Difference between revisions of "ENIGMA MEG Working Group"

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[http://enigma.ini.usc.edu/ The ENIGMA Consortium]<br>
UNDER CONSTRUCTION
 
 
[http://enigma.ini.usc.edu/ongoing/enigma-meg-working-group/ The ENIGMA MEG Working Group]</br>
   
[http://enigma.ini.usc.edu/ The ENIGMA Consortium]
 
[http://enigma.ini.usc.edu/ongoing/enigma-meg-working-group/ The ENIGMA MEG Working Group]
 
 
==Enigma Project - MEG working group==
 
==Enigma Project - MEG working group==
 
The goal of the ENIGMA MEG Working Group is to explore the spatiotemporal patterns of brain oscillatory activity, and determine how these patterns relate to age, gender, and common genetic variants. Data from numerous modalities have demonstrated a hierarchical organization of the brain from sensory systems to higher cortical areas. There is some evidence that this hierarchical organization may also be reflected in the spatial distribution of intrinsic timescales of activity. This ENIGMA working group intends to explore these patterns across the lifespan. To achieve the highest possible number of subjects, this needs to be done by meta-analysis.<br>
 
The goal of the ENIGMA MEG Working Group is to explore the spatiotemporal patterns of brain oscillatory activity, and determine how these patterns relate to age, gender, and common genetic variants. Data from numerous modalities have demonstrated a hierarchical organization of the brain from sensory systems to higher cortical areas. There is some evidence that this hierarchical organization may also be reflected in the spatial distribution of intrinsic timescales of activity. This ENIGMA working group intends to explore these patterns across the lifespan. To achieve the highest possible number of subjects, this needs to be done by meta-analysis.<br>

Revision as of 14:43, 15 December 2021

The ENIGMA Consortium
The ENIGMA MEG Working Group

Enigma Project - MEG working group

The goal of the ENIGMA MEG Working Group is to explore the spatiotemporal patterns of brain oscillatory activity, and determine how these patterns relate to age, gender, and common genetic variants. Data from numerous modalities have demonstrated a hierarchical organization of the brain from sensory systems to higher cortical areas. There is some evidence that this hierarchical organization may also be reflected in the spatial distribution of intrinsic timescales of activity. This ENIGMA working group intends to explore these patterns across the lifespan. To achieve the highest possible number of subjects, this needs to be done by meta-analysis.

Allison Nugent, PhD, ENIGMA MEG Chair
Jeff Stout, PhD, Lead Scientist
Anna Namyst, Project Coordinator

MEG Working Group: Participating Institutions

  • NIH/NIMH
  • NIH/NICHD
  • University of Pittsburgh
  • Aston University, UK
  • Children's Hospital of Philadephia
  • University of Pittsburgh
  • Universiti Teknologi PETRONAS
  • Advent Health for Children
  • McGill University, Montreal Neurological Institute
  • University of Texas Southwestern
  • IRCCS San Camillo Hospital Venice
  • University of Alabama, Birmingham
  • Cambridge University
  • Salisbury VA Medical Center, Wake Forest University, Wake Forest School of Medecine
  • University of Jyväskylä, Finland
  • The Mind Research Network
  • DNISC (Università degli Studi G.D'Annunzio Chieti Pescara)
  • New York University and NYU Abu Dhabi
  • Arkansas Childrens Hospital
  • Nemours DuPont Hospital for Children and Thomas Jefferson University
  • Johannes Gutenberg University, Mainz, Germany (Biomedical statistics and multimodal signal processing Unit)
  • University of Göttingen + University of Tübingen
  • Macquarie University
  • National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
  • NeuroSpin
  • Massachusetts General Hospital
  • Precision Medicine Centre, Hokuto Hospital
  • Precision Medicine Centre, Kumagaya General Hospital
  • Universiti Sains Malaysia
If you are interested in participating in this project, please email the project coordinator, Anna Namyst, for more information.

Data Analysis

Data analysis will be available in two flavors: 1) upload coregistered anonymized data to NIH, 2) perform analysis at acquisition site using EnigmaMeg scripts

Upload Data to be analyzed on NIH Biowulf cluster

Instructions for data preperation and upload

 ENIGMA_MEG_data_upload

Potential MEG Subanalyses

 Healthy Volunteers
 Epilepsy
 Alzheimer's and dementia
 Motor Analysis
 Language Processing
 Anxiety Disorders
 Schizophrenia and related disorders
 Developmental disorders
 Traumatic Brain Injury
 Stroke