The role of anterior midcingulate cortex in cognitive motor control: Evidence from functional connectivity analyses
Open accessAbstract
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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- 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
- Findingown data
Combining the two connectivity analyses identified consistent functional connectivity of the aMCC that was independent of task state (task-driven versus task-free).
“Consistent FC of the aMCC independent of the current state (task-driven vs. task-free) was identified by combining the two complementary connectivity analyses described above.”
Quote in the paperSubstantial claim - Findingown data
The contrasts between MACMs produced areas of higher relative consistency of co-activation with the aMCC VOI, represented by clusters of significantly higher activation likelihood for the respective behavioral domain.
“The resulting contrasts between MACMs yielded areas of higher relative consistency of co-activation with the aMCC VOI represented by clusters of significantly higher activation likelihood of the respective behavioral domain: “cognition” or “action.””
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.
- Findingown data
In the resting-state analysis, the aMCC seed correlated with the caudate nucleus, anterior putamen, pallidum, nucleus accumbens, bed nucleus, thalamus, and cerebellum in both hemispheres.
“Subcortically, the aMCC seed showed correlations with the caudate nucleus, anterior putamen, pallidum, nucleus accumbens, bed nucleus, thalamus, and cerebellum in both hemispheres.”
Quote in the paperSubstantial claim - Findingown data
The remaining approximately 24% of experiments were associated with other behavioral domains such as perception or emotion.
“The remaining ~24% were associated with other behavioral domains such as perception or emotion.”
Quote in the paperNot a substantial claim - Findingown data
The conjunction delineated regions with significant task-based (MACM) and task-independent (resting-state) functional connectivity to the aMCC that were also significantly more strongly activated by self-initiated versus reactive movements.
“This conjunction delineated regions of significant task-based (MACM) and task-independent (resting-state) functional connectivity with the aMCC that are at the same time also significantly stronger activated by self-initiated versus reactive movements.”
Quote in the paperSubstantial claim - Findingown data
The caudate nucleus, pallidum, anterior putamen, thalamus, and cerebellum were also identified bilaterally as consistently connected to the aMCC region.
“Caudate nucleus, pallidum, anterior putamen, thalamus and cerebellum were also identified bilaterally as consistently connected to the aMCC region.”
Quote in the paperSubstantial claim - Findingown data
When compared with the network for initiating intentional movements, the aMCC's state-independent connectivity network was found to participate in that movement generation.
“This exemplary comparison confirmed the involvement of the state independent FC network of the aMCC in the intentional generation of movements.”
Quote in the paperSubstantial claim - Findingown data
In the contrast between the two MACMs, cognition experiments showed significantly more consistent co-activation in bilateral DLPFC, IFJ (IFJ1 and left IFJ2), anterior insula, rostral aMCC (areas a24′, 32′), left dorsomedial area 44 and area 45, left IPS (area hIP3), and left fusiform gyrus (area FG2).
“When contrasting both MACMs, experiments with the behavioral domain “cognition” (Fig. 3E) featured significantly more consistent co-activation in bilateral DLPFC, IFJ (IFJ1 and left IFJ2), aIns, rostral aMCC (areas a24′, 32′), left dorsomedial area 44 and area 45, left IPS (area hIP3) and left FG (area FG2).”
Quote in the paperSubstantial claim - Findingown data
A BrainMap database search found 656 experiments with activation foci inside the aMCC seed region.
“The VOI search in the BrainMap database revealed 656 experiments containing activation foci within the aMCC seed”
Quote in the paperSubstantial claim - Findingown data
When MACM was run separately on cognitive and action tasks, the aMCC showed an identical connectivity pattern in both cases.
“Both analyses confirmed the same task-based connectivity pattern of the aMCC.”
Quote in the paperSubstantial claim - Findingown data
The resting-state analysis found a large-scale network of correlated activity with the aMCC seed VOI, including MCC, SMA, pre-SMA, left area 45, and bilaterally DLPFC, dorsolateral premotor cortex, anterior insula, area 44, IFJ, IPS, IPL, and left SPL.
“The resting-state analysis revealed a large-scale network of correlated activity with the aMCC seed VOI (Fig. 4) comprising MCC”
Quote in the paperSubstantial claim - Findingown data
Subcortical regions functionally connected with the aMCC were bilateral putamen, caudate nucleus, pallidum, thalamus, and cerebellum.
“Subcortical areas featuring functional connectivity with the aMCC were bilateral putamen, caudate nucleus, pallidum, thalamus, and cerebellum.”
Quote in the paperSubstantial claim - Findingown data
Convergent MACM and resting-state analyses seeded from the aMCC showed a specific functional connectivity pattern that was equally present in structured task states and in task-free rest.
“Convergent results of meta-analytic connectivity modeling (MACM) and resting-state correlation analyses seeded from the aMCC region showed that a specific pattern of FC was equally present in states where subjects had to engage in structured, externally specified tasks as well as in a task-free, endogenously controlled “resting” state.”
Quote in the paperSubstantial claim - Findingown data
For action experiments, the aMCC region was significantly connected to primary somatosensory and premotor cortices and larger parts of motor-related subcortical areas.
“For experiments examining “action” on the other hand the aMCC region was significantly connected to primary somatosensory and premotor cortices as well as bigger parts of motor related subcortical areas.”
Quote in the paperSubstantial claim- Rests on an assumption: The BrainMap database's assignment of experiments to cognition and action domains validly captures those mental operations.
- Findingown data
Contrasting cognitive tasks to action tasks, aMCC co-activated more consistently with DLPFC, IFJ, and aIns.
“Furthermore, contrasting cognitive tasks to “action” tasks, the aMCC co-activated more consistently the highly integrative areas DLPFC [Koechlin and Summerfield, 2007], IFJ [Brass et al., 2005], and the aIns [Kurth et al., 2010].”
Quote in the paperSubstantial claim - Findingown data
The conjunction over both tasks included most of the core network with aMCC to SMA region, except for DLPFC.
“Nevertheless, the conjunction over both tasks included most of the “core network” with aMCC to SMA region, except for the DLPFC.”
Quote in the paperSubstantial claim - Findingown data
Separate MACM analyses for cognition and action experiments revealed a task-based FC network similar to but slightly reduced compared with the original MACM over all experiments.
“Separate MACM analyses constrained to experiments probing mental operations of either “cognition” or “action” (as coded in the BrainMap database) revealed a very similar, slightly reduced task-based FC network like the original MACM over all experiments.”
Quote in the paperSubstantial claim- Rests on an assumption: The BrainMap database's assignment of experiments to cognition and action domains validly captures those mental operations.
- Findingown data
In both task and rest states, the aMCC seed was significantly coupled with a large-scale network including DLPFC, IPS, IPL, aIns, area 44/45, dorsolateral premotor cortices, SMA, pre-SMA, cerebellum, anterior putamen, and caudate.
“In particular, in both states, the aMCC seed was significantly coupled with a large-scale network comprising DLPFC, IPS, IPL, aIns, area 44/45, dorsolateral premotor cortices, SMA and pre-SMA as well as cerebellum, anterior putamen and the caudate.”
Quote in the paperSubstantial claim - Findingown data
The current study demonstrates strong convergence between task-dependent MACM and resting-state FC of the functionally defined aMCC region.
“In summary, the current study demonstrates strong convergence between task dependent (MACM) and resting-state functional connectivity of the functionally defined aMCC region.”
Quote in the paperSubstantial claim - Findingown data
The current study showed close correspondence between FC networks in both states for the functionally defined aMCC VOI.
“The current study showed close correspondence between FC networks in both states for the functionally defined aMCC VOI, which points to fundamental functional characteristics of the neural network revealed by FC analyses rather than effects stemming from a particular mental state (task vs. rest).”
Quote in the paperSubstantial claim - Findingown data
Comparing the cognition and action MACMs, cognition showed higher co-activation convergence mainly in higher-order multimodal association areas such as DLPFC, IFJ, and aIns.
“The comparison between these MACMs revealed higher convergence of co-activation for “cognition” in contrast to “action” mainly in higher-order and multimodal association areas like DLPFC, IFJ and aIns.”
Quote in the paperSubstantial claim- Rests on an assumption: The BrainMap database's assignment of experiments to cognition and action domains validly captures those mental operations.
- Premisecitation
The aMCC has a key role in cognitive aspects of movement generation, specifically intentional motor control.
“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.”
- Also stated in: § INTRODUCTION · hedged
“a recent fMRI study demonstrated overlapping neural activity in a part of the aMCC for simple movement selection and free timing of movement initiation [Hoffstaedter et al., 2013], suggesting that the aMCC plays an essential role in intentional motor control.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hoffstaedter et al., 2013
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- Also stated in: § INTRODUCTION · hedged
- Premisecitation
Prior work provides substantial evidence that the aMCC is functionally connected with prefrontal, premotor, and parietal regions and the basal ganglia, which together form a core network for internally generated movements.
“Ample evidence functionally links the aMCC with prefrontal, premotor and parietal areas as well as the basal ganglia forming a core network for the internal generation of movements [Cunnington et al., 2002; Debaere et al., 2003; Deiber et al., 1999; Jankowski et al., 2009; Lau et al., 2004; van Eimeren et al., 2006].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Cunnington et al., 2002
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- cites Debaere et al., 2003
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- cites Deiber et al., 1999
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- Study design and conductnone given
The original study that provided the aMCC seed VOI was not part of the BrainMap database used for the meta-analysis.
“Importantly, the study form which the seed VOI originated was not included in the BrainMap database.”
Quote in the paperSubstantial claim - Premisecitation
Seed volumes defined by functional criteria yield superior network models compared with atlas-defined volumes or single coordinates.
“This approach is based on findings from a comprehensive simulation approach to FC [Smith et al., 2011] which recently showed that functional specific seed VOIs provide better results for modeling functional networks than atlas based VOIs or single points.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Smith et al., 2011
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- Premisecitation
Brain regions defined by functional properties can be assessed with MACM.
“while MACM has most commonly been used to investigate the functional connectivity of anatomically defined seed regions [Cauda et al., 2011; Eickhoff et al., 2010; Robinson et al., 2010], brain regions defined by functional properties as in the current study, may likewise be assessed [Jakobs et al., 2012].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Jakobs et al., 2012
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- Interpretationcitation
Intentional movement initiation produced increased neural activity in nearly the same brain regions that formed the aMCC seed's overall functional connectivity network.
“Notably, intentional movement initiation yielded increased neural activity in virtually the same brain regions involved in the aMCC seed’s overall FC network.”
Quote in the paperSubstantial claim - Interpretationown data
Taken together, the experiments reported here indicate that the aMCC is a central component of the network that supports intentional motor control.
“In summary, the different experiments of the present study suggest that the aMCC constitute a key region in the network realizing intentional motor control.”
Quote in the paperSubstantial claim - Premisecitation
In a prior study, a subregion of the aMCC (areas a24′ and 32′) was the sole area with elevated activity during both movement selection and self-timed movement initiation.
