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Journal articles on the topic 'EEG coregistration'

Author: Grafiati

Published: 11 March 2023

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1

Del Felice, Alessandra, Tiziano Zanoni, Mirko Avesani, et al. "EEG-fMRI coregistration in non-ketotic hyperglycemic occipital seizures." Epilepsy Research 85, no. 2-3 (2009): 321–24. http://dx.doi.org/10.1016/j.eplepsyres.2009.03.025.

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2

Bruña, Ricardo, Delshad Vaghari, Andrea Greve, Elisa Cooper, Marius O. Mada, and Richard N. Henson. "Modified MRI Anonymization (De-Facing) for Improved MEG Coregistration." Bioengineering 9, no. 10 (2022): 591. http://dx.doi.org/10.3390/bioengineering9100591.

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Localising the sources of MEG/EEG signals often requires a structural MRI to create a head model, while ensuring reproducible scientific results requires sharing data and code. However, sharing structural MRI data often requires the face go be hidden to help protect the identity of the individuals concerned. While automated de-facing methods exist, they tend to remove the whole face, which can impair methods for coregistering the MRI data with the EEG/MEG data. We show that a new, automated de-facing method that retains the nose maintains good MRI-MEG/EEG coregistration. Importantly, behaviour

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3

Miles, Kelly, Catherine McMahon, Isabelle Boisvert, et al. "Objective Assessment of Listening Effort: Coregistration of Pupillometry and EEG." Trends in Hearing 21 (July 28, 2017): 233121651770639. http://dx.doi.org/10.1177/2331216517706396.

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4

Bagattini, Chiara, Tuomas P. Mutanen, Claudia Fracassi, et al. "Predicting Alzheimer's disease severity by means of TMS–EEG coregistration." Neurobiology of Aging 80 (August 2019): 38–45. http://dx.doi.org/10.1016/j.neurobiolaging.2019.04.008.

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5

Formaggio, Emanuela, Silvia Francesca Storti, Roberto Cerini, Antonio Fiaschi, and Paolo Manganotti. "Brain oscillatory activity during motor imagery in EEG-fMRI coregistration." Magnetic Resonance Imaging 28, no. 10 (2010): 1403–12. http://dx.doi.org/10.1016/j.mri.2010.06.030.

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6

Gerloff, Christian, Wolfgang Grodd, Eckart Altenmüller, et al. "Coregistration of EEG and fMRI in a simple motor task." Human Brain Mapping 4, no. 3 (1996): 199–209. http://dx.doi.org/10.1002/(sici)1097-0193(1996)4:3<199::aid-hbm4>3.0.co;2-z.

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7

Wallois, F., M. Mahmoudzadeh, K. Kazemi, et al. "W16.1 Dynamics of the preterm brain through simultaneous EEG-NIRS coregistration." Clinical Neurophysiology 122 (June 2011): S51. http://dx.doi.org/10.1016/s1388-2457(11)60170-3.

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8

Dimigen, Olaf, Werner Sommer, Annette Hohlfeld, Arthur M. Jacobs, and Reinhold Kliegl. "Coregistration of eye movements and EEG in natural reading: Analyses and review." Journal of Experimental Psychology: General 140, no. 4 (2011): 552–72. http://dx.doi.org/10.1037/a0023885.

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9

Formaggio, E., S. F. Storti, M. Avesani, et al. "EEG and fMRI Coregistration To Investigate The Cortical Oscillatory Activities During Finger Movement." NeuroImage 47 (July 2009): S148. http://dx.doi.org/10.1016/s1053-8119(09)71514-9.

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10

Formaggio, Emanuela, Silvia Francesca Storti, Mirko Avesani, et al. "EEG and fMRI Coregistration to Investigate the Cortical Oscillatory Activities During Finger Movement." Brain Topography 21, no. 2 (2008): 100–111. http://dx.doi.org/10.1007/s10548-008-0058-1.

