The overall objective of the present proposal is to develop, evaluate, distribute, and apply tools for the BrainMap Project, which provides the human brain mapping (HBM) community with data sets, computational tools, and informatics resources for quantitative meta-analyses and meta-analysis-based data interpretation. The development of coordinate-based, voxel-wise meta-analysis (CVM) has been a breakthrough for HBM, enabling statistically rigorous meta-analysis and systems-level modeling of published results. The HBM literature suitable for CVM meta-analysis was estimated in 2007 to be ~6,000 papers, with ~1000 new conforming papers being published each year. In this renewal, we propose numerous enhancements to widely used coordinate-based meta-analysis tools (Aim 1). Meta-analytic connectivity mapping (MACM) is a new application of CVM, which derives inter-regional connectivity maps from inter-study co-occurrence patterns. In this renewal, we propose to extend the functionality of our MACM tools, construct connectivity atlases through data mining, and validate these atlases by comparison to non-meta-analytic approaches (Aim 2). In BrainMap, behavioral meta-data are coded using a taxonomy developed and progressively refined by the BrainMap team. Recent application of independent component analysis (ICA) to BrainMap extracted intrinsic neural systems that were well, but not perfectly, discriminated by the BrainMap coding scheme. This observation suggests robust computational approaches both for providing a behavioral ontology for intrinsically connected networks and also for programmatic refinement of the BrainMap coding scheme (Aim 3). Finally, it has recently been demonstrated that CVM can be applied to voxel-based morphometry (VBM) structural neuroimaging studies.
In Aim 4, we anticipate the rapid growth of VBM research by creating a BrainMap-like database of the standards- compliant VBM literature. These proposed enhancements and extensions of the BrainMap Project will allow this rich set of neuroinformatics tools to continue to meet the research and educational needs for knowledge discovery and data mining in the neuroimaging community. 1

Public Health Relevance

An extraordinary amount of neuroimaging data has been acquired and analyzed over the last two decades in both healthy subjects and patients diagnosed with various neurologic or psychiatric diseases and disorders. The BrainMap Project aims to improve public health by developing methods that will enable more informed cognitive, perceptual, and motor models of brain function and dysfunction. The proposed research will allow 2

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH074457-08
Application #
8464784
Study Section
Neurotechnology Study Section (NT)
Program Officer
Cavelier, German
Project Start
2005-09-01
Project End
2015-03-31
Budget Start
2013-04-01
Budget End
2014-03-31
Support Year
8
Fiscal Year
2013
Total Cost
$602,922
Indirect Cost
$166,501
Name
University of Texas Health Science Center San Antonio
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
800772162
City
San Antonio
State
TX
Country
United States
Zip Code
78229
Amft, Maren; Bzdok, Danilo; Laird, Angela R et al. (2015) Definition and characterization of an extended social-affective default network. Brain Struct Funct 220:1031-49
Langner, Robert; Cieslik, Edna C; Behrwind, Simone D et al. (2015) Aging and response conflict solution: behavioural and functional connectivity changes. Brain Struct Funct 220:1739-57
Wang, Jiaojian; Yang, Yong; Fan, Lingzhong et al. (2015) Convergent functional architecture of the superior parietal lobule unraveled with multimodal neuroimaging approaches. Hum Brain Mapp 36:238-57
Mihai, Paul Glad; Otto, Mareile; Platz, Thomas et al. (2014) Sequential evolution of cortical activity and effective connectivity of swallowing using fMRI. Hum Brain Mapp 35:5962-73
Wegbreit, Ezra; Cushman, Grace K; Puzia, Megan E et al. (2014) Developmental meta-analyses of the functional neural correlates of bipolar disorder. JAMA Psychiatry 71:926-35
Clos, Mareike; Rottschy, Claudia; Laird, Angela R et al. (2014) Comparison of structural covariance with functional connectivity approaches exemplified by an investigation of the left anterior insula. Neuroimage 99:269-80
Crossley, Nicolas A; Mechelli, Andrea; Scott, Jessica et al. (2014) The hubs of the human connectome are generally implicated in the anatomy of brain disorders. Brain 137:2382-95
Roski, Christian; Caspers, Svenja; Lux, Silke et al. (2014) Activation shift in elderly subjects across functional systems: an fMRI study. Brain Struct Funct 219:707-18
Poeppl, Timm B; Langguth, Berthold; Laird, Angela R et al. (2014) The functional neuroanatomy of male psychosexual and physiosexual arousal: a quantitative meta-analysis. Hum Brain Mapp 35:1404-21
Clos, Mareike; Diederen, Kelly M J; Meijering, Anne Lotte et al. (2014) Aberrant connectivity of areas for decoding degraded speech in patients with auditory verbal hallucinations. Brain Struct Funct 219:581-94

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