Social and emotional learning in the cerebellum.

Frith, C. D. & Frith, U. The neural basis of mentalizing. Neuron 50, 531–534 (2006).

pubmed: 16701204 doi: 10.1016/j.neuron.2006.05.001

Frith, C. D. & Frith, U. Interacting minds — a biological basis. Science 286, 1692–1695 (1999).

pubmed: 10576727 doi: 10.1126/science.286.5445.1692

Keysers, C. & Gazzola, V. Towards a unifying neural theory of social cognition. Prog. Brain Res. 156, 379–401 (2006).

pubmed: 17015092 doi: 10.1016/S0079-6123(06)56021-2

Ekman, P. & Friesen, W. V. Constants across cultures in the face and emotion. J. Pers. Soc. Psychol. 17, 124–129 (1971).

pubmed: 5542557 doi: 10.1037/h0030377

Schilbach, L., Eickhoff, S. B., Rotarska-Jagiela, A., Fink, G. R. & Vogeley, K. Minds at rest? Social cognition as the default mode of cognizing and its putative relationship to the ‘default system’ of the brain. Conscious. Cogn. 17, 457–467 (2008).

pubmed: 18434197 doi: 10.1016/j.concog.2008.03.013

Meyer, M. L., Davachi, L., Ochsner, K. N. & Lieberman, M. D. Evidence that default network connectivity during rest consolidates social information. Cereb. Cortex 29, 1910–1920 (2019).

pubmed: 29668862 doi: 10.1093/cercor/bhy071

Andrews-Hanna, J. R., Saxe, R. & Yarkoni, T. Contributions of episodic retrieval and mentalizing to autobiographical thought: evidence from functional neuroimaging, resting-state connectivity, and fMRI meta-analyses. Neuroimage 91, 324–335 (2014).

pubmed: 24486981 doi: 10.1016/j.neuroimage.2014.01.032

Andrews-Hanna, J. R., Reidler, J. S., Sepulcre, J., Poulin, R. & Buckner, R. L. Functional — anatomic fractionation of the brain’s default network. Neuron 65, 550–562 (2010).

pubmed: 20188659 pmcid: 2848443 doi: 10.1016/j.neuron.2010.02.005

Schurz, M., Radua, J., Aichhorn, M., Richlan, F. & Perner, J. Fractionating theory of mind: a meta-analysis of functional brain imaging studies. Neurosci. Biobehav. Rev. 42, 9–34 (2014). Perhaps the most important meta-analysis on social mentalizing in the last decade.

pubmed: 24486722 doi: 10.1016/j.neubiorev.2014.01.009

Schurz, M. et al. Toward a hierarchical model of social cognition: a neuroimaging meta-analysis and integrative review of empathy and theory of mind. Psychol. Bull. 147, 293–327 (2021). A meta-analysis on the common and distinct neocortical functions of social cognitive and emotional mentalizing.

pubmed: 33151703 doi: 10.1037/bul0000303

Van Overwalle, F. Social cognition and the brain: a meta-analysis. Hum. Brain Mapp. 30, 829–858 (2009).

pubmed: 18381770 doi: 10.1002/hbm.20547

Arioli, M., Cattaneo, Z., Ricciardi, E. & Canessa, N. Overlapping and specific neural correlates for empathizing, affective mentalizing, and cognitive mentalizing: a coordinate-based meta-analytic study. Hum. Brain Mapp. 42, 4777–4804 (2021). A meta-analysis on the common and distinct neocortical functions of social cognitive and emotional mentalizing.

pubmed: 34322943 pmcid: 8410528 doi: 10.1002/hbm.25570

Lindquist, K. A. & Barrett, L. F. A functional architecture of the human brain: emerging insights from the science of emotion. Trends Cogn. Sci. 16, 533–540 (2012).

pubmed: 23036719 pmcid: 3482298 doi: 10.1016/j.tics.2012.09.005

Satpute, A. B. & Lindquist, K. A. The default mode network’s role in discrete emotion. Trends Cogn. Sci. 23, 851–864 (2019).

pubmed: 31427147 pmcid: 7281778 doi: 10.1016/j.tics.2019.07.003

Van Overwalle, F. & Baetens, K. Understanding others’ actions and goals by mirror and mentalizing systems: a meta-analysis. Neuroimage 48, 564–584 (2009).

pubmed: 19524046 doi: 10.1016/j.neuroimage.2009.06.009

Molenberghs, P., Cunnington, R. & Mattingley, J. B. Brain regions with mirror properties: a meta-analysis of 125 human fMRI studies. Neurosci. Biobehav. Rev. 36, 341–349 (2012).

pubmed: 21782846 doi: 10.1016/j.neubiorev.2011.07.004

Hardwick, R. M., Caspers, S., Eickhoff, S. B. & Swinnen, S. P. Neural correlates of action: comparing meta-analyses of imagery, observation, and execution. Neurosci. Biobehav. Rev. 94, 31–44 (2018).

pubmed: 30098990 doi: 10.1016/j.neubiorev.2018.08.003

Keysers, C. & Perrett, D. I. Demystifying social cognition: a Hebbian perspective. Trends Cogn. Sci. 8, 501–507 (2004).

pubmed: 15491904 doi: 10.1016/j.tics.2004.09.005

Schmahmann, J. D., Guell, X., Stoodley, C. J. & Halko, M. A. The theory and neuroscience of cerebellar cognition. Annu. Rev. Neurosci. 42, 337–364 (2019). A review of current research on the cerebellum and its clinical implications.

pubmed: 30939101 doi: 10.1146/annurev-neuro-070918-050258

Stoodley, C. C. & Schmahmann, J. D. Functional topography in the human cerebellum: a meta-analysis of neuroimaging studies. Neuroimage 44, 489–501 (2009). To my knowledge, the first meta-analysis on mental functions of the cerebellum; note the absence of social functionality.

