The balance realism and rigor in psychological research is essential to the development of rich and accurate theories about the developing brain. In the field of neuroimaging researchers have used predominantly controlled laboratory methods to decompose neural signals into meaningful functions but there is currently a push to integrate naturalistic conditions into neural measurement. Sometimes naturalistic methods are used to validate existing functional theories ecologically, and other times they are used in data-driven studies for exploration. This article assesses the value and risk of these approaches for understanding the developing brain.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8276520 | PMC |
| http://dx.doi.org/10.1016/j.neuroimage.2019.116464 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Transcirculation repair of a direct carotid-cavernous fistula in a patient who presented with hydrocephalus: illustrative case.
J Neurosurg Case Lessons
January 2025
The Trauma and Neuroscience Institutes, St. John's Hospital and Medical Center, Tulsa, Oklahoma.
Background: Direct carotid-cavernous fistulas (CCFs) are relatively rare but dangerous complications of penetrating traumatic brain injury or maxillofacial trauma. A variety of clinical signs have been described, including ophthalmological and neurological ones. In some cases, severely altered cerebral blood flow can present as massive life-threatening bleeding through the nose, subarachnoid hemorrhage, and/or intraparenchymal hemorrhage.
View Article and Find Full Text PDFAlternative models of funding curiosity-driven research.
Proc Natl Acad Sci U S A
February 2025
Department of Psychology, University of Liverpool, Liverpool L69 7ZA, United Kingdom.
Funding of curiosity-driven science is the lifeblood of scientific and technological innovation. Various models of funding allocation became institutionalized in the 20th century, shaping the present landscape of research funding. There are numerous reasons for scientists to be dissatisfied with current funding schemes, including the imbalance between funding for curiosity-driven and mission-directed research, regional and country disparities, path-dependency of who gets funded, gender and race disparities, low inter-reviewer reliability, and the trade-off between the effort and time spent on writing or reviewing proposals and doing research.
View Article and Find Full Text PDFIs Ockham's razor losing its edge? New perspectives on the principle of model parsimony.
Proc Natl Acad Sci U S A
February 2025
Department of Computer Science, University of Manchester, Manchester M13 9PL, United Kingdom.
The preference for simple explanations, known as the parsimony principle, has long guided the development of scientific theories, hypotheses, and models. Yet recent years have seen a number of successes in employing highly complex models for scientific inquiry (e.g.
View Article and Find Full Text PDFThe misalignment of incentives in academic publishing and implications for journal reform.
Proc Natl Acad Sci U S A
February 2025
Department of Data and Decision Science, Technion-Israel Institute of Technology, Haifa 3200003, Israel.
For most researchers, academic publishing serves two goals that are often misaligned-knowledge dissemination and establishing scientific credentials. While both goals can encourage research with significant depth and scope, the latter can also pressure scholars to maximize publication metrics. Commercial publishing companies have capitalized on the centrality of publishing to the scientific enterprises of knowledge dissemination and academic recognition to extract large profits from academia by leveraging unpaid services from reviewers, creating financial barriers to research dissemination, and imposing substantial fees for open access.
View Article and Find Full Text PDFHow should the advancement of large language models affect the practice of science?
Proc Natl Acad Sci U S A
February 2025
Max Planck Institute for Biological Cybernetics, Tübingen, Baden-Württemberg 72076, Germany.
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 PDFWant 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!