Data Driven Analysis Methods In Pharmacological And Functional Magnetic Resonance Imaging
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Data Driven Analysis Methods In Pharmacological And Functional Magnetic Resonance Imaging
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Author :
language : en
Publisher:
Release Date : 2012
Data Driven Analysis Methods In Pharmacological And Functional Magnetic Resonance Imaging written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
Data Driven Analysis Methods In Pharmacological And Functional Magnetic Resonance
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Author : John McGonigle
language : en
Publisher:
Release Date : 2012
Data Driven Analysis Methods In Pharmacological And Functional Magnetic Resonance written by John McGonigle and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
This thesis introduces several novel methods for the data-driven and ex- ploratory analysis of functional brain images. Functional magnetic resonance imaging (fMRI) has emerged as a safe and non-invasive way to image the hu- man brain in action. In pharmacological MRI (phMRI), a drug's effect on the brain is of interest, rather than the brain's response to a specific task as in fMRI. However, the sometimes prolonged response to a drug necessi- tates different methodologies than those for task related effects, with further methods development needed to deliver robust results so that phMRI may be of practical use during drug development. There are many confounding issues in analysing these data, including under-informed models of response, subject motion, scanner drift, and gross differences in brain volume. In this work, data from a phMRI experiment was analysed to examine the effect of a pharmacological dose of hydrocortisone; a glucocorticoid associ- ated with the body's response to stress, and used in a number of medical conditions. The key findings were that even without using a priori hypothe- ses about the site of action, hydrocortisone significantly reduces a phMRI signal associated with blood oxygenation in the dorsal hippocampi, which is confirmed by decreases in absolute perfusion measured using arterial spin labelling. Methods were developed for the detection and correction of artefacts, includ- ing intra-scan motion and scanner drift. Functional connectivity methods were examined, and methodological issues in comparing groups investigated, revealing that many previously observed differences may have been biased or even artefactual due to gross differences in brain volume. Temporal decom- position techniques were also explored for their use in brain imaging, with wavelet cluster analysis being developed into an interactive and iterative method, while an adaptive analysis method, empirical mode decomposition, is built upon to allow the analysis of many thousands of time courses.
Handbook Of Functional Mri Data Analysis
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Author : Russell A. Poldrack
language : en
Publisher: Cambridge University Press
Release Date : 2011-08-22
Handbook Of Functional Mri Data Analysis written by Russell A. Poldrack and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-22 with Medical categories.
Functional magnetic resonance imaging (fMRI) has become the most popular method for imaging brain function. Handbook of Functional MRI Data Analysis provides a comprehensive and practical introduction to the methods used for fMRI data analysis. Using minimal jargon, this book explains the concepts behind processing fMRI data, focusing on the techniques that are most commonly used in the field. This book provides background about the methods employed by common data analysis packages including FSL, SPM and AFNI. Some of the newest cutting-edge techniques, including pattern classification analysis, connectivity modeling and resting state network analysis, are also discussed. Readers of this book, whether newcomers to the field or experienced researchers, will obtain a deep and effective knowledge of how to employ fMRI analysis to ask scientific questions and become more sophisticated users of fMRI analysis software.
Computational Molecular Magnetic Resonance Imaging For Neuro Oncology
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Author : Michael O. Dada
language : en
Publisher: Springer Nature
Release Date : 2021-07-31
Computational Molecular Magnetic Resonance Imaging For Neuro Oncology written by Michael O. Dada and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-31 with Science categories.
Based on the analytical methods and the computer programs presented in this book, all that may be needed to perform MRI tissue diagnosis is the availability of relaxometric data and simple computer program proficiency. These programs are easy to use, highly interactive and the data processing is fast and unambiguous. Laboratories (with or without sophisticated facilities) can perform computational magnetic resonance diagnosis with only T1 and T2 relaxation data. The results have motivated the use of data to produce data-driven predictions required for machine learning, artificial intelligence (AI) and deep learning for multidisciplinary and interdisciplinary research. Consequently, this book is intended to be very useful for students, scientists, engineers, the medical personnel and researchers who are interested in developing new concepts for deeper appreciation of computational magnetic resonance imaging for medical diagnosis, prognosis, therapy and management of tissue diseases.