pubmed: 18835452 doi: 10.1016/j.neuroimage.2008.08.039

Schmahmann, J. D. From movement to thought: anatomic substrates of the cerebellar contribution to cognitive processing. Hum. Brain Mapp. 4, 174–198 (1996).

pubmed: 20408197 doi: 10.1002/(SICI)1097-0193(1996)4:3<174::AID-HBM3>3.0.CO;2-0

Rudolph, S. et al. Cognitive–affective functions of the cerebellum. J. Neurosci. 43, 7554–7564 (2023).

pubmed: 37940582 pmcid: 10634583 doi: 10.1523/JNEUROSCI.1451-23.2023

Van Overwalle, F., Baetens, K., Mariën, P. & Vandekerckhove, M. Social cognition and the cerebellum: a meta-analysis of over 350 fMRI studies. Neuroimage 86, 554–572 (2014). A seminal paper on a meta-analysis of social cognition in the cerebellum.

pubmed: 24076206 doi: 10.1016/j.neuroimage.2013.09.033

Van Overwalle, F., Baetens, K., Mariën, P. & Vandekerckhove, M. Cerebellar areas dedicated to social cognition? A comparison of meta-analytic and connectivity results. Soc. Neurosci. 10, 337–344 (2015). An updated interpretation in terms of Buckner’s networks of the original 2014 meta-analysis as ref. 23 from the same authors.

pubmed: 25621820

Van Overwalle, F., Ma, Q. & Heleven, E. The posterior Crus II cerebellum is specialized for social mentalizing and emotional self-experiences: a meta-analysis. Soc. Cogn. Affect. Neurosci. 15, 905–928 (2020).

pubmed: 32888303 pmcid: 7851889 doi: 10.1093/scan/nsaa124

Van Overwalle, F. & Mariën, P. Functional connectivity between the cerebrum and cerebellum in social cognition: a multi-study analysis. Neuroimage 124, 248–255 (2016).

pubmed: 26348560 doi: 10.1016/j.neuroimage.2015.09.001

Van Overwalle, F. et al. Consensus paper: cerebellum and social cognition. Cerebellum 19, 833–868 (2020).

pubmed: 32632709 pmcid: 7588399 doi: 10.1007/s12311-020-01155-1

Kelly, R. M. & Strick, P. L. Cerebellar loops with motor cortex and prefrontal cortex of a nonhuman primate. J. Neurosci. 23, 8432–8444 (2003).

pubmed: 12968006 pmcid: 6740694 doi: 10.1523/JNEUROSCI.23-23-08432.2003

Granziera, C. et al. Diffusion spectrum imaging shows the structural basis of functional cerebellar circuits in the human cerebellum in vivo. PLoS ONE 4, e5101 (2009).

pubmed: 19340289 pmcid: 2659746 doi: 10.1371/journal.pone.0005101

van der Heijden, M. E. Converging and diverging cerebellar pathways for motor and social behaviors in mice. Cerebellum https://doi.org/10.1007/s12311-024-01706-w (2024).

Strick, P. L., Dum, R. P. & Fiez, J. A. Cerebellum and nonmotor function. Annu. Rev. Neurosci. 32, 413–434 (2009).

pubmed: 19555291 doi: 10.1146/annurev.neuro.31.060407.125606

Biswas, M. S., Luo, Y., Sarpong, G. A. & Sugihara, I. Divergent projections of single pontocerebellar axons to multiple cerebellar lobules in the mouse. J. Comp. Neurol. 527, 1966–1985 (2019).

pubmed: 30737986 doi: 10.1002/cne.24662

Na, J., Sugihara, I. & Shinoda, Y. The entire trajectories of single pontocerebellar axons and their lobular and longitudinal terminal distribution patterns in multiple aldolase C-positive compartments of the rat cerebellar cortex. J. Comp. Neurol. 527, 2488–2511 (2019).

pubmed: 30887503 doi: 10.1002/cne.24685

Zhu, J., Hasanbegović, H., Liu, L. D., Gao, Z. & Li, N. Activity map of a cortico-cerebellar loop underlying motor planning. Nat. Neurosci. 26, 1916–1928 (2023).

pubmed: 37814026 pmcid: 10620095 doi: 10.1038/s41593-023-01453-x

Wagner, M. J. et al. Shared cortex–cerebellum dynamics in the execution and learning of a motor task. Cell 177, 669–682.e24 (2019).

pubmed: 30929904 pmcid: 6500577 doi: 10.1016/j.cell.2019.02.019

Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C. & Yeo, B. T. T. The organization of the human cerebellum estimated by intrinsic functional connectivity. J. Neurophysiol. 106, 2322–2345 (2011). A classic study on a functional atlas of the cerebellum.

pubmed: 21795627 pmcid: 3214121 doi: 10.1152/jn.00339.2011

Ji, J. L. et al. Mapping the human brain’s cortical–subcortical functional network organization. Neuroimage 185, 35–57 (2019).

pubmed: 30291974 doi: 10.1016/j.neuroimage.2018.10.006

Van Overwalle, F. et al. A functional atlas of the cerebellum based on NeuroSynth task coordinates. Cerebellum 23, 993–1012 (2023).

pubmed: 37608227 pmcid: 11102394 doi: 10.1007/s12311-023-01596-4

Salamon, N. et al. White matter fiber tractography and color mapping of the normal human cerebellum with diffusion tensor imaging. J. Neuroradiol. 34, 115–128 (2007).

