Science at Child Mind Institute

Help kids and teens build healthier tech habits! The 10-Minute Challenge by the Child Mind Institute is your chance to create a digital resource that inspires a healthier relationship with technology — with a chance to win up to $5,000! ✅ No coding experience? No problem! We’ll provide access to MindLogger, our no-code platform, with easy instructions to bring your ideas to life. ✅ Open to California high school, undergrad, and graduate students ✅ Gain hands-on experience and recognition while addressing a real-world challenge. Your ideas could inspire real change! Learn more: https://lnkd.in/eUSUgJhj

📣 We are excited to partner with Women in Data Science (WiDS) Worldwide for the 2025 Kaggle WiDS Datathon! #DevelopingBrain #MentalHealth #OpenScience #DataScience #MRI #MachineLearning #WomenInScience #DiversityInSTEM

🤖 In the past year, the Child Mind Institute has organized and co-hosted four Kaggle competitions, leveraging #OpenData from the 𝐇𝐞𝐚𝐥𝐭𝐡𝐲 𝐁𝐫𝐚𝐢𝐧 𝐍𝐞𝐭𝐰𝐨𝐫𝐤. Join the challenges and hone your data science skills!    📣 We are committed to #OpenScience by actively engaging diverse communities in #mentalhealth data exploration and analysis.    1️⃣ 𝐃𝐞𝐭𝐞𝐜𝐭 𝐒𝐥𝐞𝐞𝐩 𝐒𝐭𝐚𝐭𝐞𝐬 𝐂𝐨𝐦𝐩𝐞𝐭𝐢𝐭𝐢𝐨𝐧 😴 aims to enhance researchers' ability to analyze accelerometer data for sleep monitoring, enabling large-scale studies of sleep. Efforts are currently underway to integrate one of the Kaggle models into our analysis pipelines.  https://lnkd.in/e2DfqAwE    2️⃣ 𝐏𝐫𝐨𝐛𝐥𝐞𝐦𝐚𝐭𝐢𝐜 𝐈𝐧𝐭𝐞𝐫𝐧𝐞𝐭 𝐔𝐬𝐞 𝐂𝐨𝐦𝐩𝐞𝐭𝐢𝐭𝐢𝐨𝐧 💻in partnership with Dell Technologies and NVIDIA AI aims to develop a predictive model that analyzes children's physical activity and fitness data to identify early signs of problematic internet use, which can help trigger interventions to encourage healthier digital habits in children and adolescents.    https://lnkd.in/eHargrRb    3️⃣ 𝐔𝐧𝐫𝐚𝐯𝐞𝐥𝐢𝐧𝐠 𝐭𝐡𝐞 𝐌𝐲𝐬𝐭𝐞𝐫𝐢𝐞𝐬 𝐨𝐟 𝐭𝐡𝐞 𝐅𝐞𝐦𝐚𝐥𝐞 𝐁𝐫𝐚𝐢𝐧 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞🧠 in partnership with Women in Data Science (WiDS) Worldwide aims to estimate children’s age from functional connectomes extracted from fMRI recordings of brain activity during resting state. This challenge is designed for course instructors to teach students essential data science and machine learning skills, while sparking discussions on the real-world impact of the results. https://lnkd.in/g-TbsR79  4️⃣ 𝐔𝐧𝐫𝐚𝐯𝐞𝐥𝐢𝐧𝐠 𝐭𝐡𝐞 𝐌𝐲𝐬𝐭𝐞𝐫𝐢𝐞𝐬 𝐨𝐟 𝐭𝐡𝐞 𝐅𝐞𝐦𝐚𝐥𝐞 𝐁𝐫𝐚𝐢𝐧 𝐆𝐥𝐨𝐛𝐚𝐥 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 🧠 in partnership with Women in Data Science (WiDS) Worldwide aims to map brain functional connectomes to ADHD diagnoses in children and adolescents. The development of gender-sensitive assessment approaches is crucial for improving diagnostic accuracy.    https://lnkd.in/esEnZqCJ    #DevelopingBrain #DataScience #Actigraphy #MRI #MachineLearning #WomenInScience #DiversityInSTEM 

