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The ultimate goal of functional brain imaging is to provide optimal estimates of the neural signals flowing through the long-range and local pathways mediating all behavioral performance and conscious experience. In functional MRI (Magnetic Resonance Imaging), despite its impressive spatial resolution, this goal has been somewhat undermined by the fact that the fMRI response is essentially a blood-oxygenation level dependent (BOLD) signal that only indirectly reflects the nearby neural activity. The vast majority of fMRI studies restrict themselves to describing the details of these BOLD signals and deriving non-quantitative inferences about their implications for the underlying neural activity. This Frontiers Research Topic welcomed empirical and theoretical contributions that focus on the explicit relationship of non-invasive brain imaging signals to the causative neural activity. The articles presented within this resulting eBook aim to both highlight the importance and improve the non-invasive estimation of neural signals in the human brain. To achieve this aim, the following issues are targeted: (1) The spatial limitations of source localization when using MEG/EEG. (2) The coupling of the BOLD signal to neural activity. Articles discuss how animal studies are fundamental in increasing our understanding of BOLD fMRI signals, analyze how non-neuronal cell types may contribute to the modulation of cerebral blood flow, and use modeling to improve our understanding of how local field potentials are linked to the BOLD signal. (3) The contribution of excitatory and inhibitory neuronal activity to the BOLD signal. (4) Assessment of neural connectivity through the use of resting state data, computational modeling and functional Diffusion Tensor Imaging (fDTI) approaches.
Neuroimaging --- functional MRI --- human brain --- connectivity --- EEG --- DTI --- neurovascular --- neural signal estimation --- BOLD --- MEG
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The ultimate goal of functional brain imaging is to provide optimal estimates of the neural signals flowing through the long-range and local pathways mediating all behavioral performance and conscious experience. In functional MRI (Magnetic Resonance Imaging), despite its impressive spatial resolution, this goal has been somewhat undermined by the fact that the fMRI response is essentially a blood-oxygenation level dependent (BOLD) signal that only indirectly reflects the nearby neural activity. The vast majority of fMRI studies restrict themselves to describing the details of these BOLD signals and deriving non-quantitative inferences about their implications for the underlying neural activity. This Frontiers Research Topic welcomed empirical and theoretical contributions that focus on the explicit relationship of non-invasive brain imaging signals to the causative neural activity. The articles presented within this resulting eBook aim to both highlight the importance and improve the non-invasive estimation of neural signals in the human brain. To achieve this aim, the following issues are targeted: (1) The spatial limitations of source localization when using MEG/EEG. (2) The coupling of the BOLD signal to neural activity. Articles discuss how animal studies are fundamental in increasing our understanding of BOLD fMRI signals, analyze how non-neuronal cell types may contribute to the modulation of cerebral blood flow, and use modeling to improve our understanding of how local field potentials are linked to the BOLD signal. (3) The contribution of excitatory and inhibitory neuronal activity to the BOLD signal. (4) Assessment of neural connectivity through the use of resting state data, computational modeling and functional Diffusion Tensor Imaging (fDTI) approaches.
Neuroimaging --- functional MRI --- human brain --- connectivity --- EEG --- DTI --- neurovascular --- neural signal estimation --- BOLD --- MEG
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The ultimate goal of functional brain imaging is to provide optimal estimates of the neural signals flowing through the long-range and local pathways mediating all behavioral performance and conscious experience. In functional MRI (Magnetic Resonance Imaging), despite its impressive spatial resolution, this goal has been somewhat undermined by the fact that the fMRI response is essentially a blood-oxygenation level dependent (BOLD) signal that only indirectly reflects the nearby neural activity. The vast majority of fMRI studies restrict themselves to describing the details of these BOLD signals and deriving non-quantitative inferences about their implications for the underlying neural activity. This Frontiers Research Topic welcomed empirical and theoretical contributions that focus on the explicit relationship of non-invasive brain imaging signals to the causative neural activity. The articles presented within this resulting eBook aim to both highlight the importance and improve the non-invasive estimation of neural signals in the human brain. To achieve this aim, the following issues are targeted: (1) The spatial limitations of source localization when using MEG/EEG. (2) The coupling of the BOLD signal to neural activity. Articles discuss how animal studies are fundamental in increasing our understanding of BOLD fMRI signals, analyze how non-neuronal cell types may contribute to the modulation of cerebral blood flow, and use modeling to improve our understanding of how local field potentials are linked to the BOLD signal. (3) The contribution of excitatory and inhibitory neuronal activity to the BOLD signal. (4) Assessment of neural connectivity through the use of resting state data, computational modeling and functional Diffusion Tensor Imaging (fDTI) approaches.
