Lauren D. Hill-Bowen

🚨We are hiring a ⭐️Research Assistant⭐️ to run rTMS 🧲🧠 clinical trials in people with substance use and psychosis @VUMCPsych ! RAs get lots of clinical contact and experience with neuromodulation! Great for someone applying to MD or PhD programs! vumc.wd1.myworkdayjobs.com/vumccareers/jo…

Today's ENIGMA Summit compared over 20 brain disorders in tens of thousands of people scanned with MRI, and suggests that: 1. brain disorders that hit very early, before birth (e.g. those due to genomic copy number variants such as genetic deletions) tend to affect cortical surface area, often excessively in primary sensorimotor cortex 2. neurodevelopmental brain disorders that hit after birth but before adolescence tend to reduce cortical surface area more than (i.e. with greater effect sizes than) they reduce cortical thickness but more in a transmodal association cortex pattern than a primary sensorimotor pattern; these can be split into an strong externalizing and a weak internalizing pattern depending on the disorder type [4] 3. brain disorders that hit after puberty tend to affect cortical thickness, more so than regional cortical surface area, with some exceptions, as do adult onset disorders 4. the last category of mainly-thickness-deficit disorders can have their abnormality decomposed into 3 components - (1) a general component common to all disorders (PC1 in Zhipeng Cao's work [2]), (2) a disorder specific component, and (3) a medication effect; 5. focusing on the first two of these, there is a transdiagnostic covariance [1] that spans the set of disorder effects on the cortex and consists of 2 primary axes of disturbance, G1 and G2 6. to some extent, the amount and anatomical distribution of structural brain deviation in a disorder depends on the location and profile of greatest normal age-related brain change that is normally occurring in healthy people when the disorder hits and can look like an exaggerated version of that change, i.e. 'aging' 7. some of this is set out more formally in the transdiagnostic ENIGMA papers by Meike Hettwer/Sofie Valk on transdiagnostic covariance [1] and brain gradients, and in the linear PCA paper by Zhipeng Cat Hugh Garavan and ENIGMA [2]. For the CNV part see work by Clara Moreau [3], and for the childhood part see work by Sophie Townend and 4 of the ENIGMA neurodevelopmental working groups [unpublished except an abstract]. This is not really obvious until you see all the work presented together (as it was today at the ENIGMA Summit). Links in the thread below. @sofievalk @MMG_Kirschner @ClaraMoreau9 @JulioVillaln1 @kkumar_iitkgp @enigma_bipolar @ENIGMA_Diabetes @ENIGMA_ACRI @SCAN_Lab

🧵1/ Excited to share our latest research conducted with our collaborators Michael Halassa and Ralf Wimmer! Our new paper reveals deficits in conflict processing in schizophrenia dependent on MD-PFC circuits. @HalassaLab @WoodwardLab tinyurl.com/yrav3sz5 1/11

The Vanderbilt Department of Psychiatry @VUMCPsych 🧠is recruiting an Associate or full Professor 🤩 to advance work in mood or anxiety disorders as an Endowed Chair 🪑. Join a vibrant faculty in Nashville! 🎶🏙️ apply.interfolio.com/154225 @VUMC_Insights @VUMCResearch @VUMChealth

Here's a preliminary release of our calculator to explore sample size and scan time to maximize individual-level prediction accuracy: leonoqr.github.io/ORSP_Calculato… Let us know if anything is unclear or if there's bugs. Your feedback is welcome. If you find this calculator helpful for your grant application, etc, please also let us know!

New Work! Reproducible BWAS in *tiny* samples. @hbwardMD, @EveLewandowski, and I use BWAS to link cognition and functional connectivity in individuals with psychotic disorders and then show these links can be observed years *prior to diagnosis* (1/13) biologicalpsychiatryjournal.com/article/S0006-…

🆕 Results from the latest #NIDA-funded #MonitoringtheFuture survey suggest #cannabis and hallucinogen use among adults remained at historic highs in 2023. #MTF @UMich nida.nih.gov/news-events/ne… (1/2)

Multiscale heterogeneity of white matter morphometry in psychiatric disorders | bioRxiv biorxiv.org/content/10.110…

Using normative models pre-trained on cross-sectional data to evaluate longitudinal changes in neuroimaging data | bioRxiv biorxiv.org/content/10.110…

Thank you @VUMChealth for featuring my 🧠🧲research. Here's hoping that increased awareness of the high prevalence of nicotine use in people with psychiatric disorders leads to better treatments! @VUMCPsych @VUMCResearch @NIDAnews discoveries.vanderbilthealth.com/2024/07/can-rt…

Ever ask yourself, what 🧠 network is this? Check out this new tool that allows you to make quantitative comparisons across common network atlases, overcoming issues of variable terminology in the field.

1/11 The poll has ended: 53% (scan time) vs 47% (sample size)! Here's our in-depth take on brain-wide association studies (with a 134-page supplement!): biorxiv.org/content/10.110… Led by @Leon_Oo1 @csabaorban, there are a few twists, so do read till the end! Our previous study ...

Introducing the Action-Mode Network – AMN. Better late than never! 17 years ago, we clumsily called this the Cingulo-opercular Network (CON) based on its anatomy (we weren’t exactly sure what it does). Now we’ve finally got the evidence to give it the functional name it deserves: the Action-mode Network (AMN). Find our arguments here: osf.io/preprints/psya… with the peerless Marc Raichle and the brilliant @gordonneuro. 🧵 ↓

@hbwardMD @StephanHeckers @roscoebradyjr @cately00 @hilary_tindle @EdenEvins Congratulations 👏🏻!! Let’s chat soon, what cool work!

Excited to announce the Notice of Award for my K23, "Network-Targeted Neuromodulation for Nicotine Dependence in Schizophrenia" It truly takes a village, and I have the very best, with a mentorship team of @StephanHeckers @roscoebradyjr @cately00 @hilary_tindle @EdenEvins

Covariates, often lumped as "confounds" or "nuisance regressors" in neuroimaging, have often escaped scrutiny. Should their selection rely on statistical metrics like p-values and R^2? What principles should guide this crucial selection process? (1/5)

Cool paper about making predictions from various types of brain imaging (sMRI, DTI, rsFMRI) - with a tantalizing bet for the future : 👇👇🧠🧠⚡️⚡️

Where should we target brain stimulation to treat #addiction? New review led by @SoleimaniGhazal @EkhtiariHamed show many different lines of evidence converging on the frontopolar cortex. @Brain_Circuits

Are you interested in performing neuroimaging meta-analyses? Look no further than the #NiMARE python library by @taylor_salo et al. Read the publication here doi.org/10.52294/001c.… @phyzang @OHBM

@brainstimgrl @VUMCPsych @hbwardMD It was great meeting you! Brilliant talk ☺️

I had a fantastic time visiting Vanderbilt University Medical Center Psychiatry department today! @VUMCpsych Special thanks to Heather Ward, MD for the invitation! @HBWardMD #psychosis #smokingcessation #neuromodulation

Now available at @NatureComms ! When do adolescents reach adult levels of executive function? We used FOUR independent datasets (N>10,000), behavioral data from 17 distinct EF tasks, and nonlinear modeling to address this and related questions. nature.com/articles/s4146…