pubmed: 17481730 doi: 10.1016/j.neurad.2007.03.002

Yeo, B. T. T. et al. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J. Neurophysiol. 106, 1125–1165 (2011).

pubmed: 21653723 doi: 10.1152/jn.00338.2011

King, M., Hernandez-Castillo, C. R., Poldrack, R. A., Ivry, R. B. & Diedrichsen, J. Functional boundaries in the human cerebellum revealed by a multi-domain task battery. Nat. Neurosci. 22, 1371–1378 (2019).

pubmed: 31285616 pmcid: 8312478 doi: 10.1038/s41593-019-0436-x

Nettekoven, C. et al. A hierarchical atlas of the human cerebellum for functional precision mapping. Nat. Commun. 15, 8376 (2024).

pubmed: 39333089 pmcid: 11436828 doi: 10.1038/s41467-024-52371-w

Ashida, R., Cerminara, N. L., Edwards, R. J., Apps, R. & Brooks, J. C. W. Sensorimotor, language, and working memory representation within the human cerebellum. Hum. Brain Mapp. 40, 4732–4747 (2019).

pubmed: 31361075 pmcid: 6865458 doi: 10.1002/hbm.24733

Grosbras, M. H., Beaton, S. & Eickhoff, S. B. Brain regions involved in human movement perception: a quantitative voxel-based meta-analysis. Hum. Brain Mapp. 33, 431–454 (2012).

pubmed: 21391275 doi: 10.1002/hbm.21222

Chao, O. Y. et al. Social memory deficit caused by dysregulation of the cerebellar vermis. Nat. Commun. 14, 6007 (2023).

pubmed: 37752149 pmcid: 10522595 doi: 10.1038/s41467-023-41744-2

Pierce, J. E., Thomasson, M., Voruz, P., Selosse, G. & Péron, J. Explicit and implicit emotion processing in the cerebellum: a meta-analysis and systematic review. Cerebellum 22, 852–864 (2022). Recent meta-analysis on emotion in the cerebellum.

pubmed: 35999332 pmcid: 10485090 doi: 10.1007/s12311-022-01459-4

Kruithof, E. S., Klaus, J. & Schutter, D. J. L. G. The human cerebellum in reward anticipation and outcome processing: an activation likelihood estimation meta-analysis. Neurosci. Biobehav. Rev. 149, 105171 (2023). Recent meta-analysis on reward in the cerebellum.

pubmed: 37060968 doi: 10.1016/j.neubiorev.2023.105171

Frijda, N. H., Kuipers, P. & Ter Schure, E. Relations among emotion, appraisal, and emotional action readiness. J. Pers. Soc. Psychol. 57, 212–228 (1989).

doi: 10.1037/0022-3514.57.2.212

Lindquist, K. A., Wager, T. D., Kober, H., Bliss-Moreau, E. & Barrett, L. F. The brain basis of emotion: a meta-analytic review. Behav. Brain Sci. 35, 121–143 (2012).

pubmed: 22617651 pmcid: 4329228 doi: 10.1017/S0140525X11000446

Cattaneo, Z. et al. New horizons on non-invasive brain stimulation of the social and affective cerebellum. Cerebellum 21, 482–496 (2022). Extensive review dealing with recent developments in non-invasive stimulation of the cerebellum.

pubmed: 34270081 doi: 10.1007/s12311-021-01300-4

Ferrari, C., Oldrati, V., Gallucci, M., Vecchi, T. & Cattaneo, Z. The role of the cerebellum in explicit and incidental processing of facial emotional expressions: a study with transcranial magnetic stimulation. Neuroimage 169, 256–264 (2018).

pubmed: 29246845 doi: 10.1016/j.neuroimage.2017.12.026

Ferrari, C., Ciricugno, A., Arioli, M. & Cattaneo, Z. Functional segregation of the human cerebellum in social cognitive tasks revealed by TMS. J. Neurosci. https://doi.org/10.1523/JNEUROSCI.1818-22.2023 (2023). This is one of the many studies by Ferrari using short cerebellar TMS pulses to interrupt emotional processes; this one is of particular interest because stimulation of different locations in the cerebellum led to changes in basic emotional recognition (vermis) or emotion recognition in a social context (lateral cerebellum).

doi: 10.1523/JNEUROSCI.1818-22.2023 pubmed: 37833066 pmcid: 10711718

Ferrucci, R. et al. Cerebellum and processing of negative facial emotions: cerebellar transcranial DC stimulation specifically enhances the emotional recognition of facial anger and sadness. Cogn. Emot. 26, 786–799 (2012).

pubmed: 22077643 doi: 10.1080/02699931.2011.619520

Clausi, S., Lupo, M., Funghi, G., Mammone, A. & Leggio, M. Modulating mental state recognition by anodal tDCS over the cerebellum. Sci. Rep. 12, 22616 (2022).

pubmed: 36585436 pmcid: 9803656 doi: 10.1038/s41598-022-26914-4

Ciricugno, A., Ferrari, C., Battelli, L. & Cattaneo, Z. Timing the cerebellum and its connectivity within the social brain. Preprint at bioRxiv https://doi.org/10.1101/2024.01.09.574775 (2024).

doi: 10.1101/2024.01.09.574775

Ferrari, C., Ciricugno, A., Urgesi, C. & Cattaneo, Z. Cerebellar contribution to emotional body language perception: a TMS study. Soc. Cogn. Affect. Neurosci. 17, 81–90 (2022).

pubmed: 31588511 doi: 10.1093/scan/nsz074

Ferrari, C., Ciricugno, A., Battelli, L., Grossman, E. D. & Cattaneo, Z. Distinct cerebellar regions for body motion discrimination. Soc. Cogn. Affect. Neurosci. 17, 72–80 (2022).

pubmed: 31820788 doi: 10.1093/scan/nsz088

Schutter, D. J. L. G., Enter, D. & Hoppenbrouwers, S. S. High-frequency repetitive transcranial magnetic stimulation to the cerebellum and implicit processing of happy facial expressions. J. Psychiat. Neurosci. 34, 60–65 (2009).

