Cited by 169Functional Brain Connectivity StudiesNeural and Behavioral Psychology StudiesMotor Control and Adaptation

The role of anterior midcingulate cortex in cognitive motor control: Evidence from functional connectivity analyses

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Hoffstaedter, Felix, Grefkes, Christian, Caspers, Svenja, Roski, Christian, Palomero‐Gallagher, Nicola, Laird, Angie R., Fox, Peter T., Eickhoff, Simon B.·2014·Human Brain Mapping

Abstract

The rostral cingulate cortex has been associated with a multitude of cognitive control functions. Recent neuroimaging data suggest that the anterior midcingulate cortex (aMCC) has a key role for cognitive aspects of movement generation, i.e., intentional motor control. We here tested the functional connectivity of this area using two complementary approaches: (1) resting‐state connectivity of the aMCC based on fMRI scans obtained in 100 subjects, and (2) functional connectivity in the context of explicit task conditions using meta‐analytic connectivity modeling (MACM) over 656 imaging experiment. Both approaches revealed a convergent functional network architecture of the aMCC with prefrontal, premotor and parietal cortices as well as anterior insula, area 44/45, cerebellum and dorsal striatum. To specifically test the role of the aMCC's task‐based functional connectivity in cognitive motor control, separate MACM analyses were conducted over “cognitive” and “action” related experimental paradigms. Both analyses confirmed the same task‐based connectivity pattern of the aMCC. While the “cognition” domain showed higher convergence of activity in supramodal association areas in prefrontal cortex and anterior insula, “action” related experiments yielded higher convergence in somatosensory and premotor areas. Secondly, to probe the functional specificity of the aMCC's convergent functional connectivity, it was compared with a neural network of intentional movement initiation. This exemplary comparison confirmed the involvement of the state independent FC network of the aMCC in the intentional generation of movements. In summary, the different experiments of the present study suggest that the aMCC constitute a key region in the network realizing intentional motor control. Hum Brain Mapp 35:2741–2753, 2014 . © 2013 Wiley Periodicals, Inc .

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Crossref · 10.1002/hbm.22363

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  • Findingown data

    An activation likelihood estimation over coordinates from those experiments found convergent co-activation in a large-scale network including MCC, SMA, pre-SMA, DLPFC, lateral premotor cortex, IPS, SPL, IPL, areas 44 and 45, IFJ, anterior insula, fusiform gyrus, left M1, left S1, and left middle temporal gyrus.

    “The subsequent ALE over all coordinates reported by these studies revealed convergent co-activation in a large-scale network consisting of MCC”
    Quote in the paperSubstantial claim
  • Findingown data

    The two methods-resting-state connectivity and MACM-both identified a similar functional network for the aMCC, comprising prefrontal, premotor, and parietal cortices, anterior insula, area 44/45, cerebellum, and dorsal striatum.

    “Both approaches revealed a convergent functional network architecture of the aMCC with prefrontal, premotor and parietal cortices as well as anterior insula, area 44/45, cerebellum and dorsal striatum.”
    Quote in the paperSubstantial claim
  • Findingown data

    The overall functional connectivity network of the aMCC seed comprised MCC (aMCC areas a24′, 32′; pMCC area p24′), SMA (area 6), pre-SMA, left area 45, and bilaterally DLPFC, area 44, IFJ (areas IFJ1,2), anterior insula, lateral premotor cortex, IPL (area PFm; left area PFt), and IPS (areas hIP1-3).

    “The resulting overall FC network of the aMCC seed comprises MCC (aMCC: areas a24′, 32′, pMCC: area p24′), SMA (area 6), pre-SMA and left area 45 together with DLPFC, area 44, IFJ (areas IFJ1,2), aIns, lateral premotor cortex, IPL (area PFm; left area PFt) and IPS (area hIP1–3)—all in both hemispheres (Fig. 5A).”
    Quote in the paperSubstantial claim
  • Findingown data

    Cognitive tasks produced stronger convergence in supramodal association regions of the prefrontal cortex and anterior insula.

    “While the “cognition” domain showed higher convergence of activity in supramodal association areas in prefrontal cortex and anterior insula,”
    Quote in the paperSubstantial claim
  • Findingown data

    In action-related experiments, higher convergence was found in somatosensory and premotor areas.

    ““action” related experiments yielded higher convergence in somatosensory and premotor areas.”
    Quote in the paperSubstantial claim
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    Findingown data

    Action experiments showed significantly more consistent co-activation with primary motor (M1: areas 4a, left area 4p) and primary sensory (S1: area 3b) cortices, parietal operculum (OP4), lateral premotor cortex, SMA (area 6), pre-SMA, MCC (areas a24′, p24′), area 44, IPL (area PFt; right areas PF, PFcm), left SPL (areas 7A, 7PC), thalamus, putamen, and cerebellum.

    “Experiments from the behavioral domain “action” in turn (Figure 3F) featured significantly more consistent co-activation with primary motor (M1: areas 4a, left area 4p) and primary sensory (S1: area 3b) cortices, parietal operculum (OP4), lateral premotor cortex, SMA (area 6), pre-SMA, MCC (areas a24′, p24′), area 44, IPL (area PFt; right areas PF, PFcm) and left SPL (areas 7A, 7PC) as well as th”
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    Findingown data

    Among experiments with aMCC activation, 42% (277 experiments) were assigned to the cognition domain and 34% (222 experiments) to the action domain.

    “Of all experiments featuring activation in the aMCC, 42% were attributed to the behavioral domain “cognition” (277 experiments; Fig. 3B) and 34% to the “action” domain (222 experiments; Fig. 3C).”
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    Findingown data

    The inclusion criteria produced approximately 6,500 eligible experiments at the time of analysis.

    “These criteria yielded ~6,500 eligible experiments at the time of analysis.”
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    Findingown data

    The conjunction of the cognition and action MACMs produced a smaller network than the original MACM over all 656 experiments; it retained the aMCC-to-SMA cluster but omitted area 45, IPL, and most of the DLPFC.

    “The conjunction over both MACMs including experiments with the behavioral domain “cognition” and “action” (Fig. 3D), respectively, featured convergent co-activation in the same but reduced network as the original MACM over all 656 experiments including the aMCC to SMA cluster, but leaving out area 45, IPL and most of the DLPFC.”
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    Findingown data

    Both MACMs revealed premotor and midcingulate cortex, area 44, anterior insula, SMA, pre-SMA, dorsal striatum, thalamus, and cerebellum all bilaterally to have task-based FC with aMCC.

    “Both analyses revealed the premotor and midcingulate cortex, area 44, anterior insula, supplementary and presupplementary motor area, dorsal striatum, thalamus and the cerebellum all bilaterally to feature task-base FC with the aMCC.”
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    Findingown data

    Only the action task-based FC network included primary somatosensory cortex and showed significantly stronger involvement of premotor areas, putamen, thalamus, and cerebellum.

    “On the other hand, only the task-based FC network for “action” included the primary somatosensory cortex and showed significantly stronger involvement of premotor areas, putamen, thalamus and the cerebellum.”
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    Premisecitation

    The initiation of intentional movements is a classic example of how cognitive and motor processes interact.

    “which represents a prototypical interaction between cognitive and motor functions [Haggard, 2008].”
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    Study design and conductnone given

    Experiments activating the seed were retrieved solely on the basis of reported activation coordinates, not on anatomical or functional labels.

    “The retrieval was solely based on the reported activation coordinates, not on any anatomical or functional label.”
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    Study design and conductown data

    The map of true differences between the two MACMs was tested against this null distribution to yield a posterior probability that the true difference was not due to random noise.

    “The map of “true” differences between two MACMs was tested against this null-distribution yielding a posterior probability that the true difference was not due to random noise in an exchangeable set of labels, based on the proportion of lower differences in the random exchange.”
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    Premisecitation

    In the prior fMRI study, contrasting self-initiated movements with closely matched reactive movements yielded the neural correlate of intentional action, because the contrast removes purely movement-related neural activity.

    “In this study, contrasting neural activity related to self-initiated movements with activity related to (closely matched) reactive movements yielded the neural correlate of intentional action as the contrast eliminates purely movement related neural activity [Haggard, 2008].”
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    • cites Haggard, 2008

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    Premisecitation

    The prior fMRI study found that intentional movement generation involved aMCC (areas a24′, 32′), SMA (area 6), pre-SMA, right IFJ (areas IFJ1,2), right area 45, bilateral DLPFC, area 44, anterior insula, dorsolateral premotor cortex, IPL (areas PFm, PFt; left area PF; right area PGa), IPS (areas hIP1-3), SPL (area 7PC; right areas 7P, 7A), caudate nucleus, pallidum, putamen, and cerebellum.

