Evidence map›Paper›PMID 24819881›Full record

ReviewPhysics of life reviews2014

Understanding brain networks and brain organization.

Luiz Pessoa

Abstract readReview
In one paragraph

Review in Physics of life reviews, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 183 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
183citing papers in PubMed, 8 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

183 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  11. Sex differences in neural circuits driving binge-like drinking: a female-specific role for an amygdalo-striatal pathway.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
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123 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Luiz PessoaUniversity of Maryland, College Park, United States.

Funding

INTERACTION OF EMOTIONAL PERCEPTION AND VISUAL ATTENTIONR01MH071589 · NIMH · UNIV OF MARYLAND, COLLEGE PARK · PI PESSOA, LUIZ · 2004 to 2024
$8.9M
NIMH NIH HHS R01 MH071589
6 · The paper itself

Abstract

What is the relationship between brain and behavior? The answer to this question necessitates characterizing the mapping between structure and function. The aim of this paper is to discuss broad issues surrounding the link between structure and function in the brain that will motivate a network perspective to understanding this question. However, as others in the past, I argue that a network perspective should supplant the common strategy of understanding the brain in terms of individual regions. Whereas this perspective is needed for a fuller characterization of the mind-brain, it should not be viewed as panacea. For one, the challenges posed by the many-to-many mapping between regions and functions is not dissolved by the network perspective. Although the problem is ameliorated, one should not anticipate a one-to-one mapping when the network approach is adopted. Furthermore, decomposition of the brain network in terms of meaningful clusters of regions, such as the ones generated by community-finding algorithms, does not by itself reveal "true" subnetworks. Given the hierarchical and multi-relational relationship between regions, multiple decompositions will offer different "slices" of a broader landscape of networks within the brain. Finally, I described how the function of brain regions can be characterized in a multidimensional manner via the idea of diversity profiles. The concept can also be used to describe the way different brain regions participate in networks.

Indexed as

AlgorithmsAnimalsBrainBrain MappingHumansNerve NetBrainFunctionNetworksStructure

Identifiers

PMID24819881
PMCPMC4157099

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

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.