Abstract

The overall objective of the present proposal is to develop, evaluate, distribute, and apply tools for quantitative meta-analysis of the human functional brain mapping (HFBM) literature. The BrainMap database may be used as an internet-based resource for retrieval, coding, and filtering papers that is required for an HFBM meta-analysis. BrainMap has been fully implemented in a multi-platform software environment (Java) and populated with >750 papers and > 3,000 experiments (>20% of the literature meeting our inclusion criteria). It is now proposed: to extend the functionality of coordinate-based, voxel- wise meta-analysis (CVM) (Aim 1); to extend network analysis of CVM datasets (Aim 2); to create optimal high-resolution brain templates for spatial normalization that are representative of large groups of subjects (Aim 3); and to develop methods for returning functional labels and metrics of label likelihood for any given anatomical coordinate and serve these labels through a function-label extension of the Talairach Daemon (Aim 4). In addition, we propose a structured data-sharing plan that will provide a formal means for sharing software tools, meta-analyses, a functional ontology, and coordinate data of the published HFBM literature. Addressing these aims will greatly advance the current status of meta-analysis in functional neuroimaging. The evaluations associated with each development will provide guidance for further development of tools and logistics. ? ?

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH074457-03
Application #
7488760
Study Section
Special Emphasis Panel (ZRG1-MDCN-K (51))
Program Officer
Hirsch, Michael D
Project Start
2006-09-15
Project End
2010-08-31
Budget Start
2008-09-01
Budget End
2009-08-31
Support Year
3
Fiscal Year
2008
Total Cost
$498,019
Indirect Cost

  Institution

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

  Publications

Müller, Veronika I; Höhner, Yvonne; Eickhoff, Simon B (2018) Influence of task instructions and stimuli on the neural network of face processing: An ALE meta-analysis. Cortex 103:240-255
Tahmasian, Masoud; Zarei, Mojtaba; Noori, Khadijeh et al. (2018) Reply to Hua Liu, HaiCun Shi and PingLei Pan: Coordinate based meta-analyses in a medium sized literature: Considerations, limitations and road ahead. Sleep Med Rev 42:236-238
Bzdok, Danilo; Krzywinski, Martin; Altman, Naomi (2018) Machine learning: supervised methods. Nat Methods 15:5-6
Langner, Robert; Eickhoff, Simon B; Bilali?, Merim (2018) A network view on brain regions involved in experts' object and pattern recognition: Implications for the neural mechanisms of skilled visual perception. Brain Cogn :
Tatu, Karina; Costa, Tommaso; Nani, Andrea et al. (2018) How do morphological alterations caused by chronic pain distribute across the brain? A meta-analytic co-alteration study. Neuroimage Clin 18:15-30
Poeppl, Timm B; Donges, Maximilian R; Mokros, Andreas et al. (2018) A view behind the mask of sanity: meta-analysis of aberrant brain activity in psychopaths. Mol Psychiatry :
Palomero-Gallagher, Nicola; Hoffstaedter, Felix; Mohlberg, Hartmut et al. (2018) Human Pregenual Anterior Cingulate Cortex: Structural, Functional, and Connectional Heterogeneity. Cereb Cortex :
Cauda, Franco; Nani, Andrea; Manuello, Jordi et al. (2018) Brain structural alterations are distributed following functional, anatomic and genetic connectivity. Brain 141:3211-3232
Michely, J; Volz, L J; Hoffstaedter, F et al. (2018) Network connectivity of motor control in the ageing brain. Neuroimage Clin 18:443-455
Cauda, Franco; Nani, Andrea; Costa, Tommaso et al. (2018) The morphometric co-atrophy networking of schizophrenia, autistic and obsessive spectrum disorders. Hum Brain Mapp 39:1898-1928

Showing the most recent 10 out of 271 publications