Sokolov, A. A., Erb, M., Grodd, W. & Pavlova, M. A. Structural loop between the cerebellum and the superior temporal sulcus: evidence from diffusion tensor imaging. Cereb. Cortex 24, 626–632 (2014). This paper identifies a direct anatomical pathway connecting the posterior cerebellum and the posterior superior temporal sulcus (pSTS).

pubmed: 23169930 doi: 10.1093/cercor/bhs346

Friston, K., Zeidman, P. & Litvak, V. Empirical bayes for DCM: a group inversion scheme. Front. Syst. Neurosci. 9, 164 (2015).

pubmed: 26640432 pmcid: 4661273 doi: 10.3389/fnsys.2015.00164

Friston, K. J. et al. Bayesian model reduction and empirical Bayes for group (DCM) studies. Neuroimage 128, 413–431 (2016).

pubmed: 26569570 doi: 10.1016/j.neuroimage.2015.11.015

Sokolov, A. A. et al. Biological motion processing: the left cerebellum communicates with the right superior temporal sulcus. Neuroimage 59, 2824–2830 (2012). A DCM analysis showing functional connections between the posterior cerebellum and the pSTS during action observation via light-point displays of human movement.

pubmed: 22019860 doi: 10.1016/j.neuroimage.2011.08.039

Sokolov, A. A. et al. Structural and effective brain connectivity underlying biological motion detection. Proc. Natl Acad. Sci. USA 115, E12034–E12042 (2018). A DCM analysis showing functional connections between the posterior cerebellum and the pSTS and IFG during action observation via light-point displays of human movement.

pubmed: 30514816 pmcid: 6305007 doi: 10.1073/pnas.1812859115

Van Overwalle, F., Van de Steen, F., van Dun, K. & Heleven, E. Connectivity between the cerebrum and cerebellum during social and non-social sequencing using dynamic causal modelling. Neuroimage 206, 116326 (2020).

pubmed: 31678499 doi: 10.1016/j.neuroimage.2019.116326

Pu, M. et al. Dynamic causal modeling of cerebello-cerebral connectivity when sequencing trait-implying actions. Cereb. Cortex 33, 6366–6381 (2023). This dynamic causal modelling (DCM) study demonstrates the many contralateral and ipsilateral reciprocal connections between the cerebellar Crus area and cortical key areas for mentalizing, including the temporo-parietal junction (TPJ) and the medial prefrontal cortex (mPFC) during a task involving social action sequences that imply an agent’s personality trait.

pubmed: 36573440 doi: 10.1093/cercor/bhac510

Ma, Q. et al. Effective cerebello–cerebral connectivity during implicit and explicit social belief sequence learning using dynamic causal modeling. Soc. Cogn. Affect Neurosci. 18, nsac044 (2023). This DCM study demonstrates the many contralateral and ipsilateral functional reciprocal connections between the cerebellar Crus area and key cortical mentalizing network areas including the TPJ during implicit and explicit sequencing requiring mentalizing using a mentalizing (true and false beliefs) version of a serial reaction time task.

pubmed: 35796503 doi: 10.1093/scan/nsac044

Van Overwalle, F., Van de Steen, F. & Mariën, P. Dynamic causal modeling of the effective connectivity between the cerebrum and cerebellum in social mentalizing across five studies. Cogn. Affect. Behav. Neurosci. 19, 211–223 (2019).

pubmed: 30361864 doi: 10.3758/s13415-018-00659-y

Metoki, A., Wang, Y. & Olson, I. R. The social cerebellum: a large-scale investigation of functional and structural specificity and connectivity. Cereb. Cortex 32, 987–1003 (2022). An extensive large-scale analysis of the bidirectional connections linking the social cerebellar areas with cortical areas.

pubmed: 34428293 doi: 10.1093/cercor/bhab260

Fastenrath, M. et al. Human cerebellum and corticocerebellar connections involved in emotional memory enhancement. Proc. Natl. Acad. Sci. USA 119, e2204900119 (2022).

pubmed: 36191198 pmcid: 9564100 doi: 10.1073/pnas.2204900119

Ito, M. Movement and thought: identical control mechanisms by the cerebellum. Trends Neurosci. 16, 448–450 (1993).

pubmed: 7507615 doi: 10.1016/0166-2236(93)90073-U

Ito, M. Control of mental activities by internal models in the cerebellum. Nat. Rev. Neurosci. 9, 304–313 (2008).

pubmed: 18319727 doi: 10.1038/nrn2332

Sereno, M. I. et al. The human cerebellum has almost 80% of the surface area of the neocortex. Proc. Natl Acad. Sci. USA 117, 19538–19543 (2020).

pubmed: 32723827 pmcid: 7431020 doi: 10.1073/pnas.2002896117

Lent, R., Azevedo, F. A. C., Andrade-Moraes, C. H. & Pinto, A. V. O. How many neurons do you have? Some dogmas of quantitative neuroscience under revision. Eur. J. Neurosci. 35, 1–9 (2012).

pubmed: 22151227 doi: 10.1111/j.1460-9568.2011.07923.x

Leggio, M. & Molinari, M. Cerebellar sequencing: a trick for predicting the future. Cerebellum 14, 35–38 (2015). Brief but seminal paper on the sequencing hypothesis in social cognition.

pubmed: 25331541 doi: 10.1007/s12311-014-0616-x

Molinari, M. & Masciullo, M. The implementation of predictions during sequencing. Front. Cell Neurosci. 13, 439 (2019).

