4.6 Article

Biological Characteristics of Connection-Wise Resting-State Functional Connectivity Strength

Journal

CEREBRAL CORTEX
Volume 29, Issue 11, Pages 4646-4653

Publisher

OXFORD UNIV PRESS INC
DOI: 10.1093/cercor/bhy342

Keywords

correlation; functional connectivity; resting-state; strength; strychnine

Categories

Funding

  1. Innovational Research Incentives Scheme VIDI grant of the Netherlands Organisation of Scientific Research (Nederlandse Organisatie voor Wetenschappelijk Onderzoek) [VIDI-452-16015]
  2. ALW Open grant of the Netherlands Organisation of Scientific Research [ALWOP.179]
  3. National Institute of Mental Health [R01 MH113234, R01 MH109464]
  4. National Cancer Institute [U01 CA193632]
  5. KU Leuven Programme [PFV/10/008, C14/17/109]
  6. Fonds Wetenschappelijk Onderzoek-Vlaanderen [G0D5817N, G0007.12]
  7. European Union's Horizon 2020 Framework Programme for Research and Innovation [720270]
  8. 16 NIH Institutes and Centers [1U54MH091657]

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Functional connectivity is defined as the statistical dependency of neurophysiological activity between 2 separate brain areas. To investigate the biological characteristics of resting-state functional connectivity (rsFC)-and in particular the significance of connection-wise variation in time-series correlations-rsFC was compared with strychnine-based connectivity measured in the macaque. Strychnine neuronography is a historical technique that induces activity in cortical areas through means of local administration of the substance strychnine. Strychnine causes local disinhibition through GABA suppression and leads to subsequent activation of functional pathways. Multiple resting-state fMRI recordings were acquired in 4 macaques (examining in total 299 imaging runs) from which a group-averaged rsFC matrix was constructed. rsFC was observed to be higher (P < 0.0001) between region-pairs with a strychnine-based connection as compared with region-pairs with no strychnine-based connection present. In particular, higher resting-state connectivity was observed in connections that were relatively stronger (weak < moderate < strong; P < 0.01) and in connections that were bidirectional (P < 0.0001) instead of unidirectional in strychnine-based connectivity. Our results imply that the level of correlation between brain areas as extracted from resting-state fMRI relates to the strength of underlying interregional functional pathways.

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