Principles and open questions in functional brain network reconstruction
O Korhonen, M Zanin, D Papo - Human Brain Mapping, 2021 - Wiley Online Library
Graph theory is now becoming a standard tool in system‐level neuroscience. However,
endowing observed brain anatomy and dynamics with a complex network representation …
endowing observed brain anatomy and dynamics with a complex network representation …
[HTML][HTML] The frequency dimension of fMRI dynamic connectivity: Network connectivity, functional hubs and integration in the resting brain
WH Thompson, P Fransson - Neuroimage, 2015 - Elsevier
The large-scale functional MRI connectome of the human brain is composed of multiple
resting-state networks (RSNs). However, the network dynamics, such as integration and …
resting-state networks (RSNs). However, the network dynamics, such as integration and …
Intrinsic frequencies of the resting-state fMRI signal: the frequency dependence of functional connectivity and the effect of mode mixing
The frequency characteristics of the resting-state BOLD fMRI (rs-fMRI) signal are of
increasing scientific interest, as we discover more frequency-specific biological …
increasing scientific interest, as we discover more frequency-specific biological …
Abnormal neural activity in different frequency bands in parkinson's disease with mild cognitive impairment
S Rong, P Zhang, C He, Y Li, X Li, R Li… - Frontiers in Aging …, 2021 - frontiersin.org
Background: Abnormal spontaneous neural activity is often found in patients with
Parkinson's disease with mild cognitive impairment (PD-MCI). However, the frequency …
Parkinson's disease with mild cognitive impairment (PD-MCI). However, the frequency …
Frequency-specific changes of resting brain activity in Parkinson's disease: a machine learning approach
Z Tian, L Qian, L Fang, X Peng, X Zhu, M Wu, W Wang… - Neuroscience, 2020 - Elsevier
The application of resting state functional MRI (RS-fMRI) in Parkinson's disease (PD) was
widely performed using standard statistical tests, however, the machine learning (ML) …
widely performed using standard statistical tests, however, the machine learning (ML) …
Functional connectivity changes in multiple‐frequency bands in acute basal ganglia ischemic stroke patients: A machine learning approach
J Li, L Cheng, S Chen, J Zhang, D Liu, Z Liang… - Neural …, 2022 - Wiley Online Library
Purpose. Several functional magnetic resonance imaging (fMRI) studies have investigated
the resting‐state functional connectivity (rs‐FC) changes in the primary motor cortex (M1) in …
the resting‐state functional connectivity (rs‐FC) changes in the primary motor cortex (M1) in …
The profiles of non-stationarity and non-linearity in the time series of resting-state brain networks
The linearity and stationarity of fMRI time series need to be understood due to their important
roles in the choice of approach for brain network analysis. In this paper, we investigated the …
roles in the choice of approach for brain network analysis. In this paper, we investigated the …
Resting state functional connectivity of the ventral auditory pathway in musicians with absolute pitch
SG Kim, TR Knösche - Human Brain Mapping, 2017 - Wiley Online Library
Absolute pitch (AP) is the ability to recognize pitch chroma of tonal sound without external
references, providing a unique model of the human auditory system (Zatorre: Nat Neurosci 6 …
references, providing a unique model of the human auditory system (Zatorre: Nat Neurosci 6 …
Functional brain abnormalities in major depressive disorder using the Hilbert-Huang transform
Major depressive disorder is a common disease worldwide, which is characterized by
significant and persistent depression. Non-invasive accessory diagnosis of depression can …
significant and persistent depression. Non-invasive accessory diagnosis of depression can …
Frequency specific brain networks in Parkinson's disease and comorbid depression
The topological organization underlying the human brain was extensively investigated using
resting-state functional magnetic resonance imaging, focusing on a low frequency of signal …
resting-state functional magnetic resonance imaging, focusing on a low frequency of signal …