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

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.

Authors

Institutions

Publication Details

Journal
Peer Community Journal
Published
2025-10-08
DOI
https://doi.org/10.24072/pcjournal.639
Primary Topic
Motor Control and Adaptation
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Florent Lebon, Cécilia Neige
Peer Community Journal
Motor Control and Adaptation
article

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

Florent Lebon, Cécilia Neige
article en

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.

Peer Community JournalVol. 5
Université Claude Bernard Lyon 1 (FR), Institut Universitaire de France (FR), Centre Hospitalier Le Vinatier (FR)
Agence Nationale de la Recherche
Openalex Percentile: Top 72%
Motor Control and Adaptation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.