Functional segregation of the human dorsomedial prefrontal cortex
Open accessAbstract
The human dorsomedial prefrontal cortex (dmPFC) has been implicated in various complex cognitive processes, including social cognition. To unravel its functional organization, we assessed the dmPFC's regional heterogeneity, connectivity patterns, and functional profiles. First, the heterogeneity of a dmPFC seed, engaged during social processing, was investigated by assessing local differences in whole-brain coactivation profiles. Second, functional connectivity of the ensuing dmPFC clusters was compared by task-constrained meta-analytic coactivation mapping and task-unconstrained resting-state correlations. Third, dmPFC clusters were functionally profiled by forward/reverse inference. The dmPFC seed was thus segregated into 4 clusters (rostroventral, rostrodorsal, caudal-right, and caudal-left). Both rostral clusters were connected to the amygdala and hippocampus and associated with memory and social cognitive tasks in functional decoding. The rostroventral cluster exhibited strongest connectivity to the default mode network. Unlike the rostral segregation, the caudal dmPFC was divided by hemispheres. The caudal-right cluster was strongly connected to a frontoparietal network (dorsal attention network), whereas the caudal-left cluster was strongly connected to the anterior midcingulate cortex and bilateral anterior insula (salience network). In conclusion, we demonstrate that a dmPFC seed reflecting social processing can be divided into 4 separate functional modules that contribute to distinct facets of advanced human cognition.
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Dorsomedial PFC supports social cognition, mental state inference, and social judgments as well as performance monitoring.
“in addition to performance monitoring, dorsomedial PFC is involved in social cognition, mental state inference, and social judgments (Eickhoff et al., 2016).”
From Family-based care buffers the stress sensitizing effect of early deprivation on executive functioning difficulties in adolescence (2023) · cites this paper as Eickhoff et al., 2016
The anterior insula and dorsomedial prefrontal cortex have known roles in threat processing and anxiety and are prominent salience-network members; they likely interact with the BNST to express an aversive emotional state during threat anticipation.
“The anterior insula and dorsomedial PFC have known functional roles in threat processing and anxiety responses and are prominent members of the neural salience network (Downar et al, 2002;Eickhoff et al, 2014); these regions likely interact with the BNST to express an aversive emotional state during anticipation of threat”
From The human BNST: functional role in anxiety and addiction (2016) · cites this paper as Eickhoff et al, 2014
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“Please note that no threshold was applied to the ensuing coactivation maps at this point of analysis to retain the complete pattern of coactivation likelihood (cf. Bzdok, Langner, Schilbach, Jakobs, et al. 2013; Cieslik et al. 2013).”
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Macaque monkey retrosplenial cortex: II. Cortical afferents
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Self-citationPerirhinal and parahippocampal cortices of the macaque monkey: Projections to the neocortex
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Lateralized Cognitive Processes and Lateralized Task Control in the Human Brain
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Connectivity-based parcellation of the human orbitofrontal cortex
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Evolution of the human brain: when bigger is better
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Observer-Independent Cytoarchitectonic Mapping of the Human Superior Parietal Cortex
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The human cortex responds to an interoceptive challenge
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Self-citationAnatomical Differences between the Neocortex of Man and Other Primates
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Segregation of the human medial prefrontal cortex in social cognition
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Self-citationThe salience network causally influences default mode network activity during moral reasoning
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Architecture and connections of retrosplenial area 30 in the rhesus monkey (macaca mulatta).
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Social psychology as a natural kind
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Definition and characterization of an extended social-affective default network
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The BrainMap strategy for standardization, sharing, and meta-analysis of neuroimaging data
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Self-citationThe Microstructural Border Between the Motor and the Cognitive Domain in the Human Cerebral Cortex
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Networks of task co-activations
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Varieties of Interhemispheric Inhibition, or How to Keep a Good Hemisphere Down
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Primate Prefrontal Cortex Evolution: Human Brains Are the Extreme of a Lateralized Ape Trend
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Top-down regulation of default mode activity in spatial visual attention
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Self-citationA Lateralized Brain Network for Visuospatial Attention (P02.026)
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Mechanisms of hemispheric specialization: Insights from analyses of connectivity
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Differentiated parietal connectivity of frontal regions for “what” and “where” memory
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Self-citationEffects of aging and axotomy on the expression of neurotrophin receptors in primary sensory neurons
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The Modular Neuroarchitecture of Social Judgments on Faces
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The Scale of Functional Specialization within Human Prefrontal Cortex: Figure 1.