Functional Magnetic Resonance Imaging Processing
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Author : Xingfeng Li
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-09-14
Functional Magnetic Resonance Imaging Processing written by Xingfeng Li and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-14 with Medical categories.
With strong numerical and computational focus, this book serves as an essential resource on the methods for functional neuroimaging analysis, diffusion weighted image analysis, and longitudinal VBM analysis. It includes four MRI image modalities analysis methods. The first covers the PWI methods, which is the basis for understanding cerebral flow in human brain. The second part, the book’s core, covers fMRI methods in three specific domains: first level analysis, second level analysis, and effective connectivity study. The third part covers the analysis of Diffusion weighted image, i.e. DTI, QBI and DSI image analysis. Finally, the book covers (longitudinal) VBM methods and its application to Alzheimer’s disease study.
Handbook Of Functional Mri Data Analysis
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Author : Russell A. Poldrack
language : en
Publisher: Cambridge University Press
Release Date : 2011-08-22
Handbook Of Functional Mri Data Analysis written by Russell A. Poldrack and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-22 with Medical categories.
Functional magnetic resonance imaging (fMRI) has become the most popular method for imaging brain function. Handbook for Functional MRI Data Analysis provides a comprehensive and practical introduction to the methods used for fMRI data analysis. Using minimal jargon, this book explains the concepts behind processing fMRI data, focusing on the techniques that are most commonly used in the field. This book provides background about the methods employed by common data analysis packages including FSL, SPM, and AFNI. Some of the newest cutting-edge techniques, including pattern classification analysis, connectivity modeling, and resting state network analysis, are also discussed. Readers of this book, whether newcomers to the field or experienced researchers, will obtain a deep and effective knowledge of how to employ fMRI analysis to ask scientific questions and become more sophisticated users of fMRI analysis software.
The Statistical Analysis Of Functional Mri Data
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Author : Nicole Lazar
language : en
Publisher: Springer
Release Date : 2008-11-01
The Statistical Analysis Of Functional Mri Data written by Nicole Lazar and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-01 with Medical categories.
The study of brain function is one of the most fascinating pursuits of m- ern science. Functional neuroimaging is an important component of much of the current research in cognitive, clinical, and social psychology. The exci- ment of studying the brain is recognized in both the popular press and the scienti?c community. In the pages of mainstream publications, including The New York Times and Wired, readers can learn about cutting-edge research into topics such as understanding how customers react to products and - vertisements (“If your brain has a ‘buy button,’ what pushes it?”, The New York Times,October19,2004),howviewersrespondtocampaignads(“Using M. R. I. ’s to see politics on the brain,” The New York Times, April 20, 2004; “This is your brain on Hillary: Political neuroscience hits new low,” Wired, November 12,2007),howmen and womenreactto sexualstimulation (“Brain scans arouse researchers,”Wired, April 19, 2004), distinguishing lies from the truth (“Duped,” The New Yorker, July 2, 2007; “Woman convicted of child abuse hopes fMRI can prove her innocence,” Wired, November 5, 2007), and even what separates “cool” people from “nerds” (“If you secretly like Michael Bolton, we’ll know,” Wired, October 2004). Reports on pathologies such as autism, in which neuroimaging plays a large role, are also common (for - stance, a Time magazine cover story from May 6, 2002, entitled “Inside the world of autism”).
Hypothesis Driven And Data Driven Approaches For Functional Magnetic Resonance Imaging Data Analysis
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Author : Nicola Vanello
language : en
Publisher:
Release Date : 2006
Hypothesis Driven And Data Driven Approaches For Functional Magnetic Resonance Imaging Data Analysis written by Nicola Vanello and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.
