The Diagnostic and Statistical Manual (DSM) in its fifth iteration, fails to capture the multiple endophenotypes of neurophysiological disruption which characterizes many psychiatric disorders, as demonstrated with field testing of the diagnostic criteria, genetics, psychological testing, and neuroimaging. Thus, these findings, and many others, discount the categorical separation created by the DSM system and argue for a new dimensional approach to diagnosing psychiatric disorders, affording the study of correlated biomarkers, such as those derived from neuroimaging. Decades of research into functional MRI have yielded a questionable collection of data marred by statistical error, which has not met the promise of neuroimaging biomarkers for psychiatric diagnoses. Meanwhile, tens of thousands of SPECT scans have been performed in the clinical arena. A collective knowledge base has begun to emerge concerning SPECT neuroimaging findings which correlate not with DSM diagnoses, but neuroimaging-based diagnoses within and across DSM diagnostic categories. Similarly, SPECT neuroimaging has emerged as a tool with strong sensitivity and specificity in the diagnosis and evaluation of dementia, traumatic brain injury and other neurological disorders.
The goal of this Research Topic is to examine, assess, and discuss the role of SPECT functional neuroimaging in the evaluation and potential diagnosis of psychiatric and neurological conditions. Thus, contributors may take either a supportive or a critical position concerning the use of SPECT neuroimaging in these applications.
Contributors are welcome to use the formats of an original research article, brief research report, systematic review, review, mini-review, policy and practice review, hypothesis and theory, perspective, case report, community case study, general commentary, or opinion. Studies addressing the following themes are strongly encouraged:
• Utility of SPECT functional neuroimaging in the evaluation and diagnosis of psychiatric conditions, whether fitting within DSM categories or not
• Utility of SPECT functional neuroimaging in the evaluation and diagnosis of traumatic brain injury
• Utility of SPECT functional neuroimaging in the evaluation and diagnosis of dementia in all its forms
• Utility of SPECT functional neuroimaging in the assessment of responses to treatments – both conventional and novel.
• Utility of SPECT functional neuroimaging in the evaluation and diagnosis of Chronic Fatigue Syndrome and/or Fibromyalgia
• Utility of SPECT functional neuroimaging in the evaluation and diagnosis of Lyme’s disease, chronic borreolis, and related tick-borne illnesses
• Utility of SPECT functional neuroimaging in the evaluation and diagnosis of seizure disorders.
• Utility of SPECT functional neuroimaging in the evaluation and diagnosis of Autism Spectrum Disorders and other developmental disorders.
The Diagnostic and Statistical Manual (DSM) in its fifth iteration, fails to capture the multiple endophenotypes of neurophysiological disruption which characterizes many psychiatric disorders, as demonstrated with field testing of the diagnostic criteria, genetics, psychological testing, and neuroimaging. Thus, these findings, and many others, discount the categorical separation created by the DSM system and argue for a new dimensional approach to diagnosing psychiatric disorders, affording the study of correlated biomarkers, such as those derived from neuroimaging. Decades of research into functional MRI have yielded a questionable collection of data marred by statistical error, which has not met the promise of neuroimaging biomarkers for psychiatric diagnoses. Meanwhile, tens of thousands of SPECT scans have been performed in the clinical arena. A collective knowledge base has begun to emerge concerning SPECT neuroimaging findings which correlate not with DSM diagnoses, but neuroimaging-based diagnoses within and across DSM diagnostic categories. Similarly, SPECT neuroimaging has emerged as a tool with strong sensitivity and specificity in the diagnosis and evaluation of dementia, traumatic brain injury and other neurological disorders.
The goal of this Research Topic is to examine, assess, and discuss the role of SPECT functional neuroimaging in the evaluation and potential diagnosis of psychiatric and neurological conditions. Thus, contributors may take either a supportive or a critical position concerning the use of SPECT neuroimaging in these applications.
Contributors are welcome to use the formats of an original research article, brief research report, systematic review, review, mini-review, policy and practice review, hypothesis and theory, perspective, case report, community case study, general commentary, or opinion. Studies addressing the following themes are strongly encouraged:
• Utility of SPECT functional neuroimaging in the evaluation and diagnosis of psychiatric conditions, whether fitting within DSM categories or not
• Utility of SPECT functional neuroimaging in the evaluation and diagnosis of traumatic brain injury
• Utility of SPECT functional neuroimaging in the evaluation and diagnosis of dementia in all its forms
• Utility of SPECT functional neuroimaging in the assessment of responses to treatments – both conventional and novel.
• Utility of SPECT functional neuroimaging in the evaluation and diagnosis of Chronic Fatigue Syndrome and/or Fibromyalgia
• Utility of SPECT functional neuroimaging in the evaluation and diagnosis of Lyme’s disease, chronic borreolis, and related tick-borne illnesses
• Utility of SPECT functional neuroimaging in the evaluation and diagnosis of seizure disorders.
• Utility of SPECT functional neuroimaging in the evaluation and diagnosis of Autism Spectrum Disorders and other developmental disorders.