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11

Ervin, Brian, Leonid Rozhkov, Jason Buroker, et al. "Fast Automated Stereo-EEG Electrode Contact Identification and Labeling Ensemble." Stereotactic and Functional Neurosurgery 99, no. 5 (2021): 393–404. http://dx.doi.org/10.1159/000515090.

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<b><i>Introduction:</i></b> Stereotactic electroencephalography (SEEG) has emerged as the preferred modality for intracranial monitoring in drug-resistant epilepsy (DRE) patients being evaluated for neurosurgery. After implantation of SEEG electrodes, it is important to determine the neuroanatomic locations of electrode contacts (ECs), to localize ictal onset and propagation, and integrate functional information to facilitate surgical decisions. Although there are tools for coregistration of preoperative MRI and postoperative CT scans, identification, sorting, and label

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12

Bortoletto, Marta, Domenica Veniero, Gregor Thut, and Carlo Miniussi. "The contribution of TMS–EEG coregistration in the exploration of the human cortical connectome." Neuroscience & Biobehavioral Reviews 49 (February 2015): 114–24. http://dx.doi.org/10.1016/j.neubiorev.2014.12.014.

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13

de León, Sira Carrasco-García, Guiomar Niso, Leonidas Canuet, Laura Burriel-Lobo, Fernando Maestú, and María Gudín Rodríguez-Magariños. "Praxis-induced seizures in a patient with juvenile myoclonic epilepsy: MEG-EEG coregistration study." Epilepsy & Behavior Case Reports 5 (2016): 1–5. http://dx.doi.org/10.1016/j.ebcr.2015.10.002.

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14

Brosnan, Méadhbh B., Mahnaz Arvaneh, Siobhán Harty, et al. "Prefrontal Modulation of Visual Processing and Sustained Attention in Aging, a tDCS–EEG Coregistration Approach." Journal of Cognitive Neuroscience 30, no. 11 (2018): 1630–45. http://dx.doi.org/10.1162/jocn_a_01307.

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The ability to sustain attention is integral to healthy cognition in aging. The right PFC (rPFC) is critical for maintaining high levels of attentional focus. Whether plasticity of this region can be harnessed to support sustained attention in older adults is unknown. We used transcranial direct current stimulation to increase cortical excitability of the rPFC, while monitoring behavioral and electrophysiological markers of sustained attention in older adults with suboptimal sustained attention capacity. During rPFC transcranial direct current stimulation, fewer lapses of attention occurred an

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15

Beltramello, G. "Coregistration of EEG and fMRI in rolandic epilepsy with evoked spikes by peripheral tapping stimulation." Electroencephalography and Clinical Neurophysiology 103, no. 1 (1997): 83. http://dx.doi.org/10.1016/s0013-4694(97)88331-2.

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16

Zanon, Marco, Sara Borgomaneri, and Alessio Avenanti. "Action-related dynamic changes in inferior frontal cortex effective connectivity: A TMS/EEG coregistration study." Cortex 108 (November 2018): 193–209. http://dx.doi.org/10.1016/j.cortex.2018.08.004.

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17

Storti, Silvia Francesca, Emanuela Formaggio, Alberto Beltramello, Antonio Fiaschi, and Paolo Manganotti. "Wavelet Analysis as a Tool for Investigating Movement-Related Cortical Oscillations in EEG-fMRI Coregistration." Brain Topography 23, no. 1 (2009): 46–57. http://dx.doi.org/10.1007/s10548-009-0117-2.

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18

Blount, Jeffrey P., Jason Cormier, Hyunmi Kim, Pongkiat Kankirawatana, Kristen O. Riley, and Robert C. Knowlton. "Advances in intracranial monitoring." Neurosurgical Focus 25, no. 3 (2008): E18. http://dx.doi.org/10.3171/foc/2008/25/9/e18.

