illness. Early work from our group involved the discovery of altered DNA methylation in cancer as well as common epigenetic (methylation and imprinting) variants in the population that may be responsible for a significant population-attributable risk of cancer. Over the last few years, we have pioneered the field of epigenomics (i.e., epigenetics at a genome-scale level), founding the first NIH-supported NIH epigenome center in the country and developing many novel tools for molecular and statistical analysis. Current research examines the mechanisms of epigenetic modification, the epigenetic basis of cancer, the invention of new molecular, statistical, and epidemiological tools for genome-scale epigenetics and the epigenetic basis of neuropsychiatric disease, including schizophrenia and autism.

Research in the Bakker Memory Laboratory is focused on understanding the mechanisms and brain networks underlying human cognition with a specific focus on the mechanisms underlying learning and memory and the changes in memory that occur with aging and disease. We use a variety of techniques including neuropsychological assessments, experimental behavioral assessments and particularly advanced neuroimaging methods to study these questions in young and older adults and patients with mild cognitive impairment, Alzheimer’s disease, Parkinson’s disease and epilepsy. Through our collaborations with investigators in both basic science and clinical departments, including the departments of Psychiatry and Behavioral Sciences, Psychological and Brain Sciences, Neurology and Public Health, our research also focuses on brain systems involved in spatial navigation and decision-making as well as cognitive impairment in neuropsychiatric conditions such as schizophrenia, eating disorders, obsessive-compulsive disorders, depression and anxiety.

The Dölen lab studies the synaptic and circuit mechanisms that enable social behaviors. We use a variety of techniques including whole cell patch clamp electrophysiology, viral mediated gene transfer, optogenetics, and behavior. We are also interested in understanding how these synaptic and circuit mechanisms are disrupted in autism and schizophrenia, diseases which are characterized by social cognition deficits. More recently we have become interested in the therapeutic potential of psychedelic drugs for diseases like addiction and PTSD that respond to social influence or are aggravated by social injury, We are currently using both transgenic mouse and octopus to model disease.

Dr. Hua's research has centered on the development of novel MRI technologies for in vivo functional and physiological imaging in the brain, and the application of such methods for studies in healthy and diseased brains. These include the development of human and animal MRI methods to measure functional brain activities, cerebral perfusion and oxygen metabolism at high (3 Tesla) and ultra-high (7 Tesla and above) magnetic fields. He is particularly interested in novel MRI approaches to image small blood and lymphatic vessels in the brain. Collaborating with clinical investigators, these techniques have been applied 1) to detect functional, vascular and metabolic abnormalities in the brain in neurodegenerative diseases such as Huntingdon's disease (HD), Parkinson's disease (PD), Alzheimer's disease (AD) and mental disorders such as schizophrenia; and 2) to map brain functions and cerebrovascular reactivity for presurgical planning in patients with vascular malformations, brain tumors and epilepsy.

Dr. Ross and his research team have focused on Huntington's disease and Parkinson's disease, and now are using insights from these disorders to approach more complex diseases such as schizophrenia and bipolar disorder. They use biophysical and biochemical techniques, cell models, and transgenic mouse models to understand disease processes, and to provide targets for development of rational therapeutics. These then can provide a basis for developing small molecule interventions, which can be used both as probes to study biology, and if they have favorable drug-like properties, for potential therapeutic development. We have used two strategies for identifying lead compounds. The first is the traditional path of identification of specific molecular targets, such as enzymes like the LRRK2 kinase of Parkinson’s disease. Once structure is known, computational approaches or fragment based lead discovery, in collaboration, can be used. The second is to conduct phenotypic screens using cell models, or in a collaboration, natural products in a yeast model. Once a lead compound is identified, we use cell models for initial tests of compounds, then generate analogs, and take compounds that look promising to preclinical therapeutic studies in animal models. The ultimate goal is to develop therapeutic strategies that can be brought to human clinical trials, and we have pioneered in developing biomarkers and genetic testing for developing strategies.