Neuroimaging --- functional MRI --- human brain --- connectivity --- EEG --- DTI --- neurovascular --- neural signal estimation --- BOLD --- MEG
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The concepts behind diffusion tensor imaging (DTI) are commonly difficult to grasp, even for magnetic resonance physicists. To make matters worse, a many more complex higher-order methods have been proposed over the last few years to overcome the now well-known deficiencies of DTI. In Introduction to Diffusion Tensor Imaging: And Higher Order Models, these concepts are explained through extensive use of illustrations rather than equations to help readers gain a more intuitive understanding of the inner workings of these techniques. Emphasis is placed on the interpretation of DTI imag
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The concept of Diffusion Tensor Imaging (DTI) is often difficult to grasp, even for Magnetic Resonance physicists. Introduction to Diffusion Tensor Imaging uses extensive illustrations (not equations) to help readers to understand how DTI works. Emphasis is placed on the interpretation of DTI images, the design of DTI experiments, and the forms of application studies. The theory of DTI is constantly evolving and so there is a need for a textbook that explains how the technique works in a way that is easy to understand - Introduction to Diffusion Tensor Imaging fills this gap.
Spectrometric and optical chemical analysis --- Physical methods for diagnosis --- fysicochemie --- Diffusion tensor imaging. --- Brain --- DTI (Diffusion tensor imaging) --- Magnetic resonance diffusion tensor imaging --- Diffusion magnetic resonance imaging --- Magnetic resonance imaging.
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Early human development from late gestation to the neonatal period is a critical time in the individual’s life span. Medical issues that compromise the brain functions during late gestation and the first months of life could lead to different developmental problems with consequent lifelong burdens for the growing individuals and their families, and a major socio-economic impact for the health care system and the whole of society. Any potential alleviation of perinatal adversities holds promise of an improved quality of life for the individual, and a major benefit for the society at large. It remains a concerted worldwide effort to improve our understanding on effective monitoring systems and clinical diagnostic procedures to reduce fetal impairment and improve healthcare in the neonatal and infant period. The focus of this Research Topic will be on the most recent developments and findings in the field of non-invasive functional brain monitoring in order to: 1) increase our knowledge on novel diagnostic tools and procedures for the surveillance of fetuses and newborn babies, 2) help us to perform high quality functional assessment of the developing human brain during pregnancy and after birth, 3) understand and diagnose pathological developments with a potentially high clinical and societal impact, 4) understand how to improve perinatal and infant care. Potential topics include, but are not restricted to: 1) non-invasive electrophysiological monitoring technologies for brain function in the fetus, neonate and infant, such as electroencephalography (EEG), magnetoencephalography (MEG), functional magnetic resonance imaging (fMRI) and near infra-red spectroscopy (NIRS), 2) novel or consolidated analytical methods and models for the quantification and interpretation of the functional signals recorded from the developing brain, 3) typical and atypical brain development during pregnancy and the first years of life, 4) personalized clinical diagnostic procedures for perinatal and paediatric surveillance.