    “The areas involved were aMCC (areas a24′, 32′), SMA (area 6), pre-SMA, right IFJ (areas IFJ1,2) and right area 45 as well as bilateral DLPFC, area 44, aIns, dorsolateral premotor cortex, IPL (areas PFm, PFt; left area PF; right area PGa), IPS (areas hIP1–3), SPL (area 7PC; right areas 7P, 7A), caudate nucleus, pallidum, putamen and cerebellum (Fig. 5B).”
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    • cites Hoffstaedter et al., 2013

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    Study design and conductcitation

    Repeating the random group division and subtraction 1,000 times produced an empirical null distribution of ALE-score differences between the cognition and action conditions.

    “Repeating this process 1,000 times yielded an empirical null distribution of ALE-score differences between the two conditions (“cognition” vs. “action”) [Rottschy et al., 2012].”
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    Study design and conductown data

    The resulting probability values were thresholded at P > 0.95, with an additional cluster extent threshold of k = 211 voxels.

    “The resulting probability values were thresholded at P >0.95 (95% chance for true difference) and an additional cluster extend threshold of k = 211 voxels was applied, taken from the original MACM over all experiments with aMCC activation.”
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    Study design and conductnone given

    The meta-analysis included only task-based imaging studies of healthy subject groups, excluding between-group contrasts, patient populations, and intervention studies.

    “Only imaging studies, which examined task-based activations in a group of healthy subjects, were considered, while between-group contrasts, patient populations and intervention-studies were excluded.”
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    Study design and conductreasoning

    An additional cluster threshold of 211 voxels was applied to ensure that the conjunction results were corrected for multiple comparisons.

    “To ensure that the conjunction yields results corrected for multiple comparisons, we additionally used the conservative approach of implementing an additional cluster threshold of 211 voxels, which corresponds to the cluster-FWE correction of the global MACM analysis over 656 experiments.”
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    Study design and conductown data

    Voxel-wise correlation coefficients were transformed into Fisher's Z-scores and tested for consistency across subjects using a second-level ANOVA with nonsphericity correction.

    “The voxel-wise correlation coefficients were then transformed into Fisher’s Z-scores and tested for consistency across subjects by a second-level analysis of variance (ANOVA, including appropriate nonsphericity correction).”
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    Premisecitation

    Functional neuroimaging studies activate the aMCC more often than almost any other brain region.

    “Interestingly, the anterior part of the latter region (aMCC) is one of the most frequently activated brain structures in functional neuroimaging [Yarkoni et al., 2011].”
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    • cites Yarkoni et al., 2011

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    Study design and conductnone given

    Images were corrected for head motion by affine registration using a two-pass procedure that registered all images to each subject's individual mean image.

    “First, images were corrected for head motion by affine registration using a two-pass procedure registering all images to the individual mean of the respective subject.”
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    Study design and conductcitation

    Nuisance variables were removed from each voxel's time series using a GLM approach: six motion parameters, their first derivative, mean grey and white matter and CSF signal intensity, and the first five components of a PCA decomposition of the whole-brain time-series (CompCor denoising).

    “In order to reduce spurious correlations, variance that could be explained by the following nuisance variables was removed from each voxel’s time series [cf. Jakobs et al., 2012; Weissenbacher et al., 2009; zu Eulenburg et al., 2012] applying a GLM approach”
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    • cites Jakobs et al., 2012

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    • cites Weissenbacher et al., 2009

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    • cites zu Eulenburg et al., 2012

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    Study design and conductown data

    The ALE maps for co-activations with the aMCC were family-wise error corrected at a cluster-level threshold of P < 0.05, using a cluster-forming threshold of P < 0.001 and a cluster extent of k = 211, and converted to Z-scores.

    “The ALE maps reflecting the convergence of co-activations with the aMCC were family wise error (FWE) corrected at a cluster level threshold of P <0.05 (cluster-forming threshold: P <0.001 at voxel level; cluster extend threshold k = 211), and converted to Z-scores for visualization.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: The functionally defined aMCC volume of interest used as the seed accurately represents the anterior midcingulate cortex region.
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    Premisecitation

    The aMCC is involved in numerous different contexts, including self-initiated finger tapping, reward-based decision making, and processing of pain and negative affect.

