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Functional Segregation of the Human Dorsomedial Prefrontal Cortex
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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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“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
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“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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Self-citationNeurofunctional topography of the human hippocampus
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“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.”
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“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).”
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InfluentialInvestigating the Neural Correlates of Emotion–Cognition Interaction Using an Affective Stroop Task
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Self-citationViewing socio-affective stimuli increases connectivity within an extended default mode network
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“Based on coherent whole-brain coupling profiles, the DMPFC was decomposed into two caudal and two rostral subnodes (Eickhoff et al., 2016).”
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Guiding the Emotion in Emotional Memories: The Role of the Dorsomedial Prefrontal Cortex
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Large-scale Meta-analysis Suggests Low Regional Modularity in Lateral Frontal Cortex
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Altered Communicative Decisions following Ventromedial Prefrontal Lesions
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“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
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“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
“…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
“…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 38
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 42
“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 34
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 36
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 35
Fareri, D. S., Smith, D. V., & Delgado, M. R. (2020) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaa031 · Cited by 36
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
Potvin, S., Tikàsz, A., & Mendrek, A. (2016) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2016.00115 · Cited by 34
“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 35
“, 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 35
Luo, Q., & Shao, R. (2023) · Psychoradiology · doi:10.1093/psyrad/kkad029 · Cited by 34
Neuroaging through the Lens of the Resting State Networks
Cieri, F., & Esposito, R. (2018) · BioMed Research International · doi:10.1155/2018/5080981 · Cited by 32
“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
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
“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 26
“…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 24
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
“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 24
“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
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
“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
Viviano, R. P., & Damoiseaux, J. S. (2021) · Alzheimer s Research & Therapy · doi:10.1186/s13195-021-00847-y · Cited by 21
“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 23
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 21
Ogawa, A., Osada, T., Tanaka, M., Kamagata, K., Aoki, S., & Konishi, S. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117205 · Cited by 19
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
“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
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 18
“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
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 16
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 15
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
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 15
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
“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
Metadata
- 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
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