Temporal Features in Resting State fMRI Data
Author : Xiaoping Philip Hu
Publisher : Frontiers Media SA
Page : 136 pages
File Size : 14,26 MB
Release : 2021-01-20
Category : Science
ISBN : 2889664082
Author : Xiaoping Philip Hu
Publisher : Frontiers Media SA
Page : 136 pages
File Size : 14,26 MB
Release : 2021-01-20
Category : Science
ISBN : 2889664082
Author : Diederik P. Kingma
Publisher :
Page : 102 pages
File Size : 49,19 MB
Release : 2019-11-12
Category : Computers
ISBN : 9781680836226
An Introduction to Variational Autoencoders provides a quick summary for the of a topic that has become an important tool in modern-day deep learning techniques.
Author : Katharina Glomb
Publisher :
Page : 107 pages
File Size : 10,74 MB
Release : 2016
Category :
ISBN :
Spontaneous brain activity, measured under the absence of any overt task, has been investigated under the label of "resting state" for about 20 years with rising interest. While it was known since the beginnings of modern electrophysiology that the brain exhibits spontaneous fluctuations also during rest, the discovery, in 1995, that these fluctuations possess a robust spatio-temporal structure had a profound impact on how we understand and investigate brain activity. In this dissertation, we characterize the spatio-temporal dynamics of resting state on a macroscopic level using fMRI recordings from humans and combining novel data analysis tools with theoretical models on the level of the whole brain. We demonstrate the presence of common patterns of functional connectivity, known as resting state networks (RSNs), that evolve in time in both empirical and model data. We show that spontaneous fluctuations and their statistics are determined by the structure of the brain network and its dynamics.
Author : Jean Chen
Publisher : Frontiers Media SA
Page : 188 pages
File Size : 26,45 MB
Release : 2020-12-28
Category : Science
ISBN : 2889662853
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Author : Selma Supek
Publisher : Springer
Page : 999 pages
File Size : 46,27 MB
Release : 2014-08-07
Category : Technology & Engineering
ISBN : 3642330452
Magnetoencephalography (MEG) is an invaluable functional brain imaging technique that provides direct, real-time monitoring of neuronal activity necessary for gaining insight into dynamic cortical networks. Our intentions with this book are to cover the richness and transdisciplinary nature of the MEG field, make it more accessible to newcomers and experienced researchers and to stimulate growth in the MEG area. The book presents a comprehensive overview of MEG basics and the latest developments in methodological, empirical and clinical research, directed toward master and doctoral students, as well as researchers. There are three levels of contributions: 1) tutorials on instrumentation, measurements, modeling, and experimental design; 2) topical reviews providing extensive coverage of relevant research topics; and 3) short contributions on open, challenging issues, future developments and novel applications. The topics range from neuromagnetic measurements, signal processing and source localization techniques to dynamic functional networks underlying perception and cognition in both health and disease. Topical reviews cover, among others: development on SQUID-based and novel sensors, multi-modal integration (low field MRI and MEG; EEG and fMRI), Bayesian approaches to multi-modal integration, direct neuronal imaging, novel noise reduction methods, source-space functional analysis, decoding of brain states, dynamic brain connectivity, sensory-motor integration, MEG studies on perception and cognition, thalamocortical oscillations, fetal and neonatal MEG, pediatric MEG studies, cognitive development, clinical applications of MEG in epilepsy, pre-surgical mapping, stroke, schizophrenia, stuttering, traumatic brain injury, post-traumatic stress disorder, depression, autism, aging and neurodegeneration, MEG applications in cognitive neuropharmacology and an overview of the major open-source analysis tools.
