Neuropsychiatric disorders have a huge impact on individuals, families and societies. However, the neuropathology underlying cognitive deficits in neuropsychiatric disorders remains unclear. Resting-state functional connectivity provides a powerful way to investigate functional alterations underlying cognitive deficits in neuropsychiatric disorders. Traditional FC analysis measures the correlations of signals with an assumption that functional connectivity remains constant during the observation period. In recent years, several studies have demonstrated the feasibility of dynamic methods in characterization of functional brain changes, such as dynamic functional connectivity investigated by a sliding window method. However, selection of window size, window stepsize and window type are open areas of research and an important parameter to capture the resting-state FC dynamics.
Thus, this Research Topic focuses on the recent developments in dynamic methods and models based on resting-state fMRI, and their applications in neuropsychiatric disorders. We welcome manuscript submission in the following areas but not limited to:
1. Studies using dynamic functional connectivity in neuropsychiatric disorders, such as somatization disorder (SD), major depressive disorder (MDD), general anxiety disorder (GAD), panic disorder (PD), schizophrenia, blepharospasm, bipolar disorder, obsessive compulsive disorder, eating disorder, and cervical dystonia.
2. Studies using other dynamic methods (e.g., regression-based dynamic method and sliding window method) in neuropsychiatric disorders.
3. Other dynamic metrics (e.g., dynamic ReHo or ALFF) are also within the scope of this Research Topic.
4. Functional MRI studies to explore the possible mechanism underlying cognitive deficits in neuropsychiatric disorders.
Researchers in this field are warmly welcomed to contribute an original article, technical and methodological report, or review article to this Research Topic.
This Research Topic will synthesize present knowledge about cognitive deficits and explore neuropathological mechanisms underlying cognitive deficits by using different brain imaging methods, and thus new methods may be developed. This topic will also address important conceptual and methodological questions. Clinicians will be benefit from this topic in regard to theoretical, experimental and clinical questions related to the nature, origins and functions of cognitive deficits in neuropsychiatric disorders.
Neuropsychiatric disorders have a huge impact on individuals, families and societies. However, the neuropathology underlying cognitive deficits in neuropsychiatric disorders remains unclear. Resting-state functional connectivity provides a powerful way to investigate functional alterations underlying cognitive deficits in neuropsychiatric disorders. Traditional FC analysis measures the correlations of signals with an assumption that functional connectivity remains constant during the observation period. In recent years, several studies have demonstrated the feasibility of dynamic methods in characterization of functional brain changes, such as dynamic functional connectivity investigated by a sliding window method. However, selection of window size, window stepsize and window type are open areas of research and an important parameter to capture the resting-state FC dynamics.
Thus, this Research Topic focuses on the recent developments in dynamic methods and models based on resting-state fMRI, and their applications in neuropsychiatric disorders. We welcome manuscript submission in the following areas but not limited to:
1. Studies using dynamic functional connectivity in neuropsychiatric disorders, such as somatization disorder (SD), major depressive disorder (MDD), general anxiety disorder (GAD), panic disorder (PD), schizophrenia, blepharospasm, bipolar disorder, obsessive compulsive disorder, eating disorder, and cervical dystonia.
2. Studies using other dynamic methods (e.g., regression-based dynamic method and sliding window method) in neuropsychiatric disorders.
3. Other dynamic metrics (e.g., dynamic ReHo or ALFF) are also within the scope of this Research Topic.
4. Functional MRI studies to explore the possible mechanism underlying cognitive deficits in neuropsychiatric disorders.
Researchers in this field are warmly welcomed to contribute an original article, technical and methodological report, or review article to this Research Topic.
This Research Topic will synthesize present knowledge about cognitive deficits and explore neuropathological mechanisms underlying cognitive deficits by using different brain imaging methods, and thus new methods may be developed. This topic will also address important conceptual and methodological questions. Clinicians will be benefit from this topic in regard to theoretical, experimental and clinical questions related to the nature, origins and functions of cognitive deficits in neuropsychiatric disorders.