    “It is involved in numerous different contexts from self-initiated finger tapping [Deiber et al., 1999] to reward-based decision making [Bush et al., 2002] as well as processing of pain and negative affect [Shackman et al., 2011].”
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    Premisecitation

    In the BrainMap database, each experiment is linked to a Behavioral Domain that classifies the mental operations isolated by the experimental contrast.

    “Importantly, in the BrainMap database each experiment is associated with a specific “Behavioral Domain” which classifies the mental operations isolated by the experimental contrast [Laird et al., 2005].”
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    • cites Laird et al., 2005

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    Premisecitation

    The aMCC is essential for preparing and implementing potential actions (readiness for action) that realize adaptive control and conflict resolution.

    “An alternative account of aMCC functioning would be that it is essential for the preparation and implementation of potential actions (readiness for action) realizing adaptive control [Shackman et al., 2011] and conflict resolution to this end.”
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    Study design and conductown data

    The results of the random-effects analysis were family-wise error corrected at a threshold of P < 0.05.

    “The results of this random-effects analysis were family wise error (FWE) corrected at a threshold of P <0.05.”
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    Study design and conductnone given

    All nuisance variables entered the model as first-order terms, and all except the PCA components also as second-order terms, which were shown to increase specificity and sensitivity.

    “All nuisance variables entered the model as first, and all but the PCA components also as second order terms, which were shown to increase specificity and sensitivity of the analyses.”
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    Premisecitation

    Analysis of nociceptive activations in human brain revealed MCC as a major location for pain-processing, and its anterior part is associated with fear and anxiety critical for avoidance behavior.

    “Functionally, the analysis of nociceptive activations of the human brain revealed that the MCC is a major location for pain-processing and in particular its anterior part is associated with fear and anxiety, critical for avoidance behavior [Vogt et al., 2003].”
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    Premisecitation

    Brodmann's pre-cingulate subregion (classical ACC) has been subdivided into two qualitatively distinct brain regions based on neuroanatomical information in nonhuman primates.

    “Brodmann’s pre-cingulate subregion (classical ACC [Brodmann, 1909]) has later been subdivided into two qualitatively distinct brain regions [for review see Vogt, 2009b] based particularly on neuroanatomical information in nonhuman primates.”
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    Interpretationreasoning

    Pain and negative affect result in activation of the cognitive control system and readiness for action, which crucially includes aMCC.

    “Thus, pain and negative affect result in activation of the cognitive control system and the “readiness for action”, which crucially includes the aMCC.”
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    Premisecitation

    Vogt proposed a four-region neurobiological model of cingulate cortex comprising ACC, MCC, PCC, and retrosplenial cortex.

    “Subsequently, Vogt proposed the four-region neurobiological model of the cingulate cortex which comprises ACC, MCC (combined forming the classical ACC/Brodmann’s precingulate subregion), PCC and retrosplenial cortex reflecting its circuitry and functional organization (Fig. 1 [Vogt, 2005; Vogt et al., 2004]).”
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    Premisecitation

    Regions functionally connected in resting-state also co-activate in functional neuroimaging studies and vice versa.

    “It has long been conjectured that regions functionally connected in a resting-state also co-activate in functional neuroimaging studies and vice versa [Biswal et al., 1995; Fox and Raichle, 2007].”
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    Premisecitation

    Computational models of cognitive control and reinforcement learning may account for this region's contribution to negative affect and pain.

    “In their review, the authors concluded that computational models of cognitive control and reinforcement learning may account for this region’s contribution to negative affect and pain.”
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    • cites Shackman et al. [2011]

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    Interpretationcitation

    The convergent, state-independent FC pattern closely corresponds to the network involved in intentional movement generation, suggesting a key role of this core network in realizing intentional motor control.

    “This convergent, state independent functional connectivity pattern closely corresponds to the network involved in intentional movement generation [Hoffstaedter et al., 2013] suggesting a key role of this functional “core network” in realizing intentional motor control.”
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    • cites Hoffstaedter et al., 2013

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    Premisecitation

    Paus (2001) emphasized aMCC's strategic anatomical position and functional role in motor control, cognition, and arousal/drive states as ideal prerequisites to translate intentions to actions.

    “Regarding structural connectivity, Paus [2001] emphasized the aMCC’s strategic anatomical position beside its functional role in motor control, cognition and “arousal/drive states” of the organism as ideal prerequisites to translate intentions to actions.”
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    Interpretationcitation

    The anatomical connectivity pattern of aMCC in monkeys largely corresponds to human probabilistic tractography results and is in line with the current FC analyses of a human aMCC subregion.

