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A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data
A new, MATLAB based toolbox for the SPM2 software package is introduced which enables the integration of probabilistic cytoarchitectonic maps and results of functional imaging studies and an easy-to-use tool for the integrated analysis of functional and anatomical data in a common reference space. Expand
Coordinate‐based activation likelihood estimation meta‐analysis of neuroimaging data: A random‐effects approach based on empirical estimates of spatial uncertainty
The authors showed that the revised ALE‐algorithm overcomes conceptual problems of former meta‐analyses and increases the specificity of the ensuing results without loosing the sensitivity of the original approach, and may provide a methodologically improved tool for coordinate‐based meta-analyses on functional imaging data. Expand
ALE meta-analysis of action observation and imitation in the human brain
The present meta-analysis summarizes and amends previous descriptions of the human brain networks related to action observation and imitation, and identifies cortical areas consistently involved in action observed and imitation by combining activation likelihood estimation (ALE) meta- analysis with probabilistic cytoarchitectonic maps. Expand
Activation likelihood estimation meta-analysis revisited
The previous permutation algorithm is replaced with a faster and more rigorous analytical solution for the null-distribution and comprehensively address the issue of multiple-comparison corrections. Expand
An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data
It is demonstrated that the effect of motion on rsfc-MRI can be substantially attenuated through improved preprocessing procedures, but not completely removed. Expand
Minimizing within‐experiment and within‐group effects in activation likelihood estimation meta‐analyses
It is suggested that the modified ALE algorithm is theoretically advantageous compared with the current algorithm, and that the alternate organization of datasets is the most conservative approach for typical ALE analyses and other CBMA methods. Expand
Assignment of functional activations to probabilistic cytoarchitectonic areas revisited
The principle approaches for anatomical localisation of functional activations based on probabilistic cytoarchitectonic maps are demonstrated by exemplary analysis of an anterior parietal activation evoked by visual presentation of hand gestures. Expand
Behavioral Interpretations of Intrinsic Connectivity Networks
  • A. Laird, P. Fox, +7 authors P. Fox
  • Computer Science, Medicine
  • Journal of Cognitive Neuroscience
  • 1 December 2011
This work presents a full functional explication of intrinsic connectivity networks at a standard low order decomposition using a neuroinformatics approach based on the BrainMap behavioral taxonomy as well as a stratified, data-driven ordering of cognitive processes. Expand
The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture
A connectivity-based parcellation framework is designed that identifies the subdivisions of the entire human brain, revealing the in vivo connectivity architecture and provides a fine-grained, cross-validated atlas and contains information on both anatomical and functional connections. Expand
Situating the default-mode network along a principal gradient of macroscale cortical organization
An overarching organization of large-scale connectivity that situates the default-mode network at the opposite end of a spectrum from primary sensory and motor regions is described, suggesting that the role of the DMN in cognition might arise from its position at one extreme of a hierarchy, allowing it to process transmodal information that is unrelated to immediate sensory input. Expand