“A part of the aMCC (areas a24′, 32′ [Palomero-Gallagher et al., 2009]; Fig. 2) was found to be the only brain region showing increased activity not only for movement selection but additionally for the free timing of movement initiation.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hoffstaedter et al., 2013
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- Study design and conductown data
The BrainMap database used for the meta-analysis did not include any results from the study that provided the aMCC seed volume of interest.
“which did not contain any results of the study the seed VOI was taken from”
Quote in the paperSubstantial claim - Study design and conductreasoning
Using different measures of FC enables inference of FC independent of the current mental state (task-related or endogenously controlled).
“The reference to different measures of FC additionally enables inference of FC independent of the current “mental state” (task related; endogenously controlled).”
Quote in the paperSubstantial claim - Premisecitation
A recent fMRI study found evidence for a critical role of a specific part of aMCC (MNI x=-3, y=18, z=42) in intentional movement initiation.
“A recent fMRI study found evidence for a critical role of a specific part of the aMCC (mean MNI coordinates: x = −3; y = 18; z = 42) in intentional movement initiation [Hoffstaedter et al., 2013].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hoffstaedter et al., 2013
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- Interpretationcitation
The current study underlines that aMCC is closely associated with cognitive motor control.
“In turn, the current study underlines that the aMCC is closely associated with cognitive motor control.”
Quote in the paperSubstantial claim - Premisecitation
Shackman et al. (2011) found virtually identical region with overlapping activity for cognitive control, pain, and negative affect.
“Virtually the identical region was also found by Shackman et al. [2011] in a quantitative meta-analyses to feature overlapping activity for the three domains: cognitive control, pain, and negative affect (Talairach coordinates: x = 0, y = 12, z = 42; MNI-transformation [Lancaster et al., 2007]: x = 1, y = 17, z = 41).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Shackman et al. [2011]
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- Interpretationcitation
The current results are consistent with previous resting-state FC studies that used anatomically defined ACC/MCC seeds.
“The current results are well in line with previous investigations of resting-state FC, which used anatomically defined seeds throughout the ACC/MCC [Kelly et al., 2009; Margulies et al., 2007; Yu et al., 2011], rather than a functionally derived and, hence, functionally specific seed region used here.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Kelly et al., 2009
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- cites Margulies et al., 2007
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- cites Yu et al., 2011
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- Premisecitation
The distinction between ACC and MCC was validated by cytoarchitectural and multireceptor mapping in humans.
“With respect to the current study, the constitutive distinction between ACC and MCC was validated by extensive cytoarchitectural [Palomero-Gallagher et al., 2008] and multireceptor mapping [Palomero-Gallagher et al., 2009] in humans.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Palomero-Gallagher et al., 2008
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- cites Palomero-Gallagher et al., 2009
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- Premisecitation
Caspers et al. (2011) showed close similarities between probabilistic fiber tracing from human IPL areas and axonal connectivity patterns of macaque IPL from tracer studies.
“Caspers et al. [2011] for example showed close similarities between probabilistic fiber tracing seeding from different areas in the human IPL and axonal connectivity pattern of the IPL in macaque monkeys as revealed by tracer studies.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Caspers et al. [2011]
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- Premisecitation
Strong functional connections can exist between brain regions with no direct structural connection.
“However, it is commonly the case that strong functional connections also exist between brain regions with no direct structural connection [Honey et al., 2009].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Honey et al., 2009
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- Interpretationreasoning
The domain-specific MACM analyses may be interpreted in favor of the initial hypothesis that aMCC is a crucial node in the neural network recruited for implementing intentions as immediate behavior.
“Taken together, the domain specific MACM analyses may be interpreted in favor of the initial hypothesis stating that the aMCC represents a crucial node in the neural network recruited for the implementation of intentions as immediate behavior.”
Quote in the paperSubstantial claim - Interpretationown data
The close correspondence between FC networks in both states points to fundamental functional characteristics of the neural network rather than effects of a particular mental state.
“The current study showed close correspondence between FC networks in both states for the functionally defined aMCC VOI, which points to fundamental functional characteristics of the neural network revealed by FC analyses rather than effects stemming from a particular mental state (task vs. rest).”
Quote in the paperSubstantial claim - Premisecitation
Beckmann et al. (2009) used diffusion weighted MRI to show anatomical interconnection of aMCC with DLPFC, premotor cortex, and dorsal striatum.
“Additionally, Beckmann et al. [2009] used diffusion weighted MRI to estimate anatomical connectivity between cingulate cortex and several target regions, also revealing interconnection of the aMCC with DLPFC, premotor cortex, and the dorsal striatum.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Beckmann et al. [2009]
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- Premisecitation
The overall FC network of the aMCC VOI showed increased neural activity for self-initiated movements relative to reactions.
“Finally, the overall FC network of the aMCC VOI also showed increased neural activity for self-initiated movements relative to reactions [Hoffstaedter et al., 2013].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Hoffstaedter et al., 2013
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- Interpretationcitation
Together with DLPFC, these areas form a core network that represents a neural correlate of intentional motor control.
“Together with the DLPFC, these areas in terms of a “core network” represent a neural correlate of intentional motor control [Haggard, 2008].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Haggard, 2008
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- Interpretationreasoning
The task-related and specific functional evidence supports the view that aMCC is part of a state-independent neural core network for intentional motor control and action.
“Taken together, this task-related and specific functional evidence supports the view of the aMCC as part of a state independent neural “core network” realizing intentional motor control and action.”
Quote in the paperSubstantial claim - Premisecitation
Morecraft et al. (2012) found aMCC in macaques structurally connected with SMA, pre-SMA, premotor and other cingulate areas, prefrontal cortex, insula, superior temporal cortex, dorsolateral parietal cortex, medial parietal region, and limbic regions.
“Using retrograde tract tracing in macaques, Morecraft et al. [2012] found the aMCC to be structurally connected with SMA, pre-SMA, premotor and other cingulate areas as well as with various parts of the prefrontal cortex, insula and superior temporal cortex, dorsolateral parietal cortex, the medial parietal region and limbic regions.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Morecraft et al. [2012]
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- Interpretationown data
The separately calculated MACMs over cognition and action experiments support the consideration that aMCC has a strategic role.
“This consideration is supported on the functional level by the separately calculated MACMs over experiments with aMCC activation involving neural systems for “cognition” and “action,” respectively.”
Quote in the paperSubstantial claim - Interpretationown data
The study provides evidence that aMCC is functionally coupled to the entire core network implementing cognitive motor control.
“Thus, we provide evidence that the aMCC is functionally coupled to this entire (core) network implementing cognitive motor control.”
Quote in the paperSubstantial claim - Interpretationown data
The comparative MACMs of cognition and action domains support the notion of crucial involvement of aMCC in both cognitive and motor execution related functional systems.
“The comparative MACMs of the “cognition” and “action” domain as assigned in the BrainMap database support the notion of a crucial involvement of the aMCC in both cognitive and motor execution related functional systems.”
Quote in the paperSubstantial claim- Rests on an assumption: The BrainMap database's assignment of experiments to cognition and action domains validly captures those mental operations.
- The quote only partly states this claim. 1
- May combine two claims. 27
- Classified as probably not a substantial claim. 30
The quote only partly states this claim.
Findingown dataAction 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”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAmong 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).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe 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.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe 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.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataBoth 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.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataOnly 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.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
PremisecitationThe 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].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Haggard, 2008
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Classified as probably not a substantial claim.
Study design and conductnone givenExperiments 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.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductown dataThe 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.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationIn 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].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Haggard, 2008
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May combine two claims.
PremisecitationThe 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).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hoffstaedter et al., 2013
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Study design and conductcitationRepeating 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].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Rottschy et al., 2012
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Classified as probably not a substantial claim. May combine two claims.
Study design and conductown dataThe 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.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductnone givenThe 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.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductreasoningAn 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.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductown dataVoxel-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).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationFunctional 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].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Yarkoni et al., 2011
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Study design and conductnone givenImages 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.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductcitationNuisance 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”
Quote in the paperSubstantial claim0 of 3 sources checked- 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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Classified as probably not a substantial claim. May combine two claims.
Study design and conductown dataThe 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.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe 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].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Deiber et al., 1999
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- cites Bush et al., 2002
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- cites Shackman et al., 2011
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PremisecitationIn 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].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Laird et al., 2005
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Probably not a substantial claim: may not pass S1 (asserted). May combine two claims.
PremisecitationThe 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.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Shackman et al., 2011
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Study design and conductown dataThe 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.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenAll 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.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAnalysis 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].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Vogt et al., 2003
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PremisecitationBrodmann'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.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Brodmann, 1909
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- cites Vogt, 2009b
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InterpretationreasoningPain 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.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationVogt 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]).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Vogt, 2005
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- cites Vogt et al., 2004
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PremisecitationRegions 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].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Biswal et al., 1995
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- cites Fox and Raichle, 2007
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PremisecitationComputational 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.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Shackman et al. [2011]
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InterpretationcitationThe 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.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hoffstaedter et al., 2013
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PremisecitationPaus (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.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Paus [2001]
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InterpretationcitationThe 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.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Beckmann et al., 2009
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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.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn 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.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Dum and Strick [1991]
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Study design and conductcitationBecause 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].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Eickhoff et al., 2011
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- cites Jakobs et al., 2012
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- cites Reetz et al., 2012
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PremisecitationIn 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].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Johansen-Berg and Rushworth, 2009
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PremisecitationThe 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.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hoffstaedter et al., 2013
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PremisecitationThe 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].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Vogt, 2009a
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PremisecitationFunctional 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”.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Smith et al. [2009]
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PremisecitationSmith 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.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Smith et al. [2009]
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Study design and conductcitationAnatomical 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].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Eickhoff et al., 2007
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- cites Zilles and Amunts, 2010
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PremisecitationThe 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).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hoffstaedter et al., 2013
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PremisecitationIn 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.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Vogt and Pandya, 1987
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PremisecitationGood 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].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Eickhoff et al., 2010
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- cites Greicius et al., 2009
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- cites Damoiseaux and Greicius, 2009
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PremisecitationCytoarchitectonic 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).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Vogt et al., 2003
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- cites Vogt and Vogt, 2003
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InterpretationcitationThe 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
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PremisecitationIn 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.
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.”
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).”
From Brain Mechanisms Supporting Flexible Cognition and Behavior in Adolescents With Autism Spectrum Disorder (2021) · cites this paper as [31]
Cites
The assessment and analysis of handedness: The Edinburgh inventory
Oldfield, R. C. (1971) · Neuropsychologia · doi:10.1016/0028-3932(71)90067-4 · Cited by 35,900 · cited 1× · see citing works
“Resting-state fMRI images were acquired in 100 healthy volunteers (50 females; age range 22–71 years, mean 45.3 6 14.1), all of which were right handed according to the Edinburgh handedness inventory [Oldfield, 1971].”
MethodInfluentialFunctional connectivity in the motor cortex of resting human brain using echo‐planar mri
Biswal, B., Zerrin Yetkin, F., Haughton, V. M., & Hyde, J. S. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340409 · Cited by 9,812 · see citing works
Ashburner, J., & Friston, K. J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.02.018 · Cited by 7,507 · cited 1× · see citing works
“The mean image was then spatially normalized to the MNI single subject template [Holmes et al., 1998] using the “unified segmentation” approach [Ashburner and Friston, 2005].”
Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
Fox, M. D., & Raichle, M. E. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2201 · Cited by 6,700 · cited 1× · see citing works
“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].”
BackgroundCorrespondence of the brain's functional architecture during activation and rest
Smith, S. M., Fox, P. T., Miller, K. L., Glahn, D. C., Fox, P. M., Mackay, C. E., Filippini, N., Watkins, K. E., Toro, R., Laird, A. R., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0905267106 · Cited by 5,150 · cited 2× · see citing works
“…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].”
MethodSelf-citationA component based noise correction method (CompCor) for BOLD and perfusion based fMRI
Behzadi, Y., Restom, K., Liau, J., & Liu, T. T. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.04.042 · Cited by 4,502 · cited 2× · see citing works
“…parameters; (iii) mean grey and white matter as well as CSF signal intensity; (iv) coherent r 2744 r signal changes across the whole brain as reflected by the first five components of a PCA decomposition of the whole-brain time-series (CompCor denoising [Behzadi et al., 2007; Chai et al., 2012]).”
MethodLarge-scale automated synthesis of human functional neuroimaging data.
Yarkoni, T., Poldrack, R. A., Nichols, T. E., Van Essen, D. C., & Wager, T. D. (2011) · Nature Methods · doi:10.1038/nmeth.1635 · Cited by 3,686 · cited 1× · see citing works
“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].”
BackgroundConflict monitoring and anterior cingulate cortex: an update
Botvinick, M. M., Cohen, J. D., & Carter, C. S. (2004) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.10.003 · Cited by 3,623 · cited 2× · see citing works
“, 1998] and conflict monitoring [Botvinick et al., 2004].”
BackgroundPredicting human resting-state functional connectivity from structural connectivity
Honey, C. J., Sporns, O., Cammoun, L., Gigandet, X., Thiran, J. P., Meuli, R., & Hagmann, P. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0811168106 · Cited by 3,307 · cited 1× · see citing works
“However, it is commonly the case that strong functional connections also exist between brain regions with no direct structural connection [Honey et al., 2009].”
BackgroundAnterior Cingulate Cortex, Error Detection, and the Online Monitoring of Performance
Carter, C. S., Braver, T. S., Barch, D. M., Botvinick, M. M., Noll, D., & Cohen, J. D. (1998) · Science · doi:10.1126/science.280.5364.747 · Cited by 3,273 · cited 2× · see citing works
“Among these, one influential set of theories claim that the aMCC crucially contributes to cognitive control by conflict detection [Carter et al., 1998] and conflict monitoring [Botvinick et al.”
Background(1909) · Cited by 2,575 · see citing works
Resting-State Functional Connectivity Reflects Structural Connectivity in the Default Mode Network
Greicius, M. D., Supekar, K., Menon, V., & Dougherty, R. F. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn059 · Cited by 2,175 · cited 1× · see citing works
“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].”
BackgroundFunctional Connectivity: The Principal-Component Analysis of Large (PET) Data Sets
Friston, K. J., Frith, C., Liddle, P., & Frackowiak, R. (1993) · Journal of Cerebral Blood Flow and Metabolism · doi:10.1038/jcbfm.1993.4 · Cited by 2,094 · cited 3× · see citing works
“Meta-analytic connectivity modeling (MACM) is a relatively new approach to the analysis of functional connectivity [Friston et al., 1993] based on correlations of neural activity in different brain areas over studies, i.e., coactivation.”
BackgroundMethodInfluentialThe integration of negative affect, pain and cognitive control in the cingulate cortex
Shackman, A. J., Salomons, T. V., Slagter, H. A., Fox, A. S., Winter, J. J., & Davidson, R. J. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn2994 · Cited by 2,082 · cited 3× · see citing works
“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].”
BackgroundEickhoff, S. B., Laird, A. R., Grefkes, C., Wang, L. E., Zilles, K., & Fox, P. T. (2009) · Human Brain Mapping · doi:10.1002/hbm.20718 · Cited by 1,924 · cited 1× · see citing works
“…one focus of activation within the seed volume was then modeled using the revised version of the activation likelihood estimation (ALE) algorithm [Eickhoff et al., 2009]. r 2743 r The ALE approach is based on modeling the coordinates reported in the identified experiments as centers of 3D…”
MethodSelf-citationValid conjunction inference with the minimum statistic
Nichols, T. E., Brett, M., Andersson, J., Wager, T. D., & Poline, J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.12.005 · Cited by 1,885 · cited 1× · see citing works
“In order to delineate brain regions showing FC with the aMCC region in task-dependent (MACM) as well as in task-free states (resting-state), a conjunction analysis over both connectivity analyses was performed using the conservative minimum statistic [Nichols et al., 2005].”
MethodNetwork modelling methods for FMRI
Smith, S. M., Miller, K. L., Salimi-Khorshidi, G., Webster, M., Beckmann, C. F., Nichols, T. E., Ramsey, J. D., & Woolrich, M. W. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.08.063 · Cited by 1,878 · cited 1× · see citing works
“This approach is based on findings from a comprehensive simulation approach to FC [Smith et al., 2011] which recently showed that functional specific seed VOIs provide better results for modeling functional networks than atlas based VOIs or single points.”
MethodVan Dijk, K. R. A., Hedden, T., Venkataraman, A., Evans, K. C., Lazar, S. W., & Buckner, R. L. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00783.2009 · Cited by 1,844 · cited 2× · see citing works
“In contrast to the more prevailing time-series approach to FC [Van Dijk et al., 2010], the unit of observation in MACM is thus not a specific point in an acquired time-series but a particular neuroimaging experiment.”
BackgroundResultPain and emotion interactions in subregions of the cingulate gyrus
Vogt, B. A. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1704 · Cited by 1,810 · cited 3× · see citing works
“1 [Vogt, 2005; Vogt et al., 2004]).”
MethodPrimate anterior cingulate cortex: Where motor control, drive and cognition interface
Paus, T. (2001) · Nature Reviews Neuroscience · doi:10.1038/35077500 · Cited by 1,722 · cited 1× · see citing works
“It may thus be hypothesized that the aMCC is crucial for the implementation of intentional motor control by translating abstract cognition and intentions to actions and connecting cognitive and motor systems [Paus, 2001].”
BackgroundPaxinos, G., & Jürgen, K. (2004) · Cited by 1,482 · see citing works
Bias between MNI and Talairach coordinates analyzed using the ICBM‐152 brain template
Lancaster, J. L., Tordesillas‐Gutiérrez, D., Martinez, M., Salinas, F., Evans, A., Zilles, K., Mazziotta, J. C., & Fox, P. T. (2007) · Human Brain Mapping · doi:10.1002/hbm.20345 · Cited by 1,464 · cited 2× · see citing works
“…region was also found by Shackman et al. [2011] in a quantitative meta-analyses to feature overlapping activity for the three domains: cognitive control, pain, and negative affect (Talairach coordinates: x 5 0, y 5 12, z 5 42; MNI-transformation [Lancaster et al., 2007]: x 5 1, y 5 17, z 5 41).”
BackgroundMethodSelf-citationActivation Likelihood Estimation meta-analysis revisited
Eickhoff, S., Bzdok, D., Laird, A., Kurth, F., & Fox, P. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.017 · Cited by 1,448 · cited 1× · see citing works
“To distinguish “true” convergence from random convergence, ALE scores are compared with an empirical null distribution reflecting a random spatial association between experiments (random effects analysis [Eickhoff et al., 2012]).”
MethodSelf-citationThe origin of corticospinal projections from the premotor areas in the frontal lobe
Dum, R., & Strick, P. (1991) · Journal of Neuroscience · doi:10.1523/jneurosci.11-03-00667.1991 · Cited by 1,447 · cited 1× · see citing works
“monkeys, Dum and Strick [1991] found direct projections”
BackgroundEnhancement of MR Images Using Registration for Signal Averaging
Holmes, C. J., Hoge, R. D., Collins, D. L., Woods, R. P., Toga, A. W., & Evans, A. C. (1998) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199803000-00032 · Cited by 1,422 · cited 1× · see citing works
“The mean image was then spatially normalized to the MNI single subject template [Holmes et al., 1998] using the “unified segmentation” approach [Ashburner and Friston, 2005].”
MethodFrequencies contributing to functional connectivity in the cerebral cortex in "resting-state" data.
Cordes, D., Haughton, V. M., Arfanakis, K., Carew, J. D., Turski, P. A., Moritz, C. H., Quigley, M., & Meyerand, M. E. (2001) · PubMed Central · Cited by 1,402 · see citing works
Kurth, F., Zilles, K., Fox, P. T., Laird, A. R., & Eickhoff, S. B. (2010) · Brain Structure and Function · doi:10.1007/s00429-010-0255-z · Cited by 1,293 · cited 2× · see citing works
“Furthermore, contrasting cognitive tasks to “action” tasks, the aMCC co-activated more consistently the highly integrative areas DLPFC [Koechlin and Summerfield, 2007], IFJ [Brass et al., 2005], and the aIns [Kurth et al., 2010].”
BackgroundSelf-citationAn information theoretical approach to prefrontal executive function
Koechlin, E., & Summerfield, C. (2007) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2007.04.005 · Cited by 1,183 · cited 2× · see citing works
“Furthermore, contrasting cognitive tasks to “action” tasks, the aMCC co-activated more consistently the highly integrative areas DLPFC [Koechlin and Summerfield, 2007], IFJ [Brass et al.”
BackgroundAnticorrelations in resting state networks without global signal regression
Chai, X. J., Nieto-Castañón, A., Öngür, D., & Whitfield, S. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.048 · Cited by 1,143 · cited 2× · see citing works
“…parameters; (iii) mean grey and white matter as well as CSF signal intensity; (iv) coherent r 2744 r signal changes across the whole brain as reflected by the first five components of a PCA decomposition of the whole-brain time-series (CompCor denoising [Behzadi et al., 2007; Chai et al., 2012]).”
MethodHuman volition: towards a neuroscience of will
Haggard, P. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2497 · Cited by 1,134 · cited 5× · see citing works
“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].”
BackgroundResultInfluentialTurkeltaub, P., Eickhoff, S., Laird, A. R., Fox, M., Wiener, M., & Fox, P. (2011) · Human Brain Mapping · doi:10.1002/hbm.21186 · Cited by 1,114 · cited 1× · see citing works
“For each experiment, the probability distributions of all reported foci are combined into a modeled activation (MA) map [Turkeltaub et al., 2012].”
MethodSelf-citationDorsal anterior cingulate cortex: A role in reward-based decision making
Bush, G., Vogt, B. A., Holmes, J., Dale, A. M., Greve, D., Jenike, M. A., & Rosen, B. R. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.012470999 · Cited by 1,096 · cited 2× · see citing works
“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].”