pubmed: 31649509 pmcid: 6794410 doi: 10.3389/fncel.2019.00439

Koster-Hale, J. & Saxe, R. Theory of mind: a neural prediction problem. Neuron 79, 836–848 (2013).

pubmed: 24012000 pmcid: 4041537 doi: 10.1016/j.neuron.2013.08.020

Sokolov, A. A., Gharabaghi, A., Tatagiba, M. S. & Pavlova, M. Cerebellar engagement in an action observation network. Cereb. Cortex 20, 486–491 (2010).

pubmed: 19546157 doi: 10.1093/cercor/bhp117

Oldrati, V. et al. How social is the cerebellum? Exploring the effects of cerebellar transcranial direct current stimulation on the prediction of social and physical events. Brain Struct. Funct. 226, 671–684 (2021). A cerebellar transcranial direct-current stimulation (tDCS) study illustrating a modulating effect on human motion understanding in a relatively predictive context.

pubmed: 33426567 doi: 10.1007/s00429-020-02198-0

Li, M. et al. Mind your step: social cerebellum in interactive navigation. Soc. Cogn. Affect. Neurosci. 18, nsac047 (2023).

pubmed: 35866545 doi: 10.1093/scan/nsac047

Li, M. et al. Social cerebellum in goal-directed navigation. Soc. Neurosci. 16, 467–485 (2021). A study that demonstrates the role of the cerebellar Crus area during goal-directed social navigation.

pubmed: 34404321 doi: 10.1080/17470919.2021.1970017

Li, M. et al. One step too far: social cerebellum in norm-violating navigation. Soc. Cogn. Affect. Neurosci. 19, nsae027 (2024).

pubmed: 38536051 pmcid: 11037276 doi: 10.1093/scan/nsae027

Li, M. et al. Create your own path: social cerebellum in sequence-based self-guided navigation. Soc. Cogn. Affect. Neurosci. 19, nsae015 (2024).

pubmed: 38554289 pmcid: 10981473 doi: 10.1093/scan/nsae015

Heleven, E., van Dun, K. & Van Overwalle, F. The posterior cerebellum is involved in constructing social action sequences: an fMRI study. Sci. Rep. 9, 11110 (2019). A fMRI study demonstrating that the cerebellar Crus area is activated during social action sequences that require mentalizing in comparison with non-social sequences using the picture and verbal sequencing test.

pubmed: 31366954 pmcid: 6668391 doi: 10.1038/s41598-019-46962-7

Ma, Q. et al. The posterior cerebellum and temporoparietal junction support explicit learning of social belief sequences. Cogn. Affect. Behav. Neurosci. 22, 467–491 (2022).

pubmed: 34811709 doi: 10.3758/s13415-021-00966-x

Ma, Q. et al. The posterior cerebellum supports implicit learning of social belief sequences. Cogn. Affect. Behav. Neurosci. 21, 970–992 (2021). This study demonstrates that implicit social sequencing during mentalizing recruits the cerebellar Crus area using a mentalizing (true and false beliefs) version of a serial reaction time task.

pubmed: 34100254 doi: 10.3758/s13415-021-00910-z

Pu, M. et al. The posterior cerebellum and social action sequences in a cooperative context. Cerebellum 22, 559–577 (2022).

pubmed: 35648333 doi: 10.1007/s12311-022-01420-5

Pu, M. et al. The posterior cerebellum supports the explicit sequence learning linked to trait attribution. Cogn. Affect. Behav. Neurosci. 20, 798–815 (2020).

pubmed: 32495270 pmcid: 7395039 doi: 10.3758/s13415-020-00803-7

Pu, M., Ma, Q., Heleven, E., Haihambo, N. P. & Van Overwalle, F. The posterior cerebellum and inconsistent trait implications when learning the sequence of actions. Soc. Cogn. Affect. Neurosci. 16, 696–706 (2021).

pubmed: 33769547 pmcid: 8259289 doi: 10.1093/scan/nsab091

Pu, M. et al. This is not who you are: the posterior cerebellum and stereotype-inconsistent action sequences. Cogn. Affect. Behav. Neurosci. 22, 1090–1107 (2022).

pubmed: 35411417 doi: 10.3758/s13415-022-01005-z

Haihambo, N. et al. Social thinking is for doing: the posterior cerebellum supports predictions of social actions based on personality traits. Soc. Cogn. Affect. Neurosci. 17, 241–251 (2022). A study of the prediction of social action sequences based on prior information on an agent’s personality traits.

pubmed: 34255849 doi: 10.1093/scan/nsab087

Haihambo, N. et al. Two is company: the posterior cerebellum and sequencing for pairs versus individuals during social preference prediction. Cogn. Affect. Behav. Neurosci. 23, 1482–1499 (2023).

pubmed: 37821755 pmcid: 10684703 doi: 10.3758/s13415-023-01127-y

Haihambo, N. et al. Exciting the social butterfly: anodal cerebellar transcranial direct current stimulation modulates neural activation during predictive social mentalizing. Int. J. Clin. Health Psychol. 24, 100480 (2024).

pubmed: 39055855 pmcid: 11269293 doi: 10.1016/j.ijchp.2024.100480

Haihambo, N. et al. To do or not to do: the cerebellum and neocortex contribute to predicting sequences of social intentions. Cogn. Affect. Behav. Neurosci. 23, 323–339 (2023).

pubmed: 36788200 pmcid: 10049953 doi: 10.3758/s13415-023-01071-x

Nissen, M. J. & Bullemer, P. Attentional requirements of learning: evidence from performance measures. Cogn. Psychol. 19, 1–32 (1987).