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Crossmodal emotional integration in major depression
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Self-citationNeural Correlates of Explicit Social Judgments on Vocal Stimuli
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Broca's region revisited: Cytoarchitecture and intersubject variability
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Social cognition in schizophrenia
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The default mode network in cognition: a topographical perspective
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“Subparcellation of the dorsomedial prefrontal cortex has further specified that the observed cluster of convergence comprises two smaller contiguous regions, with the left strongly connected to the fronto-parietal network and the right strongly connected to the salience network (23, 43) (see Figure S21 in the online s…”
BackgroundSelf-citationAlves, P. N., Foulon, C., Karolis, V., Bzdok, D., Margulies, D. S., Volle, E., & Thiebaut de Schotten, M. (2019) · Communications Biology · doi:10.1038/s42003-019-0611-3 · Cited by 357 · see citing works
Self-citationThe human BNST: functional role in anxiety and addiction
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Connectivity‐based parcellation: Critique and implications
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“They may not be readily applicable to higher-level associative brain areas [Yeo et al., 2011], such as the dorsomedial prefrontal cortex [cf. Eickhoff et al., 2014].”
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“They also found all emotions associated with activity in the right dorsolateral prefrontal cortex, suggesting it might serve as an emotional processing hub (Eickhoff et al., 2016; Kirby and Robinson, 2017; Robinson et al., 2010).”
Multiple large-scale neural networks underlying emotion regulation
Morawetz, C., Riedel, M. C., Salo, T., Berboth, S., Eickhoff, S. B., Laird, A. R., & Kohn, N. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.07.001 · Cited by 219 · see citing works
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“…2013b; Mars et al., 2012, 2013], but also within several other areas of the social brain, such as the medial prefrontal cortex [Bzdok et al., 2013a; Eickhoff et al., 2016; Neubert et al., 2015; Sallet et al., 2013], posterior medial cortex/precuneus [Bzdok et al., 2015; Margulies et al., 2009],…”
BackgroundLeft inferior parietal lobe engagement in social cognition and language
Bzdok, D., Hartwigsen, G., Reid, A., Laird, A. R., Fox, P. T., & Eickhoff, S. B. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.02.024 · Cited by 180 · see citing works
Self-citationSubspecialization in the human posterior medial cortex
Bzdok, D., Heeger, A., Langner, R., Laird, A. R., Fox, P. T., Palomero‐Gallagher, N., Vogt, B. A., Zilles, K., & Eickhoff, S. B. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.11.009 · Cited by 176 · see citing works
Self-citationDimensions of Experience: Exploring the Heterogeneity of the Wandering Mind
Wang, H.-T., Poerio, G. L., Murphy, C., Bzdok, D., Jefferies, E., & Smallwood, J. (2017) · Psychological Science · doi:10.1177/0956797617728727 · Cited by 153 · see citing works
Self-citationHartwigsen, G., Neef, N. E., Camilleri, J. A., Margulies, D. S., & Eickhoff, S. B. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy049 · Cited by 152 · see citing works
“The choice of the optimal cluster solution was based on a twostep procedure that includes a first decision on the filter sizes and a second decision on the optimal cluster solution (Clos et al. 2013; Bzdok et al. 2015; Eickhoff et al. 2016a).”
MethodSelf-citationSubspecialization within default mode nodes characterized in 10,000 UK Biobank participants
Kernbach, J. M., Yeo, B. T. T., Smallwood, J., Margulies, D. S., de Schotten, M. T., Walter, H., Sabuncu, M. R., Holmes, A. J., Gramfort, A., Varoquaux, G. P., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1804876115 · Cited by 138 · see citing works
“To this end, we capitalized on a recently available DMN atlas with subnode differentiation (13, 17-20).”
MethodSelf-citationThe multifaceted abstract brain
Desai, R. H., Reilly, M., & van Dam, W. O. (2018) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2017.0122 · Cited by 105 · see citing works
“Recent studies have provided evidence that the dmPFC is hierarchically higher and especially important for highly demanding and uniquely human social cognitive tasks [166,167].”
BackgroundDark control: The default mode network as a reinforcement learning agent
Dohmatob, E., Dumas, G., & Bzdok, D. (2020) · Human Brain Mapping · doi:10.1002/hbm.25019 · Cited by 121 · see citing works
Self-citationHuman Pregenual Anterior Cingulate Cortex: Structural, Functional, and Connectional Heterogeneity
Palomero‐Gallagher, N., Hoffstaedter, F., Mohlberg, H., Eickhoff, S. B., Amunts, K., & Zilles, K. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy124 · Cited by 120 · see citing works
Self-citationNeurofunctional topography of the human hippocampus
Robinson, J. L., Barron, D. S., Kirby, L. A. J., Bottenhorn, K. L., Hill, A. C., Murphy, J. E., Katz, J. S., Salibi, N., Eickhoff, S. B., & Fox, P. T. (2015) · Human Brain Mapping · doi:10.1002/hbm.22987 · Cited by 119 · see citing works
Self-citationWang, J., Wei, Q., Wang, L., Zhang, H., Bai, T., Li, C., Tian, Y., & Wang, K. (2017) · Human Brain Mapping · doi:10.1002/hbm.23928 · Cited by 112 · see citing works
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Self-citationDynamic causal brain circuits during working memory and their functional controllability
Cai, W., Ryali, S., Pasumarthy, R., Talasila, V., & Menon, V. (2021) · Nature Communications · doi:10.1038/s41467-021-23509-x · Cited by 105 · see citing works
Anderson, R. J., Hoy, K. E., Daskalakis, Z. J., & Fitzgerald, P. B. (2016) · Clinical Neurophysiology · doi:10.1016/j.clinph.2016.08.015 · Cited by 96 · see citing works
“The DMPFC has demonstrated significant functional segregation into regions that subsume differing high level cognitive functions (Eickhoff et al., 2016), suggesting that a more refined approach to targeting DMPFC rTMS might be possible.”
