Results 201 to 210 of about 133,930 (295)

Hypomyelination in autism-associated neuroligin-3 mutant mice impairs parvalbumin interneuron excitability, gamma oscillations, and sensory discrimination. [PDF]

open access: yesNat Commun
He Y   +18 more
europepmc   +1 more source

Bioimaging of sense organs and the central nervous system in extant fishes and reptiles in situ: A review

open access: yesThe Anatomical Record, EarlyView.
Bioimaging of the sense organs and brain of fishes and reptiles. Left panel: 3D reconstruction of the head and brain of the deep‐sea viperfish Chauliodus sloani following diceCT. Right panel: A 3D reconstruction of a 70‐day‐old embryo head of the bearded dragon Pogona vitticeps following diceCT, showing the position of the segmented brain within the ...
Shaun P. Collin   +9 more
wiley   +1 more source

Nuclear parcellation of pontine catecholaminergic and cholinergic neurons in gray parrots and pied crow brains

open access: yesThe Anatomical Record, EarlyView.
Immunohistochemical staining for tyrosine hydroxylase reveals the neurons forming the locus coeruleus complex in the pontine region of the brain of the Congo gray parrot. The appearance and parcellation of the locus coeruleus complex in birds shows many similarities, but also differences to that observed in mammals.
Pedzisai Mazengenya, Paul R. Manger
wiley   +1 more source

Neurorehabilitation and white matter repair in traumatic spinal cord injury: a dialogue between clinical and preclinical studies. [PDF]

open access: yesFront Neurol
Baldassarro VA   +10 more
europepmc   +1 more source

The Morphological Changes of Oligodendroglia During the Formation of Myelin Sheaths

open access: bronze, 1973
Yoshiro Inoue   +3 more
openalex   +2 more sources

Segmentation of cortical bone, trabecular bone, and medullary pores from micro‐CT images using 2D and 3D deep learning models

open access: yesThe Anatomical Record, EarlyView.
Abstract Computed tomography (CT) enables rapid imaging of large‐scale studies of bone, but those datasets typically require manual segmentation, which is time‐consuming and prone to error. Convolutional neural networks (CNNs) offer an automated solution, achieving superior performance on image data.
Andrew H. Lee   +3 more
wiley   +1 more source

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