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Enregistrement W2165316145 · doi:10.1097/jes.0b013e31817bf8e8

Scientific Insight that Will Guide Future Study of Visual Regulation of Human Locomotion - A Testament to the Contribution of Dr. Aftab Patla

2008· review· en· W2165316145 sur OpenAlexaffabout
E. Paul Zehr

Notice bibliographique

RevueExercise and Sport Sciences Reviews · 2008
Typereview
Langueen
DomaineNeuroscience
ThématiqueMotor Control and Adaptation
Établissements canadiensUniversity of Victoria
Organismes subventionnairesnon disponible
Mots-clésKinesiologyHuman physiologyTheme (computing)PsychologyCognitive scienceNeuroscienceCognitive psychologyComputer sciencePhysiologyBiology

Résumé

récupéré en direct d'OpenAlex

The article by Daniel S. Marigold, Ph.D., (4) (see page 145 in this issue) is a stimulating summary of our current understanding of how visual information is used in the feedback and feed-forward control of human locomotion. The Marigold review was written in memory of Aftab Patla, Ph.D., (1954-2007), former supervisor of Dr. Marigold. Dr. Patla succumbed to an aggressive brain tumor on January 29, 2007, 8 months after the initial diagnosis. He was a professor in the Department of Kinesiology at the University of Waterloo. The main theme and focus of Dr. Patla's more than 200 scientific contributions across his career was the regulation and control of human locomotion. Throughout his distinguished academic career, Dr. Patla addressed issues related to determining the following: what aspect of the locomotor patterns are preplanned and stored within the central nervous system, the regulatory role of sensory information in shaping the basic locomotor patterns in "cluttered" environments, and the effects of development and aging on the expression of locomotor behaviors. Dr. Patla incorporated experiment and modeling to provide deep insight into important problems related to gait and posture. He also made use of methodologies from biomechanics, neurophysiology, motor behavior, exercise physiology, mathematics, and computer modeling. Dr. Patla was an ardent supporter and key contributor to the field of kinesiology and human movement science. Many of Dr. Patla's most significant contributions were in the area of the generation and regulation of the human locomotor pattern by feedback. As early as 1985, he used data from a reduced cat preparation combined with mathematical modeling to address the complexity of a multilevel locomotor central pattern generator (CPG) (9). In the article, he argued that the locomotor CPG should be considered to have three subcomponents: an oscillator for basic rhythm generation, interneuronal layers for shaping the pattern to be produced, and weighting functions for each muscle such that the overall walking pattern is appropriately generated across a range of speeds. The article presaged what now constitutes a hot and burgeoning area in motor control neuroscience (see (5)). The use of afferent feedback to shape and regulate the locomotor pattern was also a key early contribution of Dr. Patla. In three important publications, he addressed the issues of phase- and task-dependent modulation of reflex amplitude (1,2,8) that remains to this day a much investigated area. It was also more than 20 yr ago that the seeds of the visual regulation of human gait were planted (3). A central point of his later work was that visual input performs a crucial role as both feedback and feed-forward (i.e., "one step ahead") regulation of walking. One of his most influential and highly cited articles was published in 1991 on the issue of the use of vision in sculpting obstacle avoidance during walking (11). The influence of vision on the regulation of walking was later expounded upon in many influential articles (6,7,10,12). In his article here, Dr. Marigold highlights this main theme of Dr. Patla's research focus in recent years - that is, the issue of visual guidance of locomotion and navigation in a cluttered environment. This review describes how visual information is used on-line to plan and sculpt the locomotor pattern. Key to this article and the work of Dr. Marigold is the issue of visual cues picked up from so-called peripheral vision and automatically integrated into the overall walking pattern. This information automatically updates and refines on a continuous basis our locomotor progression throughout the environment. Dr. Marigold clearly describes how vision has an integrative role to play in meshing with other sensory modalities to ensure safe placement of the foot and leg during walking. In this way, visual information can be seen as crucial to appropriate sculpting of the locomotor pattern and, as with other modalities such as somatosensory feedback, is especially crucial in uneven terrain or cluttered environments. The article of Dr. Marigold (4) therefore summarizes and extends many of the approaches Dr. Patla took many years ago about the automatic regulation of locomotion. It serves as an excellent contribution to honor his memory while simultaneously pointing the way to the bright future his efforts have helped to secure. In closing, above all, Dr. Patla was a preeminent scientist who should be remembered as much for his significant contributions to research as for his humanity. He represents that rare combination of scientific rigor, grace, and honor to which we should all aspire. Dr. Patla mentored 22 M.Sc., 25 Ph.D., and 4 postdoctoral fellows, ensuring that the impact of this gentleman-scholar will continue to reverberate for many scientific generations. E. PAUL ZEHR Rehabilitation Neuroscience Laboratory University of Victoria Victoria, British Columbia Canada

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)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Autre devis · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,993
Score d'incertitude au seuil0,754

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0020,000
Bibliométrie0,0000,002
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
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 Opus0,079
Tête enseignante GPT0,357
Écart entre enseignants0,278 · 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.

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

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

En bref

Citations0
Publié2008
Routes d'admission2
Résumé présentoui

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