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  1. Courses
  2. OHBM 2018 Annual Meeting Ma...
  3. Educational Courses

Educational Courses

A brief history of imaging genetics

Presentation: Jason Stein, PhD, 43 min 56 sec

ALE and BrainMap

Presentation: Simon B. Eickhoff, MD , 22 min 9 sec

Anatomy in the resting state? Taking a look at receptor patterns

Presentation: Karl Zilles, 38 min 1 sec

An Introduction to Deep Learning Methods

Presentation: Andrew Doyle, 28 min 46 sec

An introduction to network neuroscience

Presentation: Alex Fornito, 31 min 16 sec

Applied anatomy: linking structure and function in the language system

Presentation: Bernard Mazoyer, 32 min 5 sec

Applied epidemiological concepts and analysis considerations

Presentation: Arfan Ikram, 43 min 3 sec

A primer on permutation testing (not only) for MVPA

Presentation: Carsten Allefeld, 35 min 36 sec

Basic epidemiology: what you need to know

Presentation: Henning Tiemeier, 25 min 30 sec

Being the anatomical wiseguy by knowing your landmarks and cables

Presentation: Svenja Caspers, MD, PhD, 37 min 24 sec

Beyond Linear Decoding

Presentation: Pamela Douglas, 23 min 38 sec

Co-activation mapping and parcellation

Presentation: Genon Genon, 21 min 26 sec

Cognitive and behavioral interpretations of time-varying changes in functional connectivity estimates

Presentation: Jessica Cohen, 23 min 38 sec

Computational basis

Presentation: Yaroslav Halchenko, 75 min 42 sec

Connecting genetic variation to gene regulation

Presentation: Bernard Ng, PhD, 30 min 33 sec

Cross-validation : what, which and how?

Presentation: Pradeep Reddy Raamana Ph.D., 31 min 24 sec

Deep learning approaches applied to neuro-imaging

Presentation: Vince Calhoun, 25 min 50 sec

Deep Learning for Segmenting Infant MRI

Presentation: Pim Moeskops , 25 min 58 sec

FAIR Data - BIDS datasets

Presentation: Maryann Martone, Jeffrey Grethe, 107 min 36 sec

Finding the micro in the macro using ultra-high resolution MR imaging

Presentation: Rainer Goebel, 42 min 17 sec

Foundations and potential of meta-analyses

Presentation: Peter Fox, 18 min 30 sec

Generalised Stochastic Blockmodels of Network Topology

Presentation: Dragana Pavlovic, 21 min 38 sec

Generative Adversarial Networks

Presentation: Christopher Beckham, 27 min 8 sec

Hands-on Deep Learning with Keras

Presentation: Anisha Keshavan, 25 min 39 sec

How to Plan and Prepare a Meta-Analysis

Presentation: Robert Langner, PhD, 20 min 1 sec

Inferring mental states from imaging data: OpenfMRI and the Cognitive Atlas

Presentation: Russell Poldrack, 18 min 18 sec

Interpretation of Deep Learning Algorithms for Neuroimaging

Presentation: 39 min 4 sec

Introduction to applied algebraic topology for the analysis of brain networks.

Presentation: Ann Sizemore, 37 min 25 sec

Introduction to network control: Concepts, methods, and applications to neuroscience

Presentation: Emma Towlson, 32 min 50 sec

Introduction to reproducible neuroimaging

Presentation: David Kennedy Ph.D., 17 min 29 sec

Learning and predicting with brain connectivity for clinical neuroscience

Presentation: Jonas Richiardi, 30 min 33 sec

Methods to quantify and ameliorate site effects in multi-site MR data

Presentation: Manjari Narayan, 47 min 9 sec

Models of communication in brain networks

Presentation: Bratislav Misic, 32 min 16 sec

Models of network dynamics

Presentation: Joana Cabral, 36 min 4 sec

Modules in structural and functional brain networks

Presentation: Rick Betzel, 33 min 37 sec

Network infrastructure for integration: hubs and rich club

Presentation: Martijn van den Heuvel, PhD , 39 min 17 sec

Network statistics and thresholding

Presentation: Andrew Zalesky, 35 min 16 sec

Neuroimaging Workflows & Statistics for reproducibility

Presentation: Dorota Jarecka, Satrajit Ghosh, Celia Greenwood, Jean-Baptiste Poline, 227 min 14 sec