BackgroundAssignment of functional activations to probabilistic cytoarchitectonic areas revisited
Eickhoff, S., Paus, T., Caspers, S., Grosbras, M.-H., Evans, A. C., Zilles, K., & Amunts, K. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.03.060 · Cited by 1,038 · cited 2× · see citing works
“8 [Eickhoff et al., 2007]), which is based on various cytoarchitectonic studies providing maximum probability maps of several brain areas [cf.”
BackgroundSelf-citationModelling neural correlates of working memory: A coordinate-based meta-analysis
Rottschy, C., Langner, R., Dogan, I., Reetz, K., Laird, A. R., Schulz, J. B., Fox, P. T., & Eickhoff, S. B. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.050 · Cited by 951 · cited 2× · see citing works
“Repeating this process 1,000 times yielded an empirical null distribution of ALEscore differences between the two conditions (“cognition” vs. “action”) [Rottschy et al., 2012].”
Self-citationDamoiseaux, J. S., & Greicius, M. D. (2009) · Brain Structure and Function · doi:10.1007/s00429-009-0208-6 · Cited by 897 · cited 2× · see citing works
“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].”
BackgroundCingulate cortex of the rhesus monkey: II. Cortical afferents
Vogt, B. A., & Pandya, D. N. (1987) · Journal of Comparative Neurology · doi:10.1002/cne.902620208 · Cited by 854 · cited 1× · see citing works
“For example, invasive tract tracing in rhesus monkeys demonstrated that the amygdala is ana- tomically 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.”
BackgroundBeckmann, M., Johansen-Berg, H., & Rushworth, M. F. S. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.3328-08.2009 · Cited by 789 · cited 3× · see citing works
“Finally, the specific FC pattern observed in the current study may be a specific functional feature of r 2750 r the human aMCC, which despite the mentioned restrictions largely resembles the structural connectivity found with diffusion imaging [Beckmann et al., 2009].”
MethodResultInfluentialWeissenbacher, A., Kasess, C., Gerstl, F., Lanzenberger, R., Moser, E., & Windischberger, C. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.05.005 · Cited by 776 · cited 2× · see citing works
“…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: (i) the six motion parameters derived from the image realignment;…”
MethodMapping the functional connectivity of anterior cingulate cortex
Margulies, D. S., Kelly, C. A. M., Uddin, L. Q., Biswal, B. B., Castellanos, F. X., & Milham, M. P. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.05.019 · Cited by 751 · cited 2× · see citing works
“The current results are well in line with previous investigations of resting-state FC, which used anatomically defined seeds throughout the ACC/MCC [Kelly et al., 2009; Margulies et al., 2007; Yu et al., 2011], rather than a functionally derived and, hence, functionally specific seed region used here.”
ResultTwo different areas within the primary motor cortex of man
Geyer, S., Ledberg, A., Schleicher, A., Kinomura, S., Schormann, T., Bürgel, U., Klingberg, T., Larsson, J. T., Zilles, K., & Roland, P. E. (1996) · Nature · doi:10.1038/382805a0 · Cited by 645 · cited 4× · see citing works
“, 2008, 2009], premotor cortex [Geyer et al., 1996], primary motor [Geyer et al.”
BackgroundInfluentialCentenary of Brodmann's map — conception and fate
Zilles, K., & Amunts, K. (2010) · Nature reviews. Neuroscience · doi:10.1038/nrn2776 · Cited by 584 · cited 1× · see citing works
“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].”
BackgroundDevelopment of Anterior Cingulate Functional Connectivity from Late Childhood to Early Adulthood
Kelly, A. M. C., Di Martino, A., Uddin, L. Q., Shehzad, Z., Gee, D. G., Reiss, P. T., Margulies, D. S., Castellanos, F. X., & Milham, M. P. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn117 · Cited by 572 · cited 1× · see citing works
“The current results are well in line with previous investigations of resting-state FC, which used anatomically defined seeds throughout the ACC/MCC [Kelly et al., 2009; Margulies et al., 2007; Yu et al., 2011], rather than a functionally derived and, hence, functionally specific seed region used…”
ResultCunnington, R., Windischberger, C., Deecke, L., & Moser, E. (2002) · NeuroImage · doi:10.1006/nimg.2001.0976 · Cited by 546 · cited 1× · see citing works
“…links the aMCC with prefrontal, premotor and parietal areas as well as the basal ganglia forming a core network for the internal generation of movements [Cunnington et al., 2002; Debaere et al., 2003; Deiber et al., 1999; Jankowski et al., 2009; Lau et al., 2004; van Eimeren et al., 2006].”
BackgroundMapping context and content: the BrainMap model
Fox, P., & Lancaster, J. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn789 · Cited by 518 · cited 2× · see citing works
“To identify studies reporting neural activation within the aMCC region, the BrainMap database was employed (www.brainmap.org [Fox and Lancaster, 2002; Laird et al., 2005]), which did not contain any results of the study the seed VOI was taken from.”
BackgroundMethodSelf-citationEickhoff, S. B., Bzdok, D., Laird, A. R., Roski, C., Caspers, S., Zilles, K., & Fox, P. T. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.05.021 · Cited by 484 · cited 2× · see citing works
“…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].”
MethodSelf-citationAreas 3a, 3b, and 1 of Human Primary Somatosensory Cortex
Geyer, S., Schleicher, A., & Zilles, K. (1999) · NeuroImage · doi:10.1006/nimg.1999.0440 · Cited by 454 · see citing works
Cingulate Neurobiology and Disease
(2009) · doi:10.1093/oso/9780198566960.001.0001 · Cited by 446 · see citing works
Structural and functional dichotomy of human midcingulate cortex
Vogt, B. A., Berger, G. R., & Derbyshire, S. W. G. (2003) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2003.03034.x · Cited by 440 · cited 3× · see citing works
“…[1991] found direct projections to the spinal cord originating from the pMCC. Cytoarchi- tectonic 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).”
BackgroundThe role of the inferior frontal junction area in cognitive control.
BRASS, M., DERRFUSS, J., FORSTMANN, B., & CRAMON, D. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.05.001 · Cited by 437 · cited 7× · see citing works
“The comparison between these MACMs revealed higher convergence of coactivation for “cognition” in contrast to “action” mainly in higher-order and multimodal association areas like DLPFC, IFJ and aIns.”
BackgroundInfluentialMeta-analytical definition and functional connectivity of the human vestibular cortex
zu Eulenburg, P., Caspers, S., Roski, C., & Eickhoff, S. B. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.032 · Cited by 434 · cited 1× · see citing works
“…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: (i) the six motion parameters derived from the image realignment; (ii) the first derivative of the…”
MethodSelf-citationDeiber, M., Honda, M., Ibañez, V., Sadato, N., & Hallett, M. (1999) · Journal of Neurophysiology · doi:10.1152/jn.1999.81.6.3065 · Cited by 423 · cited 4× · see citing works
“It is involved in numerous different contexts from self-initiated finger tapping [Deiber et al., 1999] to reward-based decision making [Bush et al.”
BackgroundInfluentialThe human inferior parietal lobule in stereotaxic space
Caspers, S., Eickhoff, S. B., Geyer, S., Scheperjans, F., Mohlberg, H., Zilles, K., & Amunts, K. (2008) · Brain Structure and Function · doi:10.1007/s00429-008-0195-z · Cited by 395 · cited 3× · see citing works
“, 2013], inferior parietal cortex [Caspers et al., 2008], superior parietal cortex and intraparietal sulcus [Caspers et al.”
BackgroundSelf-citationLaird, A., Lancaster, J., & Fox, P. (2007) · Neuroinformatics · doi:10.1385/ni:3:1:065 · Cited by 379 · cited 2× · see citing works
“To identify studies reporting neural activation within the aMCC region, the BrainMap database was employed (www.brainmap.org [Fox and Lancaster, 2002; Laird et al., 2005]), which did not contain any results of the study the seed VOI was taken from.”
MethodSelf-citationScheperjans, F., Eickhoff, S., Hömke, L., Mohlberg, H., Hermann, K., Amunts, K., & Zilles, K. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhm241 · Cited by 378 · cited 1× · see citing works
“…et al., 1996], primary motor [Geyer et al., 1996] and sensory cortex [Geyer et al., 2000], fusiform gyrus [Caspers et al., 2013], inferior parietal cortex [Caspers et al., 2008], superior parietal cortex and intraparietal sulcus [Caspers et al., 2008; Choi et al., 2006; Scheperjans et al., 2008].”
BackgroundSelf-citationLaird, A. R. (2009) · Frontiers in Neuroinformatics · doi:10.3389/neuro.11.023.2009 · Cited by 372 · see citing works
Self-citationBroca's Region: Novel Organizational Principles and Multiple Receptor Mapping
Amunts, K., Lenzen, M., Friederici, A. D., Schleicher, A., Morosan, P., Palomero-Gallagher, N., & Zilles, K. (2010) · PLoS Biology · doi:10.1371/journal.pbio.1000489 · Cited by 357 · cited 1× · see citing works
“…and receptor architectonics may be found in the following publications reporting on Broca’s region [Amunts et al., 1999], inferior frontal junction [Amunts et al., 2010], anterior and midcingulate cortex [PalomeroGallagher et al., 2008, 2009], premotor cortex [Geyer et al., 1996], primary motor…”
BackgroundSelf-citationEickhoff, S. B., Jbabdi, S., Caspers, S., Laird, A. R., Fox, P. T., Zilles, K., & Behrens, T. E. J. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.5664-09.2010 · Cited by 352 · cited 3× · see citing works
“The first approach made use of the BrainMap database [Laird et al., 2009] to determine convergent task based (stimulus-evoked) neural coactivation with the aMCC VOI across a large variety neuroimaging experiments [cf. Eickhoff et al., 2010].”
BackgroundMethodSelf-citationReceptor architecture of human cingulate cortex: Evaluation of the four‐region neurobiological model
Palomero‐Gallagher, N., Vogt, B. A., Schleicher, A., Mayberg, H. S., & Zilles, K. (2008) · Human Brain Mapping · doi:10.1002/hbm.20667 · Cited by 346 · cited 2× · see citing works
“With respect to the current study, the constitutive distinction between ACC and MCC was validated by extensive cytoarchitectural [Palomero- Gallagher et al., 2008] and multireceptor mapping [Palo- mero-Gallagher et al., 2009] in humans.”
BackgroundResultSelf-citationMetaanalytic connectivity modeling: Delineating the functional connectivity of the human amygdala
Robinson, J. L., Laird, A. R., Glahn, D. C., Lovallo, W. R., & Fox, P. T. (2010) · Human Brain Mapping · doi:10.1002/hbm.20854 · Cited by 327 · cited 2× · see citing works
“…has most commonly been used to investigate the functional connectivity of anatomically defined seed regions [Cauda et al., 2011; Eickhoff et al., 2010; Robinson et al., 2010], brain regions defined by functional properties as in the current study, may likewise be assessed [Jakobs et al., 2012].”
