Fran Querdasi
@fquerdasi.bsky.social
Research Scientist and Postdoctoral Fellow at Seattle Children’s Research Institute / University of Washington. Chronic pain, social determinants of health, early life adversity, and digital behavioral interventions. 🌻
Congratulations, Meriah! I can't wait to dig in to this paper 🤩
October 30, 2025 at 6:25 PM
Congratulations, Meriah! I can't wait to dig in to this paper 🤩
❤️❤️❤️ thank you for doing this important work!
April 6, 2025 at 5:02 PM
❤️❤️❤️ thank you for doing this important work!
Congratulations, Associate Professor Extrordinaire!!! 🥳🤩
March 21, 2025 at 9:48 PM
Congratulations, Associate Professor Extrordinaire!!! 🥳🤩
Reposted by Fran Querdasi
ATTENTION
If you are someone who had an F31-Diversity (or similar) application submitted this cycle, please DM me here, contact me on signal (jeremymberg.78), or email me at jeremymberg@gmail.com.
I will keep all information confidential.
2/n
If you are someone who had an F31-Diversity (or similar) application submitted this cycle, please DM me here, contact me on signal (jeremymberg.78), or email me at jeremymberg@gmail.com.
I will keep all information confidential.
2/n
February 7, 2025 at 4:06 PM
ATTENTION
If you are someone who had an F31-Diversity (or similar) application submitted this cycle, please DM me here, contact me on signal (jeremymberg.78), or email me at jeremymberg@gmail.com.
I will keep all information confidential.
2/n
If you are someone who had an F31-Diversity (or similar) application submitted this cycle, please DM me here, contact me on signal (jeremymberg.78), or email me at jeremymberg@gmail.com.
I will keep all information confidential.
2/n
Aww thanks so much, Bridget! ☺️ I love working with you too! Very thankful to have such a stellar mentor. You are a fantastic cheerleader, brilliant thought partner, and teacher who brings out the best. I have learned so much from you 🫶
November 29, 2024 at 4:22 AM
Aww thanks so much, Bridget! ☺️ I love working with you too! Very thankful to have such a stellar mentor. You are a fantastic cheerleader, brilliant thought partner, and teacher who brings out the best. I have learned so much from you 🫶
This is exciting because it suggests that the early life gut microbiome might shape functional brain development across early to middle childhood in ways that are relevant for emergence of anxiety and/or depression symptoms which children enter school age. Lots of possibilities for follow-up! 🥳
November 19, 2024 at 8:56 PM
This is exciting because it suggests that the early life gut microbiome might shape functional brain development across early to middle childhood in ways that are relevant for emergence of anxiety and/or depression symptoms which children enter school age. Lots of possibilities for follow-up! 🥳
In sum, this study identifies prospective links between gut microbiome composition, brain functional connectivity networks, and internalizing (depression and anxiety) symptoms across early to middle childhood.
November 19, 2024 at 8:56 PM
In sum, this study identifies prospective links between gut microbiome composition, brain functional connectivity networks, and internalizing (depression and anxiety) symptoms across early to middle childhood.
We found that one microbial profile, that included mostly microbes from the Clostridiales order and Lachnospiraceae family, was indirectly associated with internalizing symptoms through a brain signature characterized by alterations in connectivity within emotion-related networks.
November 19, 2024 at 8:56 PM
We found that one microbial profile, that included mostly microbes from the Clostridiales order and Lachnospiraceae family, was indirectly associated with internalizing symptoms through a brain signature characterized by alterations in connectivity within emotion-related networks.
Finally, we tested whether any microbiome features (microbial profiles or alpha diversity) were indirectly associated with internalizing symptoms via the brain signatures.
November 19, 2024 at 8:56 PM
Finally, we tested whether any microbiome features (microbial profiles or alpha diversity) were indirectly associated with internalizing symptoms via the brain signatures.
In this study, we used sPLS to identify linear combinations of brain networks ("brain signatures") at age 6 that maximally covaried with internalizing symptoms at age 7.5 years, and then identified microbe abundances ("microbial profiles") at age 2 that maximally covaried with the brain signatures.
November 19, 2024 at 8:56 PM
In this study, we used sPLS to identify linear combinations of brain networks ("brain signatures") at age 6 that maximally covaried with internalizing symptoms at age 7.5 years, and then identified microbe abundances ("microbial profiles") at age 2 that maximally covaried with the brain signatures.
Studying the brain and gut microbiome together is challenging since both are very complex and high-dimensional. One possible solution is to use multivariate machine learning techniques, such as sparse partial least squares regression (sPLS).
November 19, 2024 at 8:56 PM
Studying the brain and gut microbiome together is challenging since both are very complex and high-dimensional. One possible solution is to use multivariate machine learning techniques, such as sparse partial least squares regression (sPLS).