Neuroinformatics and Replication: beyond BASH scripts and winner’s curses

Presentation: Xi-Nian Zuo, 34 min 28 sec

Neuroinformatics resources for coordinate and image-based meta-analysis

Presentation: Tal Yarkoni, 18 min 53 sec

Neuronal models of dynamic functional connectivity: Linking scales and data modalities

Presentation: Michael Breakspear, 36 min 6 sec

Null models for networks

Presentation: James Roberts, 30 min 8 sec

Open science resources for neuroimaging research

Presentation: R. Cameron Craddock, 45 min 39 sec

Overview on Meta-Analysis methods

Presentation: Thomas Nichols, 18 min 16 sec

PART I Parcellate the brain using anatomical features: Histological and microstructural architecture. Paula Croxson

Presentation: Paula Croxson, 23 min 37 sec

PART I Parcellate the brain using anatomical features: Tractography based subdivision. Michel Thiebaut de Schotten

Presentation: Michel Thiebaut de Schotten, 24 min 35 sec

PART II Parcellate the brain using functional features: Functional MRI coactivation parcellation. Danilo Bzdok

Presentation: Danilo Bzdock, 37 min 25 sec

PART II Parcellate the brain using functional features: Resting-state functional connectivity subdivision.

Presentation: Lucina Uddin, 29 min 37 sec

PART III Mapping gradients in functional topographies using resting-state functional connectivity.

Presentation: Daniel S. Margulies, PhD CNRS UMR 7225, , 32 min 2 sec

Pattern recognition for clinical neuroimaging: questions, approaches, and validation

Presentation: Ninon Burgos, 27 min 42 sec

Pattern recognition in neuroimaging: fundamentals

Presentation: Janaina Mourão-Miranda, 28 min 43 sec

Perfect data doesn’t exist, let's ensure they are good enough

Presentation: Oscar Esteban, PhD, 42 min 40 sec

Phenotypes, Genotypes & Voxels: A playground next to a nuclear power plant

Presentation: Anqi Qiu, 39 min 24 sec

Population Neuroimaging: A brief introduction to combining neuroimaging with epidemiology

Presentation: Tonya White, MD, PhD, 13 min 41 sec

Practical Intensity Based Meta-Analysis

Presentation: Camille Maumet, 5 min 10 sec

Presentation: Inverse solutions for the reconstruction of cortical activity recorded with MEG/EEG

Presentation: Simon Homölle, 17 min 25 sec

Presentation: MEG/EEG forward modeling using realistically shaped finite element head models

Presentation: Maria Carla Piastra, 47 min 14 sec

Presentation: Preprocessing of MEG/EEG datasets and channel-level analysis

Presentation: Sophie Schrader, 19 min 26 sec

Supervised vs. unsupervised approaches in psychiatric neuroimaging

Presentation: Valeria Kebets, 21 min 25 sec

The devil is in the details: accessing phenotypic data for brain-behaviour relationships

Presentation: Kirstie Whitaker, 44 min 54 sec

The Dynamic Functional Connectome: Methodological Framework

Presentation: Maria Giulia Preti, 34 min 16 sec

The effect of common genetic variation on human brain structure

Presentation: Paul Thompson, 33 min 49 sec

The effect of rare variation on human brain structure

Presentation: Carrie Bearden, 53 min 44 sec

The genetic influences on neuropsychiatric disease risk

Presentation: Sven Cichon, Dr. rer. nat., 53 min 15 sec

Time-varying connectivity: Data-driven approaches and clinical applications

Presentation: Vince Calhoun, 31 min 50 sec

Time-varying connectivity: introduction and terminology

Presentation: Raphael Liegeois, 35 min 35 sec

What can we say about weight maps from linear decoding models?

Presentation: Jessica Schrouff, 25 min 0 sec

What makes a good multivariate model for fMRI-based decoding ?

Presentation: Bertrand Thirion, 26 min 4 sec

Test Quiz

Assessment: 0 questions 1 retake

What we talk about when we talk about 'dynamics' in resting state fMRI

Presentation: Timothy Laumann, 34 min 34 sec

Where macroscopy fails: going to microscopic architecture

Presentation: Katrin Amunts, 33 min 52 sec
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