BackgroundMethodSelf-citationAreas 3a, 3b, and 1 of Human Primary Somatosensory Cortex
Geyer, S., Schormann, T., Mohlberg, H., & Zilles, K. (2000) · NeuroImage · doi:10.1006/nimg.2000.0548 · Cited by 315 · cited 1× · see citing works
“…cortex [PalomeroGallagher et al., 2008, 2009], premotor cortex [Geyer et al., 1996], primary motor [Geyer et al., 1996] and sensory cortex [Geyer et al., 2000], fusiform gyrus [Caspers et al., 2013], inferior parietal cortex [Caspers et al., 2008], superior parietal cortex and…”
BackgroundUsing Diffusion Imaging to Study Human Connectional Anatomy
Johansen‐Berg, H., & Rushworth, M. F. S. (2009) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.051508.135735 · Cited by 314 · see citing works
Debaere, F., Wenderoth, N., Sunaert, S., Van Hecke, P., & Swinnen, S. P. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00148-4 · Cited by 305 · cited 1× · see citing works
“…links the aMCC with prefrontal, premotor and parietal areas as well as the basal ganglia forming a core network for the internal generation of movements [Cunnington et al., 2002; Debaere et al., 2003; Deiber et al., 1999; Jankowski et al., 2009; Lau et al., 2004; van Eimeren et al., 2006].”
BackgroundChoi, H.-J., Zilles, K., Mohlberg, H., Schleicher, A., Fink, G. R., Armstrong, E., & Amunts, K. (2006) · The Journal of Comparative Neurology · doi:10.1002/cne.20849 · Cited by 270 · cited 2× · see citing works
“…et al., 1996], primary motor [Geyer et al., 1996] and sensory cortex [Geyer et al., 2000], fusiform gyrus [Caspers et al., 2013], inferior parietal cortex [Caspers et al., 2008], superior parietal cortex and intraparietal sulcus [Caspers et al., 2008; Choi et al., 2006; Scheperjans et al., 2008].”
BackgroundCaspers, S., Eickhoff, S. B., Tobias Rick, A., Anette Von Kapri, A., Kuhlen, T., Huang, R., Shah, N. J., & Zilles, K. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.06.027 · Cited by 246 · see citing works
Self-citationMorecraft, R. J., Stilwell‐Morecraft, K. S., Cipolloni, P. B., Ge, J., McNeal, D. W., & Pandya, D. Ν. (2012) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2011.12.005 · Cited by 237 · see citing works
Cytology and receptor architecture of human anterior cingulate cortex
Palomero‐Gallagher, N., Mohlberg, H., Zilles, K., & Vogt, B. (2008) · Journal of Comparative Neurology · doi:10.1002/cne.21684 · Cited by 231 · see citing works
Self-citationWilled action and attention to the selection of action
Lau, H. C., Rogers, R. D., Ramnani, N., & Passingham, R. E. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.10.034 · Cited by 220 · cited 2× · see citing works
“…links the aMCC with prefrontal, premotor and parietal areas as well as the basal ganglia forming a core network for the internal generation of movements [Cunnington et al., 2002; Debaere et al., 2003; Deiber et al., 1999; Jankowski et al., 2009; Lau et al., 2004; van Eimeren et al., 2006].”
BackgroundYu, C., Zhou, Y., Liu, Y., Jiang, T., Dong, H., Zhang, Y., & Walter, M. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.11.018 · Cited by 215 · cited 2× · see citing works
“The current results are well in line with previous investigations of resting-state FC, which used anatomically defined seeds throughout the ACC/MCC [Kelly et al., 2009; Margulies et al., 2007; Yu et al., 2011], rather than a functionally derived and, hence, functionally specific seed region used here.”
ResultCauda, F., Cavanna, A. E., D’Agata, F., Sacco, K., Duca, S., & Geminiani, G. C. (2011) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2011.21624 · Cited by 208 · cited 2× · see citing works
“That is, while MACM has most commonly been used to investigate the functional connectivity of anatomically defined seed regions [Cauda et al., 2011; Eickhoff et al., 2010; Robinson et al., 2010], brain regions defined by functional properties as in the current study, may likewise be assessed [Jakobs et al.”
MethodThe “What” and “When” of Self-Initiated Movements
Hoffstaedter, F., Grefkes, C., Zilles, K., & Eickhoff, S. B. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhr391 · Cited by 166 · cited 11× · see citing works
“05; [Hoffstaedter et al., 2013]) and the overall FC map of the aMCC seed.”
BackgroundMethodResultInfluentialSelf-citationCaspers, J., Zilles, K., Eickhoff, S. B., Schleicher, A., Mohlberg, H., & Amunts, K. (2012) · Brain Structure and Function · doi:10.1007/s00429-012-0411-8 · Cited by 147 · cited 2× · see citing works
“, 2000], fusiform gyrus [Caspers et al., 2013], inferior parietal cortex [Caspers et al.”
BackgroundSelf-citationCingulate cortex: Diverging data from humans and monkeys
Cole, M. W., Yeung, N., Freiwald, W. A., & Botvinick, M. (2009) · Trends in Neurosciences · doi:10.1016/j.tins.2009.07.001 · Cited by 136 · see citing works
Approaches for the Integrated Analysis of Structure, Function and Connectivity of the Human Brain
Eickhoff, S. B., & Grefkes, C. (2011) · Clinical EEG and Neuroscience · doi:10.1177/155005941104200211 · Cited by 106 · cited 1× · see citing works
“In the cur- rent study, we addressed this question by investigating the functional connectivity (FC) of a functionally defined part of the aMCC associated with intentional movement generation [Hoffstaedter et al., 2013] applying two complementary approaches [cf. Eickhoff and Grefkes, 2011].”
MethodSelf-citationJakobs, O., Langner, R., Caspers, S., Roski, C., Cieslik, E. C., Zilles, K., Laird, A. R., Fox, P. T., & Eickhoff, S. B. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.037 · Cited by 106 · cited 4× · see citing works
“…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: (i) the six motion parameters derived from the…”
BackgroundMethodInfluentialSelf-citationDistinct striatal regions for planning and executing novel and automated movement sequences
JANKOWSKI, J., SCHEEF, L., HUPPE, C., & BOECKER, H. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.10.059 · Cited by 89 · cited 1× · see citing works
“…links the aMCC with prefrontal, premotor and parietal areas as well as the basal ganglia forming a core network for the internal generation of movements [Cunnington et al., 2002; Debaere et al., 2003; Deiber et al., 1999; Jankowski et al., 2009; Lau et al., 2004; van Eimeren et al., 2006].”
BackgroundReetz, K., Dogan, I., Rolfs, A., Binkofski, F., Schulz, J. B., Laird, A. R., Fox, P. T., & Eickhoff, S. B. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.05.058 · Cited by 72 · cited 1× · see citing works
“…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].”
MethodSelf-citationImplementation of visuospatial cues in response selection
van Eimeren, T., Wolbers, T., Münchau, A. M., Büchel, C., Weiller, C., & Siebner, H. R. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.07.014 · Cited by 63 · cited 1× · see citing works
“…links the aMCC with prefrontal, premotor and parietal areas as well as the basal ganglia forming a core network for the internal generation of movements [Cunnington et al., 2002; Debaere et al., 2003; Deiber et al., 1999; Jankowski et al., 2009; Lau et al., 2004; van Eimeren et al., 2006].”
BackgroundCytology of human dorsal midcingulate and supplementary motor cortices
Vogt, B. A., & Vogt, L. J. (2003) · Journal of Chemical Neuroanatomy · doi:10.1016/j.jchemneu.2003.09.004 · Cited by 59 · cited 1× · see citing works
“…[1991] found direct projections to the spinal cord originating from the pMCC. Cytoarchi- tectonic 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).”
BackgroundVogt, B. A., Vogt, L. J., & Hof, P. R. (2004) · Elsevier eBooks · doi:10.1016/b978-012547626-3/50025-9 · Cited by 54 · see citing works
Architecture, Neurocytology and Comparative Organization of Monkey and Human Cingulate Cortices
Vogt, B. A. (2009) · doi:10.1093/oso/9780198566960.003.0003 · Cited by 37 · see citing works
Broca's region revisited: Cytoarchitecture and intersubject variability
Amunts, K., Schleicher, A., B�rgel, U., Mohlberg, H., Uylings, H. B. M., & Zilles, K. (1999) · The Journal of Comparative Neurology · doi:10.1002/(sici)1096-9861(19990920)412:2
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Neural correlates of action: Comparing meta-analyses of imagery, observation, and execution
Hardwick, R. M., Caspers, S., Eickhoff, S. B., & Swinnen, S. P. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.08.003 · Cited by 908 · see citing works
Self-citationLarge-scale functional neural network correlates of response inhibition: an fMRI meta-analysis
Zhang, R., Geng, X., & Lee, T. M. C. (2017) · Brain Structure and Function · doi:10.1007/s00429-017-1443-x · Cited by 398 · see citing works
“Notably, higher MCG activity was observed when subjects were required to perform a dual task, e.g., deciding which hand will perform the action and when to give the response (Hoffstaedter et al. 2013, 2014).”
BackgroundThe inferior parietal lobule and temporoparietal junction: A network perspective
Igelström, K. M., & Graziano, M. S. A. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.01.001 · Cited by 367 · see citing works
“, 2009), high similarity of resting state networks with task-related activations (Hoffstaedter et al., 2014; Smith et al., 2009), and correspondence with structural pathways (Greicius et al.”
Get a grip: individual variations in grip strength are a marker of brain health
Carson, R. G. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.07.023 · Cited by 244 · see citing works
The transsexual brain – A review of findings on the neural basis of transsexualism
Smith, E. S., Junger, J., Derntl, B., & Habel, U. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.09.008 · Cited by 166 · see citing works
“The midcingulate cortex, particularly its anterior part, is implicated in motor control and movement generation (Hoffstaedter et al., 2014).”
BackgroundTahmasian, M., Eickhoff, S. B., Giehl, K., Schwartz, F., Herz, D. M., Drzezga, A. E., van Eimeren, T., Laird, A. R., Fox, P. T., Khazaie, H., et al. (2017) · Cortex · doi:10.1016/j.cortex.2017.03.016 · Cited by 134 · see citing works
Self-citationLepley, A. S., Grooms, D. R., Burland, J. P., Davi, S. M., Kinsella-Shaw, J. M., & Lepley, L. K. (2019) · Experimental Brain Research · doi:10.1007/s00221-019-05499-x · Cited by 127 · see citing works
Worringer, B., Langner, R., Koch, I., Eickhoff, S. B., Eickhoff, C. R., & Binkofski, F. C. (2019) · Brain Structure and Function · doi:10.1007/s00429-019-01870-4 · Cited by 126 · see citing works
Uddin, L. Q. (2021) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.05.010 · Cited by 116 · see citing works
“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…”
BackgroundThe Cortical Motor Areas and the Emergence of Motor Skills: A Neuroanatomical Perspective
Strick, P. L., Dum, R. P., & Rathelot, J.-A. (2021) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-070918-050216 · Cited by 108 · see citing works
Volpert‐Esmond, H. I., Merkle, E. C., Levsen, M. P., Ito, T. A., & Bartholow, B. D. (2017) · Psychophysiology · doi:10.1111/psyp.13044 · Cited by 103 · see citing works
“Initially assumed to reflect the activity of a neural error-monitoring system sensitive to internal conflict (see Botvinick & Cohen, 2014; Holroyd & Coles, 2002), the ERN (and its neural generators in the dACC) is now conceptualized as part of a broader neural salience network that is necessary for making performance…”
BackgroundRuan, J., Bludau, S., Palomero‐Gallagher, N., Caspers, S., Mohlberg, H., Eickhoff, S. B., Seitz, R. J., & Amunts, K. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1738-6 · Cited by 107 · see citing works
Self-citationNeural signatures of prosocial behaviors
Bellucci, G., Camilleri, J. A., Eickhoff, S. B., & Krüeger, F. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.07.006 · Cited by 106 · see citing works
“These results are in line with previous studies proposing cognitive-motor control as the core functional computation of this region (Botvinick et al., 2004; Guo et al., 2013; Hoffstaedter et al., 2014; Shackman et al., 2011; Shenhav et al., 2014; Singer et al., 2004).”
