scholarly journals A note on the phase locking value and its properties

NeuroImage ◽  
2013 ◽  
Vol 74 ◽  
pp. 231-244 ◽  
Author(s):  
Sergul Aydore ◽  
Dimitrios Pantazis ◽  
Richard M. Leahy
Keyword(s):  
Phase Locking ◽  
Phase Locking Value

scholarly journals Electroencephalogram Source Imaging and Brain Network Based Natural Grasps Decoding

2021 ◽  
Vol 15 ◽  
Author(s):  
Baoguo Xu ◽  
Leying Deng ◽  
Dalin Zhang ◽  
Muhui Xue ◽  
Huijun Li ◽  
...  
Keyword(s):  
Parietal Lobe ◽  
Phase Locking ◽  
Brain Network ◽  
Internal Communication ◽  
Peak Performance ◽  
Source Imaging ◽  
Planning Stage ◽  
Grand Average ◽  
Reach And Grasp ◽  
Phase Locking Value

Studying the decoding process of complex grasping movement is of great significance to the field of motor rehabilitation. This study aims to decode five natural reach-and-grasp types using sources of movement-related cortical potential (MRCP) and investigate their difference in cortical signal characteristics and network structures. Electroencephalogram signals were gathered from 40 channels of eight healthy subjects. In an audio cue-based experiment, subjects were instructed to keep no-movement condition or perform five natural reach-and-grasp movements: palmar, pinch, push, twist and plug. We projected MRCP into source space and used average source amplitudes in 24 regions of interest as classification features. Besides, functional connectivity was calculated using phase locking value. Six-class classification results showed that a similar grand average peak performance of 49.35% can be achieved using source features, with only two-thirds of the number of channel features. Besides, source imaging maps and brain networks presented different patterns between each condition. Grasping pattern analysis indicated that the modules in the execution stage focus more on internal communication than in the planning stage. The former stage was related to the parietal lobe, whereas the latter was associated with the frontal lobe. This study demonstrates the superiority and effectiveness of source imaging technology and reveals the spread mechanism and network structure of five natural reach-and-grasp movements. We believe that our work will contribute to the understanding of the generation mechanism of grasping movement and promote a natural and intuitive control of brain–computer interface.

scholarly journals Analysis of functional brain connections for positive–negative emotions using phase locking value

2017 ◽  
Vol 11 (6) ◽  
pp. 487-500 ◽  
Author(s):  
Yasar Dasdemir ◽  
Esen Yildirim ◽  
Serdar Yildirim
Keyword(s):  
Phase Locking ◽  
Negative Emotions ◽  
Functional Brain ◽  
Phase Locking Value ◽  
Brain Connections

Local temporal common spatial patterns modulated with phase locking value

2020 ◽  
Vol 59 ◽  
pp. 101882 ◽  
Author(s):  
Zhenhua Yu ◽  
Tian Ma ◽  
Na Fang ◽  
Haixian Wang ◽  
Zhanli Li ◽  
...  
Keyword(s):  
Spatial Patterns ◽  
Phase Locking ◽  
Common Spatial Patterns ◽  
Phase Locking Value

scholarly journals Preservation of electrophysiological functional connectivity after partial corpus callosotomy: case report

2018 ◽  
Vol 22 (2) ◽  
pp. 214-219 ◽  
Author(s):  
Kaitlyn Casimo ◽  
Fabio Grassia ◽  
Sandra L. Poliachik ◽  
Edward Novotny ◽  
Andrew Poliakov ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Corpus Callosum ◽  
Seizure Activity ◽  
Diffusion Tensor ◽  
Phase Locking ◽  
Corpus Callosotomy ◽  
Left And Right ◽  
Phase Locking Value ◽  
Anatomical Mri ◽  
Electrophysiological Methods

Prior studies of functional connectivity following callosotomy have disagreed in the observed effects on interhemispheric functional connectivity. These connectivity studies, in multiple electrophysiological methods and functional MRI, have found conflicting reductions in connectivity or patterns resembling typical individuals. The authors examined a case of partial anterior corpus callosum connection, where pairs of bilateral electrocorticographic electrodes had been placed over homologous regions in the left and right hemispheres. They sorted electrode pairs by whether their direct corpus callosum connection had been disconnected or preserved using diffusion tensor imaging and native anatomical MRI, and they estimated functional connectivity between pairs of electrodes over homologous regions using phase-locking value. They found no significant differences in any frequency band between pairs of electrodes that had their corpus callosum connection disconnected and those that had an intact connection. The authors’ results may imply that the corpus callosum is not an obligatory mediator of connectivity between homologous sites in opposite hemispheres. This interhemispheric synchronization may also be linked to disruption of seizure activity.

scholarly journals Link Prediction Investigation of Dynamic Information Flow in Epilepsy

2018 ◽  
Vol 2018 ◽  
pp. 1-13
Author(s):  
Yan He ◽  
Fan Yang ◽  
Yunli Yu ◽  
Celso Grebogi
Keyword(s):  
Link Prediction ◽  
Focal Epilepsy ◽  
Phase Locking ◽  
Brain Regions ◽  
Performance Comparison ◽  
Brain Disorder ◽  
Common Neighbor ◽  
Comparison Results ◽  
Ictal Activity ◽  
Phase Locking Value

As a brain disorder, epilepsy is characterized with abnormal hypersynchronous neural firings. It is known that seizures initiate and propagate in different brain regions. Long-term intracranial multichannel electroencephalography (EEG) reflects broadband ictal activity under seizure occurrence. Network-based techniques are efficient in discovering brain dynamics and offering finger-print features for specific individuals. In this study, we adopt link prediction for proposing a novel workflow aiming to quantify seizure dynamics and uncover pathological mechanisms of epilepsy. A dataset of EEG signals was enrolled that recorded from 8 patients with 3 different types of pharmocoresistant focal epilepsy. Weighted networks are obtained from phase locking value (PLV) in subband EEG oscillations. Common neighbor (CN), resource allocation (RA), Adamic-Adar (AA), and Sorenson algorithms are brought in for link prediction performance comparison. Results demonstrate that RA outperforms its rivals. Similarity, matrix was produced from the RA technique performing on EEG networks later. Nodes are gathered to form sequences by selecting the ones with the highest similarity. It is demonstrated that variations are in accordance with seizure attack in node sequences of gamma band EEG oscillations. What is more, variations in node sequences monitor the total seizure journey including its initiation and termination.

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