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. ? ?
| Müller, Veronika I; Cieslik, Edna C; Laird, Angela R et al. (2018) Ten simple rules for neuroimaging meta-analysis. Neurosci Biobehav Rev 84:151-161 |
| Genon, Sarah; Reid, Andrew; Li, Hai et al. (2018) The heterogeneity of the left dorsal premotor cortex evidenced by multimodal connectivity-based parcellation and functional characterization. Neuroimage 170:400-411 |
| Riedel, Michael C; Yanes, Julio A; Ray, Kimberly L et al. (2018) Dissociable meta-analytic brain networks contribute to coordinated emotional processing. Hum Brain Mapp 39:2514-2531 |
| Nostro, Alessandra D; Müller, Veronika I; Varikuti, Deepthi P et al. (2018) Predicting personality from network-based resting-state functional connectivity. Brain Struct Funct 223:2699-2719 |
| Tahmasian, Masoud; Noori, Khadijeh; Samea, Fateme et al. (2018) A lack of consistent brain alterations in insomnia disorder: An activation likelihood estimation meta-analysis. Sleep Med Rev 42:111-118 |
| Eickhoff, Simon B; Constable, R Todd; Yeo, B T Thomas (2018) Topographic organization of the cerebral cortex and brain cartography. Neuroimage 170:332-347 |
| Varikuti, Deepthi P; Genon, Sarah; Sotiras, Aristeidis et al. (2018) Evaluation of non-negative matrix factorization of grey matter in age prediction. Neuroimage 173:394-410 |
| Liloia, Donato; Cauda, Franco; Nani, Andrea et al. (2018) Low entropy maps as patterns of the pathological alteration specificity of brain regions: A meta-analysis dataset. Data Brief 21:1483-1495 |
| Kotkowski, Eithan; Price, Larry R; Mickle Fox, P et al. (2018) The hippocampal network model: A transdiagnostic metaconnectomic approach. Neuroimage Clin 18:115-129 |
| Vanasse, Thomas J; Fox, P Mickle; Barron, Daniel S et al. (2018) BrainMap VBM: An environment for structural meta-analysis. Hum Brain Mapp 39:3308-3325 |
Showing the most recent 10 out of 271 publications