BackgroundSex differences in effective fronto-limbic connectivity during negative emotion processing
Lungu, O., Potvin, S., Tikàsz, A., & Mendrek, A. (2015) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2015.08.012 · Cited by 96 · see citing works
“As for the mPFC, there is robust evidence showing its critically involvement n social cognition, including theory of mind (Eickhoff et al., 2014).”
Chase, H. W., Clos, M., Dibble, S. M., Fox, P. M., Grace, A. A., Phillips, M. L., & Eickhoff, S. B. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.069 · Cited by 86 · see citing works
“While in practice, networks identified by MACM appear to correspond well to those identified by direct covariance using fMRI, discrepancies have also been noted (cf. Clos et al., 2013; Eickhoff et al., 2014; Jakobs et al., 2012).”
MethodSelf-citationKernbach, J. M., Satterthwaite, T. D., Bassett, D. S., Smallwood, J., Margulies, D., Krall, S., Shaw, P., Varoquaux, G., Thirion, B., Konrad, K., et al. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0179-6 · Cited by 81 · see citing works
Self-citationDakwar, E., Nunes, E. V., Hart, C. L., Hu, M. C., Foltin, R. W., & Levin, F. R. (2018) · Neuropharmacology · doi:10.1016/j.neuropharm.2018.01.005 · Cited by 85 · see citing works
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Prestimulus Theta Oscillations and Connectivity Modulate Pain Perception
Taesler, P., & Rose, M. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.3325-15.2016 · Cited by 81 · see citing works
“The anterior midcingulate cortex is part of the cortical network exhibiting pain responses (Peyron et al., 2000; Chapin et al., 2012), whereas the dorsomedial prefrontal cortex is well connected to the bilateral insula and salience network (Eickhoff et al., 2016).”
BackgroundXu, J., Wang, C., Xu, Z., Li, T., Chen, F., Chen, K., Gao, J., Wang, J., & Hu, Q. (2019) · Autism Research · doi:10.1002/aur.2239 · Cited by 79 · see citing works
Functional parcellation of the default mode network: a large-scale meta-analysis
Wang, S., Tepfer, L. J., Taren, A. A., & Smith, D. V. (2020) · Scientific Reports · doi:10.1038/s41598-020-72317-8 · Cited by 79 · see citing works
Cytoarchitecture and probability maps of the human medial orbitofrontal cortex
Henssen, A. G., Zilles, K., Palomero‐Gallagher, N., Schleicher, A., Mohlberg, H., Gerboga, F., Eickhoff, S. B., Bludau, S., & Amunts, K. (2015) · Cortex · doi:10.1016/j.cortex.2015.11.006 · Cited by 78 · see citing works
Self-citationBetter the devil you know than the devil you don't: Neural processing of risk and ambiguity
Wu, S., Sun, S., Camilleri, J. A., Eickhoff, S. B., & Yu, R. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118109 · Cited by 78 · see citing works
Self-citationWang, S., Zhou, M., Chen, T., Yang, X., Chen, G., Wang, M., & Gong, Q. (2017) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsw145 · Cited by 77 · see citing works
“Because the DMPFC is known as a high associative center in the frontal cortex (Eickhoff et al., 2016), the finding of a relationship between grit and DMPFC spontaneous activity might reflect its role in self-regulation, planning, the pursuit of goals and counterfactual thinking for reasoning about the past failures.”
BackgroundScharnowski, F., Nicholson, A. A., Pichon, S., Rosa, M. J., Rey, G., Eickhoff, S. B., Ville, D. V. D., Vuilleumier, P. O., & Koush, Y. (2020) · Human Brain Mapping · doi:10.1002/hbm.25001 · Cited by 75 · see citing works
Self-citationFritz, H.-C., Ray, N. J., Dyrba, M., Sorg, C., Teipel, S. J., & Grothe, M. J. (2018) · Human Brain Mapping · doi:10.1002/hbm.24417 · Cited by 71 · see citing works
Bottenhorn, K. L., Flannery, J. S., Boeving, E. R., Riedel, M. C., Eickhoff, S. B., Sutherland, M. T., & Laird, A. R. (2018) · Network Neuroscience · doi:10.1162/netn_a_00050 · Cited by 67 · see citing works
Self-citationPfeifer, J. H., & Allen, N. B. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.12.012 · Cited by 68 · see citing works
“This is especially true during adolescence, when developmental processes such as puberty and physical maturation can vary markedly between individuals of the same chronological age – even more so than is typical at other stages of life (Mirwald et al., 2002; Ellis, 2004).”