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Intracranial monitoring using electroencephalography (IC-EEG) continues to play a critical role in the assessment of patients with medically intractable localization-related epilepsy. There has been minimal change in grid or electrode design in the last 15–20 years, and the surgical approaches for implantation are unchanged. Intracranial monitoring using EEG allows detailed definition of the region of ictal onset and defines the epileptogenic zone, particularly with regard to adjacent potentially eloquent tissue. Recent developments of IC-EEG include the coregistration of functional imaging da

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19

Pieramico, Giulia, Roberto Guidotti, Aino E. Nieminen, et al. "TMS-Induced Modulation of EEG Functional Connectivity Is Affected by the E-Field Orientation." Brain Sciences 13, no. 3 (2023): 418. http://dx.doi.org/10.3390/brainsci13030418.

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Coregistration of transcranial magnetic stimulation (TMS) and electroencephalography (EEG) allows non-invasive probing of brain circuits: TMS induces brain activation due to the generation of a properly oriented focused electric field (E-field) using a coil placed on a selected position over the scalp, while EEG captures the effects of the stimulation on brain electrical activity. Moreover, the combination of these techniques allows the investigation of several brain properties, including brain functional connectivity. The choice of E-field parameters, such as intensity, orientation, and posit

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20

Esposito, Romina, Marta Bortoletto, and Carlo Miniussi. "Integrating TMS, EEG, and MRI as an Approach for Studying Brain Connectivity." Neuroscientist 26, no. 5-6 (2020): 471–86. http://dx.doi.org/10.1177/1073858420916452.

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The human brain is a complex network in which hundreds of brain regions are interconnected via thousands of axonal pathways. The capability of such a complex system emerges from specific interactions among smaller entities, a set of events that can be described by the activation of interconnections between brain areas. Studies that focus on brain connectivity have the aim of understanding and modeling brain function, taking into account the spatiotemporal dynamics of neural communication between brain regions. Much of the current knowledge regarding brain connectivity has been obtained from st

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21

Kretzschmar, Franziska, Matthias Schlesewsky, and Adrian Staub. "Dissociating word frequency and predictability effects in reading: Evidence from coregistration of eye movements and EEG." Journal of Experimental Psychology: Learning, Memory, and Cognition 41, no. 6 (2015): 1648–62. http://dx.doi.org/10.1037/xlm0000128.

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22

Schwartz, Theodore H. "Cortical Dyplasia: Complete Resection Correlates with Outcome…But, Complete Resection of What?" Epilepsy Currents 9, no. 4 (2009): 100–102. http://dx.doi.org/10.1111/j.1535-7511.2009.01306.x.

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Incomplete Resection of Focal Cortical Dysplasia Is the Main Predictor of Poor Postsurgical Outcome. Krsek P, Maton B, Jayakar P, Dean P, Korman B, Rey G, Dunoyer C, Pacheco-Jacome E, Morrison G, Ragheb J, Vinters HV, Resnick T, Duchowny M. Neurology 2009;72(3):217–223. BACKGROUND: Focal cortical dysplasia (FCD) is recognized as the major cause of focal intractable epilepsy in childhood. Various factors influencing postsurgical seizure outcome in pediatric patients with FCD have been reported. OBJECTIVE: To analyze different variables in relation to seizure outcome in order to identify prognos

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23

Mirandola, Laura, Gaetano Cantalupo, Anna Elisabetta Vaudano, et al. "Centrotemporal spikes during NREM sleep: The promoting action of thalamus revealed by simultaneous EEG and fMRI coregistration." Epilepsy & Behavior Case Reports 1 (2013): 106–9. http://dx.doi.org/10.1016/j.ebcr.2013.06.005.

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24

Ferdowsi, Saideh, Saeid Sanei, and Vahid Abolghasemi. "A Predictive Modeling Approach to Analyze Data in EEG–fMRI Experiments." International Journal of Neural Systems 25, no. 01 (2015): 1440008. http://dx.doi.org/10.1142/s0129065714400085.

