# Multi-feature, Multi-scale Atlas

> **NIH NIH U01** · UNIVERSITY OF MASSACHUSETTS AMHERST · 2021 · $263,669

## Abstract

SUMMARY / ABSTRACT – Project 1. Multi-feature, Multi-scale Atlas
Project 1 of the Berghia Brain Project is to create a multi-scale, multi-feature atlas of the Berghia brain and
peripheral neural plexus. Berghia has a brain that is both physically small enough to be serially sectioned and
reconstructed from electron micrographs and also has few enough neurons that they can be individually
characterized and catalogued. Developing the tools for this undertaking will aid in the long term goal of the
BRAIN Initiative to fully map the human brain. The Berghia brain atlas will contain the connectivity,
neuroanatomy, and gene expression profile of individual neurons in the brain. It will also feature how those
central neurons connect to neurons in periphery and to end organs. The peripheral plexus itself will be
characterized and mapped. This will aid in understanding how a brain and a distributed periphery interact. The
atlas will be used to trace out the somatosensory, olfactory, and visual systems to test fundamental models of
how these systems are organized. This project will determine whether somatotopic maps are present in the
brain. It will also determine how an olfactory system is organized without glomeruli. Finally, it will examine the
distributed, multi-sensory nature of vision.

## Key facts

- **NIH application ID:** 10302203
- **Project number:** 1U01NS123972-01
- **Recipient organization:** UNIVERSITY OF MASSACHUSETTS AMHERST
- **Principal Investigator:** Paul S Katz
- **Activity code:** U01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $263,669
- **Award type:** 1
- **Project period:** 2021-09-15 → 2023-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10302203

## Citation

> US National Institutes of Health, RePORTER application 10302203, Multi-feature, Multi-scale Atlas (1U01NS123972-01). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10302203. Licensed CC0.

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