ResultSelf-citationNeural correlates underlying micrographia in Parkinson’s disease
Wu, T., Zhang, J., Hallett, M., Feng, T., Hou, Y., & Chan, P. (2015) · Brain · doi:10.1093/brain/awv319 · Cited by 106 · see citing works
Motor dexterity and strength depend upon integrity of the attention-control system
Rinne, P., Hassan, M., Fernandes, C., Han, E., Hennessy, E., Waldman, A. D., Sharma, P. K., Soto, D., Leech, R., Malhotra, P., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1715617115 · Cited by 96 · see citing works
“, strength and dexterity) and cerebral regions involved in attention control, particularly cingulate, inferior frontal, and temporoparietal cortices (17, 18), that become more apparent with aging or brain injury (19–22).”
Gay, C. W., Robinson, M. E., Lai, S., O’Shea, A. M., Craggs, J. G., Price, D. D., & Staud, R. M. (2015) · Brain Connectivity · doi:10.1089/brain.2015.0366 · Cited by 98 · see citing works
“The aMCC has a key role for cognitive aspects of movement generation, that is, intentional motor control (Hoffstaedter et al., 2014).”
BackgroundNguyen, V. T., Breakspear, M. J., & Cunnington, R. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.2571-14.2014 · Cited by 94 · see citing works
Brain Mechanisms Underlying Reactive Aggression in Borderline Personality Disorder—Sex Matters
Herpertz, S. C., Nagy, K., Ueltzhöffer, K. J., Schmitt, R., Mancke, F., Schmahl, C. G., & Bertsch, K. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.02.1175 · Cited by 92 · see citing works
“This is further supported by negative connectivity found between the amygdala and the posterior MCC as a region of intentional motor control (36) (see Fig.”
BackgroundAsemi, A., Ramaseshan, K. S., Burgess, A., Diwadkar, V. A., & Bressler, S. L. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00309 · Cited by 88 · see citing works
“…mask does not specifically identify the region we label as the dACC, we identified those portions of the structure that have been most closely associated with motor control (Paus, 2001), and in separate studies have been referred to as the ‘‘midcingulate’’ cortex (Hoffstaedter et al., 2014, 2015).”
BackgroundNetwork Architecture Underlying Basal Autonomic Outflow: Evidence from Frontotemporal Dementia
Sturm, V. E., Brown, J. A., Hua, A. Y., Lwi, S. J., Zhou, J. H., Kurth, F., Eickhoff, S. B., Rosen, H. J., Kramer, J. H., Miller, B. L., et al. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.0347-18.2018 · Cited by 84 · see citing works
“Both aMCC and dAI are key structures in an inhibitory control system that constrains cognition and behavior and may also downregulate physiological arousal (Aron et al., 2004; Nee et al., 2007; Touroutoglou et al., 2012; EnriquezGeppert et al., 2013; Hoffstaedter et al., 2014).”
BackgroundSelf-citationNeural networks related to dysfunctional face processing in autism spectrum disorder
Nickl‐Jockschat, T., Rottschy, C., Thommes, J., Schneider, F. W., Laird, A. R., Fox, P. T., & Eickhoff, S. B. (2014) · Brain Structure and Function · doi:10.1007/s00429-014-0791-z · Cited by 81 · see citing works
“More precisely, our aim was to cross-validate task-independent functional connectivity using an independent dataset, following previous reports that this combination allows the robust definition of consensus (across task and rest) functional connectivity patterns (Amft et al. 2014; Reetz et al. 2012; Jakobs et al. 201…”
BackgroundMethodSelf-citationThe Neural Mechanisms of Meditative Practices: Novel Approaches for Healthy Aging
Acevedo, B. P., Pospos, S., & Lavretsky, H. (2016) · Current Behavioral Neuroscience Reports · doi:10.1007/s40473-016-0098-x · Cited by 78 · see citing works
Going beyond primary motor cortex to improve brain–computer interfaces
Gallego, J. Á., Makin, T. R., & McDougle, S. D. (2022) · Trends in Neurosciences · doi:10.1016/j.tins.2021.12.006 · Cited by 70 · see citing works
“Finally, human neuroimaging studies suggest a key role for the anterior midcingulate cortex in the voluntary initiation of movements [37] and integration of environmental cues during learning, potentially providing top-down control signals to other regions [38].”
BackgroundThe neural basis of sex differences in sexual behavior: A quantitative meta-analysis
Poeppl, T. B., Langguth, B., Rupprecht, R., Safron, A., Bzdok, D., Laird, A. R., & Eickhoff, S. B. (2016) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2016.10.001 · Cited by 69 · see citing works
“, 2011), which is in line with the involvement of the MCC (together with LPFC and premotor areas) in intentional initiation of behavior (Hoffstaedter et al., 2014).”
BackgroundSelf-citationTinaz, S., Para, K., Vives‐Rodriguez, A., Martinez‐Kaigi, V., Nalamada, K., Sezgi̇n, M., Scheinost, D., Hampson, M., Louis, E. D., & Constable, R. T. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00496 · Cited by 62 · see citing works
“, 2017) which are dorsomedial frontal areas involved in intentional motor control including decisions regarding which action to perform and when to perform it (Picard and Strick, 2001; Hoffstaedter et al., 2014; Zapparoli et al., 2017).”
BackgroundThe tenacious brain: How the anterior mid-cingulate contributes to achieving goals
Touroutoglou, A., Andreano, J. M., Dickerson, B. C., & Barrett, L. F. (2019) · Cortex · doi:10.1016/j.cortex.2019.09.011 · Cited by 63 · see citing works
Soloff, P. H., White, R. T., Omari, A. A., Ramaseshan, K. S., & Diwadkar, V. A. (2015) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2015.04.006 · Cited by 68 · see citing works
Meta-analytic connectivity modeling revisited: Controlling for activation base rates
Langner, R., Rottschy, C., Laird, A. R., Fox, P. T., & Eickhoff, S. B. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.06.007 · Cited by 63 · see citing works
Self-citationCortical drive to breathe in amyotrophic lateral sclerosis: a dyspnoea-worsening defence?
Georges, M., Morawiec, É., Raux, M., Gonzalez‐Bermejo, J., Pradat, P., Similowski, T., & Morélot‐Panzini, C. (2016) · European Respiratory Journal · doi:10.1183/13993003.01686-2015 · Cited by 64 · see citing works
Motor system dysfunction in the schizophrenia diathesis: Neural systems to neurotransmitters
Abboud, R., Noronha, C., & Diwadkar, V. A. (2017) · European Psychiatry · doi:10.1016/j.eurpsy.2017.04.004 · Cited by 62 · see citing works
Neural networks of aggression: ALE meta-analyses on trait and elicited aggression
Wong, T. Y., Sid, A., Wensing, T., Eickhoff, S. B., Habel, U., Gur, R. C., & Nickl‐Jockschat, T. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1765-3 · Cited by 63 · see citing works
“2014) as well as intentional motor control (Hoffstaedter et al. 2014).”
Self-citationMind-Wandering Tends to Occur under Low Perceptual Demands during Driving
Lin, C., Chuang, C., Kerick, S. E., Mullen, T. R., Jung, T., Ko, L., Chen, S., King, J. T., & McDowell, K. (2016) · Scientific Reports · doi:10.1038/srep21353 · Cited by 57 · see citing works
Tomiyama, H., Murayama, K., Nemoto, K., Tomita, M., Hasuzawa, S., Mizobe, T., Kato, K., Ohno, A., Tsuruta, S., Togao, O., et al. (2022) · Human Brain Mapping · doi:10.1002/hbm.25699 · Cited by 55 · see citing works
“Additionally, it is suggested that task-evoked activity is not independent from resting-state spontaneous functional connectivity (Hoffstaedter et al., 2014; Smith et al., 2009); however, the relationship between them is not straightforward (He, 2013; Lynch et al.”
BackgroundClos, M., Rottschy, C., Laird, A. R., Fox, P. T., & Eickhoff, S. B. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.05.030 · Cited by 59 · see citing works
Self-citationBalsters, J. H., Mantini, D., Apps, M. A. J., Eickhoff, S. B., & Wenderoth, N. (2016) · NeuroImage: Clinical · doi:10.1016/j.nicl.2016.03.016 · Cited by 50 · see citing works
Self-citationHoffstaedter, F., Grefkes, C., Roski, C., Caspers, S., Zilles, K., & Eickhoff, S. B. (2014) · Brain Structure and Function · doi:10.1007/s00429-013-0696-2 · Cited by 53 · see citing works
“Thereof, the aMCC seems to represent a crucial region for cognitive motor control (Paus 2001; Hoffstaedter et al. 2013a), while the pre-SMA is associated with rather specific movement selection (van Eimeren et al. 2006) and inhibition (Swick et al. 2011).”
BackgroundSelf-citationMultimodal connectivity of motor learning-related dorsal premotor cortex
Hardwick, R. M., Lesage, E., Eickhoff, C. R., Clos, M., Fox, P. M., & Eickhoff, S. B. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.08.024 · Cited by 48 · see citing works
“Seed-based resting state functional connectivity Images were acquired using a Siemens Tim Trio 3 T scanner using blood oxygen level–dependent (BOLD) contrast (260 whole-brain echo-planar imaging (EPI) volumes per subject, gradient-echo EPI pulse sequence, repetition time (TR) = 2.5 s, echo time…”
BackgroundMethodResultInfluentialSelf-citationXia, X., Fan, L., Chen, C., Eickhoff, S. B., Chen, J., Li, H., & Jiang, T. (2017) · Human Brain Mapping · doi:10.1002/hbm.23636 · Cited by 48 · see citing works
“The contrast analysis was performed to test the “true” difference between two MACMs against the contrast null-distribution with the resulting Pvalues thresholded at P 0.95 and an extended cluster threshold size of 50 [cf. Hoffstaedter et al., 2014].”
