Cited by 464Functional Brain Connectivity StudiesComplex Network Analysis TechniquesAdvanced Neuroimaging Techniques and Applications

Understanding brain networks and brain organization

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Pessoa, Luiz·2014·Physics of Life Reviews

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.

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Research works printed but not linked: 13

  1. [1]Shallice T From neuropsychology to mental structure New York Cambridge University Press 1988
  2. [16]Bechtel W Richardson RC Discovering complexity: Decomposition and localization as strategies in scientific research Princeton, NJ Princeton University Press 1993
  3. [17]Simon H The sciences of the artificial Cambridge, MA MIT Press 1969
  4. [18]Edelman GM Group selection and phasic reentrant signalling: A theory of higher brain function Edelman GM Mountcastle VB The Mindful Brain Cambridge MA MIT Press 1978 51 100
  5. [28]Felleman DJ Van Essen DC Retinotopic organization in human visual cortex and the spatial precision of functional MRI Cerebral Cortex 1991 1 1 47 9087826
  6. [50]Buzsáki G Rhythms of the brain New York Oxford University Press 2006
  7. [53]Varela FJ Thompson E Rosch E The embodied mind: Cognitive science and human experience The MIT Press 1992
  8. [55]Thompson E Mind in life: Biology, Phenomenology, and the sciences of the mind Cambridge, MA Harvard University Press 2007
  9. [62]Newman M Networks: An Introduction New York City Oxford University Press 2010
  10. [78]Amaral DG Price JL Pitkanen A Carmichael ST Anatomical organization of the primate amygdaloid complex Aggleton J The Amygdala: neurobiological aspects of emotion, memory, and mental dysfunction New York Wiley-Liss 1992 1 66
  11. [117]Fuster JM The prefrontal cortex San Diego, CA Academic Press 2008
  12. [155]Magurran AE Measuring Biological Diversity Blackwell Oxford, United Kingdom 2004
  13. [159]Fox MD Snyder AZ Vincent JL Corbetta M Van Essen DC Raichle ME The human brain is intrinsically organized into dynamic, anticorrelated functional networks Proceedings of the National Academy of Sciences USA 2005 102 9673 8 PMC1157105 15976020

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Authors
Pessoa, L.
Affiliations
University of Maryland, College Park (US)
Corresponding author
Pessoa, Luiz
Venue
Physics of Life Reviews
Publisher
Elsevier BV
Published
2014-09
Volume
11
Issue
3
Pages
400-435
ISSN
1571-0645 (ISSN-L)
OpenAlex
W2031461126
Cited by
464
References
156
Citations by year
2026: 31 · 2025: 48 · 2024: 47 · 2023: 59 · 2022: 45 · 2021: 37 · 2020: 31 · 2019: 30 · 2018: 26 · 2017: 35 · 2016: 39 · 2015: 19 · 2014: 16 · 2013: 1
FWCI
3.52
Type
journal article
Language
en
Open access
Locations
  • Physics of Life Reviews (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • arXiv (Cornell University)
Funders
National Institute of Mental Health (R01MH071589)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Keywords
brain networks, brain organization, structure-function mapping, brain-behavior relationship, network perspective, many-to-many mapping, community detection, subnetworks, hierarchical brain organization, brain regions
MeSH terms
Algorithms, Animals, Brain, Brain Mapping, Humans, Nerve Net

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