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ForwardPredictive Models in Neuroimaging
Overview
Predictive models play a crucial role in advancing precision psychiatry by enabling data-driven insights into individual differences in brain function and clinical outcomes. Unlike traditional group-level analyses, predictive modeling leverages machine learning to forecast future states or identify risk patterns at the individual level. This approach has the potential to support early detection, tailor interventions, and improve prognosis in mental health by integrating neuroimaging biomarkers into clinical decision-making frameworks.
This 5-hour workshop provides an introduction to cutting-edge predictive modeling techniques applied to neuroimaging data, with a focus on understanding developmental trajectories in neuropsychopathology. Participants will explore how functional activation and resting-state functional connectivity derived from fMRI data can be harnessed to forecast cognitive and clinical outcomes in youth and adolescent populations.
Please note that additional details, including a breakdown of the workshop structure, information about course instructors, and supplementary workshop materials, will be provided.
Pricing
MDs/Doctoral-Level Professionals/Other Professionals: $300.00
Students/Fellows/Trainees/Interns: $150.00
*Note: You DO NOT need to be registered for the 5th Annual Conference on Precision Psychiatry: Innovation to Implementation on Sept 25 - Sept 26 to register for a workshop.
Target Audience
This workshop is ideal for graduate students, researchers, and clinicians with a basic understanding of neuroimaging and an interest in machine learning applications in neuroscience. No prior experience in predictive modeling or fMRI is required.
Learning Objectives
- Understanding the principles of predictive modeling in the context of fMRI data.
- Exploring the role of functional activation and functional connectivity in forecasting developmental and clinical outcomes.
- Gaining hands-on experience with preprocessing and feature extraction from resting-state fMRI data.
- Applying predictive modeling techniques to real-world neuroimaging datasets using CONN.
Outcomes:
By the end of the workshop, participants will be equipped with foundational knowledge and practical skills to start incorporating predictive modeling techniques into their own neuroimaging research.
Contact:
For any questions on registration, please email mghctrprecisionpsych@mgh.harvard.edu. For workshop-specific questions, please email Dr. Alfonso Nieto Castañón at alfnie@bu.edu or Dr. Susan Whitfield-Gabrieli at sgabrieli@mgh.harvard.edu
Register/Take course
Price
This optional workshop supplements the 5th Annual Conference on Precision Psychiatry: Innovation to Implementation. Space is limited, and the cost is in addition to the registration fees to attend the conference.
This workshop is not eligible for further discounting than what is indicated above.