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Reproducibility of graph measures derived from resting‐state MEG functional connectivity metrics in sensor and source spaces

Haatef Pourmotabbed, Amy L. de Jongh Curry, Dave F. Clarke, Elizabeth C. Tyler‐Kabara, Abbas Babajani‐Feremi

Hum Brain Mapp. 2022 Mar; 43(4): 1342–1357. Published online 2022 Jan 12. doi: 10.1002/hbm.25726

PMCID:: PMC8837594

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kCSD-python, reliable current source density estimation with quality control

Chaitanya Chintaluri, Marta Bejtka, Władysław Średniawa, Michał Czerwiński, Jakub M. Dzik, Joanna Jędrzejewska-Szmek, Daniel K. Wójcik

PLoS Comput Biol. 2024 Mar; 20(3): e1011941. Published online 2024 Mar 14. doi: 10.1371/journal.pcbi.1011941

PMCID:: PMC10965101

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Current Source Density Analysis of Electroantennogram Recordings: A Tool for Mapping the Olfactory Response in an Insect Antenna

Vincent E. J. M. Jacob

Front Cell Neurosci. 2018; 12: 287. Published online 2018 Sep 5. doi: 10.3389/fncel.2018.00287

PMCID:: PMC6135050

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A high-speed current source for magnetorheological applications

Lei Xie, Chuan Lu, Jianfei Yin, Bo Wei, Yuhao Wang, Pengsai Wang, Zhipeng Yang, Changrong Liao

Sci Rep. 2023; 13: 17509. Published online 2023 Oct 16. doi: 10.1038/s41598-023-43730-6

PMCID:: PMC10579296

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Quantitative Evaluation in Estimating Sources Underlying Brain Oscillations Using Current Source Density Methods and Beamformer Approaches

Tamesh Halder, Siddharth Talwar, Amit Kumar Jaiswal, Arpan Banerjee

eNeuro. 2019 Jul-Aug; 6(4): ENEURO.0170-19.2019. Prepublished online 2019 Jul 16. Published online 2019 Aug 5. doi: 10.1523/ENEURO.0170-19.2019

PMCID:: PMC6709228

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Uncovering circuit mechanisms of current sinks and sources with biophysical simulations of primary visual cortex

Atle E Rimehaug, Alexander J Stasik, Espen Hagen, Yazan N Billeh, Josh H Siegle, Kael Dai, Shawn R Olsen, Christof Koch, Gaute T Einevoll, Anton Arkhipov

eLife. 2023; 12: e87169. Published online 2023 Jul 24. doi: 10.7554/eLife.87169

PMCID:: PMC10393295

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Current Source Density Imaging Using Regularized Inversion of Acoustoelectric Signals

Jinbum Kang, Chiao Huang, Charles Perkins, Alexander Alvarez, Leonid Kunyansky, Russell S. Witte, Matthew O’Donnell

IEEE Trans Med Imaging. Author manuscript; available in PMC 2024 Mar 2.

Published in final edited form as: IEEE Trans Med Imaging. 2023 Mar; 42(3): 739–749. Published online 2023 Mar 2. doi: 10.1109/TMI.2022.3215748

PMCID:: PMC10081961

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Directionality of the injected current targeting the P20/N20 source determines the efficacy of 140 Hz transcranial alternating current stimulation (tACS)-induced aftereffects in the somatosensory cortex

Mohd Faizal Mohd Zulkifly, Albert Lehr, Daniel van de Velden, Asad Khan, Niels K. Focke, Carsten H. Wolters, Walter Paulus

PLoS One. 2022; 17(3): e0266107. Published online 2022 Mar 24. doi: 10.1371/journal.pone.0266107

PMCID:: PMC8947130

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Finite element analysis of bone remodelling with piezoelectric effects using an open-source framework

Yogesh Deepak Bansod, Maeruan Kebbach, Daniel Kluess, Rainer Bader, Ursula van Rienen

Biomech Model Mechanobiol. 2021; 20(3): 1147–1166. Published online 2021 Mar 19. doi: 10.1007/s10237-021-01439-3

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Effect of rodent density on tick and tick-borne pathogen populations: consequences for infectious disease risk

Aleksandra I. Krawczyk, Gilian L. A. van Duijvendijk, Arno Swart, Dieter Heylen, Ryanne I. Jaarsma, Frans H. H. Jacobs, Manoj Fonville, Hein Sprong, Willem Takken

Parasit Vectors. 2020; 13: 34. Published online 2020 Jan 20. doi: 10.1186/s13071-020-3902-0

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SEEG in 3D: Interictal Source Localization From Intracerebral Recordings

David Satzer, Yasar T. Esengul, Peter C. Warnke, Naoum P. Issa, Douglas R. Nordli, Jr.

Front Neurol. 2022; 13: 782880. Published online 2022 Feb 8. doi: 10.3389/fneur.2022.782880

PMCID:: PMC8861202

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Biological current source imaging method based on acoustoelectric effect: A systematic review

Hao Zhang, Minpeng Xu, Miao Liu, Xizi Song, Feng He, Shanguang Chen, Dong Ming

Front Neurosci. 2022; 16: 807376. Published online 2022 Jul 18. doi: 10.3389/fnins.2022.807376

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Theoretical considerations and supporting evidence for the primary role of source geometry on field potential amplitude and spatial extent

Oscar Herreras, Daniel Torres, Valeriy A. Makarov, Julia Makarova

Front Cell Neurosci. 2023; 17: 1129097. Published online 2023 Mar 30. doi: 10.3389/fncel.2023.1129097

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Estimating uterine source current during contractions using magnetomyography measurements

