Neuroscience Institute

My research group is currently focused on understanding brain function and inter-brain synchrony during naturalistic social interaction. We use ultra-portable near-infrared spectroscopy (NIRS) to address specific scientific questions with an emphasis on multi-modal assessment (e.g., behavioral, physiological, environmental setting, and eye-tracking in addition to functional NIRS). This overall scientific apprach is called "interaction neuroscience:.

We are interested in the molecular mechanisms involved in synaptic transmission and plasticity using electrophysiological, optogenetic and behavioral tools in mouse brain and spinal cord. We study brain circuit alterations caused by stress, drugs of abuse, and pain.

The overarching goal of Brain Dyanamics Lab is to develop computational methods that could allow for anchoring psychiatric diagnosis into biological features (e.g., neural circuits, spatiotemporal neurodynamics). The lab is funded through an NIH Director’s New Innovator Award (DP2), an NIMH R01, and a faculty scholar award from Stanford’s Maternal and Child Health Research Institute.

Dr. Michael Zeineh received a B.S. in Biology at Caltech in 1995 and obtained his M.D.-Ph.D. from UCLA in 2003. After internship also at UCLA, he went on to radiology residency and neuroradiology fellowship both at Stanford. He has been faculty in Stanford Neuroradiology since 2010. He spearheads many initiatives in advanced clinical imaging at Stanford, including clinical fMRI and DTI.

The research interests of the molecular imaging instrumentation lab are to create novel instrumentation and software algorithms for in vivo imaging of molecular signatures of disease in humans and small laboratory animals. These new cameras efficiently image radiation emissions in the form of positrons, annihilation photons, gamma rays, and/or light emitted from molecular contrast agents that were introduced into the body and distributed in the subject tissues.

Mitochondria move and undergo fission and fusion in all eukaryotic cells. The accurate allocation of mitochondria in neurons is particularly critical due to the significance of mitochondria for ATP supply, Ca++ homeostasis and apoptosis and the importance of these functions to the distal extremities of neurons. In addition, defective mitochondria, which can be highly deleterious to a cell because of their output of reactive oxygen species, need to be repaired by fusing with healthy mitochondria or cleared from the cell.

Our research focus is in computational systems biology, primarily in cancer and more recently in neurodegenerative diseases.  We develop and apply methods to understand biological processes underlying disease, using high-throughput genomic and proteomic datasets and integrating them with phenotypes and clinical outcomes. A key interest is dissecting how the cellular composition and organization of tissues affects their behaviour in disease; and how these things might be targeted for therapy or diagnostic purposes.

My research utilizes multimodal imaging (fMRI, dMRI, qMRI), computational modeling, and behavioral measurements to investigate human visual cortex. We seek to understand how the underlying neural mechanisms and their anatomical implementation enable rapid and efficient visual perception and recognition. Critically, we examine how the human brain and visual perception change across development to understand how the interplay between anatomical constraints and experience shapes visual cortex and ultimately behavior.