BackgroundA dorsomedial prefrontal cortex-based dynamic functional connectivity model of rumination
Kim, J., Andrews‐Hanna, J. R., Eisenbarth, H., Lux, B. K., Kim, H. J., Lee, E., Lindquist, M. A., Losin, E. A. R., Wager, T. D., & Woo, C. (2023) · Nature Communications · doi:10.1038/s41467-023-39142-9 · Cited by 67 · see citing works
“In addition, the right ITG and the left cerebellar crus I were within one of the functional connectivity-based clusters identi fi ed by Eickhoff et al. 58 , who divided the functional network of the dmPFC into four clusters.”
Kujawa, A., Klein, D. N., Pegg, S. L., & Weinberg, A. (2020) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100791 · Cited by 61 · see citing works
Muhle-Karbe, P. S., Derrfuß, J., Lynn, M. T., Neubert, F. X., Fox, P. T., Braß, M., & Eickhoff, S. B. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv073 · Cited by 60 · see citing works
Self-citationIs the voice an auditory face? An ALE meta-analysis comparing vocal and facial emotion processing
Schirmer, A. (2017) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsx142 · Cited by 62 · see citing works
“In line with this, a meta-analysis looking at the anatomical and functional parcellation of dmPFC linked this brain region with a range of both emotional and cognitive processes implying a role in effortful, top-down control (Eickhoff et al., 2016a).”
BackgroundMethodResultInfluentialLerman, I. R., Davis, B. A., Huang, M., Huang, C. W., Sorkin, L. S., Proudfoot, J. A., Zhong, E., Kimball, D. F., Rao, R., Simon, B. J., et al. (2019) · PLoS ONE · doi:10.1371/journal.pone.0201212 · Cited by 62 · see citing works
“Prior clinical work has also demonstrated involvement of the prefrontal and frontal cortical regions in reflecting the emotional, cognitive, and interoceptive components of pain conditions, negative emotions, response conflicts, decision-making, and appraisal of unfavorable personal outcomes [97, 98].”
BackgroundRadel, R., Brisswalter, J., & Perrey, S. (2016) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-016-0480-x · Cited by 56 · see citing works
Fiber length profiling: a novel approach to structural brain organization
Bajada, C. J., Schreiber, J., & Caspers, S. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.070 · Cited by 55 · see citing works
“, 2015) alongside ideas from network science (Sporns, 2013), and approaches them from the perspective of brain mapping (Eickhoff et al., 2016).”
Recovered grasping performance after stroke depends on interhemispheric frontoparietal connectivity
Hensel, L., Lange, F., Tscherpel, C., Viswanathan, S., Freytag, J., Volz, L. J., Eickhoff, S. B., Fink, G. R., & Grefkes, C. (2022) · Brain · doi:10.1093/brain/awac157 · Cited by 53 · see citing works
“count for residual anatomical variations, consistent with our previous resting-state analyses.(57,58) Within-scanner movements were corrected via regression of 24 movement parameters including the six motion parameters derived from the image realignment and their first derivative from the realignment as first and seco…”
MethodSelf-citationChao, T.-H. H., Lee, B., Hsu, L.-M., Cerri, D. H., Zhang, W.-T., Wang, T.-W. W., Ryali, S., Menon, V., & Shih, Y.-Y. I. (2023) · Science Advances · doi:10.1126/sciadv.ade5732 · Cited by 49 · see citing works
Meta-connectomics: human brain network and connectivity meta-analyses
Crossley, N. A., Fox, P. T., & Bullmore, E. T. (2016) · Psychological Medicine · doi:10.1017/s0033291715002895 · Cited by 51 · see citing works
Self-citationBai, T., Wei, Q., Zu, M., Xie, W., Wang, J., Ji, G., Yu, F., Tian, Y., & Wang, K. (2018) · Human Brain Mapping · doi:10.1002/hbm.24387 · Cited by 49 · see citing works
Caminiti, S. P., Canessa, N., Cerami, C., Dodich, A., Crespi, C., Iannaccone, S., Marcone, A., Falini, A., & Cappa, S. F. (2015) · NeuroImage Clinical · doi:10.1016/j.nicl.2015.08.012 · Cited by 50 · see citing works
“Recentmeta-analytic evidence confirmed the role of this brain region as a critical hub for the perception of complex social stimuli (Eickhoff et al., 2014), including affective stimuli generating empathic responses (Fan et al.”
