Section: Health & Movement Sciences
Topic: Physiology, Psychological and cognitive sciences, Neuroscience

Superficial layers in M1 and beyond: Neural evidence of cortical and spinal activation during imagined movements

Corresponding author(s): Lebon, Florent (florent.lebon@univ-lyon1.fr)

10.24072/pcjournal.639 - Peer Community Journal, Volume 5 (2025), article no. e112

Get full text PDF Peer reviewed and recommended by PCI

Abstract

Motor imagery is the mental simulation of an action without any overt movement, but shares common neural substrates with motor execution. In particular, the involvement of the primary motor cortex (M1) has been debated, and recently, Persichetti et al. (2020) probed, in an elegant experiment, the activation of different cortical layers within the hand-knob M1 area, during actual and imagined movements. By means of the vascular space occupancy technique, they achieved sub-millimeter spatial specificity without the vasculature bias of the BOLD signal. The main finding was that imagined finger movements activated only the superficial layers II/III with mainly cortico-cortical connections to M1, whereas actual finger movements activated both superficial layers and the deeper layers Vb/VI with descending corticospinal projections. This would nicely explain the absence of muscle activity during motor imagery. However, this exclusive activation of superficial layers in M1 during motor imagery is at odds with numerous observations in the current literature. In this opinion letter, we present several studies with different methodological approaches that found neural modulation downstream the pyramidal cells while imagining. These modulations following motor imagery practice, besides the changes within M1, would also explain improvement in motor learning. We also discussed the results by Persichetti et al. in regards of their protocol.

Metadata
Published online:
DOI: 10.24072/pcjournal.639
Type: Research article
Keywords: Motor imagery, Primary motor cortex, Hand-knob area, Corticospinal tract, Spinal circuitry, Motor output, Non-invasive brain stimulation

Lebon, Florent 1, 2; Neige, Cecilia 3

1 LIBM, Université Claude Bernard Lyon 1, LIBM, Inter-University Laboratory of Human Movement Biology, UR 7424, F-69622, Villeurbanne, France
2 Institut Universitaire de France (IUF), Paris, France
3 Psychiatric Disorders, Neuroscience Research and Clinical Research, Troubles psychiatriques, Recherche en Neurosciences et Recherche Clinique Centre Hospitalier Le Vinatier, Bron, France
License: CC-BY 4.0
Copyrights: The authors retain unrestricted copyrights and publishing rights
Web-published in collaboration with: UGA Éditions
@article{10_24072_pcjournal_639,
     author = {Lebon, Florent and Neige, Cecilia},
     title = {Superficial layers in {M1} and beyond: {Neural} evidence of cortical and spinal activation during imagined movements},
     journal = {Peer Community Journal},
     eid = {e112},
     publisher = {Peer Community In},
     volume = {5},
     year = {2025},
     doi = {10.24072/pcjournal.639},
     language = {en},
     url = {https://peercommunityjournal.org/articles/10.24072/pcjournal.639/}
}
TY  - JOUR
AU  - Lebon, Florent
AU  - Neige, Cecilia
TI  - Superficial layers in M1 and beyond: Neural evidence of cortical and spinal activation during imagined movements
JO  - Peer Community Journal
PY  - 2025
VL  - 5
PB  - Peer Community In
UR  - https://peercommunityjournal.org/articles/10.24072/pcjournal.639/
DO  - 10.24072/pcjournal.639
LA  - en
ID  - 10_24072_pcjournal_639
ER  - 
%0 Journal Article
%A Lebon, Florent
%A Neige, Cecilia
%T Superficial layers in M1 and beyond: Neural evidence of cortical and spinal activation during imagined movements
%J Peer Community Journal
%D 2025
%V 5
%I Peer Community In
%U https://peercommunityjournal.org/articles/10.24072/pcjournal.639/
%R 10.24072/pcjournal.639
%G en
%F 10_24072_pcjournal_639
Lebon, F.; Neige, C. Superficial layers in M1 and beyond: Neural evidence of cortical and spinal activation during imagined movements. Peer Community Journal, Volume 5 (2025), article  no. e112. https://doi.org/10.24072/pcjournal.639

PCI peer reviews and recommendation, and links to data, scripts, code and supplementary information: 10.24072/pci.healthmovsci.100200

Conflict of interest of the recommender and peer reviewers:
The recommender in charge of the evaluation of the article and the reviewers declared that they have no conflict of interest (as defined in the code of conduct of PCI) with the authors or with the content of the article.

