Circuit Diagrams

A cellular atlas of the primate and human basal ganglia

PROJECT SUMMARY The human basal ganglia (BG) are a collection of subcortical regions whose diverse, specialized cell types influence motor control, emotional regulation, habit formation, and higher cognition. Recent advances in single-cell transcriptome and epigenome sequencing have revolutionized our ability to systematically define cell types and states across complex tissues, reaching sufficient levels of throughput and robustness to be deployable to large brain tissue regions like the primate BG.

A high-resolution molecular and lineage atlas of the mouse brain using Slide-seq

PROJECT SUMMARY The mouse brain is composed of thousands of highly specialized cell types, distributed across hundreds of anatomical regions. Recently, advances in DNA barcoding and sequencing have enabled large-scale surveys of transcriptional state (single cell RNAseq), and epigenetic state (single cell DNA methylation and ATACseq) across the brain.

Establishing Common Coordinate Framework for Quantitative Cell Census in Developing Mouse Brains

Abstract Brain development is characterized by a diverse set of cell types that are born and connected into rapidly growing complex 3D structures across time. Quantitative understanding of cell type composition and distribution in different brain regions provides fundamental knowledge about the building blocks of the brain and serves as an essential baseline with which to assess changes that may occur in brain disorders.

Multiplexed Nanoscale Protein Mapping Through Expansion Microscopy and Immuno-SABER

Tools for surveying brain cell types and circuits must be scalable, both in the number of molecular targets visualizable at once, and in the size of the tissues that can be assessed. They also must be high resolution, since cellular compartments such as axons, dendrites, and synapses exhibit nanoscale feature sizes.

Development of a scalable strategy for reconstructing cell-type determined connectome of the mammalian brain

Abstract In order to fully understand the structural substrates underlying the brain function, it is central to curate multiple attributes of the same neurons. The important attributes include, but limited to morphology, connection properties and molecular patterns, such as the expression of functional genes and the distribution of synaptic densities. Light microscopy-based neuronal tracing has contributed our fundamental understanding of the heterogeneity of neuronal morphology.

Developmental cell census of human and non-human primate brain

ABSTRACT The human brain is a highly complex biological tissue organized into hundreds of regions composed of a myriad of cell types with distinct molecular, morphological, and physiological properties. These cells and their associated circuits underlie our mental abilities and, when dysfunctional, lead to neurological and psychiatric disorders. Consequently, developing an atlas of these cell types and how they differ from one another is essential for understanding the biological processes underlying human brain development and function.

Redefine Trans-Neuropsychiatric Disorder Brain Patterns through Big-Data and Machine Learning

Abstract This application will combine the strengths of two large scale NIH-funded initiatives to understand disorder- related patterns in the human brain: Connectomes Related to Human Disease (CRHD) and Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA). We will develop and evaluate novel brain vulnerability metrics - based on the idea of polygenic risk scores – that we expect to better predict diagnosis and cognitive performance than standard neuroimaging measures.

Heritability and cognitive implications of structural-functional connectome coupling

The human brain is an unimaginably complicated system of interconnected neurons that is capable of complex thought, emotion and behavior. Macroscale white matter connections quantified via the structural connectome (SC) act as the backbone for the flow of functional activation, which can be represented via the functional con- nectome (FC). Our group and others have shown that quantifying properties of the brain’s structural and func- tional connectomes and their relationship can inform understanding of brain-behavior associations and disease mechanisms4-9.

Harmonizing and Archiving of Large-scale Infant Neuroimaging Data

Project Abstract The first postnatal years are an exceptionally dynamic and critical period of structural and functional development of the human brain. Many neurodevelopmental disorders are the consequence of abnormal brain development during this stage. Several NIH-funded studies have recently acquired and released large-scale infant brain MRI datasets in the National Institute of Mental Health Data Archive (NDA), leading to over 3,000 publically-available infant MRI scans from multiple imaging sites.

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