ArticleThe Behavioral and brain sciences2019
Brain networks for emotion and cognition: Implications and tools for understanding mental disorders and pathophysiology.
Article in The Behavioral and brain sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Unique Challenges in Biomarkers for Psychotic Disorders.Brain sciences · 2024Article
- The influence of pride emotion on executive function: Evidence from ERP.Brain and behavior · 2022Article
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding how structure maps to function in the brain in terms of large-scale networks is critical to elucidating the brain basis of mental phenomena and mental disorders. Given that this mapping is many-to-many, I argue that researchers need to shift to a multivariate brain and behavior characterization to fully unravel the contributions of brain processes to typical and atypical function.
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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.