MethodInfluentialSelf-citationJannusch, K., Jockwitz, C., Bidmon, H. J., Moebus, S., Amunts, K., & Caspers, S. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00596 · Cited by 50 · see citing works
“In addition to that, artificial and counfounding signals were further removed by a PCA denoising (Behzadi et al., 2007; Hoffstaedter et al., 2014; Soltysik et al., 2015; Bright et al., 2017; Varikuti et al., 2017).”
BackgroundSelf-citationThe human cingulum: From the limbic tract to the connectionist paradigm
Maldonado, I. L., de Matos, V. P., Cuesta, T. A. C., Herbet, G., & Destrieux, C. (2020) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2020.107487 · Cited by 47 · see citing works
Hardwick, R. M., Caspers, S., Eickhoff, S. B., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/198432 · Cited by 48 · see citing works
“Similarly, SMA is associated with linking conditional rules to actions (Nachev et al., 2008), and is important to self-initiated actions (Deecke and Kornhuber, 1978; Hoffstaedter et al., 2013b).”
BackgroundSelf-citationANIMA: A data-sharing initiative for neuroimaging meta-analyses
Reid, A., Bzdok, D., Genon, S., Langner, R., Müller, V. I., Eickhoff, C. R., Hoffstaedter, F., Cieslik, E. C., Fox, P. T., Laird, A. R., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.07.060 · Cited by 42 · see citing works
“Abbreviations: ALE, activation likelihood estimation; MACM, meta-analytic connectivity modelling; CBP, coactivation-based parcellation; RS-fMRI, resting-state fMRI connectivity.”
InfluentialSelf-citationNakajima, R., Kinoshita, M., Yahata, T., & Nakada, M. (2019) · Journal of neurosurgery · doi:10.3171/2018.10.jns182391 · Cited by 45 · see citing works
Li, Y., Si, L., Shen, B., & Yang, X. (2021) · Journal of Neurology · doi:10.1007/s00415-021-10868-0 · Cited by 42 · see citing works
Yin, Y., He, X., Xu, M., Hou, Z., Song, X., Sui, Y., Liu, Z., Jiang, W., Yue, Y., Zhang, Y., et al. (2016) · Scientific Reports · doi:10.1038/srep37617 · Cited by 40 · see citing works
Connectivity and functional profiling of abnormal brain structures in pedophilia
Poeppl, T. B., Eickhoff, S. B., Fox, P. T., Laird, A. R., Rupprecht, R., Langguth, B., & Bzdok, D. (2015) · Human Brain Mapping · doi:10.1002/hbm.22777 · Cited by 42 · see citing works
“…causal connection is strengthened by the FC of the insula seed with key structures for cognitive and motor control such as inferior frontal gyrus, supplementary motor area, midcingulate cortex, thalamus, basal ganglia, and cerebellum (cf. Table I) [Cieslik et al., 2013; Hoffstaedter et al., 2014].”
BackgroundSelf-citationDeficits in task-set maintenance and execution networks in Parkinson’s disease
Tinaz, S., Lauro, P. M., Hallett, M., & Horovitz, S. G. (2015) · Brain Structure and Function · doi:10.1007/s00429-014-0981-8 · Cited by 42 · see citing works
“Evidence indicates that resting-state and task-specific functional connectivity patterns of a network overlap strongly (Dosenbach et al. 2007; Hoffstaedter et al. 2014), implicating that the task-free intrinsic connectivity of a network may shed light on the basic neural organization of behavior (Seeley et al.”
BackgroundThe emerging neuroscience of social punishment: Meta-analytic evidence
Bellucci, G., Camilleri, J. A., Iyengar, V., Eickhoff, S. B., & Krüeger, F. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.04.011 · Cited by 39 · see citing works
“The MCC might monitor the contextual situation and urge to take action, representing negative emotions associated with the transgression (Hoffstaedter et al., 2014; Lieberman and Eisenberger, 2015).”
BackgroundSelf-citationDiwadkar, V. A., Asemi, A., Burgess, A., Chowdury, A., & Bressler, S. L. (2017) · PLoS ONE · doi:10.1371/journal.pone.0172531 · Cited by 42 · see citing works
Neural correlates of progressive reduction of bradykinesia in de novo Parkinson's disease
Lee, E., Lee, J. E., Yoo, K., Hong, J. Y., Oh, J. S., Sunwoo, M. K., Kim, J. S., Jeong, Y., Lee, P. H., Sohn, Y. H., et al. (2014) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2014.09.027 · Cited by 39 · see citing works
Pain-Related Suppression of Beta Oscillations Facilitates Voluntary Movement
Misra, G., Ofori, E., Chung, J. W., & Coombes, S. A. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw061 · Cited by 37 · see citing works
“Premotor areas have the anatomical substrate to influence motor processing and motor output via connections with the anterior midcingulate cortex (Dum et al. 2009; Perini et al. 2013; Hoffstaedter et al. 2014; Misra and Coombes 2015) and the primary motor cortex (Picard and Strick 1996, 2001, 2003).”
BackgroundDiurnal variation of default mode network in patients with restless legs syndrome
Ku, J. H., Lee, Y. S., Chang, H. W., Earley, C. J., Allen, R. P., & Cho, Y. W. (2017) · Sleep Medicine · doi:10.1016/j.sleep.2017.09.031 · Cited by 39 · see citing works
Wong, T. Y., Raduà, J., Pomarol‐Clotet, E., Salvador, R. M., Albajes‐Eizagirre, A., Solanes, A., Canales-Rodríguez, E. J., Guerrero‐Pedraza, A., Sarró, S., Kircher, T. T. J., et al. (2019) · Psychological Medicine · doi:10.1017/s0033291719002149 · Cited by 38 · see citing works
Neural predictors of sensorimotor adaptation rate and savings
Cassady, K. E., Ruitenberg, M. F. L., Koppelmans, V., Reuter‐Lorenz, P. A., Dios, Y. E. D., Gadd, N. E., Wood, S. J., Riascos, R., Kofman, I. S., Bloomberg, J. J., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23924 · Cited by 34 · see citing works
“Neuroimaging studies suggest that the dACC plays a critical role in the cognitive aspect of movement generation, that is, intentional motor control (Hoffstaedter, Grefkes, Zilles, & Eickhoff, 2013; Hoffstaedter et al., 2014).”
BackgroundBarber, A. D., Sarpal, D. K., John, M., Fales, C. L., Mostofsky, S. H., Malhotra, A. K., Karlsgodt, K. H., & Lencz, T. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.01.024 · Cited by 29 · see citing works
Lepley, L. K., Grooms, D. R., Burland, J. P., Davi, S. M., Mosher, J. L., Cormier, M. L., & Lepley, A. S. (2018) · Physical Therapy in Sport · doi:10.1016/j.ptsp.2018.08.010 · Cited by 32 · see citing works
Lee, D., Namkoong, K., Lee, J., & Jung, Y. (2019) · Addiction Biology · doi:10.1111/adb.12868 · Cited by 31 · see citing works
Mathys, C., Hoffstaedter, F., Caspers, J., Caspers, S., dmeyer, M. S. ⁄., Grefkes, C., Eickhoff, S. B., & Langner, R. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00178 · Cited by 30 · see citing works
Self-citationNeurostructural correlates of consistent and weak handedness
McDowell, A., Felton, A., Vazquez, D., & Chiarello, C. (2015) · Laterality Asymmetries of Body Brain and Cognition · doi:10.1080/1357650x.2015.1096939 · Cited by 25 · see citing works
“However, the mid-anterior cingulate cortex has recently been identified as an important region in the cognitive control of movement (Hoffstaedter, Grefkes, Zilles, & Eickhoff, 2013, 2014).”
BackgroundAcute and Chronic Effects of Multiple Concussions on Midline Brain Structures
Churchill, N. W., Hutchison, M. G., Graham, S. J., & Schweizer, T. A. (2021) · Neurology · doi:10.1212/wnl.0000000000012580 · Cited by 28 · see citing works
“Cognitive score (SCAT5) (baseline) 38 (34, 41) 40 (37, 42) 37 (35, 42) 39 (28, 41)”
Čolić, L., Li, M., Demenescu, L. R., Li, S., Müller, I., Richter, A., Behnisch, G., Seidenbecher, C. I., Speck, O., Schott, B. H., et al. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.1985-17.2018 · Cited by 21 · see citing works
Shiohama, T., Levman, J., Baumer, N., & Takahashi, E. (2019) · Pediatric Neurology · doi:10.1016/j.pediatrneurol.2019.03.015 · Cited by 27 · see citing works
Motivation in the Service of Allostasis: The Role of Anterior Mid-Cingulate Cortex
Touroutoglou, A., Andreano, J. M., Adebayo, M., Lyons, S., & Barrett, L. F. (2019) · Advances in Motivation Science · doi:10.1016/bs.adms.2018.09.002 · Cited by 25 · see citing works
“Numerous studies indicate that aMCC is engaged by cognitively demanding tasks involving executive function, motor function, memory, attention, language, and mathematics (Cole and Schneider, 2007; Duncan, 2010, 2013; Duncan and Owen, 2000; Power and Petersen, 2013; Hoffstaedter et al., 2014).”
BackgroundScale‐free functional brain dynamics during recovery from sport‐related concussion
Churchill, N. W., Hutchison, M. G., Graham, S. J., & Schweizer, T. A. (2020) · Human Brain Mapping · doi:10.1002/hbm.24962 · Cited by 24 · see citing works
“The significant brain regions, which include inferior frontal, anterior midcingulate and rostral thalamic ROIs, are consistently implicated in motor control (Hoffstaedter et al., 2014; Lissek et al., 2007; Peyron et al., 2007).”
BackgroundBadea, A., Delpratt, N. A., Anderson, R. J., Dibb, R., Qi, Y. P., Wei, H., Liu, C., Wetsel, W. C., Avants, B., & Colton, C. A. (2019) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2019.03.022 · Cited by 22 · see citing works
Fournier, J. C. J., Bertocci, M. A., Ladouceur, C. D., Bonar, L. K., Monk, K., Abdul‐waalee, H., Versace, A., Santos, J. P. L., Iyengar, S., Birmaher, B. B., et al. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-021-01001-w · Cited by 25 · see citing works
Wang, Y., Jiang, Y., Su, W., Xu, L., Wei, Y., Tang, Y., Zhang, T., Tang, X., Hu, Y., Cui, H., et al. (2021) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s305117 · Cited by 25 · see citing works
“The midcingulate cortex is hypothesized to be involved in cognitive control and intentional motor control and selection.(45) Larabi et al found that with regard to cognitive insight, patients with poorer self-reflective abilities had lower activation of brain systems managing control and execution of emotion regulatio…”
BackgroundThirioux, B., Langbour, N., Bokam, P., Renaudin, L., Wassouf, I., Harika‐Germaneau, G., & Jaafari, N. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac229 · Cited by 24 · see citing works
Pscherer, C., Wendiggensen, P., Mückschel, M., Bluschke, A., & Beste, C. (2023) · Human Brain Mapping · doi:10.1002/hbm.26486 · Cited by 23 · see citing works
“Furthermore, the anterior midcingulate cortex has been shown to be crucially involved in a functional network implementing the realization of intentional motor control (Hoffstaedter et al., 2013).”
