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.
- During the official poster viewing times, we'll try to have someone at https://meet.jit.si/ohbm2020-1083 who can answer questions (as of now we don't have someone who can be there during the July 2-3 poster session). We also created a google doc where you can submit questions and comments at any time during OHBM
- 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
- Open Science Room Schedule
- Meeting details
- Tuesday-Wednesday June 30 - July 1
- Local Time
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
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
- 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