Magnetoencephalography (MEG) and Diffusion Tensor Imaging (DTI) are important tools for probing functional and structural properties of the brain. The interactions between the brain’s local and long-range circuitry could provide a key to understanding schizophrenia as a disorder of dysconnectivity and related risk factors in the healthy population. The aim in the first chapters of this thesis was to understand how high frequency local visual circuitry and long-range low frequency connectivity can be best estimated from MEG data. It was shown that using a finer sampling grid in source estimation leads to improved measures of high frequency responses. Furthermore, that networks usually measured in the resting-state can be extracted from task...
BACKGROUND: The dysconnection hypothesis has been proposed to account for pathophysiological mechani...
Empirical studies over the past two decades have provided support for the hypothesis that schizophre...
The work presented in this thesis aims to increase clinical capacity for magnetoencephalography (MEG...
Magnetoencephalography (MEG) and Diffusion Tensor Imaging (DTI) are important tools for probing func...
Magnetoencephalography (MEG) and Diffusion Tensor Imaging (DTI) are important tools for probing func...
Magnetoencephalography (MEG) and Diffusion Tensor Imaging (DTI) are important tools for probing func...
© 2016 The Authors. Recent years have shown the critical importance of inter-regional neural network...
© 2016 The Authors. Recent years have shown the critical importance of inter-regional neural network...
IntroductionThe cognitive and psychotic symptoms in patients with schizophrenia (SZ) are thought to ...
AbstractRecent years have shown the critical importance of inter-regional neural network connectivit...
The pathophysiology of schizophrenia may fundamentally involve a disturbance in the interaction betw...
Schizophrenia is a severe and enduring mental illness with psychopathology including positive sympt...
Schizophrenia is a severe and enduring mental illness with psychopathology including positive sympt...
© 2017 Dr. Eleni GanellaSchizophrenia is a severe mental disorder that is characterised by symptoms ...
Schizophrenia is a severe and enduring mental illness with psychopathology including positive sympt...
BACKGROUND: The dysconnection hypothesis has been proposed to account for pathophysiological mechani...
Empirical studies over the past two decades have provided support for the hypothesis that schizophre...
The work presented in this thesis aims to increase clinical capacity for magnetoencephalography (MEG...
Magnetoencephalography (MEG) and Diffusion Tensor Imaging (DTI) are important tools for probing func...
Magnetoencephalography (MEG) and Diffusion Tensor Imaging (DTI) are important tools for probing func...
Magnetoencephalography (MEG) and Diffusion Tensor Imaging (DTI) are important tools for probing func...
© 2016 The Authors. Recent years have shown the critical importance of inter-regional neural network...
© 2016 The Authors. Recent years have shown the critical importance of inter-regional neural network...
IntroductionThe cognitive and psychotic symptoms in patients with schizophrenia (SZ) are thought to ...
AbstractRecent years have shown the critical importance of inter-regional neural network connectivit...
The pathophysiology of schizophrenia may fundamentally involve a disturbance in the interaction betw...
Schizophrenia is a severe and enduring mental illness with psychopathology including positive sympt...
Schizophrenia is a severe and enduring mental illness with psychopathology including positive sympt...
© 2017 Dr. Eleni GanellaSchizophrenia is a severe mental disorder that is characterised by symptoms ...
Schizophrenia is a severe and enduring mental illness with psychopathology including positive sympt...
BACKGROUND: The dysconnection hypothesis has been proposed to account for pathophysiological mechani...
Empirical studies over the past two decades have provided support for the hypothesis that schizophre...
The work presented in this thesis aims to increase clinical capacity for magnetoencephalography (MEG...