Osada, T., Suzuki, R., Ogawa, A., Tanaka, M., Hori, M., Aoki, S., Tamura, Y., Watada, H., Kawamori, R., & Konishi, S. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.08.056 · Cited by 48 · see citing works
“…Li, 2012; Zhang et al., 2012; Bzdok et al., 2013, 2015; Onoda and Yamaguchi, 2013; Shen et al., 2013; Long et al., 2014; Wig et al., 2014a, 2014b; Eickhoff et al., 2015, 2016; Finn et al., 2015; Hutchison et al., 2015; Laumann et al., 2015; Poldrack et al., 2015; Wang et al., 2015; Glasser et…”
Anhedonia in Trauma-Exposed Individuals: Functional Connectivity and Decision-Making Correlates
Olson, E. A., Kaiser, R. H., Pizzagalli, D. A., Rauch, S. L., & Rosso, I. M. (2017) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2017.10.008 · Cited by 49 · see citing works
“(B) Dorsomedial prefrontal cortex cluster (red) overlaid on dorsomedial prefrontal cortex subregions: light blue, rostrodorsal; yellow, rostroventral; green, caudal left; dark blue, caudal right (72).”
InfluentialInvestigating the Neural Correlates of Emotion–Cognition Interaction Using an Affective Stroop Task
Raschle, N. M., Fehlbaum, L. V., Menks, W. M., Euler, F., Sterzer, P., & Stadler, C. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01489 · Cited by 44 · see citing works
“…studies, a functional and cytoarchitectonical subdivision of the medial prefrontal cortex may at least result in areas including the orbitofrontal cortex (BA11), ventral prefrontal cortex and prefrontal pole (BA10), and dorsomedial prefrontal cortex and frontal pole (BA9; Eickhoff et al., 2016).”
BackgroundInfluentialCortese, S., Castellanos, F. X., Eickhoff, C. R., D’Acunto, G., Masi, G., Fox, P. T., Laird, A. R., & Eickhoff, S. B. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2016.06.014 · Cited by 43 · see citing works
Self-citationViewing socio-affective stimuli increases connectivity within an extended default mode network
Göttlich, M., Ye, Z., Rodríguez‐Fornells, A., Münte, T. F., & Krämer, U. M. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.12.044 · Cited by 41 · see citing works
Sudre, G. P., Frederick, J., Sharp, W. S., Ishii‐Takahashi, A., Mangalmurti, A., Choudhury, S., & Shaw, P. (2019) · Molecular Psychiatry · doi:10.1038/s41380-019-0350-3 · Cited by 42 · see citing works
Riedel, P., Heil, M., Bender, S., Dippel, G., Korb, F. M., Smolka, M. N., & Marxen, M. (2019) · Human Brain Mapping · doi:10.1002/hbm.24703 · Cited by 40 · see citing works
Lefort‐Besnard, J., Bassett, D. S., Smallwood, J., Margulies, D. S., Derntl, B., Gruber, O., Aleman, A., Jardri, R., Varoquaux, G. P., Thirion, B., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23870 · Cited by 40 · see citing works
“Based on coherent whole-brain coupling profiles, the DMPFC was decomposed into two caudal and two rostral subnodes (Eickhoff et al., 2016).”
BackgroundMethodInfluentialSelf-citationSteffens, D. C., Wang, L., Manning, K. J., & Pearlson, G. D. (2017) · The American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2017.03.017 · Cited by 40 · see citing works
Guiding the Emotion in Emotional Memories: The Role of the Dorsomedial Prefrontal Cortex
Kensinger, E. A., & Ford, J. H. (2021) · Current Directions in Psychological Science · doi:10.1177/0963721421990081 · Cited by 42 · see citing works
Large-scale Meta-analysis Suggests Low Regional Modularity in Lateral Frontal Cortex
de la Vega, A. I., Yarkoni, T., Wager, T. D., & Banich, M. T. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx204 · Cited by 40 · see citing works
Marques, R. C., Vieira, L., Marques, D., & Cantilino, A. (2019) · Brazilian Journal of Psychiatry · doi:10.1590/1516-4446-2019-0344 · Cited by 38 · see citing works
Altered Communicative Decisions following Ventromedial Prefrontal Lesions
Stolk, A., D’Imperio, D., di Pellegrino, G., & Toni, I. (2015) · Current Biology · doi:10.1016/j.cub.2015.03.057 · Cited by 38 · see citing works
“The cortex corresponding to the lesion site reported here has also been labeled as rostroventral dorsomedial PFC [51].”
Group-wise parcellation of the cortex through multi-scale spectral clustering
Parisot, S., Arslan, S., Passerat‐Palmbach, J., Wells, W. M., & Rueckert, D. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.05.035 · Cited by 37 · see citing works
“A uthor M anuscript A uthor M anuscript A uthor M anuscript A uthor M anuscript has notably been used several times for evaluation of brain parcellations (Craddock et al., 2012; Eickhoff et al., 2014).”
