# Brain and Human Body Modeling Conference (BHBM) – from Fast and Accurate Computational Modeling to Clinical Practice

> **NIH NIH R13** · WORCESTER POLYTECHNIC INSTITUTE · 2024 · $17,500

## Abstract

ABSTRACT
Brain stimulation therapies are important and effective treatments for people with depression and other mental
disorders. The National Institute of Mental Health (NIMH) is supporting studies exploring how to make brain
stimulation therapies more personalized and effective while reducing side effects. For all brain stimulation
modalities, computational numerical modeling of the electric, magnetic and acoustic fields within a patient-
specific head model is the leading and most promising way to develop improved spatial targeting methods and
quantitatively determine the required stimulation dose. Similarly, neurophysiological signal analyses require
extensive numerical computational modeling to identify active cortical domains from limited electrode voltage
and magnetometer measurements. The present proposal will facilitate development of fast and accurate brain
and human body modeling methods and techniques via a dedicated and growing computational conference on
Brain and Human Body Modeling. Aligned with NIMH’s mission, the specific aims of this proposal will include the
following:
 (i) Exchanging ideas, method, and approaches on computational modeling electric and magnetic fields within
 the brain targeting neurostimulation modalities (TMS, TES, DBS, tFUS) and associated neurophysiological
 recordings (EEG, iEEG, MEG);
 (ii) Integration of modeling techniques into clinical practice;
 (iii) Hands-on training to keep pace with the rapidly evolving technologies by introducing four dedicated
 workshops in total as an integral part of the conference agenda;
 (iv) Inclusion of industrial participation in the form of dedicated presentations, demonstrations, and
 booths/banners to provide opportunities for training and future high-tech employment of young
 professionals including women and underrepresented populations.
These modeling techniques are aimed to provide better focality, targeting accuracy, and improve the overall
efficiency of brain stimulation methods. They will also support promising combinations and derivatives of the
neuromodulation and neurophysiological recordings such as TMS-EEG and TES-EEG. No established
computational methods for modeling these combined modalities currently exist.
The conference will include related topics that share very similar, sometimes identical, computational methods
and tools. We aim to synergistically share these computational tools for maximal benefit and to facilitate
interactions across disciplines.

## Key facts

- **NIH application ID:** 10995012
- **Project number:** 1R13MH137971-01
- **Recipient organization:** WORCESTER POLYTECHNIC INSTITUTE
- **Principal Investigator:** Sergey N Makaroff
- **Activity code:** R13 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $17,500
- **Award type:** 1
- **Project period:** 2024-08-09 → 2026-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10995012

## Citation

> US National Institutes of Health, RePORTER application 10995012, Brain and Human Body Modeling Conference (BHBM) – from Fast and Accurate Computational Modeling to Clinical Practice (1R13MH137971-01). Retrieved via AI Analytics 2026-06-12 from https://api.ai-analytics.org/grant/nih/10995012. Licensed CC0.

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