Articles with "activation patterns" as a keyword



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Dissociated modulations of multivoxel activation patterns in the ventral and dorsal visual pathways by the temporal dynamics of stimuli

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Published in 2020 at "Brain and Behavior"

DOI: 10.1002/brb3.1673

Abstract: Previous studies suggested temporal limitations of visual object identification in the ventral pathway. Moreover, multivoxel pattern analyses (MVPA) of fMRI activation have shown reliable encoding of various object categories including faces and tools in the… read more here.

Keywords: dissociated modulations; multivoxel activation; modulations multivoxel; activation patterns ... See more keywords
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Activation patterns of the dorsal medial prefrontal cortex and frontal pole predict individual differences in decision impulsivity

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Published in 2020 at "Brain Imaging and Behavior"

DOI: 10.1007/s11682-020-00270-1

Abstract: Intertemporal choice refers to decisions that need to weigh different rewards at different time points in the future. Decision impulsivity manifests in the tendency of choosing smaller immediate options rather than larger later ones. Previous… read more here.

Keywords: decision; activation patterns; patterns dorsal; decision impulsivity ... See more keywords
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Time-resolved effective connectivity in task fMRI: Psychophysiological interactions of Co-Activation patterns

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Published in 2020 at "NeuroImage"

DOI: 10.1016/j.neuroimage.2020.116635

Abstract: Investigating context-dependent modulations of Functional Connectivity (FC) with functional magnetic resonance imaging is crucial to reveal the neurological underpinnings of cognitive processing. Most current analysis methods hypothesise sustained FC within the duration of a task,… read more here.

Keywords: seed; task; connectivity; psychophysiological interactions ... See more keywords
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Electrocorticography reveals spatiotemporal neuronal activation patterns of verbal fluency in patients with epilepsy

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Published in 2020 at "Neuropsychologia"

DOI: 10.1016/j.neuropsychologia.2020.107386

Abstract: Verbal fluency is commonly used to evaluate cognitive dysfunction in a variety of neuropsychiatric diseases, yet the neurobiology underlying performance of this task is incompletely understood. Electrocorticography (ECoG) provides a unique opportunity to investigate temporal… read more here.

Keywords: electrocorticography reveals; fluency; verbal fluency; activation patterns ... See more keywords
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Extracting and Classifying Spatial Muscle Activation Patterns in Forearm Flexor Muscles Using High-Density Electromyogram Recordings

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Published in 2019 at "International journal of neural systems"

DOI: 10.1142/s0129065718500259

Abstract: The human hand is capable of producing versatile yet precise movements largely owing to the complex neuromuscular systems that control our finger movement. This study seeks to quantify the spatial activation patterns of the forearm… read more here.

Keywords: activation; patterns forearm; activation patterns; flexor muscles ... See more keywords
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Muscle Activation Patterns During Different Squat Techniques

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Published in 2017 at "Journal of Strength and Conditioning Research"

DOI: 10.1519/jsc.0000000000001323

Abstract: Abstract Slater, LV, and Hart, JM. Muscle activation patterns during different squat techniques. J Strength Cond Res 31(3): 667–676, 2017—Bilateral squats are frequently used exercises in sport performance programs. Lower extremity muscle activation may change… read more here.

Keywords: muscle activation; activation patterns; activation; patterns different ... See more keywords
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Muscle Activation Patterns Are More Constrained and Regular in Treadmill Than in Overground Human Locomotion

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Published in 2020 at "Frontiers in Bioengineering and Biotechnology"

DOI: 10.3389/fbioe.2020.581619

Abstract: The use of motorized treadmills as convenient tools for the study of locomotion has been in vogue for many decades. However, despite the widespread presence of these devices in many scientific and clinical environments, a… read more here.

Keywords: regular treadmill; muscle; locomotion; treadmill ... See more keywords
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Evaluating Muscle Synergies With EMG Data and Physics Simulation in the Neurorobotics Platform

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Published in 2022 at "Frontiers in Neurorobotics"

DOI: 10.3389/fnbot.2022.856797

Abstract: Although we can measure muscle activity and analyze their activation patterns, we understand little about how individual muscles affect the joint torque generated. It is known that they are controlled by circuits in the spinal… read more here.

Keywords: physics; muscle; neurorobotics platform; activation patterns ... See more keywords
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Resting-State Co-activation Patterns as Promising Candidates for Prediction of Alzheimer’s Disease in Aged Mice

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Published in 2020 at "Frontiers in Neural Circuits"

DOI: 10.3389/fncir.2020.612529

Abstract: Alzheimer’s disease (AD), a neurodegenerative disorder marked by accumulation of extracellular amyloid-β (Aβ) plaques leads to progressive loss of memory and cognitive function. Resting-state fMRI (RS-fMRI) studies have provided links between these two observations in… read more here.

Keywords: state; alzheimer disease; mice; activation patterns ... See more keywords
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Muscle activation patterns and muscle synergies reflect different modes of coordination during upper extremity movement

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Published in 2023 at "Frontiers in Human Neuroscience"

DOI: 10.3389/fnhum.2022.912440

Abstract: A core issue in motor control is how the central nervous system generates and selects the muscle activation patterns necessary to achieve a variety of behaviors and movements. Extensive studies have verified that it is… read more here.

Keywords: movement; muscle; muscle activation; upper extremity ... See more keywords
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When the Whole Is Less Than the Sum of Its Parts: Maximum Object Category Information and Behavioral Prediction in Multiscale Activation Patterns

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Published in 2022 at "Frontiers in Neuroscience"

DOI: 10.3389/fnins.2022.825746

Abstract: Neural codes are reflected in complex neural activation patterns. Conventional electroencephalography (EEG) decoding analyses summarize activations by averaging/down-sampling signals within the analysis window. This diminishes informative fine-grained patterns. While previous studies have proposed distinct statistical… read more here.

Keywords: object category; combined features; multiscale; category ... See more keywords