functional MRI data analysis
Methods and Approaches for Characterizing Learning Related Changes Observed in functional MRI Data — A Review
... second-level analysis where statistical time series techniques are applied on regions selected from the first-level ANOVA based ...effects analysis described in section ...
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Deep learning based pipeline for fingerprinting using brain functional MRI connectivity data
... Seed-Based Analysis (SBA), Independent Component Analysis (ICA) and connectomic analysis which is the method we will use in this ...connectomic analysis obtains the interactions between every ...
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Whole-brain connectivity analysis and classification of spinocerebellar ataxia type 7 by functional MRI
... component analysis and Independent component Ana- lysis among ...the data are less than the original dimen- sionality reducing the data space by discarding the com- ponents with high variance ...
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Principles and practice of functional MRI of the human brain
... An important area of further development is the application of advanced data analysis techniques and modeling in order to interpret fMRI results. For map- ping of single critical functions (e.g., for ...
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Parameterized hemodynamic response function data of healthy individuals obtained from resting-state functional MRI in a 7T MRI scanner
... FMRI data at ultra-high fields contains larger con- tributions from small vessels, consequently HRF variability is lower for small vessels at higher field ...this data would be more conservative than from ...
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A Survey of Graph Based Complex Brain Network Analysis Using Functional and Diffusional MRI
... theory analysis of complex interactions between complaints, functional brain networks, depression and anxiety in the sub-acute phase after ...theory analysis as a great solutions of Alzheimer’s ...
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Qualitative and quantitative analysis of MRI data from patients with epilepsy
... histological analysis of these areas showed them to be ...of functional abnormality might have been present beyond the field exposed at surgery and these areas may have been capable of supporting ...the ...
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Would the field of cognitive neuroscience be advanced by sharing functional MRI data?
... or analysis). If data sharing were more prevalent, then it would often be possible to quickly determine whether a new finding is reproduci- ...similar data from multiple laboratories to determine ...
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Analysis of multiparametric MRI data in prostatic carcinoma- PI-RADS and correlation with gleason score in a 3T MRI
... Diffusion weighted imaging (DWI) is another MR based technique that probes the functional characteristics of tissues. It was introduced by Stejskal and Tanner in the early-1980s (16-18). In conventional MR ...
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Functional connectivity alterations in epilepsy from resting-state functional MRI
... of functional brain connectivity alterations induced by neurological disorders and their analysis from resting state functional Magnetic Resonance Imaging (rfMRI) is generally considered to be a ...
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Pre-clinical imaging of transgenic mouse models of neuroblastoma using a dedicated 3-element solenoid coil on a clinical 3T platform.
... clinical MRI scanners operating between 1 and 3T, available to clinically orientated research groups, are being increasingly used for pre-clinical imaging studies in rodents (Dazai et al, 2004; Brockmann et al, ...
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Bayesian Functional Data Analysis Using WinBUGS
... We obtained 1, 500 simulations, discarded the first 500 as burn-in and used the remainder 1, 000 for inference. For I = 500 subjects, J = 2 visits and T = 120 grid points for each function the total computation time was ...
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Longitudinal Functional Data Analysis with Biomedical Applications.
... the data only through the basis ...The analysis results suggest that there is only small changes of the CCA-FA trajectories over the short du- ration of the DTI ...
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Neuroimaging in repetitive brain trauma
... diffusion MRI techniques may be more sensitive to micro- structural changes than DTI ...the data in multiple diffusion sensitivities ...DTI data, and therefore does not require specialized acqui- ...
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Functional Principal Components Analysis with Survey Data
... performing Functional Principal Components Analysis (FPCA) thanks to Horvitz-Thompson estimators when the curves are collected with survey sam- pling ...
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Abnormal lateralization of functional connectivity between language and default mode regions in autism
... age functional lateralization for the following three groups of connections: 1) 15 left-lateralized connections involving language regions (that is, Broca and/or Wernicke area), 2) 21 left-lateralized connections ...
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Curriculum Vitae. Ana M. Aguilera Octubre de Profesional Details 2. Personal Details 2. Studies 2. Teaching 2. Main Research Fields 2
... response variables from functional data”. Consejer´ıa de innnovaci´on, ciencia y empresa de la Junta de Andaluc´ıa (01-12-2006/30-11-2009) 4. ”Desarrollo de Aplicaciones Psicom´edicas Mediante Modelos de ...
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Automatic Segmentation of Brain Tissues in Functional MRI
... an MRI machine, the protons in the human body align with the magnetic ...The MRI scanner has receiver coils that will detect the radio wave signals, which form the MRI ...
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Resting state functional MRI in Alzheimer's Disease
... Functional imaging studies using positron emission tomo- graphy (PET) as well as fMRI have repeatedly observed the presence of deactivation in consistent brain regions in response to a task. Th is observation, ...
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A GENERAL STUDY ON MRI SCAN FOR BRAIN TUMOR USING ARTIFICIAL NEURAL NETWORK
... brain. Functional MRI is the widely used scan technique. In functional MRI, the patients are asked to perform different functions such as any actions to verify which part of the brain is ...
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