Mengxue Zhang, Patricio S. La Rosa, Hari Eswaran, Arye Nehorai

PLoS One. 2018; 13(8): e0202184. Published online 2018 Aug 23. doi: 10.1371/journal.pone.0202184

PMCID:: PMC6121809

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Quality improvement strategies for diabetes care: Effects on outcomes for adults living with diabetes

Cochrane Database Syst Rev. 2023; 2023(5): CD014513. Published online 2023 May 31. doi: 10.1002/14651858.CD014513

PMCID:: PMC10233616

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Widespread Reductions of Spontaneous Neurophysiological Activity in Leber’s Disease—An Application of EEG Source Current Density Reconstruction

Kamil Jonak

Brain Sci. 2020 Sep; 10(9): 622. Published online 2020 Sep 8. doi: 10.3390/brainsci10090622

PMCID:: PMC7563180

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Detecting Large-Scale Brain Networks Using EEG: Impact of Electrode Density, Head Modeling and Source Localization

Quanying Liu, Marco Ganzetti, Nicole Wenderoth, Dante Mantini

Front Neuroinform. 2018; 12: 4. Published online 2018 Mar 2. doi: 10.3389/fninf.2018.00004

PMCID:: PMC5841019

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Quantum Transport in a Silicon Nanowire FET Transistor: Hot Electrons and Local Power Dissipation

Antonio Martinez, John R. Barker

Materials (Basel) 2020 Aug; 13(15): 3326. Published online 2020 Jul 26. doi: 10.3390/ma13153326

PMCID:: PMC7435733

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Interictal and ictal source localization for epilepsy surgery using high-density EEG with MEG: a prospective long-term study

Chris Plummer, Simon J Vogrin, William P Woods, Michael A Murphy, Mark J Cook, David T J Liley

Brain. 2019 Apr; 142(4): 932–951. Published online 2019 Feb 25. doi: 10.1093/brain/awz015

PMCID:: PMC6459284

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Ultra-short pulse laser acceleration of protons to 80 MeV from cryogenic hydrogen jets tailored to near-critical density

Martin Rehwald, Stefan Assenbaum, Constantin Bernert, Florian-Emanuel Brack, Michael Bussmann, Thomas E. Cowan, Chandra B. Curry, Frederico Fiuza, Marco Garten, Lennart Gaus, Maxence Gauthier, Sebastian Göde, Ilja Göthel, Siegfried H. Glenzer, Lingen Huang, Axel Huebl, Jongjin B. Kim, Thomas Kluge, Stephan Kraft, Florian Kroll, Josefine Metzkes-Ng, Thomas Miethlinger, Markus Loeser, Lieselotte Obst-Huebl, Marvin Reimold, Hans-Peter Schlenvoigt, Christopher Schoenwaelder, Ulrich Schramm, Mathias Siebold, Franziska Treffert, Long Yang, Tim Ziegler, Karl Zeil

Nat Commun. 2023; 14: 4009. Published online 2023 Jul 7. doi: 10.1038/s41467-023-39739-0

PMCID:: PMC10329016

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PMC Images search for current source density analysis【生物】物理

Fig 3Significant results for current density amplitude analysis in the (A) alpha frequency band.

sLORETA current source density in the alpha band correlated positively with tinnitus distress in the subgenual anterior cingulate, dorsal anterior cingulate and the hippocampus. (B) Significant results for current density amplitude analysis in the beta frequency band.in the beta in the dorsal anterior cingulate cortex. This image shows significant results only. (C) Significant results for current density amplitude analysis in the gamma frequency band. sLORETA current source density in the gamma band correlated positively with tinnitus loudness in the left parahippocampal area. This image shows significant results only. (D) Significant results for current density amplitude analysis in the theta frequency band. sLORETA current source density in the theta band correlated positively with tinnitus duration in the dorsal anterior cingulate cortex area This image shows significant results only.

Tinnitus: A Large VBM-EEG Correlational Study

PLoS One. 2015;10(3):e0115122.
Figure 8

sLORETA statistical nonparametric maps comparing the current source density in the baseline before arrival at the spatial reference points and ERPs after arrival (A), and comparing the current source density in the ERPs between the control and test phases (B). (A) Significant increase in current source density in the ERPs compared with the baseline at the 128- to 208-ms (b) and the 274- to 374-ms (c) latencies; (a) analyzed time windows indicated by blue thick lines. (B) Significant increase in current source density of the ERPs in the test phase compared with the control phase at the 274- to 374-ms (b) latency; (a) analyzed time windows indicated by blue thick lines. Calibration bars indicate t-values.

sLORETA current source density analysis of evoked potentials for spatial updating in a virtual navigation task

Front Behav Neurosci. 2014;8:66.
Figure 3

The current density and equipotential lines in the vicinity of a dipole. The current density and equipotential lines in the vicinity of a current source and current sink is depicted. Equipotential lines are also given. Boxes are illustrated which represent the volumes G.

Review on solving the forward problem in EEG source analysis

J Neuroeng Rehabil. 2007;4:46-46.
Figure 6

sLORETA was used for the source location analysis of the elite and expert archers’ data during the resting and aiming states. The colored areas represent the maximum current density, and the yellower the color, the higher the degree. (a) Topographic maps of the microstate source localization for the elite archers at the resting state. (b) Topographic maps of the microstate source localization for the expert archers at the resting state. (c) Topographic map of the microstate source localization for the elite archers during aiming. (d) Topographic map of the microstate source localization for the expert archers during aiming.

Research on Top Archer’s EEG Microstates and Source Analysis in Different States

Brain Sci. 2022 Aug;12(8):1017.