Chris Camp - @chrisclaycamp.bsky.social
@chrisclaycamp
Followers
263
Following
443
Media
13
Statuses
99
@Yale_INP PhD student. Statistical methods in neuroimaging. Local 33 eboard. Any pronouns
New Haven, CT
Joined March 2019
Likewise! A wonderful first @FIT_NGIn meeting!
Had a FANTASTIC time today co-presenting with @chrisclaycamp on our work developing globally generalizable normative growth curves of infant visual neurodevelopment using #GAMLSS at #fitng2024 👶🏻🧠⚡️🌍 #babybrains #eeg
0
0
6
🚨Attn fellow scientists! If you’ve reviewed for or published in these journals you can be part of this @LucinaUddin taking her natural knack for leadership to the legal realm 💪🏽 https://t.co/DLsqYjE7GO
Major academic publishers are getting sued for unlawfully appropriating billions of dollars. Prof. Lucina Qazi Uddin, a neuroscientist at UCLA, has sued these six academic publishers Elsevier, Wolters Kluwer, Wiley, Taylor & Francis, Sage, and Springer Nature. The lawsuit
0
8
12
Really cool work from my lab mate @RosenblattMatt! I’m excited to be a part of it. Check it out in @NatureHumBehav:
Curious about power in the external validation of brain-phenotype predictive models? Our paper "Power and reproducibility in the external validation of brain-phenotype predictions" was just published in @NatureHumBehav
0
0
3
Hey @OHBM_Trainees, my lab https://t.co/1dfz6IVpTW is recruiting for a postdoc and a neuroimaging data analyst / software developer. DM me or email afmejia@iu.edu if you're interested in meeting up during #OHBM2024!
statmindlab.com
What can we do with functional MRI data? For many years, fMRI has been used to discover population-level patterns of brain function, organization and connectivity, and to understand differences in...
0
10
23
I’m excited to share that the first paper of my thesis work is finally out! A modernized approach to studying high throughput, freely moving social behaviors in marmosets. Grateful for all the support from my advisors and labs!
Super excited to share new work! Fully automated platform (scalable) for studying cooperation in freely moving marms. Hope many will adopt this platform. Multi-PI collab work w/ @neural_nandy and Monka Jadi. Led by super talented @OliviaMeisner . https://t.co/YQQbzpJ8ab
@eLife
2
6
31
Excited to share that our paper "Data leakage inflates prediction performance in connectome-based machine learning models" is now out in @NatureComms
https://t.co/ZCwD2TGuqu (with @LinkTejavibulya, @925452096Andy, @sNeuroble, and @DScheinost )
nature.com
Nature Communications - The effects of data leakage on predictive models in neuroimaging studies are not well understood. Here, the authors show that data leakage via feature selection and repeated...
Ever wondered how data leakage can affect neuroimaging (specifically functional/structural connectivity) predictive models? Check out our new preprint⬇️ https://t.co/hjC4ncR1yt
0
17
43
BEYOND excited to share my FIRST first-author paper outlining a new perspective of biological embedding: demonstrating how DOHaD-characterized prenatal influences/exposures shape postnatal sensitive/critical period mechanisms to produce lasting effects
onlinelibrary.wiley.com
Early environments can have significant and lasting effects on brain, body, and behavior across the lifecourse. Here, we address current research efforts to understand how experiences impact neurod...
Excited to share a piece with the incredible @emma_margolis integrating DOHaD and sensitive/critical period frameworks to provide new perspective on biological embedding mechanisms from pre- to post-natal neurodevelopment! Please RT and give it a read! https://t.co/FMP9q9DC2y
7
8
65
We won our union! We are the largest union of federal employees to form in more than a decade, and the first union of Fellows ever at a federal research facility. We’ve made history together. 💪
8
213
647
Why is everyone talking about localization these days? Where did this come from? Should I even care? @psychonetrics @PessoaBrain @DScheinost & I reflect on how past practices influence where we are today & how recent trends prompt us to reframe our work https://t.co/73qJF8n5oG
6
28
71
We know how sample sizes affect power in association studies, but what about external validation? Check out this amazing work lead by @RosenblattMatt! I’m really excited to have been a part of this 🔎
Interested in external validation in neuroimaging? Check out our new preprint “Power and reproducibility in the external validation of brain-phenotype predictions” ⬇️ https://t.co/lJSl8UIjV4
0
0
4
📢 Faculty job @YaleNeuro 📢 We are hiring tenure track faculty members! Seeking candidates in neuroscience at large who will join a richly collaborative community that strives to foster an inclusive research environment. Deadline Oct. 15. Please share! https://t.co/UXQ7SqbOAQ
1
149
241
I'm thrilled to share our new paper on #eatingdisorders out now in @NatMentHealth! https://t.co/nB3SYoirmj 'Assessing a multivariate model of brain-mediated genetic influences on disordered eating in the ABCD cohort' 🧬🧠📉 Here's a brief 🧵
5
32
94
Great dataset for anyone studying MDD/development! Longitudinal multi-echo rsfMRI, rich behavioral dataset, some treatment as well
So happy to announce release of resting state data from the NIMH Characterization and Treatment of Depression (CAT-D) study. This includes 467 sessions from 130 participants (50 HV, 80 MDD) with 8 minutes of multi-echo resting state data per scan:
0
3
13
So excited to present this work @OHBM @OHBM_Trainees! Come by my poster #561 at Sun, Jul 23 | 12:15 PM – 2:15 PM Mon, Jul 24 | 2:00 PM – 3:00 PM oral session at Mon Jul 24 | 11:00 AM - 12:15PM Room 210A-F Non-native language barrier cannot stop my passion to know you!!!
Excited to share our latest work revealing that the functional organization of human cortex is reflected in the spatial variability of its cellular composition. w/@AvramHolmes @KevinMAnder Hao-Ming Dong @SidChop @elvisha9 Prashant Emani @DanielMargulies! https://t.co/t0YqvVWBQw
1
6
52
Full poster ⬇️⬇️ Presenting today 12:15-14:15, tomorrow 13:00-15:00, and speaking Thursday at 11:30
1
0
6
Effect size and classification accuracy are concepts at the center of neuroimaging, but how are they related? Check out my #OHBM2023 poster #275 to hear about it! And be sure to catch my talk @ the Neuroimaging Statistics satellite🛰️! https://t.co/vsUIgEf1kn
1
5
22
A bit late in posting this … Now out (and on the cover!) of the June issue of AJP: “Transdiagnostic Connectome-Based Prediction of Craving“ Using task-based functional connectomes, we predicted self-reported cravings in 274 individuals with CPM. https://t.co/h1wovxAOl9
psychiatryonline.org
Objective:Craving is a central construct in the study of motivation and human behavior and is also a clinical symptom of substance and non-substance-related addictive disorders. Thus, craving...
1
24
45
One of the coolest projects I’ve gotten to work on - amazing work from @JDadashkarimi and team to apply optimal transport to solve a major problem in fMRI connectomics. Includes an open access web tool for transforming connectomes across atlases! Check out CAROT🥕
In new work out in Medical Image Analysis, we present CAROT: Cross Atlas Remapping via Optimal Transport. CAROT touches on some of the vibrant areas of functional MRI, predictive modeling, neuroimaging, & connectomics including privacy & open science 1/16 https://t.co/mVhmCZarfB
0
0
6