A modified Linear Estimation Approach was performed to reconstruct current sources within the heart. Based on MRI data sets the Boundary Element Method was used to create tailored multicompartment models of the human thorax which were used to solve the forward problem of magnetocardiography. The ability of the proposed method was demonstrated for the localization of a single current dipole as an example of a focal source. By means of introducing small shiftings to all reconstruction dipoles during linear estimation solution as well as performing a successive focussing strategy ignoring places without significant electrical activity the method could easily be extended to the reconstruction of real 3D sources. Based on a special minimum-norm solution the source volume can be estimated applying a finite element approximation using cube elements. The size of an extended current source can be estimated by superimposing the reconstructed dipoles to an equivalent dipole and comparing the corresponding volume with the sphere which would be related to the equivalent dipole. The deviation of these volumes can be taken as a criterion for non-dipolarity of sources.

A modified Linear Estimation Approach was performed to reconstruct current sources within the heart. Based on MRI data sets the Boundary Element Method was used to create tailored multicompartment models of the human thorax which were used to solve the forward problem of magnetocardiography. The ability of the proposed method was demonstrated for the localization of a single current dipole as an example of a focal source. By means of introducing small shiftings to all reconstruction dipoles during linear estimation solution as well as performing a successive focussing strategy ignoring places without significant electrical activity the method could easily be extended to the reconstruction of real 3D sources. Based on a special minimum-norm solution the source volume can be estimated applying a finite element approximation using cube elements. The size of an extended current source can be estimated by superimposing the reconstructed dipoles to an equivalent dipole and comparing the corresponding volume with the sphere which would be related to the equivalent dipole. The deviation of these volumes can be taken as a criterion for non-dipolarity of sources.

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. This handbook covers the rich and transdisciplinary nature of the MEG field. The underlying motivation for this book was to make this diverse and extensive collection of chapters available to both newcomers and experienced researchers with the hope of stimulating growth in the MEG area.  The book is a comprehensive knowledge base of MEG basics along with the latest developments in methodological, empirical and clinical research, directed toward masters and doctoral students, as well as researchers already in the field. 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, along with an overview of major open-source analysis tools.The 2nd edition, which is now presented as a Springer Reference, has 9 sections compared to 5 in the first edition and includes a total of 61 chapters. It provides more in-depth tutorials on MEG as an enabling tool in neuroscienceand on linear source estimation and spatial filtering approaches.  A set of 11 new chapters and 20 updated chapters cover, among others, new topics such as simultaneous MEG and intracerebral EEG recordings, MEG studies on time processing and temporal cognition, open source MNE software, presurgical localization of language, emerging zero helium boil-off MEG technologies and provides updates on novel multi-modal fusion and related modeling approaches, open source analysis packages, neural decoding and MEG Brain Computer Interface, organizational cognitive neuroscience as well as developmental studies and clinical applications. In the last two years significant advances have been made in the field of novel sensor development, particularly for optically pumped magnetometers (OPMs) which are leading the way to a new generation of wearable MEG systems. Included in this new edition is a new chapter covering the topic of “on-scalp” MEG and an updated chapter on OPMs.The book was edited by a board of internationally renowned scientists serving as Section Editors:Part I: MEG Tutorials: Seppo Ahlfors                   Part II: Source Analysis and Multi-modal Integration: Selma Supek and Cheryl J. AinePart III: Open Source Analysis Packages: Alexandre GramfortPart IV: Functional Connectivity and Oscillatory Activity: Matthew BrooksPart V: Neurodevelopment Across Lifespan: Julia M. StephenPart VI: Sensory and Cognitive Studies: Catherine Tallon-BaudryPart VII: Clinical Application and Translational Studies: Nobukazu NakasatoPart VIII: Novel Brain Research Topics: Lauri Parkkonen Part IX: Emerging Technologies: Risto Ilmoniemi

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. This handbook covers the rich and transdisciplinary nature of the MEG field. The underlying motivation for this book was to make this diverse and extensive collection of chapters available to both newcomers and experienced researchers with the hope of stimulating growth in the MEG area. 