Full text

The full text below may contain a few conversion errors compared to the version of record of the published article.

Introduction

Motor imagery refers to the mental simulation of an action without any overt movement, but shares overlapping neural substrates with motor execution (Jeannerod, 1994). A key point of debate has been the involvement of the primary motor cortex (M1) during motor imagery. In an elegant study, Persichetti et al. (2020) probed the activation of distinct cortical layers within the hand-knob region of M1, during both actual and imagined movements. Using the vascular space occupancy technique, they achieved sub-millimeter spatial resolution without the vasculature bias of the BOLD signal. Their main finding was that imagined finger movements activated only the superficial layers II/III with mainly cortico-cortical connections to M1, whereas actual finger movements activated both superficial and deeper layers Vb/VI, with descending corticospinal projections. This result offers a compelling explanation for the absence of muscle activity during motor imagery. However, the exclusive activation of superficial layers in M1 during motor imagery appears inconsistent with numerous previous observations in the current literature. The purpose of this opinion letter is to present studies using various methodological approaches that support the idea of neural modulation downstream of pyramidal cells while imagining. These modulations, following motor imagery practice, alongside changes observed within M1 itself (Pascual-Leone et al., 1995), would also explain improvement in motor learning (Ruffino et al., 2017). We first summarize findings based on transcranial magnetic stimulation (TMS) studies demonstrating increased corticospinal excitability. We then discuss evidence of activity at the spinal cord level, despite the absence of muscle contraction.

Activation along the corticospinal tract

Early motor imagery studies reported a subliminal activation in the targeted muscles (Jacobson, 1930), i.e., below the neural threshold needed to elicit an overt action. In his motor simulation theory, Jeannerod considered that a subthreshold motor activation occurred during motor imagery, and that the “leaks” at the periphery would be the result of an incomplete inhibition at the central level (Jeannerod, 1994). Such evidence supports the idea that motor imagery practice leads to broader neural reorganization across the motor system, not just within M1 (Ruffino et al., 2017). Furthermore, animal studies have demonstrated that superficial cortical layers can influence cortical motor output via strong direct connections to layer V corticospinal neurons (Anderson et al., 2010). Unless an inhibitory mechanism blocks these connections, the activation seen in the superficial layers during motor imagery and reported by Persichetti et al. (2020) should also propagate to deeper layers.

In humans, numerous TMS studies have shown an increase of corticospinal excitability during motor imagery (for review, see Grosprêtre et al., 2016). According to Di Lazzaro & Ziemann (2013), the axons of the more superficial pyramidal neurons (P2/P3) are conceivably the most excitable neural elements to low-threshold TMS, due to their proximity to the stimulating coil. These axons also represent the main source of excitatory descending input to layer V pyramidal tract neurons (Anderson et al., 2010). Since TMS preferentially excites the axons of superficial layer cells and motor imagery increases TMS-evoked responses, it is highly plausible that the superficial pyramidal neurons activated while imagining directly excite the deeper layers (Figure 1).

