As we enter the third decade of the 21st Century major advances in the fast-growing field of mental health have been exceptional. Frontiers have organized a series of Research Topics to highlight the latest advances in mental health research.
The Neuroscience portfolio at Frontiers is launching Research Topics to promote international scientific awareness of mental health disorders. Over the past few decades, major progress has been made toward addressing inequalities for people with mental health Disorders, which have been exacerbated by the COVID-19 pandemic with disproportionate increases in loneliness, disruptions to routines, and services and support systems.
This Research Topic article collection will focus on neuroscience research that can inform solutions for creating a culture of awareness, understanding, and solidarity, with this Topic focusing on the progress and challenges still faced in understanding the Neuroimaging in Schizophrenia research.
The Research Topic solicits brief, forward-looking contributions from researchers around the globe that describe the state of the art, outline recent developments and major accomplishments that have been achieved and what needs to occur to move the field forward. Authors are encouraged to identify the greatest challenges in their sub-disciplines, and to formulate how to begin to address those challenges.
This special edition Research Topic aims to shed light on the progress made in the past decade in the field of Clinical Neuroimaging and Schizophrenia and on the challenges ahead while providing a thorough overview of the state of the art in Clinical Neuroimaging. This article collection is intended to inspire, inform and provide direction and guidance to researchers in the field.
• Studies involved in investigating the hypothesis that Schizophrenia is a brain disconnection syndrome
• Investigating abnormal interactions between widespread brain networks
• Using resting-state functional magnetic resonance imaging (R-fMRI) to explore the dysconnectivity of brain networks in Schizophrenia
• Using Seed-based functional connectivity analysis, spatial independent component analysis (ICA), and graph theory-based to quantify brain network connectivity in R-fMRI data
• How findings from these techniques can be associated with clinical symptoms of the illness
• Examining disrupted topological properties and altered modular community structure of brain systems in Schizophrenia
• How brain network deficits can advance our understanding of the underlying pathology of Schizophrenia
As we enter the third decade of the 21st Century major advances in the fast-growing field of mental health have been exceptional. Frontiers have organized a series of Research Topics to highlight the latest advances in mental health research.
The Neuroscience portfolio at Frontiers is launching Research Topics to promote international scientific awareness of mental health disorders. Over the past few decades, major progress has been made toward addressing inequalities for people with mental health Disorders, which have been exacerbated by the COVID-19 pandemic with disproportionate increases in loneliness, disruptions to routines, and services and support systems.
This Research Topic article collection will focus on neuroscience research that can inform solutions for creating a culture of awareness, understanding, and solidarity, with this Topic focusing on the progress and challenges still faced in understanding the Neuroimaging in Schizophrenia research.
The Research Topic solicits brief, forward-looking contributions from researchers around the globe that describe the state of the art, outline recent developments and major accomplishments that have been achieved and what needs to occur to move the field forward. Authors are encouraged to identify the greatest challenges in their sub-disciplines, and to formulate how to begin to address those challenges.
This special edition Research Topic aims to shed light on the progress made in the past decade in the field of Clinical Neuroimaging and Schizophrenia and on the challenges ahead while providing a thorough overview of the state of the art in Clinical Neuroimaging. This article collection is intended to inspire, inform and provide direction and guidance to researchers in the field.
• Studies involved in investigating the hypothesis that Schizophrenia is a brain disconnection syndrome
• Investigating abnormal interactions between widespread brain networks
• Using resting-state functional magnetic resonance imaging (R-fMRI) to explore the dysconnectivity of brain networks in Schizophrenia
• Using Seed-based functional connectivity analysis, spatial independent component analysis (ICA), and graph theory-based to quantify brain network connectivity in R-fMRI data
• How findings from these techniques can be associated with clinical symptoms of the illness
• Examining disrupted topological properties and altered modular community structure of brain systems in Schizophrenia
• How brain network deficits can advance our understanding of the underlying pathology of Schizophrenia