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In this paper, a novel technique based on blind source extraction (BSE) using linear prediction is proposed to extract rolandic beta rhythm from electroencephalogram (EEG) recorded in a simultaneous EEG–fMRI experiment. We call this method CLP–BSE standing for constrained-linear-prediction BSE. Extracting event-related oscillations is a crucial task due to nonphase-locked nature and inter-trial variability of this event. The main objective of this work is to extract rolandic beta rhythm to measure event-related synchronization (ERS) with acceptable signal-to-noise ratio (SNR). The extracted rh

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25

Manganotti, Paolo, Emanuela Formaggio, Silvia Francesca Storti, et al. "Time-frequency analysis of short-lasting modulation of EEG induced by intracortical and transcallosal paired TMS over motor areas." Journal of Neurophysiology 107, no. 9 (2012): 2475–84. http://dx.doi.org/10.1152/jn.00543.2011.

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Dynamic changes in spontaneous electroencephalogram (EEG) rhythms can be seen to occur with a high rate of variability. An innovative method to study brain function is by triggering oscillatory brain activity with transcranial magnetic stimulation (TMS). EEG-TMS coregistration was performed on five healthy subjects during a 1-day experimental session that involved four steps: baseline acquisition, unconditioned single-pulse TMS, intracortical inhibition (ICI, 3 ms) paired-pulse TMS, and transcallosal stimulation over left and right primary motor cortex (M1). A time-frequency analysis based on

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26

Ferreri, Florinda, David Ponzo, Taina Hukkanen, et al. "Human brain cortical correlates of short-latency afferent inhibition: a combined EEG–TMS study." Journal of Neurophysiology 108, no. 1 (2012): 314–23. http://dx.doi.org/10.1152/jn.00796.2011.

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When linking in time electrical stimulation of the peripheral nerve with transcranial magnetic stimulation (TMS), the excitability of the motor cortex can be modulated to evoke clear inhibition, as reflected by the amplitude decrement in the motor-evoked potentials (MEPs). This specific property, designated short-latency afferent inhibition (SAI), occurs when the nerve–TMS interstimulus interval (ISI) is approximately 25 ms and is considered to be a corticothalamic phenomenon. The aim of the present study was to use the electroencephalographic (EEG) responses to navigated-TMS coregistration to

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27

Monti, F., M. Naccarato, A. Draisci, M. Ukmar, L. Weiss, and G. Pizzolato. "P26.1 Importance of thalamic reticular nucleus in the generation of myoclonic movements in Creutzfeldt–Jakob disease patients: A simultaneous coregistration EEG/fMRI study." Clinical Neurophysiology 117 (September 2006): 113–14. http://dx.doi.org/10.1016/j.clinph.2006.06.454.

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28

Ferreri, Florinda, Fabrizio Vecchio, Andrea Guerra, et al. "Age related differences in functional synchronization of EEG activity as evaluated by means of TMS-EEG coregistrations." Neuroscience Letters 647 (April 2017): 141–46. http://dx.doi.org/10.1016/j.neulet.2017.03.021.

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29

Polewski, P., W. Yao, and L. Fang. "VERTICAL ORIENTATION CORRECTION OF UAV IMAGE-BASED POINT CLOUDS USING STATISTICAL MODELING OF GABLE ROOF GEOMETRY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13 (June 4, 2019): 519–23. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w13-519-2019.

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<p><strong>Abstract.</strong> Coregistration of point clouds obtained from various sensors is an important part of workflows for automatic building reconstruction from remote sensing data. Many approaches assume a common Z axis between the coordinate systems, and perform coregistration in 2D. While this assumption is usually valid for laser scanning (LS) data, for photogrammetric point clouds the Z axis is in general different from the world Z axis, and requires correction e.g. by manually measured ground control points (GCP). In this paper, we propose a fully automatic, GCP-

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30

Almeida, Luís, Rafael Almar, Erwin Bergsma, et al. "Deriving High Spatial-Resolution Coastal Topography From Sub-meter Satellite Stereo Imagery." Remote Sensing 11, no. 5 (2019): 590. http://dx.doi.org/10.3390/rs11050590.