Figure 1 - Schematic illustration of corticospinal pathway activation at supraspinal and spinal levels during imagined movement as probed by different methodological techniques. The corticospinal tract (represented in grey) originates from pyramidal cells in the layer V (P5) of the primary motor cortex to spinal motoneurons, and then to the muscle. Dotted lines represent the subliminal motor output generated during motor imagery (MI). Studies using transcranial magnetic stimulation (TMS) applied over the primary motor cortex (green flashes) have reported an increase of motor-evoked potentials (MEP) amplitude during MI compared to rest. This increase in MEP amplitude is an index of increased corticospinal excitability. Due to their proximity to the TMS coil, the axons of the superficial pyramidal neurons (layers II, III) are the most excitable elements. These neurons are known to have a monosynaptic excitatory connection with layer V. Therefore, if TMS activates superficial layer cells in the primary motor cortex and MI increases MEP amplitude, then it is likely that the layers II,III cells directly excite the deeper layers (layer V) during MI. Electrical stimulation applied at the cervicomedullary junction (orange flashes) elicits cervico-medullary-evoked potentials (CMEP), a direct marker of the cortico-motoneuronal pathway at the spinal level. Grosprêtre et al. (2015) reported an increase in CMEP amplitude during MI compared to rest, suggesting a subliminal activation of the corticospinal tract beyond the pyramidal tract neurons. The Hoffman reflex (H-reflex) which is conditioned by stimulation of the antagonistic nerve (blue flashes) induces D1 presynaptic inhibition of Ia afferents onto alpha motoneurons. Consequently, the conditioned H-reflex amplitude is lower than the unconditioned H-reflex amplitude when measured at rest. However, during MI, the amplitude of the conditioned H-reflex is no longer reduced (Grosprêtre et al., 2015). This suggests that the subliminal output generated during MI is strong enough to activate low-threshold interneurons (black dotted circles), which modulate the state of presynaptic interneurons at the spinal level.

An alternative explanation that aligns with the findings of Persichetti et al. (2020) is the involvement of motor-related cortical areas close to M1 during motor imagery. For example, the dorsal premotor cortex (PMd), which is activated during motor imagery, can directly excite the pyramidal tract neurons via a short‐latency facilitatory PMd‐to‐M1 hand pathway (Groppa et al., 2012). Combined activity from PMd and superficial layers of M1 activities during motor imagery may generate descending volleys in the corticospinal tract when low-threshold TMS pulses are applied. However, this hypothesis remains speculative and needs further investigations. Nonetheless, this hypothetical mechanism cannot fully account for observed increases in neural activity below the pyramidal tract neurons.

Spinal activity

More recently, studies have discovered neural activation below the pyramidal neurons when muscle activity was silent, highlighting the modulation of the spinal circuitry while imagining. For example, Grosprêtre et al. (2015) supported the hypothesis that a subliminal output is generated during motor imagery, using various stimulation techniques. First, they reported an increase of cervico-medullary-evoked potential (CMEP) amplitudes when imagining a muscle contraction, while the H-reflex amplitude remained unchanged (Figure 1). The CMEP provides a direct measure of motoneuronal pool excitability by activating descending axons at the spinal decussation, whereas H-reflex is an index of Ia-alpha synapse excitability. This first finding suggests a subliminal activation of the corticospinal tract during motor imagery, but insufficient to recruit alpha motoneurons. Further, a conditioning technique was used to reveal the activation of low-threshold spinal structures. The H-reflex was conditioned by the stimulation of the antagonist nerve inducing D1 presynaptic inhibition. At rest, this conditioning reduced the H-reflex amplitude, consistent with effective presynaptic inhibition. However, during motor imagery, the inhibitory effect on H-reflex amplitude was no longer observed. This suggests that the subliminal descending volleys generated while imagining may activate low-threshold spinal elements known as primary afferent depolarization interneurons, which in turns suppress presynaptic inhibition (Figure 1). Although we cannot totally rule out the potential contribution of premotor areas to the corticospinal projection (Maier, 2002), there is a strong probability that the pyramidal tract neurons are activated during motor imagery, producing a subliminal motor output that reaches the spinal level.

