ReviewGenomics, proteomics & bioinformatics2019
How Big Data and High-performance Computing Drive Brain Science.
Review in Genomics, proteomics & bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 53 citations in OpenAlex.
- Article
- Overview: Research on the Genetic Architecture of the Developing Cerebral Cortex in Norms and Diseases.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Between neurons and networks: investigating mesoscale brain connectivity in neurological and psychiatric disorders.Frontiers in neuroscience · 2024Review
- Twenty-Five Years of AI in Neurology: The Journey of Predictive Medicine and Biological Breakthroughs.JMIR neurotechnology · 2024Article
- Big data in autism research: Methodological challenges and solutions.Autism research : official journal of the International Society for Autism Research · 2023Article
- A Brief History of Stereotactic Atlases: Their Evolution and Importance in Stereotactic Neurosurgery.Brain sciences · 2023Review
- Electroencephalography source localization.Clinical and experimental pediatrics · 2023Article
- The evolution of Big Data in neuroscience and neurology.Journal of big data · 2023Article
- Introduction to the special issue on Applications of Artificial Intelligence in Biomarker Research.Cancer biomarkers : section A of Disease markers · 2022Article
- Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach-Part II: Brain Signals.Sensors (Basel, Switzerland) · 2021Review
- Bridging the Brain and Data Sciences.Big data · 2021Article
- Towards the Interpretability of Machine Learning Predictions for Medical Applications Targeting Personalised Therapies: A Cancer Case Survey.International journal of molecular sciences · 2021Review
- Electrophysiological Analysis of Brain Organoids: Current Approaches and Advancements.Frontiers in neuroscience · 2020Review
- Big Data and the Brain: Peeking at the Future.Genomics, proteomics & bioinformatics · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Brain science accelerates the study of intelligence and behavior, contributes fundamental insights into human cognition, and offers prospective treatments for brain disease. Faced with the challenges posed by imaging technologies and deep learning computational models, big data and high-performance computing (HPC) play essential roles in studying brain function, brain diseases, and large-scale brain models or connectomes. We review the driving forces behind big data and HPC methods applied to brain science, including deep learning, powerful data analysis capabilities, and computational performance solutions, each of which can be used to improve diagnostic accuracy and research output. This work reinforces predictions that big data and HPC will continue to improve brain science by making ultrahigh-performance analysis possible, by improving data standardization and sharing, and by providing new neuromorphic insights.
Indexed as
Identifiers
What OpenQuestion holds
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.