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High spatial resolution coastal Digital Elevation Models (DEMs) are crucial to assess coastal vulnerability and hazards such as beach erosion, sedimentation, or inundation due to storm surges and sea level rise. This paper explores the possibility to use high spatial-resolution Pleiades (pixel size = 0.7 m) stereoscopic satellite imagery to retrieve a DEM on sandy coastline. A 40-km coastal stretch in the Southwest of France was selected as a pilot-site to compare topographic measurements obtained from Pleiades satellite imagery, Real Time Kinematic GPS (RTK-GPS) and airborne Light Detection a

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31

Stegmayer, K., B. Stephan, V. Tim, et al. "Searching for meaning in meaningless gestures, pathologic activity in amygdala, hippocampus and temporal pole during planning of gestures in schizophrenia." European Psychiatry 33, S1 (2016): S200—S201. http://dx.doi.org/10.1016/j.eurpsy.2016.01.473.

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IntroductionSchizophrenia is characterized by poor social interaction contributing to poor functional outcome. Particularly nonverbal communication is disturbed. Neural correlates of impaired gesturing are currently unclear. We thus tested functional correlates of gesturing in schizophrenia patients and healthy controls.MethodsWe tested 22 patients and 25 controls with an event-related fMRI (instructed delay) paradigm to dissociate brain activation during planning and execution of meaningful (e.g. use scissors) and meaningless novel gestures. Preprocessing included realignment, coregistration,

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32

Cucchiaro, Sara, Daniel J. Fallu, He Zhang, et al. "Multiplatform-SfM and TLS Data Fusion for Monitoring Agricultural Terraces in Complex Topographic and Landcover Conditions." Remote Sensing 12, no. 12 (2020): 1946. http://dx.doi.org/10.3390/rs12121946.

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Agricultural terraced landscapes, which are important historical heritage sites (e.g., UNESCO or Globally Important Agricultural Heritage Systems (GIAHS) sites) are under threat from increased soil degradation due to climate change and land abandonment. Remote sensing can assist in the assessment and monitoring of such cultural ecosystem services. However, due to the limitations imposed by rugged topography and the occurrence of vegetation, the application of a single high-resolution topography (HRT) technique is challenging in these particular agricultural environments. Therefore, data fusion

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33

Sidiropoulos, Panagiotis, and Jan-Peter Muller. "BATCH CO-REGISTRATION OF MARS HIGH-RESOLUTION IMAGES TO HRSC MC11-E MOSAIC." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B4 (June 14, 2016): 491–95. http://dx.doi.org/10.5194/isprs-archives-xli-b4-491-2016.

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Four NASA missions over the last forty years with onboard instruments for high-resolution orbital imaging have achieved both global coverage (with 6m CTX, 20m THEMIS-VIS and >8m Viking Orbiter cameras) as well as imaging with very high resolution in specific regions of interest (e.g. 25cm HiRISE and ≈1.5-12m MOC-NA cameras). Overall, this set of cameras have acquired more than 400,000 high-quality images of Mars with resolution between 25cm/pixel and 100m/pixel (Sidiropoulos and Muller, 2015). On the other hand, ESA has sent the only high-resolution stereo photogrammetric camera around Mars

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34

Sidiropoulos, Panagiotis, and Jan-Peter Muller. "BATCH CO-REGISTRATION OF MARS HIGH-RESOLUTION IMAGES TO HRSC MC11-E MOSAIC." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B4 (June 14, 2016): 491–95. http://dx.doi.org/10.5194/isprsarchives-xli-b4-491-2016.