BackgroundBrilliant, Yaar‐Soffer, Y., Herrmann, C. S., Henkin, Y., & Kral, A. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120546 · Cited by 26 · see citing works
“Involvement of cingulate gyrus is related to conflict processing (Haupt et al., 2009; Christensen et al., 2011), action selection (Akam et al., 2021) and translation of intentions into motor actions (Hoffstaedter et al., 2014; Holroyd and Verguts, 2021).”
Zamorano, A. M., Montoya, P., Cifré, I., Vuust, P., Riquelme, I., & Kleber, B. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116103 · Cited by 20 · see citing works
Network convergence zones in the anterior midcingulate cortex
Margulies, D. S., & Uddin, L. Q. (2019) · Handbook of clinical neurology · doi:10.1016/b978-0-444-64196-0.00007-8 · Cited by 20 · see citing works
Jünemann, K., Engels, A., Marié, D., Worschech, F., Scholz, D. S., Grouiller, F., Kliegel, M., Ville, D. V. D., ALTENMÜLLER, E. O., Krüger, T. H. C., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-46513-1 · Cited by 24 · see citing works
Friedman, A. L., Burgess, A., Ramaseshan, K. S., Easter, P., Khatib, D., Chowdury, A., Arnold, P. D., Hanna, G. L., Rosenberg, D. R., & Diwadkar, V. A. (2016) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2016.12.005 · Cited by 21 · see citing works
Larabi, D. I., van der Meer, L., Pijnenborg, G. H. M., Ćurĉić‐Blake, B., & Aleman, A. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.09.009 · Cited by 21 · see citing works
“The midcingulate cortex (MCC) has been suggested to be involved in cognitive control and intentional motor control and selection (Ho ff staedter et al., 2014), while the pre-and postcentral gyri have been associated with movement but also with motor imagery and task execution (Stippich et al., 2002).”
Tuncer, M. S., Fekonja, L. S., Ott, S., Pfnür, A., Karbe, A.-G., Engelhardt, M., Faust, K., Picht, T., Coburger, J., Dührsen, L., et al. (2022) · Journal of neurosurgery · doi:10.3171/2022.10.jns221303 · Cited by 22 · see citing works
Dyck, D. V., Deconinck, N., Aeby, A., Baijot, S., Coquelet, N., Trotta, N., Rovaï, A., Goldman, S., Urbain, C. M., Wens, V., et al. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118368 · Cited by 18 · see citing works
Jung, W., Im, G. H., Chung, J. J., Ahn, S.-Y., Jeon, T. Y., Chang, Y. S., Park, W. S., Kim, J. H., Kim, K. S., & Lee, J. H. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.11.032 · Cited by 19 · see citing works
“The ACC, an integral part of the prefrontal cortex, is involved in regulating cognitive behavioral control over environmental demands, internal generation of movements or intentional motor control as well as emotional processing (Sheth et al., 2012; Hoffstaedter et al., 2014).”
BackgroundEl-Sourani, N., Trempler, I., Wurm, M. F., Fink, G. R., & Schubotz, R. I. (2019) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01480 · Cited by 19 · see citing works
Taş, C., Mogulkoc, H., Eryılmaz, G., Göğcegöz, I., Erguzel, T. T., Metin, B., & Tarhan, N. (2016) · Neural Computing and Applications · doi:10.1007/s00521-016-2451-0 · Cited by 19 · see citing works
Le, T. M., Wang, W., Zhornitsky, S., Dhingra, I., Zhang, S., & Li, C.-S. R. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz194 · Cited by 16 · see citing works
“The ACC supports not only motor responses but also the suppression of inappropriate movements during motor control (Paus et al. 1993; Hoffstaedter et al. 2014).”
BackgroundDefault network connectivity decodes brain states with simulated microgravity
Zeng, L., Liao, Y., Zhou, Z., Shen, H., Liu, Y., Liu, X., & Hu, D. (2015) · Cognitive Neurodynamics · doi:10.1007/s11571-015-9359-8 · Cited by 15 · see citing works
The anterior midcingulate cortex as a neural node underlying hostility in young adults
Nakagawa, S., Takeuchi, H., Taki, Y., Nouchi, R., Sekiguchi, A., Kotozaki, Y., Miyauchi, C. M., Iizuka, K., Yokoyama, R., Shinada, T., et al. (2016) · Brain Structure and Function · doi:10.1007/s00429-016-1200-6 · Cited by 15 · see citing works
“2014), cognition (Hoffstaedter et al. 2014), emotion regulation (Kohn et al.”
BackgroundThibaut, A., Moissenet, F., Perri, C. D., Schreiber, C., Remacle, A., Kolanowski, E., Chantraine, F., Bernard, C., Hustinx, R., Tshibanda, J., et al. (2017) · Neurorehabilitation · doi:10.3233/nre-161410 · Cited by 15 · see citing works
“Our results showed that residual cortical plasticity mainly occurred in the damaged motor regions and in the anterior cingulate cortex (known to be part of the motor control network (Hoffstaedter et al., 2014)) in two patients with chronic stroke.”
Papadopoulos, A., Sforazzini, F., Egan, G. F., & Jamadar, S. D. (2017) · Human Brain Mapping · doi:10.1002/hbm.23847 · Cited by 14 · see citing works
Zhou, F., Huang, M., Wu, L., Tan, Y., Guo, J., Zhang, Y., He, L., & Gong, H. (2018) · Journal of Pain Research · doi:10.2147/jpr.s148076 · Cited by 13 · see citing works
“Previous studies demonstrated that the dACC connectivity network is significantly associated with motor function and cognitive function, both during tasks and resting states.(28,29,31) Bidirectional interactions exist between the dACC and the SMA.”
BackgroundGärtner, M., Weigand, A., Scheidegger, M., Lehmann, M., Wyss, P. O., Wunder, A., Henning, A., & Grimm, S. (2022) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-021-01377-2 · Cited by 13 · see citing works
“Decreased FC was observed between the pgACC and the anterior mid cingulate cortex (aMCC), a region implicated in cognitive aspects of motor control [72], and the experience of negative affect and pain [73].”
BackgroundPrediction and action in cortical pain processing
Koppel, L., Novembre, G., Kämpe, R., Savallampi, M., & Morrison, I. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac102 · Cited by 14 · see citing works
Ravishankar, M., Morris, A., Burgess, A., Khatib, D., Stanley, J. A., & Diwadkar, V. A. (2017) · Brain and Cognition · doi:10.1016/j.bandc.2017.10.003 · Cited by 13 · see citing works
“The recent efforts address the functional role that resting state network interactions might play, and this emergent evidence suggests that the resting state often assumes highly specific “active” roles and/or resting networks are associated with task-active networks in specific domains (Dosenbach et al., 2007; Hoffst…”
Smith, E. S., Junger, J., Pauly, K. D., et al. (2018) · Hormones and Behavior · doi:10.1016/j.yhbeh.2018.07.001 · Cited by 14 · see citing works
“The midcingulate cortex is involved in cognitive and motor control, conflict monitoring and response conflict (Enriquez-Geppert et al., 2013; Hoffstaedter et al., 2014; Shackman et al., 2011).”
Damage to the Frontal Aslant Tract Accounts for Visuo-Constructive Deficits in Alzheimer’s Disease
Serra, L., Gabrielli, G. B., Tuzzi, E., Spanò, B., Giulietti, G., Failoni, V., Marra, C., Caltagirone, C., Koch, G., Cercignani, M., et al. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170638 · Cited by 13 · see citing works
“13 responses) [21, 22], whereas more lateral areas such as the BA6 and the Broca’s area (BA44) have been considered involved in movement organization.”
Neural substrates underlying progressive micrographia in Parkinson's disease
Kanno, S., Shinohara, M., Kanno, K., Gomi, Y., Uchiyama, M., Nishio, Y., Baba, T., Hosokai, Y., Takeda, A., Fukuda, H., et al. (2020) · Brain and Behavior · doi:10.1002/brb3.1669 · Cited by 13 · see citing works
“In the current FDG-PET study, we found that the appearance of PM was associated with dysfunction of the CMAr in free writing and with dysfunction of the SOG in copying.”
ResultInfluentialEglit, G. M. L., Lopez, F., Schiehser, D., Pirogovsky-Turk, E., Litvan, I., Lessig, S., & Filoteo, J. (2020) · Movement Disorders Clinical Practice · doi:10.1002/mdc3.13127 · Cited by 13 · see citing works
Echolalia in patients with primary progressive aphasia
Ota, S., Kanno, S., Morita, A., Narita, W., Kawakami, N., Kakinuma, K., Saito, Y., Kobayashi, E., Baba, T., Iizuka, O., et al. (2020) · European Journal of Neurology · doi:10.1111/ene.14673 · Cited by 12 · see citing works
“The pre-SMA is not only known as a key structure for planning complex voluntary movements, including word production, but also plays a crucial role in inhibitory control [37,38].”
BackgroundFisher, L. R., & Lehrer, P. M. (2021) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-021-09524-0 · Cited by 13 · see citing works
Neural correlates of successful emotion recognition in healthy elderly: a multimodal imaging study
Orlando, I., Ricci, C., Griffanti, L., & Filippini, N. (2023) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsad058 · Cited by 13 · see citing works
“The mid-cingulate area had been previously shown to be functionally connected with the superior parietal lobule (Hoffstaedter et al. , 2014) and, although data in the literature suggest that this brain region is mainly involved in cognitive processes, more recent views have also shown its…”
BackgroundLong, J., Song, X., Wang, Y., Wang, C., Huang, R., & Zhang, R. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.938789 · Cited by 11 · see citing works
“When participants were required to perform a dual task, such as the Stroop task, stronger middle cingulate cortex activation could be observed (Hoffstaedter et al., 2013, 2014; Palomero-Gallagher et al., 2019).”
Garcea, F. E., & Buxbaum, L. J. (2022) · Cortex · doi:10.1016/j.cortex.2023.06.012 · Cited by 11 · see citing works
Motor oscillations reveal new correlates of error processing in the human brain
Yordanova, J., Falkenstein, M., & Kolev, V. (2024) · Scientific Reports · doi:10.1038/s41598-024-56223-x · Cited by 10 · see citing works
Alcohol words elicit reactive cognitive control in low‐sensitivity drinkers
Bailey, K., & Bartholow, B. D. (2016) · Psychophysiology · doi:10.1111/psyp.12741 · Cited by 13 · see citing works
“The N2 is larger on incongruent relative to congruent trials (see Folstein & Van Petten, 2008), reflecting the ACC’s signaling of conflict in the moment, believed to direct motor responses in a goal-consistent manner (Hoffstaedter et al., 2014).”
BackgroundMethod
- 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
- ORCID
- Venue
- Human Brain Mapping
- Publisher
- Wiley
- Published
- 2013-09-24
- Volume
- 35
- Issue
- 6
- Pages
- 2741-2753
- ISSN
- 1065-9471 (ISSN-L)
- 1097-0193
- PMC
- PMC5293144
- 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
- green
- www.ncbi.nlm.nih.gov
- 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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