doi: 10.1016/0010-0285(87)90002-8

Ma, Q. et al. Implicit learning of true and false belief sequences. Front. Psychol. 12, 643594 (2021).

pubmed: 33841278 pmcid: 8032999 doi: 10.3389/fpsyg.2021.643594

Van Overwalle, F. et al. The role of the cerebellum in reconstructing social action sequences: a pilot study. Soc. Cogn. Affect. Neurosci. 14, 549–558 (2019).

pubmed: 31037308 pmcid: 6545532 doi: 10.1093/scan/nsz032

Heleven, E., van Dun, K., De Witte, S., Baeken, C. & Van Overwalle, F. The role of the cerebellum in social and non-social action sequences: a preliminary LF-rTMS study. Front. Hum. Neurosci. 15, 593821 (2021). A cerebellar transcranial magnetic stimulation (TMS) study demonstrating an effect on social action sequences that require social mentalizing using the picture and verbal sequencing test.

pubmed: 33716690 pmcid: 7947373 doi: 10.3389/fnhum.2021.593821

Zinchenko, O. & Arsalidou, M. Brain responses to social norms: meta-analyses of fMRI studies. Hum. Brain Mapp. 39, 955–970 (2018).

pubmed: 29160930 doi: 10.1002/hbm.23895

Arsalidou, M., Morris, D. & Taylor, M. J. Converging evidence for the advantage of dynamic facial expressions. Brain Topogr. 24, 149–163 (2011).

pubmed: 21350872 doi: 10.1007/s10548-011-0171-4

Schultz, J., Brockhaus, M., Bülthoff, H. H. & Pilz, K. S. What the human brain likes about facial motion. Cereb. Cortex 23, 1167–1178 (2013).

pubmed: 22535907 doi: 10.1093/cercor/bhs106

Dureux, A., Zanini, A. & Everling, S. Face-selective patches in marmosets are involved in dynamic and static facial expression processing. J. Neurosci. 43, 3477–3494 (2023).

pubmed: 37001990 pmcid: 10184744 doi: 10.1523/JNEUROSCI.1484-22.2023

Malatesta, G. et al. The predictive role of the posterior cerebellum in the processing of dynamic emotions. Cerebellum 23, 545–553 (2024). A promising transcranial stimulation study showing divergence in the modulation of static and dynamic facial expressions.

pubmed: 37285048 doi: 10.1007/s12311-023-01574-w

Terney, D., Chaieb, L., Moliadze, V., Antal, A. & Paulus, W. Increasing human brain excitability by transcranial high-frequency random noise stimulation. J. Neurosci. 28, 14147–14155 (2008).

pubmed: 19109497 pmcid: 6671476 doi: 10.1523/JNEUROSCI.4248-08.2008

Caligiore, D., Arbib, M. A., Miall, R. C. & Baldassarre, G. The super-learning hypothesis: integrating learning processes across cortex, cerebellum and basal ganglia. Neurosci. Biobehav. Rev. 100, 19–34 (2019).

pubmed: 30790636 doi: 10.1016/j.neubiorev.2019.02.008

Raymond, J. L. & Medina, J. F. Computational principles of supervised learning in the cerebellum. Annu. Rev. Neurosci. 41, 233–253 (2018).

pubmed: 29986160 pmcid: 6056176 doi: 10.1146/annurev-neuro-080317-061948

Ohmae, S. & Medina, J. F. Climbing fibers encode a temporal-difference prediction error during cerebellar learning in mice. Nat. Neurosci. 18, 1798–1803 (2015).

pubmed: 26551541 pmcid: 4754078 doi: 10.1038/nn.4167

Larry, N., Yarkoni, M., Lixenberg, A. & Joshua, M. Cerebellar climbing fibers encode expected reward size. eLife 8, e46870 (2019).

pubmed: 31661073 pmcid: 6844644 doi: 10.7554/eLife.46870

Heffley, W. et al. Coordinated cerebellar climbing fiber activity signals learned sensorimotor predictions. Nat. Neurosci. 21, 1431–1441 (2018).

pubmed: 30224805 pmcid: 6362851 doi: 10.1038/s41593-018-0228-8

Sendhilnathan, N., Ipata, A. E. & Goldberg, M. E. Neural correlates of reinforcement learning in mid-lateral cerebellum. Neuron 106, 188–198.e5 (2020).

pubmed: 32001108 pmcid: 8015782 doi: 10.1016/j.neuron.2019.12.032

Wagner, M. J., Kim, T. H., Savall, J., Schnitzer, M. J. & Luo, L. Cerebellar granule cells encode the expectation of reward. Nature 544, 96–100 (2017).

pubmed: 28321129 pmcid: 5532014 doi: 10.1038/nature21726

Garcia-Garcia, M. G. et al. A cerebellar granule cell-climbing fiber computation to learn to track long time intervals. Neuron 112, 2749–2764.e7 (2024).

pubmed: 38870929 pmcid: 11343686 doi: 10.1016/j.neuron.2024.05.019

Elman, J. L. Finding structure in time. Cogn. Sci. 14, 179–211 (1990).

doi: 10.1207/s15516709cog1402_1

Cleeremans, A. & Mcclelland, J. L. Learning the structure of event sequences. J. Exp. Psychol. Gen. 120, 235–253 (1991).

pubmed: 1836490 doi: 10.1037/0096-3445.120.3.235

Boven, E., Pemberton, J., Chadderton, P., Apps, R. & Costa, R. P. Cerebro-cerebellar networks facilitate learning through feedback decoupling. Nat. Commun. 14, 51 (2023).

pubmed: 36599827 pmcid: 9813152 doi: 10.1038/s41467-022-35658-8

Olson, I. R., Hoffman, L. J., Jobson, K. R., Popal, H. S. & Wang, Y. Little brain, little minds: the big role of the cerebellum in social development. Dev. Cogn. Neurosci. 60, 101238 (2023).

pubmed: 37004475 pmcid: 10067769 doi: 10.1016/j.dcn.2023.101238

Abell, F., Happe, F. & Frith, U. Do triangles play tricks? Attribution of mental states to animated shapes in normal and abnormal development. Cogn. Dev. 15, 1–16 (2000).

doi: 10.1016/S0885-2014(00)00014-9

Brunet, E., Sarfati, Y., Hardy-Baylé, M. C. & Decety, J. A PET investigation of the attribution of intentions with a nonverbal task. Neuroimage 11, 157–166 (2000).

pubmed: 10679187 doi: 10.1006/nimg.1999.0525

Ma, N., Vandekerckhove, M., Van Overwalle, F., Seurinck, R. & Fias, W. Spontaneous and intentional trait inferences recruit a common mentalizing network to a different degree: spontaneous inferences activate only its core areas. Soc. Neurosci. 6, 123–138 (2011).

pubmed: 20661837 doi: 10.1080/17470919.2010.485884

Van Hoeck, N. et al. Counterfactual thinking: an fMRI study on changing the past for a better future. Soc. Cogn. Affect. Neurosci. 8, 556–564 (2013).

pubmed: 22403155 doi: 10.1093/scan/nss031

Peterburs, J., Blevins, L. C., Sheu, Y. S. & Desmond, J. E. Cerebellar contributions to sequence prediction in verbal working memory. Brain Struct. Funct. 224, 485–499 (2019).

pubmed: 30390152 doi: 10.1007/s00429-018-1784-0

Sheu, Y. S. & Desmond, J. E. Cerebro-cerebellar response to sequence violation in a cognitive task: an fMRI study. Cerebellum 21, 73–85 (2021).

pubmed: 34021492 pmcid: 8606618 doi: 10.1007/s12311-021-01279-y

Moberget, T., Gullesen, E. H., Andersson, S., Ivry, R. B. & Endestad, T. Generalized role for the cerebellum in encoding internal models: evidence from semantic processing. J. Neurosci. 34, 2871–2878 (2014).

pubmed: 24553928 pmcid: 3931501 doi: 10.1523/JNEUROSCI.2264-13.2014

Van Overwalle, F. et al. The role of the posterior cerebellum in dysfunctional social sequencing. Cerebellum 21, 1123–1134 (2022).

pubmed: 34637054 doi: 10.1007/s12311-021-01330-y

Limperopoulos, C. et al. Does cerebellar injury in premature infants contribute to the high prevalence of long-term cognitive, learning, and behavioral disability in survivors? Pediatrics 120, 584–593 (2007). A study that pointed to a non-genetic cerebellar explanation for autism before birth.

pubmed: 17766532 doi: 10.1542/peds.2007-1041

Hadaya, L. et al. Distinct neurodevelopmental trajectories in groups of very preterm children screening positively for autism spectrum conditions. J. Autism Dev. Disord. 54, 256–269 (2022).

pubmed: 36273367 pmcid: 10791910 doi: 10.1007/s10803-022-05789-4

Heleven, E., Bylemans, T., Ma, Q., Baeken, C. & Baetens, K. Impaired sequence generation: a preliminary comparison between high functioning autistic and neurotypical adults. Front. Behav. Neurosci. 16, 946482 (2022).

pubmed: 36147543 pmcid: 9486458 doi: 10.3389/fnbeh.2022.946482

Wang, A. T., Lee, S. S., Sigman, M. & Dapretto, M. Reading affect in the face and voice. Arch. Gen. Psychiat. 64, 698 (2007).

pubmed: 17548751 doi: 10.1001/archpsyc.64.6.698

Bylemans, T. et al. A narrative sequencing and mentalizing training for adults with autism: a pilot study. Front. Behav. Neurosci. 16, 941272 (2022).

pubmed: 36062258 pmcid: 9433774 doi: 10.3389/fnbeh.2022.941272

Janacsek, K. et al. Sequence learning in the human brain: a functional neuroanatomical meta-analysis of serial reaction time studies. Neuroimage 207, 116387 (2020).

pubmed: 31765803 doi: 10.1016/j.neuroimage.2019.116387

Baetens, K., Firouzi, M., Van Overwalle, F. & Deroost, N. Involvement of the cerebellum in the serial reaction time task (SRT) (Response to Janacsek et al.). Neuroimage 220, 117114 (2020).

pubmed: 32615254 doi: 10.1016/j.neuroimage.2020.117114

Bostan, A. C. & Strick, P. L. The basal ganglia and the cerebellum: nodes in an integrated network. Nat. Rev. Neurosci. 19, 338–350 (2018). A review that provides a much-needed overview of the distinct roles of the cerebellum and basal ganglia.

pubmed: 29643480 pmcid: 6503669 doi: 10.1038/s41583-018-0002-7

Firouzi, M. et al. More focal is not always better: effects of conventional versus high-definition transcranial direct-current stimulation on implicit motor sequence learning. Preprint at Authorea https://doi.org/10.22541/au.168083472.23192198/v1 (2024).

Schutter, D. J. L. G., Smits, F. & Klaus, J. Mind matters: a narrative review on affective state-dependency in non-invasive brain stimulation. Int. J. Clin. Health Psychol. 23, 100378 (2023).

pubmed: 36866122 pmcid: 9971283 doi: 10.1016/j.ijchp.2023.100378

Wang, S. S.-H., Kloth, A. D. & Badura, A. The cerebellum, sensitive periods, and autism. Neuron 83, 518–532 (2014).

pubmed: 25102558 pmcid: 4135479 doi: 10.1016/j.neuron.2014.07.016

Diedrichsen, J. & Zotow, E. Surface-based display of volume-averaged cerebellar imaging data. PLoS ONE 10, e0133402 (2015).

pubmed: 26230510 pmcid: 4521932 doi: 10.1371/journal.pone.0133402

Sokolov, A. A. et al. Recovery of biological motion perception and network plasticity after cerebellar tumor removal. Cortex 59, 146–152 (2014).

pubmed: 25017648 doi: 10.1016/j.cortex.2014.05.012

Diagnostic and Statistical Manual of Mental Disorders 5th edn (American Psychiatric Association, 2022).

Sydnor, L. M. & Aldinger, K. A. The cerebellum in autism: from structure to function. J. Psychiatr. Brain Sci. 7, e220008 (2022).

pubmed: 36425354 pmcid: 9683352

Li, Y. et al. Regionally specific TSC1 and TSC2 gene expression in tuberous sclerosis complex. Sci. Rep. 8, 13373 (2018).

pubmed: 30190613 pmcid: 6127129 doi: 10.1038/s41598-018-31075-4

D’Mello, A. M., Crocetti, D., Mostofsky, S. H. & Stoodley, C. J. Cerebellar gray matter and lobular volumes correlate with core autism symptoms. Neuroimage Clin. 7, 631–639 (2015).

pubmed: 25844317 pmcid: 4375648 doi: 10.1016/j.nicl.2015.02.007

Sathyanesan, A. et al. Emerging connections between cerebellar development, behaviour and complex brain disorders. Nat. Rev. Neurosci. 20, 298–313 (2019).

pubmed: 30923348 pmcid: 7236620 doi: 10.1038/s41583-019-0152-2

Stoodley, C. J. et al. Altered cerebellar connectivity in autism and cerebellar-mediated rescue of autism-related behaviors in mice. Nat. Neurosci. 20, 1744–1751 (2017). An animal study showing that the cerebellar Crus 1 modulates the social behaviour of mice, based on the connectivity between Crus 1 and the inferior parietal lobule.

pubmed: 29184200 pmcid: 5867894 doi: 10.1038/s41593-017-0004-1

Tsai, P. T. et al. Autistic-like behaviour and cerebellar dysfunction in Purkinje cell Tsc1 mutant mice. Nature 488, 647–651 (2012).

pubmed: 22763451 pmcid: 3615424 doi: 10.1038/nature11310

Reith, R. M. et al. Neurobiology of disease loss of Tsc2 in Purkinje cells is associated with autistic-like behavior in a mouse model of tuberous sclerosis complex. Neurobiol. Dis. 51, 93–103 (2013).

pubmed: 23123587 doi: 10.1016/j.nbd.2012.10.014

Cupolillo, D. et al. Autistic-like traits and cerebellar dysfunction in Purkinje cell PTEN knock-out mice. Neuropsychopharmacology 41, 1457–1466 (2016).

pubmed: 26538449 doi: 10.1038/npp.2015.339

Yamashiro, K. et al. AUTS2 governs cerebellar development, Purkinje cell maturation, motor function and social communication. iScience 23, 101820 (2020).

pubmed: 33305180 pmcid: 7708818 doi: 10.1016/j.isci.2020.101820

Kelly, E. et al. Regulation of autism-relevant behaviors by cerebellar–prefrontal cortical circuits. Nat. Neurosci. 23, 1102–1110 (2020). An interesting rodent study demonstrating that cerebellar Crus 1 modulates the social behaviour of mice, based on the connectivity between Crus 1 and the prelimbic cortex, a homologue of the human medial prefrontal cortex.

pubmed: 32661395 pmcid: 7483861 doi: 10.1038/s41593-020-0665-z

Badura, A. et al. Normal cognitive and social development require posterior cerebellar activity. eLife 7, e36401 (2018). An animal study revealing that perturbation of the cerebellar Crus 1 region in young mice modulates social behaviour, whereas perturbation of Crus 1 leaves adult mice unaffected.

pubmed: 30226467 pmcid: 6195348 doi: 10.7554/eLife.36401

Rescorla, R. A. & Wagner, A. R. A theory of Pavlovian conditioning: variations in the effectiveness of reinforcement and nonreinforcement. In Classical Conditioning II: Current Research and Theory (eds Black, A. H. & Prokasy, W. F.) 64–99 (Appleton-Century-Crofts, 1972).

Van Overwalle, F. Social Connectionism: A Reader and Handbook for Simulations (Psychology Press, 2013).

Van Rooy, D., Van Overwalle, F., Vanhoomissen, T., Labiouse, C. & French, R. A recurrent connectionist model of group biases. Psychol. Rev. 110, 536–563 (2003).

pubmed: 12885114 doi: 10.1037/0033-295X.110.3.536

Van Overwalle, F. & Heylighen, F. Talking nets: a multiagent connectionist approach to communication and trust between individuals. Psychol. Rev. 113, 606–627 (2006).

pubmed: 16802883 doi: 10.1037/0033-295X.113.3.606

Boven, E. & Cerminara, N. L. Cerebellar contributions across behavioural timescales: a review from the perspective of cerebro-cerebellar interactions. Front. Syst. Neurosci. 17, 1211530 (2023).

pubmed: 37745783 pmcid: 10512466 doi: 10.3389/fnsys.2023.1211530

Hull, C. Prediction signals in the cerebellum: beyond supervised motor learning. eLife 9, e54073 (2020).

pubmed: 32223891 pmcid: 7105376 doi: 10.7554/eLife.54073

Social and emotional learning in the cerebellum.

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Frank Van Overwalle (F)

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