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Enregistrement W3110174716 · doi:10.1113/jp280982

The motor homunculus: linking the past with the present

2020· letter· en· W3110174716 sur OpenAlexaboutno aff
Michaela A. Wilson, Haejin Dadachanji, Davin Greenwell

Notice bibliographique

RevueThe Journal of Physiology · 2020
Typeletter
Langueen
DomaineNeuroscience
ThématiqueTranscranial Magnetic Stimulation Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésNeuroscienceMotor cortexPrimary motor cortexPsychologyCortex (anatomy)Cognitive scienceStimulation

Résumé

récupéré en direct d'OpenAlex

Since the 1870s the primary motor cortex has been investigated for its functional architecture and how it relates to motor movement. Though the motor cortex had been observed to contain a sort of organized somatotopy in earlier studies, the relationship between cortical organization and motor control was still unclear. Advancements in stimulation techniques propelled the investigations and discoveries of specific cortical maps that represented different areas of the body. The most well-known (and generally accepted) of these discoveries were by Penfield and Rasmussen who, through invasive stimulation of the primary motor cortex, proposed a somatotopic relationship between areas of the motor cortex and areas of the body that they controlled. Penfield and Rassmusen's motor homunculus details a medial to lateral band of the motor cortex broken down into specific segments representing individual body parts including the separation of the fingers (thumb, index, middle, ring and pinky finger) and demonstrates distinct boundaries between somatotopic representations of different body parts. Importantly, Penfield and Rasmussen's observations were made in awake operated subjects, something that is rare, particularly in intact humans without possible pre-existing damage (e.g. epilepsy). Though Penfield and Rasmussen's work was groundbreaking at the time, the field of neuroscience has come a long way since the 1950s and several limitations have become apparent in light of more modern techniques. More recent (<50 years) understanding of motor cortical organization comes from activation studies where either the brain is stimulated non-invasively, or the subject is asked to perform (or imagine) a certain task while the brain is imaged. Each of these, while meritorious, has its specific limitations when examining the exact organization of the primary motor cortex. For instance, a commonly used non-invasive stimulation technique is transcranial magnetic stimulation. Without careful placement of the stimulation coil, guided by previous mapping techniques, stimulation is relatively inexact compared to microstimulation of the surface of the brain invasively. Furthermore, the relative intensities required to activate specific regions are likely to cause more widespread activation of surrounding brain tissues. Imaging techniques present their own problems, as now the accuracy of the response in the brain region is limited to how finite the movement is that is being performed (or imagined). Although these techniques are incredibly useful for understanding the general structure and function of the brain, in this context they simply do not provide the resolution needed to confirm, refute or further expand on Penfield and Rasmussen's initial findings. Since the time of Penfield and Rasmussen's work, we have a much better understanding of the connections and circuitry of the motor cortex. For example, we now know that there is not a 1:1 or direct processing relationship between the motor cortex and muscles (Schieber, 2001). This can be observed with principles such as convergence and divergence. Convergence refers to the joint activation of specific motor action by two or more separate cortical motor sites. Inversely, divergence refers to the synchronous activation of differing motor outputs by stimulation of a single cortical site. The presence of these properties of the motor cortex, coupled with the evidence for an individual's cortical plasticity and reorganization presents a case for a sort of relativity in individual somatotopy. Another aspect to consider with regard to somatotopic organization is the presence of negative motor areas. Stimulation of negative motor areas results in the inhibition of, instead of the activation of, movement. Rech et al. (2019) proposed the presence of a large-scale modulatory function primarily located in the motor cortex. In that study, they found central areas in which negative motor movements were evoked. These sites were located rostrally to positive motor areas with significant overlap and appeared to descend deep into the white matter of the brain. Considering the limitations posed by Penfield and Rasmussen's work in motor-compromised individuals, and considering the significant advancements in technology, medicine and neuroscience in the past 60 years, the motor homunculus has been long overdue for a reassessment. No large-scale systematic mapping studies of the human primary motor cortex have been attempted in awake human subjects recently. This is likely due, in part, to the extraordinary challenge and time commitment that such a task presents. In a recent study in The Journal of Physiology, Roux et al. (2020) collected data that spanned the course of 14 years. Rigorous inclusion and exclusion standards were required to ensure that subjects had no significant motor deficits despite lesions in other areas of the brain, thereby allowing this dataset to reflect a standard motor homunculus. There would be significant challenges to reproducing a similar study and it is for this very reason that Roux et al.’s work is so important in understanding the human motor somatotopy. Roux et al. sought to ‘update’ the