Our recent “Investing in the Future” panel featured leaders from Wellcome Trust, McKinsey Health Institute and Kokoro to explore how philanthropic, institutional, and venture funders consider the impact of technology on young people’s mental health. The panelists discussed lessons learned from the rise of social media, the need for preventative education about digital well-being, and the promise of AI and digital tools to enhance mental health interventions and research. Watch the recording here: https://lnkd.in/eAjHD2nG Lauren McLaughlin, Kana Enomoto, Matthew Brown, Gaia Brignone

The Child Mind Institute uses #opendata, such as the Healthy Brain Network (HBN), to address public health challenges. In 2024, our research team published results in JAMA Network Open on the associations between age, motion, medical factors, and psychiatric conditions with incidental findings in brain MRI. https://lnkd.in/eccZKsEK     🧠 Incidental findings (IFs) in MRI are common. Children have 1% to 4% rates of clinically significant IFs, while rates in older adults may be as high as 10%. The clinical associations of common low-acuity findings have not been extensively evaluated, and the impact of motion artifacts, which are common in children, on IF detection is not well-understood. 📊 Results showed IFs in 9.6% of children and 54.9% of adults, with only a small percentage requiring referral for further evaluation - 1.6% of children and 7.1% of adults. The frequency of IFs increased with age and in relation to Body Mass Index (BMI), but no association with sex, household income, head motion, or psychiatric diagnosis was found. ❗Overall, our study's findings show that IFs in brain MRIs are common and increase with age but are rarely clinically significant; IFs detection is costly - $87, 619 in a clinical setting and $16 ,667 per finding in a research setting - and may lead to overidentification of subclinical conditions that would have remained clinically insignificant throughout the remainder of an individual’s life.    ️➡️ Interested in learning about HBN and accessing the data? Find out more at https://lnkd.in/eqymVyVN 📅 Stay tuned to learn about data science competitions featuring the HBN datasets next week! #brain #developingbrain #mentalhealth #publichealth #Neuroimaging  #MRI #AI 

The Healthy Brain Network (HBN) makes all collected phenotypic and neuroimaging data openly available! Check out our scientific data portal to learn more about the initiative and the available datasets: https://lnkd.in/eqymVyVN #developingbrain #mentalhealth #opendata #neuroimaging

The Reproducible Brain Charts (RBC) project openly releases preprocessed MRI datasets from the Healthy Brain Network (HBN) at the Child Mind Institute. 🧠 RBC aggregates structural (sMRI) and functional imaging (fMRI) data from five large, diverse studies of brain development. All raw imaging data and meta-data were carefully curated to conform with the Brain Imaging Data Structure (BIDS) in a fully reproducible fashion.    📄 Adopting a “FAIRly-big” framework for reproducible image processing, all preparation and analysis was accompanied by a full audit trail in DataLad.     🚀 Structural MRI data were processed using FreeSurfer and sMRIPrep, and functional MRI data were preprocessed using C-PAC. Processed structural and functional data were parcellated with 16 commonly used atlases. Find out more at https://lnkd.in/eJjamDea 📅 Stay tuned to learn about public health applications of HBN data next week! #brain #developingbrain #mentalhealth #openscience #OpenData #Neuroimaging #MRI #preprocessing #FAIR #BIDS #AI 

Do you know a teen interested in exploring careers in mental health? Applications for the 2025 Youth Mental Health Academy are now OPEN to California high-school students!⁣ We aim to inspire the next generation of diverse and culturally sensitive mental health leaders by supporting high school students from structurally marginalized groups. Here’s what they’ll gain from the program:⁣ ✅ Paid project-based learning ✅ Summer internships ✅ Mental health knowledge ✅ College and career readiness workshops⁣ Plus, they’ll develop essential life skills, grow their professional network, and discover pathways to a meaningful career in mental health. 📅 Key Dates: Priority Deadline: January 15, 2025 Final Deadline: March 31, 2025 Apply now: https://lnkd.in/eGV7xSc9

The electroencephalography (#EEG) and eye-tracking dataset from the Healthy Brain Network (HBN) at the Child Mind Institute includes data for over 4000 children and adolescent participants. 🧠 This includes data collected during resting state, as well as while engaging in several tasks that assess multiple cognitive functions such as language, emotion, perception, decision-making, and attention. This data represents a valuable resource for advancing our understanding of the neural basis of #mentalhealth disorders in the developing brain.    ➡️ Find out more at https://lnkd.in/eKqFjeMH 📅 Stay tuned to learn about the HBN preprocessed datasets next week! #brain #developingbrain #openscience #OpenData #Neuroimaging #EEG #eyetracking #AI