Abstract

This is a focused review of imaging literature to scope the utility of hybrid brain imaging in neuropsychiatric disorders. The review focuses on brain imaging modalities that utilize hybrid (fusion) techniques to characterize abnormal brain molecular signals in combination with structural and functional changes that have been observed in neuropsychiatric disorders. An overview of clinical hybrid brain imaging technologies for human use is followed by a selective review of the literature that conceptualizes the use of these technologies in understanding basic mechanisms of major neuropsychiatric disorders and their therapeutics. Neuronal network abnormalities are highlighted throughout this review to scope the utility of hybrid imaging as a potential biomarker for each disorder.

Highlights

  • Neuropsychiatric disorders represent a group of syndromes exhibiting abnormalities in cognition, emotions and/or behaviors

  • This exciting perspective on measuring network level processes by PET/magnetic resonance (MR) technology is key to understanding neuropsychiatric disorders, as research findings suggest that major psychopathologies involve dysfunction of cognitive and emotion regulation processes and effect distributed brain regions within multiple spanning lobes [19]

  • Each psychiatric disorder described here should be viewed as a complex puzzle with multiple pieces; where individual pieces to the puzzle are uncovered through different techniques or modalities

Read more

Summary

Introduction

Neuropsychiatric disorders represent a group of syndromes exhibiting abnormalities in cognition, emotions and/or behaviors. The burden of neuropsychiatric disorders is substantial. Health Organization (WHO) report on the global burden of disease indicates a high prevalence of these disorders worldwide. These diseases affect millions of people each year: unipolar depression 151.2 million; bipolar disorder 29.5 million; schizophrenia 26.3 million; Alzheimer’s disease and other dementia. In all regions of the world, neuropsychiatric disorders account for about one-third of adult disability, as measured by years of healthy life lost due to living in less than optimum health [1]

Issues with Clinical Classification
Brain Imaging as the Biomarker for Neuropsychiatric Disorders
Evolution of Network Models in Neuropsychiatric Disorders
Hybrid Imaging
Alzheimer’s Disease as a Prototypical Neuropsychiatric Disorder
Large Investments Result in Tangible Progress for Neuropsychiatric Disorders
Neuroimaging the Neuropsychiatric Characteristics of Alzheimer’s Disease
Psychosis and Alzheimer’s Disease
Agitation and Alzheimer’s Disease
Apathy and Alzheimer’s Disease
Network Neuroimaging Limitations in Alzheimer’s Disease
Psychoses
Network Abnormalities in Psychosis
Anxiety Disorders
Anxiety Disorders and Network Abnormalities
Depression
Predictive Biomarkers for Depression
Network Abnormalities in Depression
Network Abnormalities in Bipolar Disorder
Discussion
Therapeutic Biomarker Discovery with Hybrid Imaging
Uncovering Molecular Mechanisms with Hybrid Imaging
Findings
Hybrid Imaging as a Potential Biomarker for Neuropsychiatric Disorders
Conclusions
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.