1,525 research outputs found
Faces and Places in Fashion: Meg Flather, Home Shopping Diva
No full textMeg Flather has spent decades building a multi-faceted career in performance, cosmetics and media. As author of Lessons, Lyrics and Lipstick, Meg performs entertaining and inspirational seminars for men and women embarking on similar vocations. As national makeup artist for OLAY, Meg worked closely with public relations, marketing and product development. As a home shopping brand ambassador, Meg has grown sales for PERLIER on TSC, Canada, Aloette on Shop NBC, PRAI on TVSN, Australia, StriVectin on QVC, and TSC, Canada. In December, 2015, Meg became the New York based Director of Education for TATCHA skincare.Meg began her cosmetic career in New York City. She was special events captain for all metropolitan accounts for Clinique, resident make-up artist for Yves St. Laurent at Bergdorf Goodman, held the highest national sales record for both Stila and Body and Soul at Barney’s, and raised customer service and artistry standards at all Face Stockholm locations. As an expert in her field, Meg has been featured on The Discovery Channel, in 15 national publications and her artistry credits include People Magazine, NBC Daytime, CNN, 20/20, The View, documentary films and numerous private clients.Part presentation, part Q&A, the "Faces & Places in Fashion" lecture series is an opportunity to connect students and the public alike to the pulse of the fashion industry in an open and conversational setting
Meg Medina Spanish Language Picture Book Award 2022 Acceptance Speech
No full textAuthor Meg Medina gives her Silver Medal acceptance speech for Evelyn del Rey se muda illustrated by Sonia Sánchez (Candlewick)https://educate.bankstreet.edu/spanishlanguageaward/1000/thumbnail.jp
An Oral History Interview with Meg Leta Jones
No full textAn Oral History Interview with Meg Leta Jones conducted by Gerardo Con DiazThis oral history interview is sponsored by NSF 2202484, “Mining a Usable Past: Perspectives, Paradoxes, and Possibilities with Security and Privacy,” at the Charles Babbage Institute, University of Minnesota. The interview is with Meg Leta Jones, Provost’s Distinguished Associate Professor in the Communication, Culture, and Technology program at Georgetown University. Jones discusses her upbringing in rural Illinois, her education in engineering, law, and communication studies, and her path to interdisciplinary privacy scholarship. She reflects on her work on the right to be forgotten, data deletion, and comparative privacy regimes. Then she discusses her engagement with design, infrastructure, and information ethics, as well as her roles as author, mentor, and public scholar.National Science FoundationLeta Jones, Meg. (2025). An Oral History Interview with Meg Leta Jones. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/274361
In Conversation: Tom and Meg Keneally, 9 Sep 2016
No full textTom Keneally, author of Schindler's Ark and The Chant of Jimmy Blacksmith, in conversation with Meg Keneally about their new historical crime series, The Soldier's Curse: Book One of the Monsarrat Series. In conversation with Dr Kim Wilkins, UQ School of Communication and Arts. Event held in conjunction with the 2016 Brisbane Writers Festival
Spectral Analysis of Resting State Magnetoencephalogram Activity in Patients with Bipolar Disorder
No full textWe analyzed the frequency spectrum of magnetoencephalogram (MEG) background activity in 16 bipolar disorder (BD) patients and 24 age-matched healthy control. Median frequency (MF), spectral entropy (SpEn), and relative power in delta (RPδ), theta (RPθ), alpha (RPα), beta (RPβ), and gamma (RPγ) bands were computed for all 148 MEG channels. Significant differences between the two groups were found in the average level of MF, RPδ, and RPθ in the posterior region of the scalp. Moreover, the MF, SpEn, RPδ, and RPβ values of BD patients had a different dependence on age as compared with the results of control subjects, which may suggest that BD affects how the brain activity develops with age. We conclude that the spectral analysis of the background MEG in BD patients may give insights into how this condition affects the brain activity
Blind source separation to enhance spectral and non-linear features of magnetoencephalogram recordings:Application to Alzheimer's disease
No full textThis work studied whether a blind source separation (BSS) and component selection procedure could increase the differences between Alzheimer's disease (AD) patients and control subjects' spectral and nonlinear features of magnetoencephalogram (MEG) recordings. MEGs were acquired with a 148-channel whole-head magnetometer from 62 subjects (36 AD patients and 26 controls), who were divided randomly into training and test sets. MEGs were decomposed using the algorithm for multiple unknown signals extraction (AMUSE). The extracted AMUSE components were characterised with two spectral median frequency and spectral entropy (SpecEn) - and two non-linear features: Lempel-Ziv complexity (LZC) and sample entropy (SampEn). One-way analysis of variance with age as a covariate was applied to the training set to decide which components had the most significant differences between groups. Then, partial reconstructions of the MEGs were computed with these significant components. In the test set, the accuracy and area under the ROC curve (AUC) associated with each partial reconstruction of the MEGs were compared with the case where no BSS-preprocessing was applied. This preprocessing increased the AUCs between 0.013 and 0.227, while the accuracy for SpecEn, LZC and SampEn rose between 6.4% and 22.6%, improving the separation between AD patients and control subjects. (C) 2009 IPEM. Published by Elsevier Ltd. All rights reserved.</p
Positron timing and detection in the MEG experiment
No full textHere the high timing resolution positron detector designed to be used in the MEG experiment is described. Several technical challenges have been faced to obtain the unprecedented goal resolution of 100 ps FWHM for positrons to be detected in the MEG experiment. Also an overview on past experiments is proposed. The key role of the MEG experiment in unveiling New Physics phenomena is briefly stressed. © owned by the author
Flexible head-casts for high spatial precision MEG.
No full textBACKGROUND: In combination with magnetoencephalographic (MEG) data, accurate knowledge of the brain's structure and location provide a principled way of reconstructing neural activity with high temporal resolution. However, measuring the brain's location is compromised by head movement during scanning, and by fiducial-based co-registration with magnetic resonance imaging (MRI) data. The uncertainty from these two factors introduces errors into the forward model and limit the spatial resolution of the data. NEW METHOD: We present a method for stabilizing and reliably repositioning the head during scanning, and for co-registering MRI and MEG data with low error. RESULTS: Using this new flexible and comfortable subject-specific head-cast prototype, we find within-session movements of <0.25mm and between-session repositioning errors around 1mm. COMPARISON WITH EXISTING METHOD(S): This method is an improvement over existing methods for stabilizing the head or correcting for location shifts on- or off-line, which still introduce approximately 5mm of uncertainty at best (Adjamian et al., 2004; Stolk et al., 2013; Whalen et al., 2008). Further, the head-cast design presented here is more comfortable, safer, and easier to use than the earlier 3D printed prototype, and give slightly lower co-registration errors (Troebinger et al., 2014b). CONCLUSIONS: We provide an empirical example of how these head-casts impact on source level reproducibility. Employment of the individual flexible head-casts for MEG recordings provide a reliable method of safely stabilizing the head during MEG recordings, and for co-registering MRI anatomical images to MEG functional data
Improving spatial localization in MEG inverse imaging by leveraging intersubject anatomical differences
No full textModern neuroimaging techniques enable non-invasive observation of ongoing neural processing, with magnetoencephalography (MEG) in particular providing direct measurement of neural activity with millisecond time resolution. However, accurately mapping measured MEG sensor readings onto the underlying source neural structures remains an active area of research. This so-called inverse problem is ill posed, and poses a challenge for source estimation that is often cited as a drawback limiting MEG data interpretation. However, anatomically constrained MEG localization estimates may be more accurate than commonly believed. Here we hypothesize that, by combining anatomically constrained inverse estimates across subjects, the spatial uncertainty of MEG source localization can be mitigated. Specifically, we argue that differences in subject brain geometry yield differences in point-spread functions, resulting in improved spatial localization across subjects. To test this, we use standard methods to combine subject anatomical MRI scans with coregistration information to obtain an accurate forward (physical) solution, modeling the MEG sensor data resulting from brain activity originating from different cortical locations. Using a linear minimum-norm inverse to localize this brain activity, we demonstrate that a substantial increase in the spatial accuracy of MEG source localization can result from combining data from subjects with differing brain geometry. This improvement may be enabled by an increase in the amount of available spatial information in MEG data as measurements from different subjects are combined. This approach becomes more important in the face of practical issues of coregistration errors and potential noise sources, where we observe even larger improvements in localization when combining data across subjects. Finally, we use a simple auditory N100(m) localization task to show how this effect can influence localization using a recorded neural dataset
MEG time-frequency analyses for pre- and post-surgical evaluation of patients with epileptic rhythmic fast activity
No full textPurpose: To evaluate the effectiveness of surgery for epilepsy, we analyzed rhythmic fast activity by magnetoencephalography (MEG) before and after surgery using time-frequency analysis. To assess reliability, the results obtained by pre-surgical MEG and intraoperative electrocorticography were compared. Methods: Four children with symptomatic localization-related epilepsy caused by circumscribed cortical lesion were examined in the present study using 204 channel helmet-shaped MEG with a sampling rate of 600 Hz. One patient had dysembryoplastic neuroepithelial tumor (DNT) and three patients had focal cortical dysplasia (FCD). Aberrant areas were superimposed, to reconstruct 3-D MRI images, and illustrated as moving images. Results: In three patients, short-time Fourier transform (STFT) analyses of MEG showed rhythmic activities just above the lesion with FCD and in the vicinity of DNT. In one patient with FCD in the medial temporal lobe, rhythmic activity appeared in the ipsilateral frontal lobe and temporal lateral aspect. These findings correlate well with the results obtained by intraoperative electrocorticography. After the surgery, three patients were relieved of their seizures, and the area of rhythmic MEG activity disappeared or become smaller. One patient had residual rhythmic MEG activity, and she suffered from seizure relapse. Conclusion: Time-frequency analyses using STFT successfully depicted MEG rhythmic fast activity, and would provide valuable information for pre- and post-surgical evaluations to define surgical strategies for patients with epilepsy
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