Biomarkers and neurobehavioral diagnosis
Our current diagnostic methods for treatment planning in Psychiatry and Neurodevelopmental Disabilities leave room for improvement, and null results in clinical trials in these fields may be a result of insufficient tools for patient stratification. Great hope has been placed in novel technologies t...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-06-01
|
| Series: | Biomarkers in Neuropsychiatry |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666144620300198 |
| _version_ | 1818740121864765440 |
|---|---|
| author | Joshua B. Ewen William Z. Potter John A. Sweeney |
| author_facet | Joshua B. Ewen William Z. Potter John A. Sweeney |
| author_sort | Joshua B. Ewen |
| collection | DOAJ |
| description | Our current diagnostic methods for treatment planning in Psychiatry and Neurodevelopmental Disabilities leave room for improvement, and null results in clinical trials in these fields may be a result of insufficient tools for patient stratification. Great hope has been placed in novel technologies to improve clinical and trial outcomes, but we have yet to see a substantial change in clinical practice. As we examine attempts at biomarker validation within these fields, we find that it may be the diagnoses themselves that fall short. We now need to improve neuropsychiatric nosologies with a focus on validity based not solely on behavioral features, but on a synthesis that includes genetic and biological data as well. The eventual goal is diagnostic biomarkers and diagnoses themselves based on distinct mechanisms, but such an understanding of the causal relationship across levels of analysis is likely to be elusive for some time. Rather, we propose an approach in the near-term that deconstructs diagnosis into a series of independent, empiric and clinically relevant associations among a single, defined patient group, a single biomarker, a single intervention and a single clinical outcome. Incremental study across patient groups, interventions, outcomes and modalities will lead to a more interdigitated network of knowledge, and correlations in metrics across levels of analysis will eventually give way to the causal understanding that will allow for mechanistically based diagnoses. |
| first_indexed | 2024-12-18T01:35:42Z |
| format | Article |
| id | doaj.art-d2abec5326834a61a3053d230d9071d7 |
| institution | Directory Open Access Journal |
| issn | 2666-1446 |
| language | English |
| last_indexed | 2024-12-18T01:35:42Z |
| publishDate | 2021-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Biomarkers in Neuropsychiatry |
| spelling | doaj.art-d2abec5326834a61a3053d230d9071d72022-12-21T21:25:28ZengElsevierBiomarkers in Neuropsychiatry2666-14462021-06-014100029Biomarkers and neurobehavioral diagnosisJoshua B. Ewen0William Z. Potter1John A. Sweeney2Kennedy Krieger Institute, United States; Johns Hopkins University, United States; Corresponding author at: Kennedy Krieger Institute, 707N Broadway, Baltimore, MD, 21205, United States.The National Institutes of Health, United StatesUniversity of Cincinnati, United StatesOur current diagnostic methods for treatment planning in Psychiatry and Neurodevelopmental Disabilities leave room for improvement, and null results in clinical trials in these fields may be a result of insufficient tools for patient stratification. Great hope has been placed in novel technologies to improve clinical and trial outcomes, but we have yet to see a substantial change in clinical practice. As we examine attempts at biomarker validation within these fields, we find that it may be the diagnoses themselves that fall short. We now need to improve neuropsychiatric nosologies with a focus on validity based not solely on behavioral features, but on a synthesis that includes genetic and biological data as well. The eventual goal is diagnostic biomarkers and diagnoses themselves based on distinct mechanisms, but such an understanding of the causal relationship across levels of analysis is likely to be elusive for some time. Rather, we propose an approach in the near-term that deconstructs diagnosis into a series of independent, empiric and clinically relevant associations among a single, defined patient group, a single biomarker, a single intervention and a single clinical outcome. Incremental study across patient groups, interventions, outcomes and modalities will lead to a more interdigitated network of knowledge, and correlations in metrics across levels of analysis will eventually give way to the causal understanding that will allow for mechanistically based diagnoses.http://www.sciencedirect.com/science/article/pii/S2666144620300198BiomarkerPsychiatryNeurodevelopmental disabilitiesNosologyDiagnosisPrognosis |
| spellingShingle | Joshua B. Ewen William Z. Potter John A. Sweeney Biomarkers and neurobehavioral diagnosis Biomarkers in Neuropsychiatry Biomarker Psychiatry Neurodevelopmental disabilities Nosology Diagnosis Prognosis |
| title | Biomarkers and neurobehavioral diagnosis |
| title_full | Biomarkers and neurobehavioral diagnosis |
| title_fullStr | Biomarkers and neurobehavioral diagnosis |
| title_full_unstemmed | Biomarkers and neurobehavioral diagnosis |
| title_short | Biomarkers and neurobehavioral diagnosis |
| title_sort | biomarkers and neurobehavioral diagnosis |
| topic | Biomarker Psychiatry Neurodevelopmental disabilities Nosology Diagnosis Prognosis |
| url | http://www.sciencedirect.com/science/article/pii/S2666144620300198 |
| work_keys_str_mv | AT joshuabewen biomarkersandneurobehavioraldiagnosis AT williamzpotter biomarkersandneurobehavioraldiagnosis AT johnasweeney biomarkersandneurobehavioraldiagnosis |