Conclusion and perspectives

By using the vascular space occupancy technique to capture neural activations across cortical laminae with a sub-millimeter resolution, Persichetti et al. (2020) have provided valuable insights into layer-specific activity in M1 during imagined finger tapping. This work constitutes a clear methodological advance and a promising tool to probe neural networks of motor imagery in humans. Nonetheless, we believe that further methodological considerations are warranted in light of existing literature. For example, when using imaging techniques as in Persichetti et al. (2020), a direct comparison between actual and imagined finger movements would reveal complementary findings. In addition, to further explore this question of M1 activation, non-invasive brain stimulation techniques are relevant tools. One possible approach would be to stimulate, by means of TMS, regions of interest that project, directly or indirectly, to spinal motoneurons (bypassing M1) and to probe whether responses at the spinal level are modulated. The ventral premotor cortex (PMv) is an ideal candidate, since it has strong connections with spinal structures during actual contractions (Braaß et al., 2023), and its central role in motor imagery, with action-specific and goal-related functions (Hanakawa et al., 2003; Hétu et al., 2013; Hardwick et al., 2018). A key methodological challenge, however, would be to stimulate PMv without activating M1, which would require the use of low-intensity TMS pulses.

Another promising direction to investigate the motor system engagement would be to consider the intra- and inter-variability in imagery abilities. Most studies rely on group-level inference statistics to analyze neural modulation during motor imagery. Currently, an emerging literature highlights a continuum of imagery vividness, ranging from aphantasia to hyperphantasia (Zeman, 2024). Identifying neural activation patterns at the individual level would contribute to defining the unique “fingerprints” of motor imagery. This needs to be done with appropriate sample size and adequate statistical analyses (e.g., direct comparisons between conditions, linear mixed models).

Finally, improving the reporting of imagery protocols is essential for reliability and reproducibility, as already emphasized in the context of action observation and motor imagery interventions (Moreno-Verdú et al., 2024). For example, specifying parameters such as the quality and clarity of the imagery instructions, the modality of motor imagery (kinesthetic vs. visual), the intensity of imagined movements, and individual imagery capacity, is of importance.

In conclusion, we argue that the apparent discrepancy between the findings of Persichetti et al. (2020) and those of previous literature highlights a gap in our understanding that merits further investigation.

Acknowledgement

Preprint version 2 of this article has been peer-reviewed and recommended by Peer Community In Health & Movement Sciences (https://doi.org/10.24072/pci.healthmovsci.100200; Hardwick, 2025).

Funding

This work was supported by the French “Investissements d’Avenir” program, project ISITE-BFC (contract ANR-15-IDEX-0003).

Author contributions

Florent Lebon and Cécilia Neige wrote the correspondence, and contributed equally to this work.

Conflict of interest disclosure

Florent Lebon acts as a member of the managing board of PCI Neuroscience. Throughout the entire review process, he remained blind to any decisions or discussions between the managing board of PCI Health and Movement Sciences, the recommender and the reviewers. The authors declare they comply with the PCI rule of having no financial conflicts of interest.


References

[1] Anderson, C. T.; Sheets, P. L.; Kiritani, T.; Shepherd, G. M. G. Sublayer-specific microcircuits of corticospinal and corticostriatal neurons in motor cortex., Nature neuroscience, Volume 13 (2010) no. 6, pp. 739-744 | DOI

[2] Braaß, H.; Feldheim, J.; Chu, Y.; Tinnermann, A.; Finsterbusch, J.; Büchel, C.; Schulz, R.; Gerloff, C. Association between activity in the ventral premotor cortex and spinal cord activation during force generation—A combined cortico-spinal fMRI study, Human Brain Mapping, Volume 44 (2023) no. 18, pp. 6471-6483 | DOI

[3] Di Lazzaro, V.; Ziemann, U. The contribution of transcranial magnetic stimulation in the functional evaluation of microcircuits in human motor cortex., Frontiers in neural circuits, Volume 7 (2013) no. February, p. 18 | DOI

[4] Groppa, S.; Schlaak, B. H.; Münchau, A.; Werner-Petroll, N.; Dünnweber, J.; Bäumer, T.; van Nuenen, B. F.; Siebner, H. R. The human dorsal premotor cortex facilitates the excitability of ipsilateral primary motor cortex via a short latency cortico-cortical route, Human Brain Mapping, Volume 33 (2012) no. 2, pp. 419-430 | DOI

[5] Grosprêtre, S.; Lebon, F.; Papaxanthis, C.; Martin, A. New evidence of corticospinal network modulation induced by motor imagery, Journal of Neurophysiology, Volume 115 (2015) no. 3, pp. 1279-1288 | DOI

