4️⃣ 𝐔𝐧𝐫𝐚𝐯𝐞𝐥𝐢𝐧𝐠 𝐭𝐡𝐞 𝐌𝐲𝐬𝐭𝐞𝐫𝐢𝐞𝐬 𝐨𝐟 𝐭𝐡𝐞 𝐅𝐞𝐦𝐚𝐥𝐞 𝐁𝐫𝐚𝐢𝐧 𝐆𝐥𝐨𝐛𝐚𝐥 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 🧠 in partnership with Women in Data Science 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.

3️⃣ 𝐔𝐧𝐫𝐚𝐯𝐞𝐥𝐢𝐧𝐠 𝐭𝐡𝐞 𝐌𝐲𝐬𝐭𝐞𝐫𝐢𝐞𝐬 𝐨𝐟 𝐭𝐡𝐞 𝐅𝐞𝐦𝐚𝐥𝐞 𝐁𝐫𝐚𝐢𝐧 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 🧠 in partnership with Women in Data Science aims to estimate children’s age from functional connectomes extracted from fMRI recordings of brain activity during resting state.

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.

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.

www.kaggle.com/competitions...

📣 We are committed to #OpenScience by actively engaging diverse communities in #mentalhealth data exploration and analysis.

➡️ Interested in learning about HBN and accessing the data? Find out more at fcon_1000.projects.nitrc.org/indi/cmi_hea...

🧠 HBN openly shares de-identified data with investigators worldwide to accelerate discoveries, including phenotypic, MRI, EEG, and eye-tracking data from children and adolescents.

🤝 HBN uses a community-referred recruitment model by encouraging participation of families who have concerns about mental health or learning in their children and by offering no-cost diagnostic evaluations. We thank all the families that have participated in the HBN study since 2015!

💡 @childmindinstitute.bsky.social focuses on enhancing the understanding, diagnosis, and treatment of mental health and learning disorders in children and adolescents.