Cargando…

Dynamic Connectivity Analysis Using Adaptive Window Size

In this paper, we propose a new method to study and evaluate the time-varying brain network dynamics. The proposed RICI-imCPCC method (relative intersection of confidence intervals for the imaginary component of the complex Pearson correlation coefficient) is based on an adaptive window size and the...

Descripción completa

Detalles Bibliográficos
Autores principales:	Šverko, Zoran, Vrankic, Miroslav, Vlahinić, Saša, Rogelj, Peter
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9320138/ https://www.ncbi.nlm.nih.gov/pubmed/35890842 http://dx.doi.org/10.3390/s22145162

Ejemplares similares

Complex Pearson Correlation Coefficient for EEG Connectivity Analysis
por: Šverko, Zoran, et al.
Publicado: (2022)

EEG-Validated Photobiomodulation Treatment of Dementia—Case Study
por: Vrankic, Miroslav, et al.
Publicado: (2022)

Sparse Time-Frequency Distribution Reconstruction Using the Adaptive Compressed Sensed Area Optimized with the Multi-Objective Approach
por: Jurdana, Vedran, et al.
Publicado: (2023)

Single-scale time-dependent window-sizes in sliding-window dynamic functional connectivity analysis: A validation study
por: Zhuang, Xiaowei, et al.
Publicado: (2020)

Optimising Time-Frequency Distributions: A Surface Metrology Approach
por: Malnar, Damir, et al.
Publicado: (2023)

An Efficient Adaptive Window Size Selection Method for Improving Spectrogram Visualization
por: Nisar, Shibli, et al.
Publicado: (2016)

Method for Automatic Estimation of Instantaneous Frequency and Group Delay in Time–Frequency Distributions with Application in EEG Seizure Signals Analysis
por: Jurdana, Vedran, et al.
Publicado: (2023)

Improving R Peak Detection in ECG Signal Using Dynamic Mode Selected Energy and Adaptive Window Sizing Algorithm with Decision Tree Algorithm
por: Abdullah Al, Zubaer Md., et al.
Publicado: (2021)

Assessment of dynamic functional connectivity in resting‐state fMRI using the sliding window technique
por: Savva, Antonis D., et al.
Publicado: (2019)

Neural adaptation and fractional dynamics as a window to underlying neural excitability
por: Lundstrom, Brian Nils, et al.
Publicado: (2023)

The backbone network of dynamic functional connectivity
por: Asadi, Nima, et al.
Publicado: (2021)

How Sensitive Are Conventional MEG Functional Connectivity Metrics With Sliding Windows to Detect Genuine Fluctuations in Dynamic Functional Connectivity?
por: Liuzzi, Lucrezia, et al.
Publicado: (2019)

Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?
por: Hindriks, R., et al.
Publicado: (2016)

Window Size Impact in Human Activity Recognition
por: Banos, Oresti, et al.
Publicado: (2014)

The optimal window size for analysing longitudinal networks
por: Uddin, Shahadat, et al.
Publicado: (2017)

Correction: Neural adaptation and fractional dynamics as a window to underlying neural excitability
por: Lundstrom, Brian Nils, et al.
Publicado: (2023)

Transient windows for connectivity in a changing world
por: Zeigler, Sara L, et al.
Publicado: (2014)

Pulsformanalyse und Zeitaufloesung fuer eine Driftkammer mit langen Driftstrecken im Magnetfeld
por: Sverko, I
Publicado: (1986)

Adaptive Dynamics of Regulatory Networks: Size Matters
por: Repsilber, Dirk, et al.
Publicado: (2009)

Adaptive explanations for sensitive windows in development
por: Fawcett, Tim W, et al.
Publicado: (2015)

Critical Windows of Prenatal Exposure to Cadmium and Size at Birth
por: Cheng, Lu, et al.
Publicado: (2017)

Adaptive temporal patterns of echolocation and flight behaviors used to fly through varied-sized windows by 2 species of high duty cycle bats
por: Ding, Jianan, et al.
Publicado: (2022)

DFA as a window into postural dynamics supporting task performance: does choice of step size matter?
por: Nordbeck, Patric C., et al.
Publicado: (2023)

Evaluating the Window Size’s Role in Automatic EEG Epilepsy Detection
por: Christou, Vasileios, et al.
Publicado: (2022)

Analytical methods for PCBs and organochlorine pesticides in environmental monitoring and surveillance: a critical appraisal
por: Muir, Derek, et al.
Publicado: (2006)

The size of the attentional window when measured by the pupillary response to light
por: Tkacz-Domb, Shira, et al.
Publicado: (2018)

Dynamic Aberration Correction for Conformal Window of High-Speed Aircraft Using Optimized Model-Based Wavefront Sensorless Adaptive Optics
por: Dong, Bing, et al.
Publicado: (2016)

Windowed Correlation: A Suitable Tool for Providing Dynamic fMRI-Based Functional Connectivity Neurofeedback on Task Difficulty
por: Zilverstand, Anna, et al.
Publicado: (2014)

Beat-wise segmentation of electrocardiogram using adaptive windowing and deep neural network
por: Niroshana, S. M. Isuru, et al.
Publicado: (2023)

Using Windows 8
por: Bruzzese, J Peter, et al.
Publicado: (2013)

An Entropy Analysis-Based Window Size Optimization Scheme for Merging LiDAR Data Frames
por: Kim, Taesik, et al.
Publicado: (2022)

The Focal Attention Window Size Explains Letter Substitution Errors in Reading
por: Daini, Roberta, et al.
Publicado: (2021)

Setting strategy of delay-optimization-oriented SMAC contention window size
por: Rao, Yuan, et al.
Publicado: (2017)

Algebraic Topology of Multi-Brain Connectivity Networks Reveals Dissimilarity in Functional Patterns during Spoken Communications
por: Tadić, Bosiljka, et al.
Publicado: (2016)

An Improved Bluetooth Indoor Positioning Method Using Dynamic Fingerprint Window
por: Ruan, Ling, et al.
Publicado: (2020)

Using Microsoft Windows 7
por: Bruzzese, J Peter, et al.
Publicado: (2010)

Templated fabrication of hollow nanospheres with ‘windows’ of accurate size and tunable number
por: Xie, Duan, et al.
Publicado: (2015)

Using the maximum clustering heterogeneous set-proportion to select the maximum window size for the spatial scan statistic
por: Wang, Wei, et al.
Publicado: (2020)

A Comparative Study of Window Size and Channel Arrangement on EEG-Emotion Recognition Using Deep CNN
por: Keelawat, Panayu, et al.
Publicado: (2021)

Adaptive windowing based recurrent neural network for drift adaption in non-stationary environment
por: Suryawanshi, Shubhangi, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_g18jmhduhfcsd86cdq59mr0vcc