The book is a comprehensive knowledge base of MEG basics along with the latest developments in methodological, empirical and clinical research, directed toward masters and doctoral students, as well as researchers already in the field. 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, along with an overview of major open-source analysis tools.

The 2nd edition, which is now presented as a Springer Reference, has 9 sections compared to 5 in the first edition and includes a total of 61 chapters. It provides more in-depth tutorials on MEG as an enabling tool in neuroscienceand on linear source estimation and spatial filtering approaches.  A set of 11 new chapters and 20 updated chapters cover, among others, new topics such as simultaneous MEG and intracerebral EEG recordings, MEG studies on time processing and temporal cognition, open source MNE software, presurgical localization of language, emerging zero helium boil-off MEG technologies and provides updates on novel multi-modal fusion and related modeling approaches, open source analysis packages, neural decoding and MEG Brain Computer Interface, organizational cognitive neuroscience as well as developmental studies and clinical applications. In the last two years significant advances have been made in the field of novel sensor development, particularly for optically pumped magnetometers (OPMs) which are leading the way to a new generation of wearable MEG systems. Included in this new edition is a new chapter covering the topic of “on-scalp” MEG and an updated chapter on OPMs.

The book was edited by a board of internationally renowned scientists serving as Section Editors:

Part I: MEG Tutorials: Seppo Ahlfors                  

Part II: Source Analysis and Multi-modal Integration: Selma Supek and Cheryl J. Aine

Part III: Open Source Analysis Packages: Alexandre Gramfort

Part IV: Functional Connectivity and Oscillatory Activity: Matthew Brooks

Part V: Neurodevelopment Across Lifespan: Julia M. Stephen

Part VI: Sensory and Cognitive Studies: Catherine Tallon-Baudry

Part VII: Clinical Application and Translational Studies: Nobukazu Nakasato

Part VIII: Novel Brain Research Topics: Lauri Parkkonen

Part IX: Emerging Technologies: Risto Ilmoniemi

A modified Linear Estimation Approach was performed to reconstruct current sources within the heart. Based on MRI data sets the Boundary Element Method was used to create tailored multicompartment models of the human thorax which were used to solve the forward problem of magnetocardiography. The ability of the proposed method was demonstrated for the localization of a single current dipole as an example of a focal source. By means of introducing small shiftings to all reconstruction dipoles during linear estimation solution as well as performing a successive focussing strategy ignoring places without significant electrical activity the method could easily be extended to the reconstruction of real 3D sources. Based on a special minimum-norm solution the source volume can be estimated applying a finite element approximation using cube elements. The size of an extended current source can be estimated by superimposing the reconstructed dipoles to an equivalent dipole and comparing the corresponding volume with the sphere which would be related to the equivalent dipole. The deviation of these volumes can be taken as a criterion for non-dipolarity of sources.

A modified Linear Estimation Approach was performed to reconstruct current sources within the heart. Based on MRI data sets the Boundary Element Method was used to create tailored multicompartment models of the human thorax which were used to solve the forward problem of magnetocardiography. The ability of the proposed method was demonstrated for the localization of a single current dipole as an example of a focal source. By means of introducing small shiftings to all reconstruction dipoles during linear estimation solution as well as performing a successive focussing strategy ignoring places without significant electrical activity the method could easily be extended to the reconstruction of real 3D sources. Based on a special minimum-norm solution the source volume can be estimated applying a finite element approximation using cube elements. The size of an extended current source can be estimated by superimposing the reconstructed dipoles to an equivalent dipole and comparing the corresponding volume with the sphere which would be related to the equivalent dipole. The deviation of these volumes can be taken as a criterion for non-dipolarity of sources.

