Dynamic Causal Modeling (DCM) functional Magnetic Resonance Imaging (fMRI) is a promising technique to study the connectivity among brain regions and effects of stimuli through modeling neuronal interactions from time-series neuroimaging. The aim of this study is to study characteristics of a mirror neuron system (MNS) in elderly group (age: 60-70 years old). Twenty volunteers were MRI scanned with visual stimuli to study a functional brain network. DCM was employed to determine the mechanism of mirror neuron effects. The results revealed major activated areas including precentral gyrus, inferior parietal lobule, inferior occipital gyrus, and supplementary motor area. When visual stimuli were presented, the feed-forward connectivity from vi...
AbstractDynamic causal modelling (DCM) of functional magnetic resonance imaging (fMRI) data offers n...
Neurophysiological and imaging procedures to measure brain activity, such as fMRI or EEG, are employ...
Complex processes resulting from interaction of multiple elements can rarely be understood by analyt...
Aging is the major risk factor for chronic age-related neurological diseases such as neurodegenerati...
Observational learning, or the ability to learn a new skill by watching that same skill being perfor...
Dynamic causal modeling (DCM) is an analysis technique that has been successfully used to infer abou...
International audienceThe aim of the current study is to investigate the integrity of the Mirror Neu...
Functional imaging studies of brain damaged patients offer a unique opportunity to understand how se...
In this research, we investigated the alterations in the directionality and strength of regional int...
The human brain is an incredibly complex system, consisting of billions of neurons, interacting over...
Normal aging is associated with cognitive decline and underlying brain dysfunction. Previous studies...
AbstractNormal aging is associated with cognitive decline and underlying brain dysfunction. Previous...
Dynamic causal modeling (DCM) is a method for analyzing functional magnetic resonance imaging (fMRI)...
The human mirror neuron system may be an important mechanism for social cognition, such as for under...
Physiological brain aging is characterized by a loss of synaptic contacts and neuronal apoptosis tha...
AbstractDynamic causal modelling (DCM) of functional magnetic resonance imaging (fMRI) data offers n...
Neurophysiological and imaging procedures to measure brain activity, such as fMRI or EEG, are employ...
Complex processes resulting from interaction of multiple elements can rarely be understood by analyt...
Aging is the major risk factor for chronic age-related neurological diseases such as neurodegenerati...
Observational learning, or the ability to learn a new skill by watching that same skill being perfor...
Dynamic causal modeling (DCM) is an analysis technique that has been successfully used to infer abou...
International audienceThe aim of the current study is to investigate the integrity of the Mirror Neu...
Functional imaging studies of brain damaged patients offer a unique opportunity to understand how se...
In this research, we investigated the alterations in the directionality and strength of regional int...
The human brain is an incredibly complex system, consisting of billions of neurons, interacting over...
Normal aging is associated with cognitive decline and underlying brain dysfunction. Previous studies...
AbstractNormal aging is associated with cognitive decline and underlying brain dysfunction. Previous...
Dynamic causal modeling (DCM) is a method for analyzing functional magnetic resonance imaging (fMRI)...
The human mirror neuron system may be an important mechanism for social cognition, such as for under...
Physiological brain aging is characterized by a loss of synaptic contacts and neuronal apoptosis tha...
AbstractDynamic causal modelling (DCM) of functional magnetic resonance imaging (fMRI) data offers n...
Neurophysiological and imaging procedures to measure brain activity, such as fMRI or EEG, are employ...
Complex processes resulting from interaction of multiple elements can rarely be understood by analyt...