Cited by 372Functional Brain Connectivity StudiesMeta-analysis and systematic reviewsAdvanced Neuroimaging Techniques and Applications

ALE meta-analysis workflows via the BrainMap database: Progress towards a probabilistic functional brain atlas

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Laird, Angela R.·2009·Frontiers in Neuroinformatics

Abstract

With the ever-increasing number of studies in human functional brain mapping, an abundance of data has been generated that is ready to be synthesized and modeled on a large scale. The BrainMap database archives peak coordinates from published neuroimaging studies, along with the corresponding metadata that summarize the experimental design. BrainMap was designed to facilitate quantitative meta-analysis of neuroimaging results reported in the literature and supports the use of the activation likelihood estimation (ALE) method. In this paper, we present a discussion of the potential analyses that are possible using the BrainMap database and coordinate-based ALE meta-analyses, along with some examples of how these tools can be applied to create a probabilistic atlas and ontological system of describing function-structure correspondences.

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  1. Frishkoff G. A. Dou D. Frank R. LePendu P. Liu H. (2009). Development of Neural Electromagnetic Ontologies (NEMO): representation and integration of event-related brain potentials. Proc. Int. Conf. Biomed. Ontologies (in press).
  2. Schroeter M. L. Raczka K. Neumann J. Yves von Cramon D. (2007). Towards a nosology for frontotemporal lobar degenerations – a meta-analysis involving 267 subjects. Neuroimage 36, 497– 510 17478101
  3. Xiong J. Parsons L. M. Gao J. H. Fox P. T. (1999). Interregional connectivity to primary motor cortex revealed using MRI resting state images. Hum. Brain Mapp. 6, 151– 156 10524607 PMC6873334

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Authors
Laird, A. R.
Affiliations
The University of Texas at San Antonio Health Science Center (US)
Corresponding author
Laird, Angela R.
Venue
Frontiers in Neuroinformatics
Published
2009
Volume
3
Pages
23-23
ISSN
1662-5196 (ISSN-L)
OpenAlex
W1979958927
Cited by
372
References
79
Citations by year
2026: 11 · 2025: 17 · 2024: 17 · 2023: 23 · 2022: 20 · 2021: 22 · 2020: 29 · 2019: 17 · 2018: 26 · 2017: 15 · 2016: 25 · 2015: 26 · 2014: 29 · 2013: 28 · 2012: 29
FWCI
10.85
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Frontiers in Neuroinformatics (publishedVersion, cc-by)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • RWTH Publications (RWTH Aachen) (submittedVersion, other-oa)
Funders
  • National Institutes of Health (5r01mh084812-03)
  • National Institute of Mental Health (R01‐MH084812, R01MH074457, MH084812, MH074457)
  • National Institute on Deafness and Other Communication Disorders (F32DC009116)
  • National Institute of Neurological Disorders and Stroke (T35NS051166)
  • National Center for Research Resources (U24RR021992, RR021992)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Keywords
activation likelihood estimation, ontological systems

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