    “This pattern of anatomical connectivity of the aMCC in monkeys largely corresponds to results from probabilistic tractography in humans [Beckmann et al., 2009] and is also in line with the results of our FC analyses of an aMCC subregion in humans.”
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    • The authors state this as an assumption: Human and monkey brain areas that are presumed homologous can be used to infer connectivity from monkey to human.
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    Premisecitation

    In macaque monkeys, direct projections to the spinal cord originate from pMCC.

    “Combining tract tracing and cytoarchitecture in macaque monkeys, Dum and Strick [1991] found direct projections to the spinal cord originating from the pMCC.”
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    • cites Dum and Strick [1991]

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    Study design and conductcitation

    Because combining different methods should be less susceptible to drawbacks of each individual method, the conjunction analyses represent a conservative approach to FC.

    “Moreover, given that a combination of different methods should be less susceptible to drawbacks inherent in each individual method (MACM, resting-state analysis), the conjunction analyses should moreover represent a conservative approach to FC [Eickhoff et al., 2011; Jakobs et al., 2012; Reetz et al., 2012; Smith et al., 2009].”
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    Premisecitation

    In human brain, anatomical connectivity cannot be directly assessed, but probabilistic fiber tracking based on diffusion weighted MRI provides decent estimates of axonal connections.

    “For the human brain, in contrast to the experimental possibilities with animals, anatomical connectivity cannot be directly assessed, although probabilistic fiber tracking based on diffusion weighted MRI provides decent estimates of axonal connections between brain areas [Johansen-Berg and Rushworth, 2009].”
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    • cites Johansen-Berg and Rushworth, 2009

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    Premisecitation

    The exclusive overlap between internal timing and movement selection was found in the aMCC VOI, suggesting a key role of this area in intentional cognitive motor control.

    “The exclusive overlap between internal timing and movement selection was found in the aMCC VOI, suggesting a key role of this area in intentional, i.e. cognitive, motor control.”
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    • cites Hoffstaedter et al., 2013

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    Premisecitation

    The human brain differs from monkey brain, specifically for aMCC, as monkeys do not have area 32′.

    “Considering interspecies comparisons, it has to be noted that the human brain features obvious differences to the monkey brain, which is specifically the case for the aMCC, as monkeys do not have an area 32′ [Vogt, 2009a].”
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    Premisecitation

    Functional networks active in specific task conditions are continuously and dynamically utilized by the brain at rest.

    “The authors concluded that functional networks active in specific task conditions are continuously and dynamically utilized by the brain at “rest”.”
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    • cites Smith et al. [2009]

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    Premisecitation

    Smith et al. (2009) showed good concordance between independent component analyses on BrainMap and resting-state data.

    “This correspondence was corroborated by Smith et al. [2009] showing good concordance of independent component analyses (ICA) on BrainMap and resting-state data, respectively.”
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    Study design and conductcitation

    Anatomical assignment of the resulting brain areas was performed using the SPM Anatomy toolbox, which is based on cytoarchitectonic studies providing maximum probability maps.

    “Anatomical assignment of resulting brain areas was performed via the SPM Anatomy toolbox (www.fz-juelich.de/ime/spm_anatomy_toolbox, V1.8 [Eickhoff et al., 2007]), which is based on various cytoarchitectonic studies providing maximum probability maps of several brain areas [cf. Zilles and Amunts, 2010].”
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    Premisecitation

    The contrast that yielded aMCC activation in the prior study tested for increased neural activity across three conditions: Free > Choice > Reaction.

    “the contrast yielding the aMCC activation tested for an increase of neural activity over three conditions (1. Free >2. Choice >3. Reaction).”
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    • cites Hoffstaedter et al., 2013

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    Premisecitation

    In rhesus monkeys, the amygdala is anatomically connected only to ACC and aMCC, whereas pMCC and PCC are connected to inferior parietal cortex.

    “For example, invasive tract tracing in rhesus monkeys demonstrated that the amygdala is anatomically connected only to the ACC and the aMCC [Vogt and Pandya, 1987] whereas the posterior MCC (pMCC) and the PCC are connected to the inferior parietal cortex.”
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    • cites Vogt and Pandya, 1987

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    Premisecitation

    Good convergence exists between structural (probabilistic tracing) and functional (resting-state and MACM) connection patterns, and FC seems positively correlated with structural connectivity strength.

