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HUMAN BRAIN MAPPING FSL COURSE HOW TO
HUMAN BRAIN MAPPING FSL COURSE ARCHIVE
HUMAN BRAIN MAPPING FSL COURSE DOWNLOAD

using HCP-style data currently available from the young adult HCP and HCP Lifespan (Development and Aging) projects.

This course is designed for investigators who are interested in: We are pleased to announce the 2019 HCP Course: "Exploring the Human Connectome", to be held July 8 – 12, 2019 at the at the University Place Hotel and Conference Center at Portland State University in Portland, Oregon, USA. Learn about multimodal neuroimaging data, analysis, visualization, and sharing tools of the Human Connectome Project HCP and Beyond: Looking Back and Forward (David Van Essen) HCP Pipelines Outputs and Results (Tim Brown) HCP-MEG Connectome and Analyses (Linda Larson-Prior)īuilding wb_view Scenes and Sharing on BALSA (Jenn Elam)Ĭlinical Connectome: Application of HCP Methods to Neuropsychiatric Illness (Alan Anticevic)

HUMAN BRAIN MAPPING FSL COURSE ARCHIVE

Lifespan HCP: Development and Aging (Leah Somerville)ĬonnectomeDB, CCF & NIMH Data Archive (Tim Brown, Jenn Elam)ĭemo: Neuroimaging Cloud Basics and NDA (Tim Brown) TfMRI and PALM (Greg Burgess, Anderson Winkler)

Task fMRI and Behavioral Measure Analyses (Greg Burgess) Regression, Prediction & Permutation Analyses (Anderson Winkler)įamily Structure & Heritability (Anderson Winkler) RfMRI Netmats & Dual Regression (Janine Bijsterbosch)ĭiffusion MRI, Distortion Correction & DTI (Jesper Andersson)įiber Orientation Models & Tractography Anlayses (Michiel Cottaar) OPTIONAL: Troubleshooting Pipelines Café, Using Your Own Data (Snacks Provided) Running HCP Pipelines on Lifespan HCP Data (Alan Anticevic) RfMRI Network Analysis Strategies (Janine Bijsterbosch) RfMRI Preprocessing & Denoising (Jenn Elam) RfMRI Preprocessing, Spatial & Temporal Denoising (Matt Glasser) Individual Brain Parcellation (Jenn Elam) Multimodal Classification of Areas in Individuals (Matt Glasser) Turnkey Pipelines in a Container (Alan Anticevic) Structural MRI: Precise Neuroanatomical Localization (Matt Glasser) Lunch (not provided, make own arrangements) HCP Pipelines Orientation (Alan Anticevic)

HUMAN BRAIN MAPPING FSL COURSE DOWNLOAD

(12.00H New York / 18.00H Paris / 24.Download All Lectures | Download All Practicals Half Day Educational Course: Bridging Electrophysiology and Neuroimaging to Understand Brain Dynamics Half Day Educational Course: Time-varying Connectivity in Resting-state fMRI: Methods, interpretations, and clinical useįull Educational Course: Deep Learning for Human Brain Mapping (4.00H New York / 10.00H Paris / 16.00H Beijing)įull Educational Course: Fundamental Concepts and Methods in Network Neuroscience (20.00H New York / 2.00H Paris / 8.00H Beijing)įull Educational Course: Machine Learning for Neuroimaging, Learn the Basics before Going Deeper Half Day Educational Course: Advanced Techniques for Functional and Structural Neuroimaging of the Cerebellumįull Educational Course (Part II): Analysis Methods for Naturalistic Data Half Day Educational Course: EEG Data Acquisition and Appropriate Data Pre-processing: Not so basic after all Half Day Educational Course: Researcher's Guide to the Adolescent Brain Cognitive Development (ABCD) Study: Release 3.0 (10.00H New York / 16.00H Paris / 22.00H Beijing)įull Educational Course(Part I): Analysis Methods for Naturalistic Data Half Day Educational Course: Brain Parcellations and Functional Territories

HUMAN BRAIN MAPPING FSL COURSE HOW TO

Half Day Educational Course: Population Neuroimaging: How to responsibly handle big data in the age of biobanks To register for the Education Course component, please click here:ĮDUCATION COURSES - ENGAGEMENT LOUNGE SCHEDULE Through interactive Q&A, attendees will also have the chance to network with course organizers and presenters by participating in an Engagement Lounge that has been scheduled for each Education Course starting Wednesday, July 15th through Friday, July 17th. Attendees will have the opportunity to watch the pre-recorded content at their leisure. Education Courses will be launched on Monday, July 13 that midnight EDT.