Results 321 to 330 of about 1,007,015 (362)
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
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Abstract Modularity and integration are key developmental properties and have remained central in evo‐devo research because of how they relate to evolvability. While modularity and integration have commonly been assessed with landmark‐based geometric morphometrics (GMM), other methods such as anatomical network analysis (AnNA) are increasingly being ...
Kevin K. Duclos+4 more
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This study characterizes a multidrug‐resistant and strong biofilm‐forming Enterococcus faecalis strain obtained from a shrimp sample in Bangladesh. ABSTRACT Enterococcus faecalis is known for its ability to form strong biofilms and its role as an opportunistic pathogen. In this study, we screened and characterized a multidrug‐resistant (MDR) and strong
Md. Ashek Ullah+4 more
wiley +1 more source
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The Brain's Default Mode Network
Annual Review of Neuroscience, 2015The brain's default mode network consists of discrete, bilateral and symmetrical cortical areas, in the medial and lateral parietal, medial prefrontal, and medial and lateral temporal cortices of the human, nonhuman primate, cat, and rodent brains.
M. Raichle
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Default Mode Network Activity and Connectivity in Psychopathology
Annual Review of Clinical Psychology, 2012Neuropsychiatric disorders are associated with abnormal function of the default mode network (DMN), a distributed network of brain regions more active during rest than during performance of many attention-demanding tasks and characterized by a high degree of functional connectivity (i.e., temporal correlations between brain regions).
Judith M. Ford, Susan Whitfield-Gabrieli
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Gefangen im Default Mode Network?
CNE Pflegemanagement, 2023Zusammenfassung Das Gehirn funktioniert nicht immer so, wie wir es uns wünschen. Kopfkino und die innere Stimme funken manchmal unpassend dazwischen. Aber: Wir haben es selbst in der Hand, das richtige neuronale Netwerk zu aktivieren und so entspannt und
Margit Hertlein
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Identification of the Default Mode Network with electroencephalography
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015The Default Mode Network (DMN) is a brain resting-state network that is closely linked to consciousness and neuropsychiatric disorders. The DMN is routinely identified with functional magnetic resonance imaging (fMRI) or positron emission tomography (PET). However, both of these methods impose restrictions on the groups of patients that can be examined.
Moritz Grosse-Wentrup+3 more
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Modulating the Default Mode Network Using Hypnosis
International Journal of Clinical and Experimental Hypnosis, 2012Debate regarding the neural basis of the hypnotic state continues, but a recent hypothesis suggests that it may produce alterations in the default mode network (DMN). DMN describes a network of brain regions more active during low-demand compared to high-demand task conditions and has been linked to processes such as task-independent thinking, episodic
Deeley, Quinton+6 more
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Functional Heterogeneity in the Default Mode Network Edges
Brain Connectivity, 2015The brain's default mode network (DMN) has attracted tremendous attention, but its topology still lacks a substantial and operative definition. At the same time, recent efforts based on coactivation analysis suggest significant involvement of concomitant activation as an origin of synchronous activity, which is the basis of the network detection ...
Hidenao Fukuyama, Toshihiko Aso
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Temporal and Spectral Signatures of the Default Mode Network
2014The existence of a structured pattern of neuronal activity in the brain at rest has been consistently reported in the neuroscience literature. Multiple techniques, such as fMRI, MEG and EEG, showed that spontaneous, slow fluctuations of cerebral activity are temporally coherent within distributed functional networks resembling those evoked by sensory ...
DE PASQUALE, FRANCESCO, MARZETTI, Laura
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