Pocket Atlas of Sectional Anatomy, Volume I: Head and Neck

Möller, Torsten B.; Reif, Emil

doi:10.1055/b-005-148899

Cited by 5 publications

(5 citation statements)

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“…For this study, the MCA perfusion territories were identified based on atlases defined within healthy individuals only (Moeller & Reif, 2013).…”

Section: Discussionmentioning

confidence: 99%

“…This was performed by defining a left and right MCA perfusion territory mask on the MNI 152 1 mm 3 resolution standard-space T 1 -weighted structural template image (Montreal Neurological Institute, Canada). The regions were manually drawn slice by slice on the T 1 -weighted image using established atlas definitions as a reference (Moeller & Reif, 2013). The mask was then nonlinearly coregistered to each subject's T 1 -weighted anatomical image (FNIRT, FSL).…”

Section: Calculating Cerebral Blood Flow From Asl (Cbf Asl )mentioning

confidence: 99%

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Assessment of cerebral blood flow with magnetic resonance imaging in children with sickle cell disease: A quantitative comparison with transcranial Doppler ultrasonography

et al. 2017

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“…For this study, the MCA perfusion territories were identified based on atlases defined within healthy individuals only (Moeller & Reif, 2013).…”

Section: Discussionmentioning

confidence: 99%

Section: Calculating Cerebral Blood Flow From Asl (Cbf Asl )mentioning

confidence: 99%

Assessment of cerebral blood flow with magnetic resonance imaging in children with sickle cell disease: A quantitative comparison with transcranial Doppler ultrasonography

et al. 2017

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“…According to the model's nodes, an adjacency matrix was coded by assigning every pair a value of 1 if the brain regions were in physical contact, and a value of 0 if they were not. The list of brain regions that were included in the model (Table 1), as well as the physical interactions between them, were obtained from Damasio (2005), Ribas et al (2006), Ribas (2010), Moeller and Reif (2013), and ten Donkelaar et al (2018). In other words, the current model is based on previously available information on the modern human brain as commonly presented in anatomical atlases, rather than a primary sample of brain specimens.…”

Section: Methodsmentioning

confidence: 99%

A comprehensive anatomical network analysis of human brain topology

Schuurman

Bruner

2023

Journal of Anatomy

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A network approach to the macroscopic anatomy of the human brain can be used to model physical interactions among regions in order to study their topological properties, as well as the topological properties of the overall system. Here, a comprehensive model of human brain topology is presented, based on traditional macroanatomical divisions of the whole brain, which includes its subcortical regions. The aim was to localise anatomical elements that are essential for the geometric balance of the brain, as to identify underlying phenotypic patterns of spatial arrangement and understand how these patterns may influence brain morphology in ontogeny and phylogeny. The model revealed that the parahippocampal gyrus, the anterior lobe of the cerebellum and the ventral portion of the midbrain are subjected to major topological constraints that are likely to limit or channel their morphological evolution. The present model suggests that the brain can be divided into a superior and an inferior morphological block, linked with extrinsic topological constraints imposed by the surrounding braincase. This information should be considered duly both in ontogenetic and phylogenetic studies of primate neuroanatomy.

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“…The volumetric shapes of the tibia, fibula, and foot bones, and of the TA muscle belly and tendon were carefully identified by manual segmentation (Figure 1H) using ITK-SNAP (Yushkevich et al, 2006) and an anatomical atlas as support (Möller & Reif, 2007). Slices of the agonist EDL and EHL and antagonist SOL, GM, and GL muscle bellies were segmented at regular intervals along the tibial length so that their centroidal lines of action could be outlined.…”

Section: Mri Scans Subject-specific Msk Quantities and Experimental F...mentioning

confidence: 99%

Motoneuron-driven computational muscle modelling with motor unit resolution and subject-specific musculoskeletal anatomy

Caillet

Phillips

Farina

et al. 2023

Preprint

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The computational simulation of human voluntary muscle contraction is possible with EMG-driven Hill-type models of whole muscles. Despite impactful applications in numerous fields, the neuromechanical information and the physiological accuracy such models provide remain limited because of multiscale simplifications that limit comprehensive description of muscle internal dynamics during contraction. We addressed this limitation by developing a novel motoneuron-driven neuromuscular model, that describes the force-generating dynamics of a population of individual motor units, each of which was described with a Hill-type actuator and controlled by a dedicated experimentally derived motoneuronal control. In forward simulation of human voluntary muscle contraction, the model transforms a vector of motoneuron spike trains decoded from high-density EMG signals into a vector of motor unit forces that sum into the predicted whole muscle force. The control of motoneurons provides comprehensive and separate descriptions of the dynamics of motor unit recruitment and discharge and decode the subject's intention. The neuromuscular model is subject-specific, muscle-specific, includes an advanced and physiological description of motor unit activation dynamics, and is validated against an experimental muscle force. Accurate force predictions were obtained when the vector of experimental neural controls was representative of the discharge activity of the complete motor unit pool. This was achieved with large and dense grids of EMG electrodes during medium-force contractions or with computational methods that physiologically estimate the discharge activity of the motor units that were not identified experimentally. This neuromuscular model advances the state-of-the-art of neuromuscular modelling, bringing together the fields of motor control and musculoskeletal modelling, and finding applications in neuromuscular control and human-machine interfacing research.

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Pocket Atlas of Sectional Anatomy, Volume I: Head and Neck

Cited by 5 publications

References 0 publications

Assessment of cerebral blood flow with magnetic resonance imaging in children with sickle cell disease: A quantitative comparison with transcranial Doppler ultrasonography

Assessment of cerebral blood flow with magnetic resonance imaging in children with sickle cell disease: A quantitative comparison with transcranial Doppler ultrasonography

A comprehensive anatomical network analysis of human brain topology

Motoneuron-driven computational muscle modelling with motor unit resolution and subject-specific musculoskeletal anatomy

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