Fetus --- Newborn infants --- Neurosciences --- Brain --- Development. --- Research. --- Imaging. --- embryology. --- magnetic resonance imaging (MRI) --- Electroencephalography (EEG) --- prematurity --- neurodevelopment --- connectivity --- Brain monitoring --- cerebral blood flow --- autonomic nervous system (ANS) --- Diffusion tensor imaging (DTI) --- fetal magnetocardiography (fMCG)
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Early human development from late gestation to the neonatal period is a critical time in the individual’s life span. Medical issues that compromise the brain functions during late gestation and the first months of life could lead to different developmental problems with consequent lifelong burdens for the growing individuals and their families, and a major socio-economic impact for the health care system and the whole of society. Any potential alleviation of perinatal adversities holds promise of an improved quality of life for the individual, and a major benefit for the society at large. It remains a concerted worldwide effort to improve our understanding on effective monitoring systems and clinical diagnostic procedures to reduce fetal impairment and improve healthcare in the neonatal and infant period. The focus of this Research Topic will be on the most recent developments and findings in the field of non-invasive functional brain monitoring in order to: 1) increase our knowledge on novel diagnostic tools and procedures for the surveillance of fetuses and newborn babies, 2) help us to perform high quality functional assessment of the developing human brain during pregnancy and after birth, 3) understand and diagnose pathological developments with a potentially high clinical and societal impact, 4) understand how to improve perinatal and infant care. Potential topics include, but are not restricted to: 1) non-invasive electrophysiological monitoring technologies for brain function in the fetus, neonate and infant, such as electroencephalography (EEG), magnetoencephalography (MEG), functional magnetic resonance imaging (fMRI) and near infra-red spectroscopy (NIRS), 2) novel or consolidated analytical methods and models for the quantification and interpretation of the functional signals recorded from the developing brain, 3) typical and atypical brain development during pregnancy and the first years of life, 4) personalized clinical diagnostic procedures for perinatal and paediatric surveillance.
Fetus --- Newborn infants --- Neurosciences --- Brain --- Development. --- Research. --- Imaging. --- embryology. --- magnetic resonance imaging (MRI) --- Electroencephalography (EEG) --- prematurity --- neurodevelopment --- connectivity --- Brain monitoring --- cerebral blood flow --- autonomic nervous system (ANS) --- Diffusion tensor imaging (DTI) --- fetal magnetocardiography (fMCG)
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Early human development from late gestation to the neonatal period is a critical time in the individual’s life span. Medical issues that compromise the brain functions during late gestation and the first months of life could lead to different developmental problems with consequent lifelong burdens for the growing individuals and their families, and a major socio-economic impact for the health care system and the whole of society. Any potential alleviation of perinatal adversities holds promise of an improved quality of life for the individual, and a major benefit for the society at large. It remains a concerted worldwide effort to improve our understanding on effective monitoring systems and clinical diagnostic procedures to reduce fetal impairment and improve healthcare in the neonatal and infant period. The focus of this Research Topic will be on the most recent developments and findings in the field of non-invasive functional brain monitoring in order to: 1) increase our knowledge on novel diagnostic tools and procedures for the surveillance of fetuses and newborn babies, 2) help us to perform high quality functional assessment of the developing human brain during pregnancy and after birth, 3) understand and diagnose pathological developments with a potentially high clinical and societal impact, 4) understand how to improve perinatal and infant care. Potential topics include, but are not restricted to: 1) non-invasive electrophysiological monitoring technologies for brain function in the fetus, neonate and infant, such as electroencephalography (EEG), magnetoencephalography (MEG), functional magnetic resonance imaging (fMRI) and near infra-red spectroscopy (NIRS), 2) novel or consolidated analytical methods and models for the quantification and interpretation of the functional signals recorded from the developing brain, 3) typical and atypical brain development during pregnancy and the first years of life, 4) personalized clinical diagnostic procedures for perinatal and paediatric surveillance.
Fetus --- Newborn infants --- Neurosciences --- Brain --- magnetic resonance imaging (MRI) --- Electroencephalography (EEG) --- prematurity --- neurodevelopment --- connectivity --- Brain monitoring --- cerebral blood flow --- autonomic nervous system (ANS) --- Diffusion tensor imaging (DTI) --- fetal magnetocardiography (fMCG) --- Development. --- Research. --- Imaging. --- embryology.