BackgroundMethodMoessnang, C., Otto, K., Bilek, E., Schäfer, A., Baumeister, S., Hohmann, S., Poustka, L., Brandeis, D., Banaschewski, T., Tost, H., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23626 · Cited by 38 · see citing works
“…temporal poles have also been shown to be functionally connected to the dmPFC and pSTS during rest [Andrews-Hanna et al., 2010; Deen et al., 2015; Eickhoff et al., 2016; Pascual et al., 2015] and have been suggested to represent a multimodal integration hub for socioaffective semantics (e.g.,…”
BackgroundMethodInfluentialCo-activation based parcellation of the human frontal pole
Ray, K. L., Zald, D. H., Bludau, S., Riedel, M. C., Bzdok, D., Yanes, J. A., Falcone, K. E., Amunts, K., Fox, P. T., Eickhoff, S. B., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.07.072 · Cited by 35 · see citing works
“…properties of the various solutions to identify the most stable range of inclusionfilter sizes, and then determined the optimal number ofK clusters based on a series of metrics (Bzdok et al., 2013, 2015; Clos et al., 2013; Eickhoff et al., 2014; Muhle-Karbe et al., 2014; EIckhoff et al., in press).”
Self-citationWang, M., Zhang, S., Suo, T., Mao, T., Wang, F., Deng, Y., Eickhoff, S. B., Pan, Y., Jiang, C., & Rao, H. (2022) · Human Brain Mapping · doi:10.1002/hbm.26041 · Cited by 36 · see citing works
Self-citationThe default network dominates neural responses to evolving movie stories
Yang, E., Milisav, F., Kopál, J., Holmes, A. J., Mitsis, G. D., Mišić, B., Finn, E. S., & Bzdok, D. (2023) · Nature Communications · doi:10.1038/s41467-023-39862-y · Cited by 40 · see citing works
“To clarify the de fi nition of semantics, the word “ semantic ” has been used incongruently in different fi elds, including semantic memory, semantic processing, and linguistics 46 – 50 .”
MethodSelf-citationA Functional Neuroimaging Meta-Analysis of Self-Related Processing in Schizophrenia
Potvin, S., Gamache, L., & Lungu, O. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2019.00990 · Cited by 35 · see citing works
Neuroimaging of Female Sexual Desire and Hypoactive Sexual Desire Disorder
Cacioppo, S. (2017) · Sexual Medicine Reviews · doi:10.1016/j.sxmr.2017.07.006 · Cited by 35 · see citing works
Bradshaw, S. D., Shumway, S. T., & Kimball, T. G. (2021) · Emerging issues in family and individual resilience · doi:10.1007/978-3-030-56958-7_8 · Cited by 34 · see citing works
Fareri, D. S., Smith, D. V., & Delgado, M. R. (2020) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaa031 · Cited by 35 · see citing works
Phillips, G. R., Saville, J. T., Hancock, S. E., Brown, S. H. J., Jenner, A. M., McLean, C., Fuller, M., Newell, K. A., & Mitchell, T. W. (2021) · Brain Communications · doi:10.1093/braincomms/fcab303 · Cited by 34 · see citing works
Potvin, S., Tikàsz, A., & Mendrek, A. (2016) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2016.00115 · Cited by 34 · see citing works
“The study found that treatment-resistant schizophrenia patients have hyper-activations in the dorso-medial prefrontal cortex, a region involved in several higher social cognitive processes (57), compared to a control group of schizophrenia patients and to a group of healthy volunteers.”
ResultMapping Dorsal and Ventral Caudate in Older Adults: Method and Validation
Huang, H., Nguyen, P., Schwab, N. A., Tanner, J. J., Price, C. C., & Ding, M. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00091 · Cited by 34 · see citing works
“, 2015) or by comparing it to task fMRI activation (Deen et al., 2011; Chang et al., 2013; Eickhoff et al., 2016).”
BackgroundInfluentialAltered Functional Connectivity in Resting State Networks in Tourette’s Disorder
Fan, S., van den Heuvel, O. A., Cath, D. C., de Wit, S. J., Vriend, C., Veltman, D. J., & van der Werf, Y. D. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00363 · Cited by 34 · see citing works
Luo, Q., & Shao, R. (2023) · Psychoradiology · doi:10.1093/psyrad/kkad029 · Cited by 32 · see citing works
Neuroaging through the Lens of the Resting State Networks
Cieri, F., & Esposito, R. (2018) · BioMed Research International · doi:10.1155/2018/5080981 · Cited by 30 · see citing works
“This region has been implicated not only in LLD, but more in general in the development of anxiety and depression disorders [77, 78].”
BackgroundMcKinnon, A. C., Lagopoulos, J., Terpening, Z., Grunstein, R. R., Hickie, I. B., Batchelor, J., Lewis, S. J. G., Duffy, S. L., Shine, J. M., & Naismith, S. L. (2016) · Behavioral Neuroscience · doi:10.1037/bne0000137 · Cited by 30 · see citing works
Abnormal effective fronto-limbic connectivity during emotion processing in schizophrenia
Potvin, S., Lungu, O., Tikàsz, A., & Mendrek, A. (2016) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2016.08.004 · Cited by 30 · see citing works
“Another consideration is that the dmPFC is a hub of the social cognitive network and that it plays a key role in theory of mind and self-reflection (Eickhoff et al., 2016).”
Flannery, J. S., Riedel, M. C., Bottenhorn, K. L., Poudel, R., Salo, T., Hill-Bowen, L. D., Laird, A. R., & Sutherland, M. T. (2019) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-019-00763-7 · Cited by 25 · see citing works
“…in synthesizing neuroimaging findings across disperse experimental sites and diverse scientific approaches (Bottenhorn et al., 2019; Bzdok et al., 2015; Bzdok et al., 2013a; Bzdok et al., 2013b; Clos et al., 2013; Eickhoff et al., 2016; Laird et al., 2015; Ray et al., 2015; Riedel et al., 2018).”
InfluentialSelf-citationStriatal subdivisions that coherently interact with multiple cerebrocortical networks
Ogawa, A., Osada, T., Tanaka, M., Hori, M., Aoki, S., Nikolaidis, A., Milham, M. P., & Konishi, S. (2018) · Human Brain Mapping · doi:10.1002/hbm.24275 · Cited by 25 · see citing works
Shao, R., Gao, M., Lin, C., Huang, C., Liu, H., Toh, C., Wu, C. W., Tsai, Y., Qi, D., Lee, S., et al. (2021) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2021.11.011 · Cited by 24 · see citing works
“More specifically, based on the role of these regions in social cognition, episodic memory, and automatic attention (57,58), their structural deficiency may lead to reduced responsiveness to other people’s concern (8), failure to recall positive autobiographic memory (59), and a tendency to attend to death and suicide…”
BackgroundFunctional Connectivity Changes of Key Regions for Motor Initiation in Parkinson’s Disease
Hensel, L., Hoffstaedter, F., Caspers, J., Michely, J., Mathys, C., Heller, J., Eickhoff, C. R., Reetz, K., Südmeyer, M., Fink, G. R., et al. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy259 · Cited by 23 · see citing works
“Besides testing for altered connectivity in Parkinson’s disease, we probed co-variation between akinesiascores and every ROI’s RSFC.”
MethodInfluentialSelf-citationLiao, J., Li, T., Dong, W., Wang, J., Tian, J., Liu, J., Quan, W., & Yan, J. (2018) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2018.11.006 · Cited by 22 · see citing works
Potvin, S., Tikàsz, A., Lungu, O., Dumais, A., Stip, É., & Mendrek, A. (2015) · Schizophrenia Research · doi:10.1016/j.schres.2015.07.046 · Cited by 21 · see citing works
“theory of mind), emotion regulation and action selection (Coutlee and Huettel, 2012; Eickhoff et al., 2014; Frank et al., 2014).”
BackgroundPrefrontal seizure classification based on stereo-EEG quantification and automatic clustering
Machado, S., Bonini, F., McGonigal, A., Singh, R., Carron, R., Scavarda, D., Lagarde, S., Trébuchon, A., Giusiano, B., & Bartoloméi, F. (2020) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2020.107436 · Cited by 21 · see citing works
Viviano, R. P., & Damoiseaux, J. (2021) · Alzheimer's Research & Therapy · doi:10.1186/s13195-021-00847-y · Cited by 19 · see citing works
“Though dorsomedial prefrontal cortex serves many functions and disrupted hippocampal communication to this region could affect many processes, decreased coherence between these regions could reflect disruption in long-term memory processing and social cognitive functioning as medial temporal connectivity to rostral se…”
BackgroundPrefrontal neural dynamics in consciousness
León-Domínguez, U., & León‐Carrión, J. (2019) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2019.05.018 · Cited by 22 · see citing works
Fujimoto, U., Ogawa, A., Osada, T., Tanaka, M., Suda, A., Hattori, N., Kamagata, K., Aoki, S., & Konishi, S. (2020) · Neuroscience · doi:10.1016/j.neuroscience.2020.03.010 · Cited by 20 · see citing works
Ogawa, A., Osada, T., Tanaka, M., Kamagata, K., Aoki, S., & Konishi, S. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117205 · Cited by 19 · see citing works
Functional connectivity based parcellation of early visual cortices
Park, B., Tark, K., Shim, W. M., & Park, H. (2017) · Human Brain Mapping · doi:10.1002/hbm.23926 · Cited by 19 · see citing works
“SC ranges from 21 to 11, and k can be determined if it leads to SC values close to11 (Bzdok et al., 2015; Craddock et al., 2012; Eickhoff et al., 2016; Kannan et al., 2010).”