    “In general, good convergence was found between structural (probabilistic tracing) and functional (resting-state and MACM) connection pattern [Eickhoff et al., 2010; Greicius et al., 2009] and FC seems positively correlated with structural connectivity strength [Damoiseaux and Greicius, 2009].”
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    • cites Eickhoff et al., 2010

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    Premisecitation

    Cytoarchitectonic characteristics of MCC are largely replicated in human brain, highlighting similarity with medial premotor regions (pre-SMA, SMA).

    “Cytoarchitectonic characteristics of the MCC were largely replicated for the human brain [Vogt et al., 2003; Vogt and Vogt, 2003] highlighting the similarity of this region with medial premotor regions (pre-SMA, SMA).”
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    • cites Vogt et al., 2003

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    Interpretationcitation

    The specific FC pattern observed in the current study may be a specific functional feature of the human aMCC, which largely resembles structural connectivity found with diffusion imaging.

    “Finally, the specific FC pattern observed in the current study may be a specific functional feature of the human aMCC, which despite the mentioned restrictions largely resembles the structural connectivity found with diffusion imaging [Beckmann et al., 2009].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Beckmann et al., 2009

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    In the prior fMRI study, the contrast for intentional movement generation was exclusively significant for the aMCC seed VOI, leading to its discussion as a key node for intentional initiation of behavior.

    “This specific contrast was exclusively significant for the aMCC seed VOI, which in context of the fMRI experiment was thus discussed as a key node for the intentional initiation of behavior.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Hoffstaedter et al., 2013

      Not checked in the free run.

48 of 48
  • The paper relies on this without support.

    The functionally defined aMCC volume of interest used as the seed accurately represents the anterior midcingulate cortex region.

    “the functionally defined aMCC region was used as seed VOI”
  • The paper relies on this without support.

    The BrainMap database's assignment of experiments to cognition and action domains validly captures those mental operations.

    “as coded in the BrainMap database”
    “as assigned in the BrainMap database”
  • The authors state this as an assumption.

    Human and monkey brain areas that are presumed homologous can be used to infer connectivity from monkey to human.

    “which may then be used to infer connections of presumably homologous areas in the human brain.”
3 of 3

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Broader executive function networks include nodes in the dorsolateral prefrontal cortex, dorsal anterior cingulate cortex, and superior parietal lobule, which contribute to working memory, motor control, and attention, respectively.

    “These regions work in the context of broader EF networks with nodes in the dorsolateral prefrontal cortex (dlPFC), dorsal anterior cingulate cortex (dACC), and superior parietal lobule (SPL) which contribute to working memory (30), motor control (31,32), and attention (33), respectively (see (25) for review) (Figure 1).”

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Authors
Hoffstaedter, F., Grefkes, C., Caspers, S., Roski, C., Palomero‐Gallagher, N., Laird, A. R., Fox, P. T., & Eickhoff, S. B.
Affiliations
  • Forschungszentrum Jülich (DE)
  • Max Planck Institute for Metabolism Research (DE)
  • The University of Texas at San Antonio Health Science Center (US)
  • Department of Physics Florida International University Miami Florida
Venue
Human Brain Mapping
Publisher
Wiley
Published
2013-09-24
Volume
35
Issue
6
Pages
2741-2753
ISSN
  • 1065-9471 (ISSN-L)
  • 1097-0193
OpenAlex
W2045514920
Cited by
164
References
82
Citations by year
2026: 7 · 2025: 7 · 2024: 13 · 2023: 10 · 2022: 13 · 2021: 14 · 2020: 13 · 2019: 14 · 2018: 17 · 2017: 16 · 2016: 15 · 2015: 14 · 2014: 9 · 2012: 1
FWCI
1.09
Type
journal article
Language
en
Open access
Locations
  • Human Brain Mapping (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Max Planck Institute for Plasma Physics (submittedVersion)
Funders
National Institute of Mental Health (R01MH074457)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
Keywords
anterior midcingulate cortex, intentional movement, functional connectivity, resting-state functional connectivity, meta-analytic connectivity modeling, prefrontal cortex, anterior insula, premotor cortex, parietal cortex, cerebellum, dorsal striatum, movement initiation
MeSH terms
Brain, Brain Mapping, Gyrus Cinguli, Humans, Magnetic Resonance Imaging, Motor Activity, Neural Pathways, Psychomotor Performance, Rest, Executive Function

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-07.

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