Author : Catherine Elizabeth Chang
Publisher : Stanford University
Page : 237 pages
File Size : 16,63 MB
Release : 2011
Category :
ISBN :
Functional magnetic resonance imaging (fMRI) based on blood-oxygen level dependent (BOLD) contrast is a powerful technique for non-invasive measurement of brain activity. Recent fMRI studies have revealed that the spontaneous BOLD fluctuations of the human brain organize into distributed, temporally-coherent networks ("resting-state networks"; RSNs). Examination of RSNs has yielded valuable insight into neural organization and development, and demonstrates potential as a biomarker for conditions such as Alzheimer's disease and depression. However, the accuracy by which the spatio-temporal properties of RSNs can be delineated using fMRI is compromised by the presence of physiological (cardiac and respiratory) noise and vascular hemodynamic variability. Further, our present understanding of how RSNs may interact and support cognitive function has been limited by the fact that the vast majority of studies to-date analyze RSNs in a manner that assumes temporal stationarity. Here, we describe efforts to correct for non-neural physiological influences on the BOLD signal, as well as investigations into the dynamic character of resting-state network connectivity. It is found that low-frequency variations in cardiac and respiratory processes account for significant noise across widespread gray matter regions, and that a constrained deconvolution approach may prove effective for modeling and reducing their effects. Application of the proposed noise-reduction procedure is observed to yield negative correlations between the spontaneous fluctuations of two major RSNs. The relationship between respiratory volume changes and the BOLD signal is further examined by simultaneously monitoring and comparing chest expansion data, end-tidal gas concentrations, and spontaneous BOLD fluctuations. The use of a breath-holding task is proposed for quantifying regional differences in BOLD signal timing that arise from local vasomotor response delays; such non-neural timing delays are found to impact inferences of resting-state connectivity and causality. Finally, a preliminary analysis of non-stationary connectivity between RSNs is performed using wavelet and sliding-window approaches, and it is observed that interactions between networks may reconfigure on time-scales of seconds to minutes.
Author : Norden E Huang
Publisher : World Scientific
Page : 399 pages
File Size : 39,76 MB
Release : 2014-04-22
Category : Mathematics
ISBN : 981450825X
This book is written for scientists and engineers who use HHT (Hilbert-Huang Transform) to analyze data from nonlinear and non-stationary processes. It can be treated as a HHT user manual and a source of reference for HHT applications. The book contains the basic principle and method of HHT and various application examples, ranging from the correction of satellite orbit drifting to detection of failure of highway bridges.The thirteen chapters of the first edition are based on the presentations made at a mini-symposium at the Society for Industrial and Applied Mathematics in 2003. Some outstanding mathematical research problems regarding HHT development are discussed in the first three chapters. The three new chapters of the second edition reflect the latest HHT development, including ensemble empirical mode decomposition (EEMD) and modified EMD.The book also provides a platform for researchers to develop the HHT method further and to identify more applications.
Author : N. Geschwind
Publisher : Springer Science & Business Media
Page : 567 pages
File Size : 26,65 MB
Release : 2012-12-06
Category : Science
ISBN : 9401020930
Philosophers of science work not only with the methods of the sciences but with their contents as well. Substantive issues concerning the relation between mind and matter, between the material basis and the functions of cognition, have been central within the entire history of philosophy. We recall such philosophers as Aristotle, Descartes, the early Kant, Ernst Mach, and the early William James as directly inquiring of the organs and structures of thinking. Science and its philosophical self-criticism are especially and deeply united in the effort to understand the biological brain and human behavior, and so it requires no apology to include this collection of clinical studies among Boston Studies in the Philosophy of Science. The work of Dr. Norman Geschwind, well represented in this selection, explores the relation between structure and function, between the anatomy of the brain and the 'higher' behavior of men and women. As a clinical neurologist, Geschwind was led to these studies particularly by his in terest in those pathologies which have to do with human perception and language. His research into the anatomical substrates of specific dis orders-and strikingly the aphasias -present a fascinating and provocative examination of fundamental questions which will concern not neurologists alone but also psychologists, physicians, linguists, speech pathologists, educators, anthropologists, historians of medicine, and philosophers, among others, namely all those interested in the characteristic modes of human activity, in speech, in perception, and in the learning process generally.
Author : Janine Bijsterbosch
Publisher : Oxford University Press
Page : 157 pages
File Size : 12,66 MB
Release : 2017
Category : Medical
ISBN : 0198808224
For those new to the field of resting state fMRI, the large variety of approaches to functional connectivity analysis is highly confusing. This primer provides an introduction to the concepts and analysis decisions that need to be made at every step of the processing pipeline, starting from data acquisition through to interpretation of findings.
Author : Mingxia Liu
Publisher : Springer Nature
Page : 702 pages
File Size : 28,34 MB
Release : 2020-10-02
Category : Computers
ISBN : 3030598616
This book constitutes the proceedings of the 11th International Workshop on Machine Learning in Medical Imaging, MLMI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 68 papers presented in this volume were carefully reviewed and selected from 101 submissions. They focus on major trends and challenges in the above-mentioned area, aiming to identify new-cutting-edge techniques and their uses in medical imaging. Topics dealt with are: deep learning, generative adversarial learning, ensemble learning, sparse learning, multi-task learning, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection and diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc.