CUDA-Based Real-Time Bimanual Gestures Interaction with the Rhesus Macaque Brain MRI Data

Author(s):  
Zeqing Fu ◽  
Yiyi Deng ◽  
Xuyang Bai ◽  
Bin Gao ◽  
Yanlin Luo ◽  
...  
Keyword(s):  
2002 ◽  
Vol 5 (1) ◽  
pp. 3-11 ◽  
Author(s):  
Simon K. Warfield ◽  
Florin Talos ◽  
Alida Tei ◽  
Aditya Bharatha ◽  
Arya Nabavi ◽  
...  

2020 ◽  
Author(s):  
Pamela Gonzalez Mendez ◽  
Ranganatha Sitaram ◽  
Jeffrey A. Stanley ◽  
Julio Rodino Clement

ABSTRACT BACKGROUND: Depressive disorders are a group of neuropsychiatric disorders that cause significant distress and impairment in social, occupational, and other important areas of functioning. In the last decade, Brain-Computer Interfaces based-neurofeedback training appears as an innovative therapy for this condition and other neuropsychiatric disorders, allowing to volitionally self-regulate brain activity and behavior. Up to date, non-invasive neurofeedback training have been built on different techniques, including EEG, NIRS and fMRI. OBJECTIVES: This systematic review aims to evaluate the clinical application of fMRI neurofeedback training and its efficacy on treating depressive disorders. As a secondary objective, we intend to extract additional information on the neurofeedback training technique, in order to provide recommendations for future research. METHODS AND ANALYSIS: The systematic review complies with the PRISMA guidelines and it was submitted to PROSPERO registration. We will only include randomized control trials assessing participants with a depressive disorder. The intervention of interest is real-time fMRI neurofeedback training, the comparison of interest will be placebo neurofeedback, another active non-neurofeedback control or no treatment. The primary outcome will be effects on behavior (symptomatology/disease severity reduction). The secondary outcomes will assess quality of life, acceptability and adverse effects. Finally, we will evaluate other outcomes regarding brain MRI metrics (BOLD activation/connectivity), cognitive tasks performance, and physiology measures. At least two reviewers will independently select studies, extract data and assess the risk of bias. If methodologically possible, for primary and secondary outcomes, a meta-analysis will be performed and the data will be presented in summary tables of results using the GRADE approach. STRENGTH AND LIMITATIONS: As the number of studies on neurofeedback is increasing every year, and better quality of evidence is available, this systematic review, will include only randomized control trials. To our knowledge, this is the first systematic review assessing randomized control trials on fMRI neurofeedback training as a neurorehabilitation approach on depressive disorders. The main limitation of this systematic review might arise from the low number of extant RCTs.


2018 ◽  
Author(s):  
Damien A. Fair ◽  
Oscar Miranda-Dominguez ◽  
Abraham Z. Snyder ◽  
Anders Perrone ◽  
Eric A. Earl ◽  
...  

AbstractHead motion represents one of the greatest technical obstacles for brain MRI. Accurate detection of artifacts induced by head motion requires precise estimation of movement. However, this estimation may be corrupted by factitious effects owing to main field fluctuations generated by body motion. In the current report, we examine head motion estimation in multiband resting state functional connectivity MRI (rs-fcMRI) data from the Adolescent Brain and Cognitive Development (ABCD) Study and a comparison ‘single-shot’ dataset from Oregon Health & Science University. We show unequivocally that respirations contaminate movement estimates in functional MRI and that respiration generates apparent head motion not associated with degraded quality of functional MRI. We have developed a novel approach using a band-stop filter that accurately removes these respiratory effects. Subsequently, we demonstrate that utilizing this filter improves post-processing data quality. Lastly, we demonstrate the real-time implementation of motion estimate filtering in our FIRMM (Framewise Integrated Real-Time MRI Monitoring) software package.


2021 ◽  
Vol 3 (Supplement_3) ◽  
pp. iii15-iii15
Author(s):  
Benjamin Jang ◽  
MingDe Lin ◽  
Randy Owens ◽  
Khaled Bousabarah ◽  
Amit Mahajan ◽  
...  

Abstract Objective Communicating metastatic brain treatment response can be complicated. A widely used method to assess clinical response is called response evaluation criteria in solid tumors or RECIST. In our study, we use a PACS Lesion Tracking Tool (TT) to assess intracranial metastasis using RECIST criteria. We predict that the TT will be superior to the standard radiology reports. Methods Nuance ® mPowerTM was used to identify 30 patients with brain metastasis who received brain MRI from 4/2020–4/2021. Patient’s first brain MRI with metastasis was set as baseline and subsequent 3 brain MRI studies were examined. All lesions were measured on post-gadolinium sequence and defined as target lesions or new lesions. The TT was used to measure lesion size over time with creation of growth curves and RECIST outcomes, which include stable disease, progressive disease, partial response, or complete response. Subsequently, RECIST evaluations were compared with radiologic impressions for discrepancy, and further evaluations were made to see if it made a clinical difference in patient management and/or provide additional useful information. These evaluations were given a rating of agree/yes, equivocal, or disagree/no. They were assessed by 3 neuroradiologists. Results Number of lesions ranged from 1–27. The assessments from 3 neuroradiologists were averaged. Comparing impression versus RECIST evaluation, the results demonstrated the following: 8/30 disagreement, 4/30 equivocal, and 18/30 agreement. Using more stringent criteria, assessing whether the TT would result in either change in patient management or provide additional useful information, the results were the following: 6/30 yes, 4/30 equivocal, and 20/30 no. Discussion In addition to providing real time RECIST criteria evaluations and visually descriptive lesion growth tables, the TT was easy to use. Interpretation of these additional data provided more clarity and was found to be superior to standard radiology report.


NeuroImage ◽  
2017 ◽  
Vol 161 ◽  
pp. 80-93 ◽  
Author(s):  
Nico U.F. Dosenbach ◽  
Jonathan M. Koller ◽  
Eric A. Earl ◽  
Oscar Miranda-Dominguez ◽  
Rachel L. Klein ◽  
...  

1979 ◽  
Vol 44 ◽  
pp. 41-47
Author(s):  
Donald A. Landman

This paper describes some recent results of our quiescent prominence spectrometry program at the Mees Solar Observatory on Haleakala. The observations were made with the 25 cm coronagraph/coudé spectrograph system using a silicon vidicon detector. This detector consists of 500 contiguous channels covering approximately 6 or 80 Å, depending on the grating used. The instrument is interfaced to the Observatory’s PDP 11/45 computer system, and has the important advantages of wide spectral response, linearity and signal-averaging with real-time display. Its principal drawback is the relatively small target size. For the present work, the aperture was about 3″ × 5″. Absolute intensity calibrations were made by measuring quiet regions near sun center.


Author(s):  
Alan S. Rudolph ◽  
Ronald R. Price

We have employed cryoelectron microscopy to visualize events that occur during the freeze-drying of artificial membranes by employing real time video capture techniques. Artificial membranes or liposomes which are spherical structures within internal aqueous space are stabilized by water which provides the driving force for spontaneous self-assembly of these structures. Previous assays of damage to these structures which are induced by freeze drying reveal that the two principal deleterious events that occur are 1) fusion of liposomes and 2) leakage of contents trapped within the liposome [1]. In the past the only way to access these events was to examine the liposomes following the dehydration event. This technique allows the event to be monitored in real time as the liposomes destabilize and as water is sublimed at cryo temperatures in the vacuum of the microscope. The method by which liposomes are compromised by freeze-drying are largely unknown. This technique has shown that cryo-protectants such as glycerol and carbohydrates are able to maintain liposomal structure throughout the drying process.


Author(s):  
R.P. Goehner ◽  
W.T. Hatfield ◽  
Prakash Rao

Computer programs are now available in various laboratories for the indexing and simulation of transmission electron diffraction patterns. Although these programs address themselves to the solution of various aspects of the indexing and simulation process, the ultimate goal is to perform real time diffraction pattern analysis directly off of the imaging screen of the transmission electron microscope. The program to be described in this paper represents one step prior to real time analysis. It involves the combination of two programs, described in an earlier paper(l), into a single program for use on an interactive basis with a minicomputer. In our case, the minicomputer is an INTERDATA 70 equipped with a Tektronix 4010-1 graphical display terminal and hard copy unit.A simplified flow diagram of the combined program, written in Fortran IV, is shown in Figure 1. It consists of two programs INDEX and TEDP which index and simulate electron diffraction patterns respectively. The user has the option of choosing either the indexing or simulating aspects of the combined program.


Author(s):  
R. Rajesh ◽  
R. Droopad ◽  
C. H. Kuo ◽  
R. W. Carpenter ◽  
G. N. Maracas

Knowledge of material pseudodielectric functions at MBE growth temperatures is essential for achieving in-situ, real time growth control. This allows us to accurately monitor and control thicknesses of the layers during growth. Undesired effusion cell temperature fluctuations during growth can thus be compensated for in real-time by spectroscopic ellipsometry. The accuracy in determining pseudodielectric functions is increased if one does not require applying a structure model to correct for the presence of an unknown surface layer such as a native oxide. Performing these measurements in an MBE reactor on as-grown material gives us this advantage. Thus, a simple three phase model (vacuum/thin film/substrate) can be used to obtain thin film data without uncertainties arising from a surface oxide layer of unknown composition and temperature dependence.In this study, we obtain the pseudodielectric functions of MBE-grown AlAs from growth temperature (650°C) to room temperature (30°C). The profile of the wavelength-dependent function from the ellipsometry data indicated a rough surface after growth of 0.5 μm of AlAs at a substrate temperature of 600°C, which is typical for MBE-growth of GaAs.


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