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. This handbook covers the rich and transdisciplinary nature of the MEG field. The underlying motivation for this book was to make this diverse and extensive collection of chapters available to both newcomers and experienced researchers with the hope of stimulating growth in the MEG area.  The book is a comprehensive knowledge base of MEG basics along with the latest developments in methodological, empirical and clinical research, directed toward masters and doctoral students, as well as researchers already in the field. 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, along with an overview of major open-source analysis tools.The 2nd edition, which is now presented as a Springer Reference, has 9 sections compared to 5 in the first edition and includes a total of 61 chapters. It provides more in-depth tutorials on MEG as an enabling tool in neuroscienceand on linear source estimation and spatial filtering approaches.  A set of 11 new chapters and 20 updated chapters cover, among others, new topics such as simultaneous MEG and intracerebral EEG recordings, MEG studies on time processing and temporal cognition, open source MNE software, presurgical localization of language, emerging zero helium boil-off MEG technologies and provides updates on novel multi-modal fusion and related modeling approaches, open source analysis packages, neural decoding and MEG Brain Computer Interface, organizational cognitive neuroscience as well as developmental studies and clinical applications. In the last two years significant advances have been made in the field of novel sensor development, particularly for optically pumped magnetometers (OPMs) which are leading the way to a new generation of wearable MEG systems. Included in this new edition is a new chapter covering the topic of “on-scalp” MEG and an updated chapter on OPMs.The book was edited by a board of internationally renowned scientists serving as Section Editors:Part I: MEG Tutorials: Seppo Ahlfors                   Part II: Source Analysis and Multi-modal Integration: Selma Supek and Cheryl J. AinePart III: Open Source Analysis Packages: Alexandre GramfortPart IV: Functional Connectivity and Oscillatory Activity: Matthew BrooksPart V: Neurodevelopment Across Lifespan: Julia M. StephenPart VI: Sensory and Cognitive Studies: Catherine Tallon-BaudryPart VII: Clinical Application and Translational Studies: Nobukazu NakasatoPart VIII: Novel Brain Research Topics: Lauri Parkkonen Part IX: Emerging Technologies: Risto Ilmoniemi

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. This handbook covers the rich and transdisciplinary nature of the MEG field. The underlying motivation for this book was to make this diverse and extensive collection of chapters available to both newcomers and experienced researchers with the hope of stimulating growth in the MEG area. 

The book is a comprehensive knowledge base of MEG basics along with the latest developments in methodological, empirical and clinical research, directed toward masters and doctoral students, as well as researchers already in the field. 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, along with an overview of major open-source analysis tools.

The 2nd edition, which is now presented as a Springer Reference, has 9 sections compared to 5 in the first edition and includes a total of 61 chapters. It provides more in-depth tutorials on MEG as an enabling tool in neuroscienceand on linear source estimation and spatial filtering approaches.  A set of 11 new chapters and 20 updated chapters cover, among others, new topics such as simultaneous MEG and intracerebral EEG recordings, MEG studies on time processing and temporal cognition, open source MNE software, presurgical localization of language, emerging zero helium boil-off MEG technologies and provides updates on novel multi-modal fusion and related modeling approaches, open source analysis packages, neural decoding and MEG Brain Computer Interface, organizational cognitive neuroscience as well as developmental studies and clinical applications. In the last two years significant advances have been made in the field of novel sensor development, particularly for optically pumped magnetometers (OPMs) which are leading the way to a new generation of wearable MEG systems. Included in this new edition is a new chapter covering the topic of “on-scalp” MEG and an updated chapter on OPMs.

The book was edited by a board of internationally renowned scientists serving as Section Editors:

Part I: MEG Tutorials: Seppo Ahlfors                  

Part II: Source Analysis and Multi-modal Integration: Selma Supek and Cheryl J. Aine

Part III: Open Source Analysis Packages: Alexandre Gramfort

Part IV: Functional Connectivity and Oscillatory Activity: Matthew Brooks

Part V: Neurodevelopment Across Lifespan: Julia M. Stephen

Part VI: Sensory and Cognitive Studies: Catherine Tallon-Baudry

Part VII: Clinical Application and Translational Studies: Nobukazu Nakasato

Part VIII: Novel Brain Research Topics: Lauri Parkkonen

Part IX: Emerging Technologies: Risto Ilmoniemi