Contributions To The Development And Validation Of Fmri Based Biomarkers For Drug Discovery In Social Anxiety Disorder
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Author : Héctor Ortiz València
language : en
Publisher:
Release Date : 2017
Contributions To The Development And Validation Of Fmri Based Biomarkers For Drug Discovery In Social Anxiety Disorder written by Héctor Ortiz València and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
This document presents the theoretical background and experimental work made to develop and validate a set of experiments based on functional magnetic resonance imaging (fMRI). These experiments are aimed to demonstrate that fMRI can be a valuable tool to objectivize drug treatment response in Social Anxiety Disorder (SAD) patients. Functional MRI is a non-invasive imaging technique which provides localized indicators of brain activity. The analysis of fMRI data has recently facilitated neuroscience to make a leap forward in the understanding of the human brain. Psychiatric clinical research, however, hasn't fully embraced yet the potential of fMRI. In parallel, the societal costs of new psychiatric drug discovery are reaching unbearable limits. It has been hypothesized that the addition of fMRI in clinical trials of pharmacologic treatments of SAD can provide new biomarkers of treatment response which, in the future, shall reduce the temporal and economic burden of drug discovery. Five studies are presented in this dissertation in an evolving path towards the validation of the hypothesis. In study 1, a widely validated state-of-the-art emotional face processing paradigm was piloted in a non-clinical sample. Task related activations were in line with the findings previously reported in the literature. However, the results of experiment did not show a correlation with symptom severity. An additional exploratory psychophysiological interaction analysis revealed that the relationship between two emotion-processing areas had a significant correlation with SAD symptom severity. This emphasized the potential value of studies based on functional connectivity for our objectives. Study 2 explored the reproducibility of connectivity analysis of fMRI data. To do so, a brain network was selected and explored with Independent Component Analysis (ICA) on data collected from three categorically differentiated paradigms: A resting task, a moral dilemma task and in a cognitive-challenging Stroop task. The selected network was systematically identified in the three cases, exemplifying the robustness of the technique in three extreme cases. Study 3 explores the sensitivity of ICA by analyzing resting-state data acquired before and after an experimental induction of sad mood. Multiple regions reflected changes in their intranetwork connectivity after sad mood induction. Results were validated using a split-half re-analysis and confirmatory seed-based functional connectivity measurements. These results support the idea that spatial ICA of fMRI is not only reliable, but also a sensitive paradigm. Study 4 presents a novel SAD symptom-provoking paradigm that was validated on SAD patients and controls. The analysis of this pilot revealed a striking non-linear relationship between task activation and social anxiety scores. This non-linear relationship is compatible with some of the divergences found in literature regarding the alteration of emotional regulation brain areas in SAD. Study 5 presents the results of a small placebo-controlled clinical trial using a common treatment for SAD (paroxetine) in SAD patients. Subjects underwent the emotional face processing, the symptom-provoking and resting state tasks that were administered and analyzed following the experience obtained in studies 1 to 4. The selected fMRI paradigms and analysis methods showed significant sensitivity to the effects of paroxetine treatment on SAD. Treatment effects were identified in areas related to the processing of fear stress and anxiety, which are known to be altered in SAD. Remarkably, ICA revealed sensitivity to pharmacologically-induced clinical improvement in the same areas and direction than the symptom-provocation task. Along with the evidences reported in the literature review, the methods and results obtained throughout this dissertation provide a proof of concept on the usage of fMRI as a biomarker for SAD pharmacologic research.
Applying Nonlinear Time Series Analysis Methods To Functional Magnetic Resonance Imaging
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Author : Angela M. R. Laird
language : en
Publisher:
Release Date : 2002
Applying Nonlinear Time Series Analysis Methods To Functional Magnetic Resonance Imaging written by Angela M. R. Laird and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with categories.