ArticleFrontiers in computational neuroscience2016
On the Complexity of Brain Disorders: A Symptom-Based Approach.
Article in Frontiers in computational neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed, 14 citations in OpenAlex.
- Common and divergent neuroimaging features in major depression, posttraumatic stress disorder, and their comorbidity.Psychoradiology · 2024Review
- Predicting molecular mechanisms of hereditary diseases by using their tissue-selective manifestation.Molecular systems biology · 2023Article
- Editorial: Community series in novel antipsychotics within and beyond clinical trials: symptom-based treatment of psychiatric disorders with D3-D2 partial agonists, volume II.Frontiers in psychiatry · 2023Article
- Review of Current Human Genome-Scale Metabolic Models for Brain Cancer and Neurodegenerative Diseases.Cells · 2022Review
- Using Xenopus oocytes in neurological disease drug discovery.Expert opinion on drug discovery · 2020Review
- Multitarget 1,4-Dioxane Compounds Combining Favorable DACS chemical neuroscience · 2019Article
- Brain-based symptoms reported in young adults evaluated for cervical spine etiology: a retrospective, cross-sectional clinical study with preliminary data on over 200 patients.Frontiers in neurologyArticle
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mounting evidence shows that brain disorders involve multiple and different neural dysfunctions, including regional brain damage, change to cell structure, chemical imbalance, and/or connectivity loss among different brain regions. Understanding the complexity of brain disorders can help us map these neural dysfunctions to different symptom clusters as well as understand subcategories of different brain disorders. Here, we discuss data on the mapping of symptom clusters to different neural dysfunctions using examples from brain disorders such as major depressive disorder (MDD), Parkinson's disease (PD), schizophrenia, posttraumatic stress disorder (PTSD) and Alzheimer's disease (AD). In addition, we discuss data on the similarities of symptoms in different disorders. Importantly, computational modeling work may be able to shed light on plausible links between various symptoms and neural damage in brain disorders.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.