This contains materials related to tedana and multi-echo fMRI presented at the Organization for Human Brain Mapping 2020

• The narration for the poster that includes a demonstration of the interactive results report is here and captions for the narration are here.
• The jupyter notebook that was used to create the dynamic report on the poster is: process_three_and_five_echo_datasets.ipynb
• The interactive dynamic report for the 3-echo data shown in this poster is here
• The interactive dynamic report for a 5-echo dataset is here

• Full recording

• Open Science Room Schedule

• Meeting details

• Tuesday-Wednesday June 30 - July 1

• Local Time

Local Time

Full Description

Co-Organizers: Stefano Moia and Daniel Handwerker

Speakers:

• Daniel Handwerker: How to decide if multi-echo fMRI can improve your study
• Elizabeth DuPre: tedana software and community
• César Caballero-Gaudes: Multi-echo beyond preprocessing
• Angela Laird: Multi-echo fMRI in practice

Video of all symposium talks

Official video location will be here, but this currently has restricted access

Local Time

Includes talk by Benedikt Poser: "Multi-echo acquisition for fMRI sensitivity enhancement and data quality control"

• Charles Lynch: 1253 Rapid precision functional mapping of individuals using multi-echo fMRI
• Ramya Varadarajan: 1324 Validating multi-echo fMRI analysis methods across a range of acquisitions
• Stefano Moia: 1509 ICA-based denoising strategies in highly motion correlated tasks with Multi Echo BOLD fMRI
• Hamid Turker: 1742 Multi-echo fMRI and Localization Method Affect Functional Estimates of the Locus Coeruleus
• Roni Setton: 1759 ME-fMRI connectivity associations with behavior using group and individualized parcellation schemes
• Nikou Damestani: 2022 Silent fMRI of auditory and motor functions using coherence-resolved Looping Star
• Brice Fernandez: 2121 Multi-echo EPI of Human Fear Conditioning: Advanced Analysis Using ME-ICA based Denoising
• Stefano Moia: 2332 Multi-session CVR variability within functional networks

• Tanya Procyshyn: 294 Effects of Oxytocin on Neural Reward Processing in Women with and without Autism
• Molly Wilkinson: 475 Relationship between fMRI BOLD signal and MEG theta power in autism spectrum disorders
• Gina Humphreys: 845 Narrative speech production in angular gyrus: autobiographical, event-semantic, and object-semantics
• Karin Kantarovich: 1041 Investigating white matter lesion load, intrinsic functional connectivity, and cognition in aging
• Linda Geerligs: 1223 Data-driven event segmentation of brain activity reveals the temporal hierarchy of brain function
• Giulia Baracchini 1651 Functional Connectivity and Interregional BOLD Signal Variance across Large-scale Networks
• Ottavia Dipasquale: 2324 Unravelling the effects of methylphenidate on the dopaminergic and noradrenergic functional circuits

Note: tedana does not focus on structural uses of multi-echo MRI, but there is a growing literature in this area that highlights now multi-echo sequences can be used. The following posters are both applications and methods that include multi-echo MRI sequences

Links for posters may be here

• Christophe Phillips: 74 Voxel-Based Quantitative MRI reveals spatial patterns of grey matter alteration in MultipleSclerosis
• Bing Yao: 276 A Diffusion Tensor Imaging Study on Assessing the Recovery of Spinal Cord After Injury
• Mark Curtis: 289 Thinner Parahippocampal Area 3 in First-Episode Psychosis in Discovery and Replication Samples
• Kwangyeol Baek: 343 Vascular disruptions in the tau pathology model of Alzheimer disease (rTg4510 mouse)
• Kevin Vallotton: 445 Degenerative cervical myelopathy leads to neuroplasticity of the cervical spinal cord and the brain
• Raihaan Patel: 951 Microstructural Correlates of Cognitive Performance in Aging
• Bart Larsen: 953 Longitudinal development of brain iron is linked to cognition in youth
• Matteo Frigo: 1066 Multi-compartment modelling of diffusion MRI signal shows TE-based volume fraction bias
• Daniel Kor: 1129 Development of an automated processing pipeline for brain MRI-histology correlations
• Julia Huck: 1162 Measuring the bias of draining veins and the vasculature on resting state measures of centrality
• Nora Vandeleene: 1201 Comparison of multiple sclerosis (MS) lesions segmentation using quantitative or FLAIR MR images
• Mahdi Khajehim: 1384 Streamlined Magnetic Resonance Fingerprinting:Whole-brain coverage with deep learning reconstruction
• Yi-An Chen: 1419 Localizing Uni-directional Neural Pathways by MRI: A Theoretical Exploration
• Daniel Pepp: 1449 1D navigators reduce cervical spinal cord area mis-estimation in multi-echo GRE scans
• Benjamin De Leener: 1634 Template registration of spinal cord fMRI data using cerebrospinal fluid segmentation
• Anneke Alkemade: 1792 The multimodal 7 Tesla submillimeter Amsterdam Ultra-high field adult lifespan database (AHEAD)
• Anna Blazejewska: 1845 The orientation-dependence of stria of Gennari ex vivo in high-resolution MRI phase data
• Kevin Sitek: 1859 Mapping the human subcortical auditory system with 3T quantitative MRI,
• Pierre-Louis Bazin: 1900 Nighres: a python toolbox for high-resolution neuroimaging (Software demo)
• Gilles de Hollander: 1907 A standard for the organization of quantitative MRI data: BIDS extension proposal 001
• Gabriel Mangeat: 2031 Repeatability and reproducibility of quantitative synthetic MRI across vendors and field strengths
• Omer Faruk Gulban: 2052 7T in-vivo MRI at 350μm iso. res. using multi echo T2* imaging with flow artifact mitigation
• Robert Frost: 2157 Assessment of vNav prospective motion correction in the HCP Aging study
• Chiara Maffei: 2310 Tractography investigation in acute TBI patients using automatic bundle reconstruction
• Yuhan Ma: 2316 Quantification of Brain Oxygen Extraction Fraction (OEF) Using QSM and a Hyperoxic Challenge