functional areas of the motor homunculus and its relationship with the somatosensory homunculus using coordinates in the standard Montreal Neurological Institute (MNI) space. They tested 100 patients without motor deficits or brain lesions on the precentral gyrus that were surgically undergoing brain tumour removal elsewhere. Using direct electrical stimulation of the motor cortex in these awake subjects, they relied on patient feedback (patients indicated feeling something) rather than recorded electromyograms (EMGs) directly from the muscle. The patient feedback and observation was similar to the methods Penfield and Rasmussen used for linking cortical sites to motor actions, but may not have detected weaker responses that could have been observed in EMG recordings (Yingling et al. 1999) Of the 608 sites stimulated on the precentral gyrus, 248 (40%) were positive points for motor movement (Roux et al. 2020). There are many factors that could explain why most of the sites were unresponsive to stimulation: small undetectable responses (explained in the previous paragraph), activation of negative motor areas, and insufficient current intensity (detailed later). In line with previous work, most of the positive sites were in small clusters on the cortex and had little variability between subjects. Specifically, these small clusters for most body parts were centred in relation to the top of the precentral gyrus and highly localized. The movements observed were found to be stereotypical, isolated and basic. For example, flexion was produced more often than extension, specifically in the digits and wrist. Similar to the work of Penfield and Rasmussen, Roux et al. confirmed that the face, lips and tongue areas took up a large region of the motor homunculus. However, Penfield and Rasmussen noted a large region associated with movement of the lips, tongue and jaw that additionally resulted in the involuntary production of vocal noise (described as loud and sudden sound) (Penfield & Rasmussen, 1950). This was not confirmed in the present study, though the current intensities used in this study were much lower, likely resulting in fewer ‘false-positive’ responses due to less current spread to neighbouring areas. This issue of stimulation intensity is a double-edged sword, however, because there may have been insufficient current to cause motor movements that could have been otherwise observed with EMGs. In contrast to previous research, Roux et al. showed consistent somatotopic organization of movement within the precentral gyrus, and specifically demonstrated a relatively medial to lateral somatotopy of hand motor function. Penfield and Rasmussen, on the other hand, suggested a degree of variability in the somatotopic representation of the precentral gyrus; however, they failed to provide a clear explanation for what was defined as ‘variability’. Roux et al. defined variability as either ‘aberrant somatotopic organization’ or inconsistency in the, ‘localization of… cortical representation(s) of movement within the precentral gyrus’. By these definitions, they assert that little inter-individual variability was observed in their findings and that most of the variability that was observed could be explained by somatotopy. Another interesting point was that Roux et al. demonstrated that only 2% of the motor responses observed were from stimulating outside of the precentral gyrus, whereas Penfield and Rasmussen reported much higher values (∼20%). Again, this difference is likely best explained with the higher stimulation intensities used by Penfield and Rasmussen that led to greater current spread to surrounding areas. Alternatively, the current study reported that responses to stimulation could be entirely intensity-dependent, as they found motor movements evoked with an intensity of 2.2 ± 0.4 mA were then inhibited with an intensity of 2.26 ± 0.5 mA. These negative motor areas (Rech et al. 2019) were never considered in earlier experiments, but have to be examined now based on the findings of Roux et al. Such a small change in electrical current can potentially activate totally contradictory motor functions. This is certainly important enough to be considered in future motor mapping studies. The work by Roux and colleagues is the first in a long time to provide the scientific community with an updated somatotopic model of the human motor homunculus. Their work bridges the ‘old’ and the ‘new’ in terms of the groundwork that people like John Hughlings Jackson, Sir Charles Sherrington and Wilder Penfield have done. Considering the meticulous subject selection, data collection and simply overall time that Roux and colleagues put into this study, it is an important piece in advancing our understanding of the organization of the brain relative to the control of movement. None. All authors have read and approved the final version of this manuscript and agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. All persons designated as authors qualify for authorship, and all those who qualify for authorship are listed. None.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,005
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,006
Score d'incertitude au seuil0,027

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,005
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0020,001
Études des sciences et des technologies0,0030,018
Communication savante0,0060,013
Science ouverte0,0020,004
Intégrité de la recherche0,0030,004
Charge utile insuffisante (le modèle a refusé de juger)0,0040,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,036
Tête enseignante GPT0,259
Écart entre enseignants0,223 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2020
Routes d'admission1
Résumé présentoui

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