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Brain connectomics : time for a molecular imaging perspective?

Sala, Arianna ; Lizarraga, Aldana ; Caminiti, Silvia Paola ; Calhoun, Vince D. ; Eickhoff, Simon B. ; Habeck, Christian ; Jamadar, Sharna D. ; Perani, Daniela ; Pereira, Joana B. LU and Veronese, Mattia , et al. (2023) In Trends in Cognitive Sciences 27(4). p.353-366
Abstract

In the past two decades brain connectomics has evolved into a major concept in neuroscience. However, the current perspective on brain connectivity and how it underpins brain function relies mainly on the hemodynamic signal of functional magnetic resonance imaging (MRI). Molecular imaging provides unique information inaccessible to MRI-based and electrophysiological techniques. Thus, positron emission tomography (PET) has been successfully applied to measure neural activity, neurotransmission, and proteinopathies in normal and pathological cognition. Here, we position molecular imaging within the brain connectivity framework from the perspective of timeliness, validity, reproducibility, and resolution. We encourage the neuroscientific... (More)

In the past two decades brain connectomics has evolved into a major concept in neuroscience. However, the current perspective on brain connectivity and how it underpins brain function relies mainly on the hemodynamic signal of functional magnetic resonance imaging (MRI). Molecular imaging provides unique information inaccessible to MRI-based and electrophysiological techniques. Thus, positron emission tomography (PET) has been successfully applied to measure neural activity, neurotransmission, and proteinopathies in normal and pathological cognition. Here, we position molecular imaging within the brain connectivity framework from the perspective of timeliness, validity, reproducibility, and resolution. We encourage the neuroscientific community to take an integrative approach whereby MRI-based, electrophysiological techniques, and molecular imaging contribute to our understanding of the brain connectome.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
connectivity, electroencephalography, magnetic resonance imaging, networks, PET, positron emission tomography
in
Trends in Cognitive Sciences
volume
27
issue
4
pages
353 - 366
publisher
Elsevier
external identifiers
  • pmid:36621368
  • scopus:85146133588
ISSN
1364-6613
DOI
10.1016/j.tics.2022.11.015
language
English
LU publication?
yes
id
59f1fb91-0b23-466e-955f-ced088c7d614
date added to LUP
2023-02-16 14:54:26
date last changed
2024-04-14 03:53:55
@article{59f1fb91-0b23-466e-955f-ced088c7d614,
  abstract     = {{<p>In the past two decades brain connectomics has evolved into a major concept in neuroscience. However, the current perspective on brain connectivity and how it underpins brain function relies mainly on the hemodynamic signal of functional magnetic resonance imaging (MRI). Molecular imaging provides unique information inaccessible to MRI-based and electrophysiological techniques. Thus, positron emission tomography (PET) has been successfully applied to measure neural activity, neurotransmission, and proteinopathies in normal and pathological cognition. Here, we position molecular imaging within the brain connectivity framework from the perspective of timeliness, validity, reproducibility, and resolution. We encourage the neuroscientific community to take an integrative approach whereby MRI-based, electrophysiological techniques, and molecular imaging contribute to our understanding of the brain connectome.</p>}},
  author       = {{Sala, Arianna and Lizarraga, Aldana and Caminiti, Silvia Paola and Calhoun, Vince D. and Eickhoff, Simon B. and Habeck, Christian and Jamadar, Sharna D. and Perani, Daniela and Pereira, Joana B. and Veronese, Mattia and Yakushev, Igor}},
  issn         = {{1364-6613}},
  keywords     = {{connectivity; electroencephalography; magnetic resonance imaging; networks; PET; positron emission tomography}},
  language     = {{eng}},
  number       = {{4}},
  pages        = {{353--366}},
  publisher    = {{Elsevier}},
  series       = {{Trends in Cognitive Sciences}},
  title        = {{Brain connectomics : time for a molecular imaging perspective?}},
  url          = {{http://dx.doi.org/10.1016/j.tics.2022.11.015}},
  doi          = {{10.1016/j.tics.2022.11.015}},
  volume       = {{27}},
  year         = {{2023}},
}