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Enregistrement W2049595386 · doi:10.1155/2013/176183

Physiology and Plasticity of Interhemispheric Connections

2013· editorial· en· W2049595386 sur OpenAlexaff
Matteo Caleo, Giorgio M. Innocenti, Maurice Ptito

Notice bibliographique

RevueNeural Plasticity · 2013
Typeeditorial
Langueen
DomaineNeuroscience
ThématiqueNeural dynamics and brain function
Établissements canadiensUniversité de Montréal
Organismes subventionnairesnon disponible
Mots-clésNeuroscienceCorpus callosumPsychologyAnatomySet (abstract data type)BiologyCognitive scienceComputer science

Résumé

récupéré en direct d'OpenAlex

The corpus callosum (CC for aficionados) is the largest fiber bundle in the brain and establishes connections between the hemispheres, and predominantly, but not solely, between the cortical areas. Functionally mysterious for a long time, it shared with the pineal gland the honor of being considered the site of the soul [1]. The work on split brain in animals and humans performed by Gazzaniga, Mayer, Trevarthen, and Sperry, motivating the Nobel Prize to the latter, brought the CC on the stage of forefront international research. In spite of this, several questions remained open. What precisely is the function of the CC? What are the cellular and molecular mechanisms that persuade a set of cortical axons to take a route to the contralateral hemisphere? Which signals are responsible for the topography of callosal connections? Is the CC modifiable (plastic) in the adult brain? These questions are addressed in many recent studies and are represented by the papers collected in this issue. M. Fabri and G. Polonara provide a functional map of callosal topography by charting the BOLD signal evoked in callosal axons by taste, tactile, auditory, and visual stimuli and by motor tasks. This approach is at the frontier of what is usually obtained from BOLD signals. It provides results that are compatible with what is predicted by anatomy in the case of axons originating from primary areas, but it also shows activations that could not have been predicted from anatomy, probably due to axons originating in multisensory areas. K. E. Schmidt finds that, in the visual cortex, CC connections have a multiplicative shift of the responses and this is an interesting finding that goes beyond the old debate of whether callosal connections are excitatory or inhibitory. The finding is placed within the frame of the historical question of the general nature of callosal connections. Hubel and Wiesel [2] were the first to propose that callosal connections are akin to intracortical connections, which have been “stretched” between the hemispheres. They wrote “…a special set of connections exists for dealing with the midline representation of the visual fields. These fibers might be expected to serve the same functions as intracortical fibers linking cells with receptive fields clustered in other, more outlying parts of the visual fields.” and the same concept was taken up some more times by others. The importance of the issue cannot be overemphasized. If indeed CC connections are like lateral or other intrahemispheric connections, they provide a general and advantageous model for the study of cortical connectivity. Callosal axons can be sectioned (as in the work quoted above) or reversibly inactivated far more easily and cleanly than most other lateral or intrahemispheric connections. Callosal axons can be studied in isolation at the cellular and molecular levels. Pathological alterations of callosal connections can herald conditions of more general cortical misconnectivity (discussed in [3]). If the nature of CC connections is indeed as reiterated by Schmidt, most of the papers collected in this issue can be read in a broader and fundamental framework. V. Beaule et al. focus on the role of CC connections in disentangling bilateral manual movements. From juvenile, to adult, to pathological conditions, the degrees of manual independence are differently modulated and this may be due to inhibitory action of callosal connections. Interestingly, inhibition between the hemispheres has been repeatedly reported for the motor functions, particularly in man, although it has been observed in the visual cortex as well, where it seems to be quickly overridden by the excitatory interactions [4]. Over the last 30 years, developmental work on the CC has focused on three main themes: (i) the molecular mechanisms of axonal guidance between the hemispheres, (ii) the establishment of topographical connections, and (iii) the role of activity in the development of the connections. M. Nishikimi et al. review the first of the above themes, with special attention to the midline structures and neighboring axons. They also describe alterations in these navigational mechanisms that result in callosal dysgenesis in humans and mice. Y. Tagawa and T. Hirano review the last of the above issues and provide information on the molecular mechanisms by which spontaneous activity sculpts callosal projections. They conclude that both presynaptic and postsynaptic neuronal activities are critically involved in callosal axon development, and discuss the intracellular signaling pathways that work downstream of neuronal firing. It may be added that the overproduction and elimination of axons in development are central to the second of the themes above and continue to provide testable hypotheses on the nature of developmental plasticity of cortical connectivity [5]. Also, not only the topography of the connections but also the callosal axons themselves differentiate in development with axons from different areas acquiring different diameters and lengths, and therefore, presumably, generating specific conduction delays between the hemispheres [6]. Noninvasive structural and functional imaging techniques are taking an increasingly large share of brain studies, but this raises the question of how novel and more traditional, firmly established methodologies map onto each other. The CC is practically unavoidable in non-invasive structural studies, and, therefore, it can provide some general answers because of its central position in the brain, its relative “simplicity” and the amount of anatomical and functional information available. J. F. Olavarria et al. relate the critical period of callosal development, as defined by the reorganization of visual callosal connections caused by early enucleation, to the development of water diffusion parameters. This is important new information that complements the view that callosal plasticity relates to axonal maturation and differentiation. M. G. Knyazeva places callosal maturation as estimated by MRI and coherence EEG analysis, within the context of excitatory and inhibitory interactions between the hemispheres. P. Mathew et al. report data in preterm infants showing a relation between motor-specific scores and fractional anisotropy of anterior midbody of CC, the region where axons interconnecting motor areas course. Finally N. Takeuchi et al. introduce the concept of adult CC plasticity that might be elicited by trans-cranial stimulation in humans. They also discuss the use of brain stimulation techniques as a possible rehabilitation strategy to reinstate interhemispheric balance in patients with stroke.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,006
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,316
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,006
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,015
Tête enseignante GPT0,243
Écart entre enseignants0,227 · 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 tête enseignante, pas un consensus.

Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

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

En bref

Citations6
Publié2013
Routes d'admission1
Résumé présentoui

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