<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Personalized Neuromodulation | Penghui Du</title><link>https://penghui-du.com/tag/personalized-neuromodulation/</link><atom:link href="https://penghui-du.com/tag/personalized-neuromodulation/index.xml" rel="self" type="application/rss+xml"/><description>Personalized Neuromodulation</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Mon, 02 Mar 2026 00:00:00 +0000</lastBuildDate><image><url>https://penghui-du.com/media/icon_hue26c46758de85a523a034b4bef513ea5_37601_512x512_fill_lanczos_center_3.png</url><title>Personalized Neuromodulation</title><link>https://penghui-du.com/tag/personalized-neuromodulation/</link></image><item><title>Precision Brain Mapping for Personalized TMS Targeting</title><link>https://penghui-du.com/project/precision-tms-targeting/</link><pubDate>Mon, 02 Mar 2026 00:00:00 +0000</pubDate><guid>https://penghui-du.com/project/precision-tms-targeting/</guid><description>&lt;p>Transcranial magnetic stimulation (TMS) is used clinically to treat depression, but
the choice of stimulation target varies widely in practice. Targets may come from
scalp-based heuristics, from group-average functional maps, or from an individual&amp;rsquo;s
own functional connectivity.&lt;/p>
&lt;p>This project investigates precision brain mapping for personalized TMS by directly
comparing &lt;strong>empirical, group-level, and individualized targeting strategies&lt;/strong>. I am
assessing how much each approach actually improves targeting precision, how much
data it requires, and where the practical trade-offs lie for clinical use.&lt;/p>
&lt;p>Work carried out in the &lt;a href="https://bucknerlab.fas.harvard.edu" target="_blank" rel="noopener">Buckner Lab&lt;/a> at
Harvard, supported by the EPFL/HMS Bertarelli Fellowship.&lt;/p></description></item></channel></rss>