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Four NASA missions over the last forty years with onboard instruments for high-resolution orbital imaging have achieved both global coverage (with 6m CTX, 20m THEMIS-VIS and &gt;8m Viking Orbiter cameras) as well as imaging with very high resolution in specific regions of interest (e.g. 25cm HiRISE and ≈1.5-12m MOC-NA cameras). Overall, this set of cameras have acquired more than 400,000 high-quality images of Mars with resolution between 25cm/pixel and 100m/pixel (Sidiropoulos and Muller, 2015). On the other hand, ESA has sent the only high-resolution stereo photogrammetric camera around

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35

Marta, Bortoletto, Veniero Domenica, Thut Gregor, and Miniussi Carlo. "The Contribution of TMS-EEG Coregistration in the Exploration of the Human Connectome." Frontiers in Human Neuroscience 9 (2015). http://dx.doi.org/10.3389/conf.fnhum.2015.217.00002.

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36

Guo, Zhihao, Chao Zhang, Xiu Wang, et al. "Is intracranial electroencephalography mandatory for MRI-negative neocortical epilepsy surgery?" Journal of Neurosurgery, October 1, 2022, 1–11. http://dx.doi.org/10.3171/2022.8.jns22995.

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OBJECTIVE MRI-negative focal epilepsy is one of the most challenging cases in surgical epilepsy treatment. Many epilepsy centers recommend intracranial electroencephalography (EEG) for MRI-negative cases, especially neocortical epilepsy. This retrospective study aimed to explore whether intracranial monitoring is mandatory in MRI-negative neocortical epilepsy surgery and the factors that significantly influence the decision on whether to perform intracranial recording. METHODS In this study, consecutive surgical patients with focal MRI-negative neocortical epilepsy were recruited. All patients

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37

Milligan, Sara, Martín Antúnez, Horacio A. Barber, and Elizabeth R. Schotter. "Are eye movements and EEG on the same page?: A coregistration study on parafoveal preview and lexical frequency." Journal of Experimental Psychology: General, September 15, 2022. http://dx.doi.org/10.1037/xge0001278.

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38

van der Cruijsen, Joris, Maria Carla Piastra, Ruud W. Selles, and Thom F. Oostendorp. "A Method to Experimentally Estimate the Conductivity of Chronic Stroke Lesions: A Tool to Individualize Transcranial Electric Stimulation." Frontiers in Human Neuroscience 15 (October 12, 2021). http://dx.doi.org/10.3389/fnhum.2021.738200.

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The inconsistent response to transcranial electric stimulation in the stroke population is attributed to, among other factors, unknown effects of stroke lesion conductivity on stimulation strength at the targeted brain areas. Volume conduction models are promising tools to determine optimal stimulation settings. However, stroke lesion conductivity is often not considered in these models as a source of inter-subject variability. The goal of this study is to propose a method that combines MRI, EEG, and transcranial stimulation to estimate the conductivity of cortical stroke lesions experimentall

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39

Meister, Gerhard, Joseph J. Knuble, Leland H. Chemerys, et al. "Test Results From the Prelaunch Characterization Campaign of the Engineering Test Unit of the Ocean Color Instrument of NASA’s Plankton, Aerosol, Cloud and Ocean Ecosystem (PACE) Mission." Frontiers in Remote Sensing 3 (June 23, 2022). http://dx.doi.org/10.3389/frsen.2022.875863.

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This paper summarizes the results from the system level test campaign of the Engineering Test Unit (ETU) of the ‘Ocean Color Instrument’ (OCI), the primary payload of NASA’s ‘Plankton, Aerosol, Cloud and ocean Ecosystem’ (PACE) mission. The main goals of the test campaign were to optimize characterization procedures and evaluate system level performance relative to model predictions. Critical performance parameters such as radiometric gain, signal-to-noise ratio, polarization, instantaneous field-of-view, temperature sensitivity, relative spectral response and stability were evaluated for wave

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