Welcome to the Archive of Neuroimaging Meta-Analyses (ANIMA), an online repository
for results of meta-analytic studies based on neuroimaging data. Studies in
this database include findings based upon methods such as Activation Likelihood
Estimation (ALE), or Meta-analytic Connectivity Modelling
(MACM). Study data can be downloaded directly from this site, or
through our convenient stand-alone Volume Viewer application, which is available
for all platforms, and can be downloaded here.
Definition and characterization of an extended social-affective default network.Brain Structure and Function. 220(2): 1031-1049.
In this study, we established a robust mapping of the social-affective default mode network (DMN) and those strongly connected to them (the extended social-affective default network). We performed meta-analytic connectivity modeling and resting-state analyses in the meta-analytically defined DMN regions, and obtained a a conjunction across both connectivity analyses. We then functionally characterized the ensuing regions and performed several cluster analyses. The current work highlights a robustly interconnected network that may be central to introspective, socio-affective, that is, self- and other-related mental processes.
ALE meta-analysis on facial judgments of trustworthiness and attractiveness.Brain Structure and Function. 215(3-4): 209-223.
We conducted an activation likelihood estimation meta-analysis on 16 functional magnetic resonance imaging studies pertaining to facial judgments of trustworthiness and attractiveness. Throughout combined, individual, and conjunction analyses on those two facial judgments, we observed consistent maxima in the amygdala which corroborates our initial hypothesis. This finding supports the contemporary paradigm shift extending the amygdala's role from dominantly processing negative emotional stimuli to processing socially relevant ones. Our data suggest that such a role includes not only "fight-or-flight" decisions but also social behaviors with longer term pay-off schedules, e.g., trustworthiness and attractiveness evaluation.
Parsing the neural correlates of moral cognition: ALE meta-analysis on morality, theory of mind, and empathy.Brain Structure and Function. 217(4): 783-96.
We tested the hypothesis that moral decisions might be implemented in brain areas engaged in "theory of mind" and empathy, by conducting a large-scale activation likelihood estimation (ALE) meta-analysis of neuroimaging studies, which assessed 2,607 peak coordinates from 247 experiments in 1,790 participants.
An investigation of the structural, connectional, and functional subspecialization in the human amygdala.Human Brain Mapping. 34(12): 3247-3266.
We here employed methods for large-scale data mining to perform a connectivity-derived parcellation of the human amygdala based on whole-brain coactivation patterns computed for each seed voxel. Using this approach, connectivity-based parcellation divided the amygdala into three distinct clusters that are highly consistent with earlier microstructural distinctions. Meta-analytic connectivity modelling and functional characterization further revealed that the amygdala's laterobasal nuclei group was associated with coordinating high-level sensory input, whereas its centromedial nuclei group was linked to mediating attentional, vegetative, and motor responses. The results of this model-free approach support the concordance of structural, connectional, and functional organization in the human amygdala.
Characterization of the temporo-parietal junction by combining data-driven parcellation, complementary connectivity analyses, and functional decoding.Brain Structure and Function. 81: 381-392.
We conducted multi-modal connectivity-based parcellation to investigate potentially separate functional modules within right temporoparietal junction (RTPJ). Both task-constrained meta-analytic coactivation mapping and task-free resting-state connectivity analysis independently identified two distinct clusters within RTPJ. Coactivation mapping and resting-state correlations revealed that the anterior cluster increased neural activity concomitantly with a midcingulate-motor-insular network, functionally associated with attention, and decreased neural activity concomitantly with a parietal network, functionally associated with social cognition and memory retrieval, while the posterior cluster showed the exact opposite association pattern.
ALE meta-analysis of action observation and imitation in the human brain.NeuroImage. 50: 1148-1167.
We investigated the neural correlates of action observation and imitation in the human brain, based on 139 functional imaging studies. For both types of task, bilateral networks were found. These did not only involve classic mirror neuron areas such as inferior frontal and inferior parietal cortex, but also dorsal premotor, superior parietal, posterior superior temporal and extrastriate visual areas. Additional analyses revealed the influence of effector used during the action, the instruction given to the subjects, and the involvement of objects during the action.
Is there "one" DLPFC in cognitive action control? Evidence for heterogeneity from co-activation-based parcellation.Cerebral Cortex. 23(11): 2677-2689.
This study shows that the right DLPFC as observed in 4 different experiments of executive action control may be subdivided into 2 distinct subregions -- an anterior-ventral and a posterior-dorsal one -- based on their whole-brain co-activation patterns across neuroimaging studies. The posterior subregion showed increased connectivity with bilateral intraparietal sulci, whereas the anterior subregion showed increased connectivity with the anterior cingulate cortex. Functional characterization revealed the anterior network to be more strongly associated with attention and action inhibition processes, whereas the posterior network was more strongly related to action execution and working memory.
Three key regions for supervisory attentional control evidence from neuroimaging meta-analyses.Neuroscience and Biobehavioural Reviews. 48: 22-34.
We here investigated the core neural correlates of cognitive action control via coordinate-based meta-analyses of brain activity reported for the Stroop, spatial interference, stop-signal and go/no-go tasks. Our study revealed evidence for a pivotal role of the right anterior insula and right inferior frontal junction in supervisory attentional control, as these were the only two regions consistently involved in all four paradigm classes. Furthermore, the anterior midcingulate cortex and pre-supplementary motor area were commonly recruited by all but the go/no-go task.
Tackling the multifunctional nature of Broca's region meta-analytically: co-activation-based parcellation of area 44.Neuroimage. 83: 174-188.
We investigated whether the functional heterogeneity of Broca's region is reflected in distinct modules within cytoarchitectonically-defined left area 44 using meta-analytic connectivity-based parcellation (CBP). Our analysis revealed five separate clusters within left area 44. A post-hoc functional characterization and functional connectivity analysis of these five clusters was then performed, revealing specific and distinct functional characteristics and connectivity patterns. The results demonstrate that left area 44 is heterogeneous, thus supporting anatomical data on the molecular architecture of this region, and provide a basis for more specific interpretations of activations localized in area 44.
Functional Segregation of the Human Dorsomedial Prefrontal Cortex.Cerebral Cortex. : .
In this study, the functional heterogeneity in the dorsomedial prefrontal cortex (dmPFC) was investigated identifying four subregions (rostroventral, rostrodorsal, caudal-right, and caudal-left). Both rostral clusters were functionally connected to the amygdala and hippocampus and associated with mnemonic and social cognitive tasks. The rostroventral cluster exhibited strongest connectivity to the default mode network. Unlike the rostral differentiation, the caudal dmPFC was divided by hemispheres. The caudal-right cluster was strongly connected to a frontoparietal network (dorsal attention network), whereas the caudal-left cluster was strongly connected to the anterior midcingulate cortex and bilateral anterior insula (salience network).