ArticleScientific reports2017
A data-driven approach for evaluating multi-modal therapy in traumatic brain injury.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 20 citations in OpenAlex.
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- Modulation of the p75NTR during Adolescent Alcohol Exposure Prevents Cholinergic Neuronal Atrophy and Associated Acetylcholine Activity and Behavioral Dysfunction.International journal of molecular sciences · 2024Article
- Machine learning and bioinformatics approaches for classification and clinical detection of bevacizumab responsive glioblastoma subtypes based on miRNA expression.Scientific reports · 2022Article
- Data-driven approach to integrating genomic and behavioral preclinical traumatic brain injury research.Frontiers in bioengineering and biotechnology · 2022Article
- The impact of deep space radiation on cognitive performance: From biological sex to biomarkers to countermeasures.Science advances · 2021Article
- Reproducible analysis of disease space via principal components using the novel R package syndRomics.eLife · 2021Article
- Data Dissemination: Shortening the Long Tail of Traumatic Brain Injury Dark Data.Journal of neurotrauma · 2020Review
- Mouse model systems of autism spectrum disorder: Replicability and informatics signature.Genes, brain, and behavior · 2020Article
- Differential fracture response to traumatic brain injury suggests dominance of neuroinflammatory response in polytrauma.Scientific reports · 2019Article
- Neurotrauma as a big-data problem.Current opinion in neurology · 2018Review
- Predictable response: Finding optimal drugs and doses using artificial intelligence.Nature medicine · 2017Article
- Transcranial magnetic stimulation and environmental enrichment enhances cortical excitability and functional outcomes after traumatic brain injury.Brain stimulationArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 3 institutions in 1 country.
Funding
Abstract
Combination therapies targeting multiple recovery mechanisms have the potential for additive or synergistic effects, but experimental design and analyses of multimodal therapeutic trials are challenging. To address this problem, we developed a data-driven approach to integrate and analyze raw source data from separate pre-clinical studies and evaluated interactions between four treatments following traumatic brain injury. Histologic and behavioral outcomes were measured in 202 rats treated with combinations of an anti-inflammatory agent (minocycline), a neurotrophic agent (LM11A-31), and physical therapy consisting of assisted exercise with or without botulinum toxin-induced limb constraint. Data was curated and analyzed in a linked workflow involving non-linear principal component analysis followed by hypothesis testing with a linear mixed model. Results revealed significant benefits of the neurotrophic agent LM11A-31 on learning and memory outcomes after traumatic brain injury. In addition, modulations of LM11A-31 effects by co-administration of minocycline and by the type of physical therapy applied reached statistical significance. These results suggest a combinatorial effect of drug and physical therapy interventions that was not evident by univariate analysis. The study designs and analytic techniques applied here form a structured, unbiased, internally validated workflow that may be applied to other combinatorial studies, both in animals and humans.
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Registered trials
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