The neuroimaging and Modulation Laboratory (NIMLAB) investigates neural correlates of cognition and behavior using neuroimaging methods such as functional magnetic resonance imaging (fMRI) and neuromodulation techniques such as transcranial magnetic stimulation (TMS). We are looking in depth at the contributions of the cerebellum and cerebro-cerebellar circuits to cognition; the effects of chronic heavy alcohol consumption on cognition and brain activation underlying cognitive function; how aging in humans affects neural systems that are important for associative learning and stimulus awareness; and the integration of transcranial magnetic stimulation with functional MRI.

Psychiatric Neuroimaging (PNI) is active in neuropsychiatric research using imaging methods such as MRI, fMRI, PET and DTI to understand the mechanisms and brain networks underlying human cognition. PNI faculty have published hundreds of papers on a variety of brain disorders which include but are not limited to Alzheimer's disease, Parkinson's disease, bipolar disorder, and eating disorders. Faculty in the division have been awarded numerous peer-reviewed grants by the National Institutes of Health, foundations and other funding organizations.

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.

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 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.

The Laboratory for computational Motor Control studies movement control in humans, including healthy people and people with neurological diseases. We use robotics, brain stimulation and neuroimaging to study brain function. Our long-term goals are to use mathematics to understand: 1) the basic function of the motor structures of the brain including the cerebellum, the basal ganglia and the motor cortex; and 2) the relationship between how our brain controls our movements and how it controls our decisions.

We investigate the brain networks and neurotransmitters involved in symptoms of movement disorders, such as Parkinson's disease, and the mechanisms by which modulating these networks through electrical stimulation affects these symptoms. We are particularly interested in the mechanisms through which neuromodulation therapies like deep brain stimulation affect non-motor brain functions, such as cognitive function and mood. We use imaging of specific neurotransmitters, such as acetylcholine and dopamine, to understand the changes in brain chemistry associated with the clinical effects of deep brain stimulation and to predict which patients are likely to have changes in non-motor symptoms following DBS. Through collaborations with our neurosurgery colleagues, we explore brain function by making recordings during DBS surgery during motor and non-motor tasks. Dr. Mills collaborates with researchers in the Department of Neurosurgery, the Division of Geriatric and Neuropsychiatry in the Department of Psychiatry and Behavioral Sciences and in the Division of Nuclear Medicine within the Department of Radiology to translate neuroimaging and neurophysiology findings into clinical applications.