BackgroundMRI-based visualization of rTMS-induced cortical plasticity in the primary motor cortex
Tamura, K., Osada, T., Ogawa, A., Tanaka, M., Suda, A., Shimo, Y., Hattori, N., Kamagata, K., Hori, M., Aoki, S., et al. (2019) · PLoS ONE · doi:10.1371/journal.pone.0224175 · Cited by 17 · see citing works
Sato, J. R., Biazoli, C. E., Salum, G. A., Gadelha, A., Crossley, N. A., Vieira, G., Zugman, A., Picon, F. A., Pan, P. M., Hoexter, M. Q., et al. (2017) · The World Journal of Biological Psychiatry · doi:10.1080/15622975.2016.1274050 · Cited by 16 · see citing works
“Despite recent studies demonstrating that the concepts of task-positive and -negative networks are an oversimplification in terms of brain functioning (Eickhoff et al. 2016; Bzdok et al. 2015), we will adopt this terminology only for descriptive purposes of the regions involved.”
BackgroundZielinski, M., Bradshaw, S. D., Mullet, N. D., Hawkins, L. G., Shumway, S. T., & Chavez, M. S. (2019) · American Journal on Addictions · doi:10.1111/ajad.12905 · Cited by 15 · see citing works
Gao, M., Shao, R., Huang, C., Liu, H., Chen, Y.-L., Lee, S., Lin, C., & Lee, T. M. C. (2020) · Behavioural Brain Research · doi:10.1016/j.bbr.2020.112776 · Cited by 15 · see citing works
Meta-analytical transdiagnostic neural correlates in common pediatric psychiatric disorders
Dugre, J. R., Eickhoff, S. B., & Potvin, S. (2022) · Scientific Reports · doi:10.1038/s41598-022-08909-3 · Cited by 14 · see citing works
Self-citationDeep learning identifies partially overlapping subnetworks in the human social brain
Kiesow, H., Spreng, R. N., Holmes, A. J., Chakravarty, M. M., Marquand, A. F., Yeo, B. T. T., & Bzdok, D. (2021) · Communications Biology · doi:10.1038/s42003-020-01559-z · Cited by 15 · see citing works
Self-citationMethods for decoding cortical gradients of functional connectivity
Peraza, J. A., Salo, T., Riedel, M. C., Bottenhorn, K. L., Poline, J., Dockès, J., Kent, J. D., Bartley, J. E., Flannery, J. S., Hill-Bowen, L. D., et al. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00081 · Cited by 13 · see citing works
Self-citationComparative Analysis of Sequence Clustering Methods for Deduplication of Biological Databases
Chen, Q., Wan, Y., Zhang, X., Lei, Y., Zobel, J., & Verspoor, K. M. (2017) · Journal of Data and Information Quality · doi:10.1145/3131611 · Cited by 13 · see citing works
“They are widely used in general clustering validations [35, 93] and also in other biological tasks using clustering techniques, such as identification of shared regions in gene expression [36] and analysis of function heterogeneity [28].”
BackgroundMethodMeningeal neutrophil immune signaling influences behavioral adaptation following threat
Wu, B., Meng, L., Zhao, Y., Li, J., Tian, Q., Pang, Y., Ren, C., & Dong, Z. (2024) · Neuron · doi:10.1016/j.neuron.2024.10.018 · Cited by 12 · see citing works
- Authors
- Eickhoff, S. B., Laird, A. R., Fox, P. T., Bzdok, D., & Hensel, L.
- Affiliations
- Forschungszentrum Jülich (DE)
- Florida International University (US)
- The University of Texas at San Antonio Health Science Center (US)
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2014-10-20
- Volume
- 26
- Issue
- 1
- Pages
- 304-321
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- PMC
- PMC4677979
- OpenAlex
- W2077842462
- Cited by
- 159
- References
- 156
- Citations by year
- 2026: 9 · 2025: 12 · 2024: 7 · 2023: 5 · 2022: 9 · 2021: 13 · 2020: 16 · 2019: 20 · 2018: 18 · 2017: 20 · 2016: 12 · 2015: 17 · 2014: 1
- FWCI
- 1.61
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Cerebral Cortex (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- JuSER (Forschungszentrum Jülich) (submittedVersion)
- RWTH Publications (RWTH Aachen) (submittedVersion)
- Funders
- Deutsche Forschungsgemeinschaft (, EI 816/6-1, 816/4-1, DFG, EI 816/4–1, 3071/3-1, EI 816/4–1)
- Studienstiftung des Deutschen Volkes
- National Institute of Mental Health (R01MH074457, EI 816/6-, MH074457)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- dorsomedial prefrontal cortex, functional segregation, regional heterogeneity, social cognition, functional connectivity, default mode network, dorsal attention network, salience network, amygdala, hippocampus, memory, hemispheric lateralization
- MeSH terms
- Attention, Brain Mapping, Cerebral Cortex, Cognition, Humans, Magnetic Resonance Imaging, Memory, Nerve Net, Neural Pathways, Rest, Social Behavior, Prefrontal Cortex
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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