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Psychiatric imaging needs to move away from simple investigations of the neurobiology underling the early phases of psychiatric diseases to translate imaging findings in the clinical field targeting clinical outcomes including transition, remission and response to preventative interventions. This research topic aims to bring psychiatric neuroimaging studies towards translational impacts in clinical practice, suggesting that brain abnormalities may be of potential use for detecting clinical outcomes as treatment response. First-generation psychiatric neuroimaging focused on simple structural brain alterations associated with the neurobiology of the illness. These early studies adopted imaging methods mainly including computerized tomography (CT) to investigate brain size. Second-generation psychiatric neuroimaging studies benefited from more sophisticated techniques which included structural methods (sMRI) coupled with whole-brain automated methods (voxel based morphometry, VBM), white-matter methods (diffusion tensor imaging, DTI and tractography), functional methods (functional magnetic resonance imaging, fMRI) and advanced neurochemical imaging (PET techniques addressing receptor bindings and pre/post synaptic functions, magnetic resonance spectroscopy, MRS) and sophisticated meta-analytical imaging methods. However, no consistent or reliable anatomical or functional brain alterations have been univocally associated with any psychiatric disorder and no clinical applications have been developed in psychiatric neuroimaging. There is thus urgent need of psychiatric imaging to move towards third-generation paradigms. In this research topic, these novel neuroimaging studies here requested to move away from simple investigations of the neurobiology to translate imaging findings in the clinical field targeting longitudinal outcomes including transition, remission and response to preventative interventions. With respect to methods, the most recent neuroimaging approaches (e.g. structural and functional MRI, EEG, DTI, spectroscopy, PET) are welcome. Third generation psychiatric imaging studies including multimodal approaches, multi-center analyses, mega-analyses, effective connectivity, dynamic causal modelling, support vector machines, structural equation modelling, or graph theory analysis are highly appreciated. Furthermore, these third-generation imaging studies may benefit from the incorporation of new sources of neurobiological information such as whole genome sequencing, proteomic, lipidomic and expression profiles and cellular models derived from recent induced pluripotent stem cells research. We collect Original Research, Reviews, Mini-Reviews, Book Review, Clinical Case Study, Clinical Trial, Editorial, General Commentary, Hypothesis & Theory, Methods, Mini Opinion, Perspective, and Technology Report from international researcher and clinicians in this field. The purpose of this research topic is intended to provide the field with current third-generation neuroimaging approaches in translational psychiatry that is hoped to improve and create therapeutic options for psychiatric diseases.

Neuroimaging --- clinical outcomes --- translational psychiatry --- clinical utility --- remission --- Transition --- prediction --- Psychiatry

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Psychiatric imaging needs to move away from simple investigations of the neurobiology underling the early phases of psychiatric diseases to translate imaging findings in the clinical field targeting clinical outcomes including transition, remission and response to preventative interventions. This research topic aims to bring psychiatric neuroimaging studies towards translational impacts in clinical practice, suggesting that brain abnormalities may be of potential use for detecting clinical outcomes as treatment response. First-generation psychiatric neuroimaging focused on simple structural brain alterations associated with the neurobiology of the illness. These early studies adopted imaging methods mainly including computerized tomography (CT) to investigate brain size. Second-generation psychiatric neuroimaging studies benefited from more sophisticated techniques which included structural methods (sMRI) coupled with whole-brain automated methods (voxel based morphometry, VBM), white-matter methods (diffusion tensor imaging, DTI and tractography), functional methods (functional magnetic resonance imaging, fMRI) and advanced neurochemical imaging (PET techniques addressing receptor bindings and pre/post synaptic functions, magnetic resonance spectroscopy, MRS) and sophisticated meta-analytical imaging methods. However, no consistent or reliable anatomical or functional brain alterations have been univocally associated with any psychiatric disorder and no clinical applications have been developed in psychiatric neuroimaging. There is thus urgent need of psychiatric imaging to move towards third-generation paradigms. In this research topic, these novel neuroimaging studies here requested to move away from simple investigations of the neurobiology to translate imaging findings in the clinical field targeting longitudinal outcomes including transition, remission and response to preventative interventions. With respect to methods, the most recent neuroimaging approaches (e.g. structural and functional MRI, EEG, DTI, spectroscopy, PET) are welcome. Third generation psychiatric imaging studies including multimodal approaches, multi-center analyses, mega-analyses, effective connectivity, dynamic causal modelling, support vector machines, structural equation modelling, or graph theory analysis are highly appreciated. Furthermore, these third-generation imaging studies may benefit from the incorporation of new sources of neurobiological information such as whole genome sequencing, proteomic, lipidomic and expression profiles and cellular models derived from recent induced pluripotent stem cells research. We collect Original Research, Reviews, Mini-Reviews, Book Review, Clinical Case Study, Clinical Trial, Editorial, General Commentary, Hypothesis & Theory, Methods, Mini Opinion, Perspective, and Technology Report from international researcher and clinicians in this field. The purpose of this research topic is intended to provide the field with current third-generation neuroimaging approaches in translational psychiatry that is hoped to improve and create therapeutic options for psychiatric diseases.

Neuroimaging --- clinical outcomes --- translational psychiatry --- clinical utility --- remission --- Transition --- prediction --- Psychiatry

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• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Previous research over the past decades has identified diverse neurobiological underpinnings of psychosis. In particular, by combining a variety of different neuroimaging modalities, it has been shown that psychotic states and the actual transition phase from a clinical high-risk state to established psychosis is characterized by structural, functional and neurochemical changes across different brain regions.Further evidence revealed that maybe not only focal brain abnormalities are characteristic for psychosis but specifically also an abnormal functional integration among various brain areas. Some evidence also suggests that dysfunctional brain connectivity proceeds during the development of psychosis when subjects perform a cognitive task. Notably, altered brain connectivity during cognitive challenges was often found to be associated with psychopathological measures, suggesting a mechanistic relation between functional network integrity and the clinical expression of psychosis ... In this research topic, we like to cover the most recent neurobiological correlates for early stage psychosis and in particular for the prediction of psychosis by using different neurophysiological measures (e.g. structural and functional MRI, EEG, DTI or PET). Studies exploring effective connectivity or complex brain networks such as small-world properties with techniques like dynamic causal modelling, structural equation modelling, or graph theory analysis are highly appreciated. Very welcome are studies proving a link between clinical features such as psychopathology and cognition, brain signals, and chemistry (also in regard of antipsychotic treatments or substance-induced psychotic states). Moreover, environmental factors that may influence psychosis onset or its’ developmental processes will be brought together with a diversity of different research modalities. We also collect critical reviews, mini-reviews or theoretical reflections from leading international researcher and clinicians in this field. The purpose of our research topic is intended to provide a state-of-the-art cognitive perspective to consider developing psychosis, which might shed more lights into the pathophysiological and neurobiological mechanisms of psychosis.

Psychoses --- Neuropsychiatry --- Physiological aspects. --- Research. --- Neuroimaging --- psychopathophysiology --- Computational Psychiatry --- psychosis high-risk state --- early detection and intervention --- dysfunctional brain connectivity --- Cognition --- Pharmacology --- psychosis --- prevention