There has been increasing interests in exploring biomarkers from brain images, aiming to have a better understanding and a more effective diagnosis of brain disorders such as schizophrenia, bipolar disorder, schizoaffective disorder, autism spectrum disorder, attention-deficit/hyperactivity disorder, Alzheimer's disease and so on. Therefore, it is important to identify disease-specific changes for distinguishing healthy controls and patients with brain disorders as well as for differentiating patients with different disorders showing similar clinical symptoms. Biomarkers can be identified from different types of brain Imaging techniques including functional magnetic resonance imaging (fMRI), structural MRI, positron emission tomography (PET), electroencephalography (EEG), and magnetoencephalography (MEG) by using statistical analysis methods. Furthermore, based on measures from brain imaging techniques, machine learning techniques can help to classify or predict disease for individual subjects. In fact, fusion of features from multiple modalities may benefit the understanding of disease mechanism and improve the classification performance.
This Research Topic aims to further explore the functional or structural alterations in brain disorders. We seek to gather a broad range of papers in terms of identifying group differences among different populations and classifying (or predicting) brain disorders using the above mentioned brain imaging techniques. New methods, techniques and tools that are proposed to analyze brain images also are welcome. Relevant brain diseases may include, but are not limited to, schizophrenia, bipolar disorder, schizoaffective disorder, autism spectrum disorder, attention-deficit/hyperactivity disorder, and Alzheimer's disease. The aim of this Research Topic will be to broaden our understanding of different brain diseases.
Submissions may focus on empirical, theoretical, methodological or modelling issues as well as opinion pieces or contrasting perspectives. We welcome all forms of submissions: Original Research Articles, Review Articles, Method Articles, Clinical Trials, Case Reports, Mini Review Articles, Code, Book Reviews, General Commentaries, Perspectives, Hypotheses & Theories.
There has been increasing interests in exploring biomarkers from brain images, aiming to have a better understanding and a more effective diagnosis of brain disorders such as schizophrenia, bipolar disorder, schizoaffective disorder, autism spectrum disorder, attention-deficit/hyperactivity disorder, Alzheimer's disease and so on. Therefore, it is important to identify disease-specific changes for distinguishing healthy controls and patients with brain disorders as well as for differentiating patients with different disorders showing similar clinical symptoms. Biomarkers can be identified from different types of brain Imaging techniques including functional magnetic resonance imaging (fMRI), structural MRI, positron emission tomography (PET), electroencephalography (EEG), and magnetoencephalography (MEG) by using statistical analysis methods. Furthermore, based on measures from brain imaging techniques, machine learning techniques can help to classify or predict disease for individual subjects. In fact, fusion of features from multiple modalities may benefit the understanding of disease mechanism and improve the classification performance.
This Research Topic aims to further explore the functional or structural alterations in brain disorders. We seek to gather a broad range of papers in terms of identifying group differences among different populations and classifying (or predicting) brain disorders using the above mentioned brain imaging techniques. New methods, techniques and tools that are proposed to analyze brain images also are welcome. Relevant brain diseases may include, but are not limited to, schizophrenia, bipolar disorder, schizoaffective disorder, autism spectrum disorder, attention-deficit/hyperactivity disorder, and Alzheimer's disease. The aim of this Research Topic will be to broaden our understanding of different brain diseases.
Submissions may focus on empirical, theoretical, methodological or modelling issues as well as opinion pieces or contrasting perspectives. We welcome all forms of submissions: Original Research Articles, Review Articles, Method Articles, Clinical Trials, Case Reports, Mini Review Articles, Code, Book Reviews, General Commentaries, Perspectives, Hypotheses & Theories.
