Data science and its future in large neuroscience collaborations.

Neuron

Department of Physiology and Biophysics, University of Washington, Seattle, WA, USA; Computational Neuroscience Center, University of Washington, Seattle, WA, USA. Electronic address:

Published: September 2024

Collaborative neuroscience requires systematic data management and analysis. How this is best done in practice remains unclear. Based on a survey across collaborative neuroscience projects, we document the current state of the art focusing on data integration, sharing, and researcher training. We propose best practices and list actions and policies to attain these goals.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11632705PMC
http://dx.doi.org/10.1016/j.neuron.2024.08.017DOI Listing

Publication Analysis

Top Keywords

collaborative neuroscience
8
data science
4
science future
4
future large
4
large neuroscience
4
neuroscience collaborations
4
collaborations collaborative
4
neuroscience requires
4
requires systematic
4
systematic data
4

Similar Publications

Alternative splicing impacts most multi-exonic human genes. Inaccuracies during this process may have an important role in ageing and disease. Here, we investigate splicing accuracy using RNA-sequencing data from >14k control samples and 40 human body sites, focusing on split reads partially mapping to known transcripts in annotation.

View Article and Find Full Text PDF

Advances in personalized medicine and Systems Biology have introduced probabilistic models and error discovery to cardiovascular care, aiding disease prevention and procedural planning. However, clinical application faces cultural, technical, and methodological hurdles. Patient autonomy remains essential, with shared decision-making (SDM) gaining importance in managing complex cardiovascular treatment options.

View Article and Find Full Text PDF

Large language models (LLMs) are being increasingly incorporated into scientific workflows. However, we have yet to fully grasp the implications of this integration. How should the advancement of large language models affect the practice of science? For this opinion piece, we have invited four diverse groups of scientists to reflect on this query, sharing their perspectives and engaging in debate.

View Article and Find Full Text PDF

Neurocognitive dysfunctions in childhood-onset schizophrenia: A systematic review.

Schizophr Res Cogn

June 2025

University Department of Child and Adolescent Psychiatry, Children's Hospitals of NICE CHU-Lenval, Nice, France.

Objective: To conduct a systematic review of neurocognitive dysfunctions in patients with childhood-onset schizophrenia (COS), a neuropsychiatric disorder that occurs before age 13 and is rarer and more severe than adult-onset schizophrenia.

Method: A search was made in the PubMed database. Sixty-seven studies (out of 543) which analyzed Intellectual Quotient (IQ), attentional, memory and executive functions were selected by two independent researchers.

View Article and Find Full Text PDF

Serum metabolomic signatures of patients with rare neurogenetic diseases: an insight into potential biomarkers and treatment targets.

Front Mol Neurosci

January 2025

Interdisciplinary Centre for Innovations in Biotechnology and Neuroscience, Faculty of Medical Sciences, University of Sri Jayewardenepura, Nugegoda, Sri Lanka.

Introduction: To further advance our understanding of Muscular Dystrophies (MDs) and Spinocerebellar Ataxias (SCAs), it is necessary to identify the biological patterns associated with disease pathology. Although progress has been made in the fields of genetics and transcriptomics, there is a need for proteomics and metabolomics studies. The present study aimed to be the first to document serum metabolic signatures of MDs (DMD, BMD, and LGMD 2A) SCAs (SCA 1-3), from a South Asian perspective.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!