The Phase II multimodal data acquisition (MDA) core provides: 1) state-of-the-art neuroimaging protocols for stable and reliable imaging necessary for Projects 3-5;2) training of principal investigators (Pis) and their support staff on general and practical aspects of acquiring neuroimaging data (e.g., physics of imaging, how to avoid and correct for motion artifacts);and 3) new technological development to answer questions currently posed by the COBRE Pis as well as for future Pis. Specifically, the MDA core will support neuroimaging protocols based on magnetic resonance imaging (MRl), magnetoencephalography (MEG) and electroencephalography (EEG). These protocols include high resolution structural MRl (sMRI) to map brain structure, diffusion tensor MRl (DTI) to map fiber connectivity, functional MRl (fMRI) to characterize changes in blood oxygenation as a consequence of neuronal activation, MEG/EEG to directly monitor neuronal activation with high temporal resolution, and MR spectroscopy (MRS) to measure brain metabolic profiles. The emphasis is on multimodal imaging so each Project PI will acquire imaging data from some combination of the above including concurrent EEG-fMRl or MEG-EEG. Training of Pis and support personnel consists primarily of lectures embedded within weekly meetings and a formal monthly seminar series managed by the administrative, clinical assessment, and mentoring (ACAM) core. New MRl protocols will be developed during Phase II that take full advantage of the 32-channel radio-frequency (RF) coil now available at MRN. New developments include: 1) examining white matter integrity (myelin maps and structural connectivity);2) attaining higher temporal resolution in concurrent EEG-fMRl experiments for studying dynamic changes in functional connectivity;3) developing optimal methods for removal of physiological noise;and 4) optimizing three-dimensional GABA measurement methods to enable reliable measurements over smaller voxels. This core is led by Dr. Cheryl Aine (UNM Radiology) with 25+ years of experience in MEG/EEG methods, along with MR physicists Drs. Arvind Caprihan (MRN) and Stefan Posse (UNM Neurology) who each have 20+ years of experience with MR-based methods. Drs. Larry Wald (MGH), Maurizio Corbetta (WashU) and Tom Eichele (Univ. Bergen) are consultants on this core.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Exploratory Grants (P20)
Project #
5P20GM103472-07
Application #
8708147
Study Section
Special Emphasis Panel (ZGM1-TWD-Y)
Project Start
Project End
Budget Start
2014-05-01
Budget End
2015-04-30
Support Year
7
Fiscal Year
2014
Total Cost
$194,358
Indirect Cost
$44,868
Name
The Mind Research Network
Department
Type
DUNS #
098640696
City
Albuquerque
State
NM
Country
United States
Zip Code
87106
Walton, E; Hibar, D P; van Erp, T G M et al. (2018) Prefrontal cortical thinning links to negative symptoms in schizophrenia via the ENIGMA consortium. Psychol Med 48:82-94
Plis, Sergey M; Amin, Md Faijul; Chekroud, Adam et al. (2018) Reading the (functional) writing on the (structural) wall: Multimodal fusion of brain structure and function via a deep neural network based translation approach reveals novel impairments in schizophrenia. Neuroimage 181:734-747
Marusak, Hilary A; Elrahal, Farrah; Peters, Craig A et al. (2018) Mindfulness and dynamic functional neural connectivity in children and adolescents. Behav Brain Res 336:211-218
Sui, Jing; Qi, Shile; van Erp, Theo G M et al. (2018) Multimodal neuromarkers in schizophrenia via cognition-guided MRI fusion. Nat Commun 9:3028
Thoma, Robert J; Haghani Tehrani, Poone; Turner, Jessica A et al. (2018) Neuropsychological analysis of auditory verbal hallucinations. Schizophr Res 192:459-460
Espinoza, Flor A; Vergara, Victor M; Reyes, Daisy et al. (2018) Aberrant functional network connectivity in psychopathy from a large (N = 985) forensic sample. Hum Brain Mapp 39:2624-2634
Qi, Shile; Calhoun, Vince D; van Erp, Theo G M et al. (2018) Multimodal Fusion With Reference: Searching for Joint Neuromarkers of Working Memory Deficits in Schizophrenia. IEEE Trans Med Imaging 37:93-105
Vergara, Victor M; Weiland, Barbara J; Hutchison, Kent E et al. (2018) The Impact of Combinations of Alcohol, Nicotine, and Cannabis on Dynamic Brain Connectivity. Neuropsychopharmacology 43:877-890
Xie, Hua; Calhoun, Vince D; Gonzalez-Castillo, Javier et al. (2018) Whole-brain connectivity dynamics reflect both task-specific and individual-specific modulation: A multitask study. Neuroimage 180:495-504
Lin, Dongdong; Chen, Jiayu; Perrone-Bizzozero, Nora et al. (2018) Characterization of cross-tissue genetic-epigenetic effects and their patterns in schizophrenia. Genome Med 10:13

Showing the most recent 10 out of 222 publications