Connectivity-Based Parcellation of Human Cingulate Cortex and Its Relation to Functional Specialization

By M. Beckmann, Heidi Johansen-Berg, Matthew F. S. Rushworth. Journal of Neuroscience, 2009

778 citations recorded by the source corpus.

Whole-brain neuroimaging studies have demonstrated regional variations in function within human cingulate cortex. At the same time, regional variations in cingulate anatomical connections have been found in animal models. It has, however, been difficult to estimate the relationship between connectivity and function throughout the whole cingulate cortex within the human brain. In this study, magnetic resonance diffusion tractography was used to investigate cingulate probabilistic connectivity in the human brain with two approaches. First, an algorithm was used to search for regional variations in the probabilistic connectivity profiles of all cingulate cortex voxels with the whole of the rest of the brain. Nine subregions with distinctive connectivity profiles were identified. It was possible to characterize several distinct areas in the dorsal cingulate sulcal region. Several distinct regions were also found in subgenual and perigenual cortex. Second, the probabilities of connection between cingulate cortex and 11 predefined target regions of interest were calculated. Cingulate voxels with a high probability of connection with the different targets formed separate clusters within cingulate cortex. Distinct connectivity fingerprints characterized the likelihood of connections between the extracingulate target regions and the nine cingulate subregions. Last, a meta-analysis of 171 functional studies reporting cingulate activation was performed. Seven different cognitive conditions were selected and peak activation coordinates were plotted to create maps of functional localization within the cingulate cortex. Regional functional specialization was found to be related to regional differences in probabilistic anatomical connectivity.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/40b97b06432aa3977bd70ecea89c3b87bcfa6ea4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Diffusion MRI at 25: Exploring brain tissue structure and function (2012, background): “…(Anwander et al., 2007; Klein et al., 2007); dorsal and ventral premotor cortex (Schubotz et al., 2010; Tomassini et al., 2007); regions within the lateral posterior parietal cortex (Mars et al., 2011), as well as regions within the cingulate (Beckmann et al., 2009; JohansenBerg et al., 2008).”
Whole-brain anatomical networks: Does the choice of nodes matter? (2010, background): “For example, Beckmann et al., 2009 segmented the cingulate cortex into 9 subregions based on its connectivity profile with 11 target regions, including the hippocampus , amygdala, orbitofrontal, parietal, precentral and prefrontal cortex.”
The Computation of Stimulus Values in Simple Choice (2014, background): “In contrast, the dmPFC (sometimes similar regions are labeled as areas of dorsal ACC) is heavily inter- connected with both supplementary motor areas and areas of vmPFC thought to be involved in valuation, but not with sensory areas (Beckmann et al., 2009; Picard and Strick, 2001).”
Informatic parcellation of the network involved in the computation of subjective value. (2014, background): “Similarly, action value signalswhich take into account the action costs associated with the choice of a particular optionare also commonly attributed to ACC (Rangel and Hare, 2010; O'Doherty, 2011).”
Tractography - where do we go from here? (2011, neutral): “Instead of modeling a single PDD, they model a number of directions of preferred (Anwander et al., 2007; Beckmann et al., 2009; Behrens et al., 2003b; Johansen-Berg et al., 2004; Tomassini et al., 2007) and (b) (Johansen-Berg et al., 2008). diffusion, and estimate these directions (as well as the…”
The Attention System of the Human Brain: 20 Years After (2012, background): “For example, the instruction to avoid arousal during processing of erotic events (Beauregard et al. 2001) or to ward off emotion when looking at negative pictures (Ochsner et al. 2002) produces a locus of activation in midfrontal and cingulate areas.”
Subregions of the human superior frontal gyrus and their connections (2013, positive): “DTT was used to estimate the averaged connection probability between each subregion of the bilateral SFGs and every region of the 42 target regions within the same hemisphere.”
The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture (2016, positive): “Here, we used across-subject consistency as the key cluster-validity criterion,which is in linewith previouswork (Beckmann et al. 2009; Liu et al. 2013; Fan et al. 2014; Neubert et al. 2014), but may introduce a bias against more (spatially) variable patterns.”
The feedback-related negativity (FRN) revisited: New insights into the localization, meaning and network organization (2014, methodology): “Because the dACC is densely connected to motor regions (Beckmann et al., 2009; Paus, 2001) as well as to areas which process RPEs, such as the dlPFC (Bates and Goldman-Rakic, 1993; Pandya et al., 1981), vmPFC (Morecraft and Van Hoesen, 1998), the amygdalae (Beckmann et al., 2009; Morecraft et al.,…”
Connectivity profiles reveal the relationship between brain areas for social cognition in human and monkey temporoparietal cortex (2013, methodology): “The target voxels’ coordinates in MNI standard 2-mm space were based on previously published studies from other groups: ACC, 4 42 6 (42), PCC, 4 −42 30 (43), CMA, in particular the rostral cingulate zone, posterior division, 4 6 42 (44), and AI, 38 18 −2 (45).”
Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex (2017, background): “For example, it has been shown that the anterior cingulate35 cortex (ACC) exhibits a great amount of heterogeneity in structural (Beckmann et al., 2009) and functional connectivity (Margulies et al., 2007), despite the fact that it is typically represented as a single ROI in a standard anatomical…”
Neurophysiology of performance monitoring and adaptive behavior. (2014, background): “Cyto- and receptor architecture as well as connectivity data suggest that the pMFC is subdivided into different regions (31, 284, 404, 405, 556).”