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This book provides an overview of the practical aspects of diffusion tensor imaging (DTI), from understanding the basis of the technique through selection of the right protocols, trouble-shooting data quality, and analyzing DTI data optimally. DTI is a non-invasive magnetic resonance imaging (MRI) technique for visualizing and quantifying tissue microstructure based on diffusion. The book discusses the theoretical background underlying DTI and advanced techniques based on higher-order models and multi-shell diffusion imaging. It covers the practical implementation of DTI; derivation of information from DTI data; and a range of clinical applications, including neurosurgical planning and the assessment of brain tumors. Its practical utility is enhanced by decision schemes and a fully annotated DTI brain atlas, including color fractional anisotropy maps and 3D tractography reconstructions of major white matter fiber bundles. Featuring contributions from leading specialists in the field of DTI, Diffusion Tensor Imaging: A Practical Handbook is a valuable resource for radiologists, neuroradiologists, MRI technicians, and clinicians.
Brain --- Diffusion tensor imaging. --- Magnetic resonance imaging. --- DTI (Diffusion tensor imaging) --- Magnetic resonance diffusion tensor imaging --- Diffusion magnetic resonance imaging --- Radiology, Medical. --- Neurology. --- Neurosciences. --- Neuroradiology. --- Diagnostic Radiology. --- Neural sciences --- Neurological sciences --- Neuroscience --- Medical sciences --- Nervous system --- Medicine --- Neuropsychiatry --- Clinical radiology --- Radiology, Medical --- Radiology (Medicine) --- Medical physics --- Diseases --- Diffusion Tensor Imaging --- DTI MRI --- Diffusion Tensor MRI --- Diffusion Tensor Magnetic Resonance Imaging --- Diffusion Tractography --- Diffusion Tensor MRIs --- Imaging, Diffusion Tensor --- MRI, Diffusion Tensor --- Tractography, Diffusion --- Radiology. --- Neurology . --- Radiological physics --- Physics --- Radiation --- Neuroradiography --- Neuroradiology
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This Special Issue contains articles discussing various topics surrounding degenerative cervical myelopathy. The Issue begins with an editorial summarizing the various articles, and is followed by an introductory narrative review focusing on past perspectives, present developments, and future directions. The remaining 11 articles involve a variety of topics, ranging from genetic factors to clinical assessments, imaging, sagittal balance, surgical treatment, and outcome prediction.
EQ-5D --- PROMIS --- spine --- transformation --- quality of life --- patient outcomes --- validation --- degenerative cervical myelopathy --- elderly --- old age --- outcomes --- complications --- mJOA --- SF-36 --- cervical canal stenosis --- cervical spine surgery --- higher-aged patients --- neurological outcome --- mJOA Score --- MCID --- genetics --- single nucleotide polymorphism --- ossification posterior longitudinal ligament --- severity --- surgery --- focus issue --- update --- cervical spondylotic myelopathy --- compressive myelopathy --- cervical spondylotic myelopathy (CSM) --- prospective --- multicenter --- anterior --- posterior --- cervical alignment --- kyphosis --- spinopelvic parameter --- laminoplasty --- myelopathy --- physical impairment --- gait --- locomotion --- gait assessment --- enhanced gait variability index --- degenerative cervical myelopathy (DCM) --- surgical outcome --- MRI --- DTI --- FA --- ADC --- signal changes spinal canal --- neurophysiology --- SSEP --- MEP --- cervical myelopathy --- spinal cord compression --- rheumatoid arthritis (RA) --- cranial settling (CS) --- atlantoaxial subluxation (AAS) --- atlantoaxial instability (AAI) --- diffusion tensor imaging (DTI) --- fractional anisotropy (FA) --- cervical MRI --- myelopathy hand --- snake-eye --- owl sign --- Hirayama disease --- introduction --- spinal cord injury --- spondylosis
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