[6] Grosprêtre, S.; Ruffino, C.; Lebon, F. Motor imagery and cortico-spinal excitability: A review, European Journal of Sport Science, Volume 16 (2016) no. 3, pp. 317-324 | DOI

[7] Hanakawa, T.; Immisch, I.; Toma, K.; Dimyan, M. A.; Van Gelderen, P.; Hallett, M. Functional Properties of Brain Areas Associated With Motor Execution and Imagery, Journal of Neurophysiology, Volume 89 (2003) no. 2, pp. 989-1002 | DOI

[8] Hardwick, R. Cortical and Spinal Pathways in Motor Imagery: Beyond the Superficial Layers of M1, Peer Community in Health and Movement Sciences (2025), p. 100200 | DOI

[9] Hardwick, R. M.; Caspers, S.; Eickho, S. B.; Swinnen, S. P. Neuroscience and biobehavioral reviews neural correlates of action : comparing meta-analyses of imagery , observation , and execution, Neuroscience and Biobehavioral Reviews, Volume 94 (2018) no. August, pp. 31-44 | DOI

[10] Hétu, S.; Grégoire, M.; Saimpont, A.; Coll, M. P.; Eugène, F.; Michon, P. E.; Jackson, P. L. The neural network of motor imagery: An ALE meta-analysis, Neuroscience and Biobehavioral Reviews, Volume 37 (2013) no. 5, pp. 930-949 | DOI

[11] Jacobson, E. Electrical measurements of neuromuscular states during mental activities: I. Imagination of movement involving skeletal muscle, American Journal of Physiology-Legacy Content, Volume 91 (1930) no. 2, pp. 567-608 | DOI

[12] Jeannerod, M. The representing brain: Neural correlates of motor intention and imagery, Behavioral and Brain Sciences, Volume 17 (1994) no. 2, pp. 187-202 | DOI

[13] Maier, M. Differences in the Corticospinal Projection from Primary Motor Cortex and Supplementary Motor Area to Macaque Upper Limb Motoneurons: An Anatomical and Electrophysiological Study, Cerebral Cortex, Volume 12 (2002) no. 3, pp. 281-296 | DOI

[14] Moreno-Verdú, M.; Hamoline, G.; Van Caenegem, E. E.; Waltzing, B. M.; Forest, S.; Valappil, A. C.; Khan, A. H.; Chye, S.; Esselaar, M.; Campbell, M. J.; McAllister, C. J.; Kraeutner, S. N.; Poliakoff, E.; Frank, C.; Eaves, D. L.; Wakefield, C.; Boe, S. G.; Holmes, P. S.; Bruton, A. M.; Vogt, S.; Wright, D. J.; Hardwick, R. M. Guidelines for reporting action simulation studies (GRASS): Proposals to improve reporting of research in motor imagery and action observation, Neuropsychologia, Volume 192 (2024), p. 108733 | DOI

[15] Pascual-Leone, A.; Nguyet, D.; Cohen, L. G.; Brasil-Neto, J. P.; Cammarota, A.; Hallett, M. Modulation of muscle responses evoked by transcranial magnetic stimulation during the acquisition of new fine motor skills, Journal of Neurophysiology, Volume 74 (1995) no. 3, pp. 1037-1045 | DOI

[16] Persichetti, A. S.; Avery, J. A.; Huber, L.; Merriam, E. P.; Martin, A. Layer-Specific Contributions to Imagined and Executed Hand Movements in Human Primary Motor Cortex, Current Biology (2020), pp. 1-5 | DOI

[17] Ruffino, C.; Papaxanthis, C.; Lebon, F. Neural plasticity during motor learning with motor imagery practice: Review and perspectives, Neuroscience, Volume 341 (2017), pp. 61-78 | DOI

[18] Zeman, A. Aphantasia and hyperphantasia: exploring imagery vividness extremes, Trends in Cognitive Sciences, Volume 28 (2024) no. 5, pp. 467-480 | DOI