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Scientific article
Open access
English

The arrow‐of‐time in neuroimaging time series identifies causal triggers of brain function

Published inHuman brain mapping, vol. 44, no. 10, p. 4077-4087
Publication date2023-07
First online date2023-05-20
Abstract

Moving from association to causal analysis of neuroimaging data is crucial to advance our understanding of brain function. The arrow-of-time (AoT), that is, the known asymmetric nature of the passage of time, is the bedrock of causal structures shaping physical phenomena. However, almost all current time series metrics do not exploit this asymmetry, probably due to the difficulty to account for it in modeling frameworks. Here, we introduce an AoT-sensitive metric that captures the intensity of causal effects in multivariate time series, and apply it to high-resolution functional neuroimaging data. We find that causal effects underlying brain function are more distinctively localized in space and time than functional activity or connectivity, thereby allowing us to trace neural pathways recruited in different conditions. Overall, we provide a mapping of the causal brain that challenges the association paradigm of brain function.

eng
Keywords
  • Arrow-of-time
  • Brain dynamics
  • Brain function
  • Causality
  • Brain Mapping
  • Brain / diagnostic imaging
  • Functional Neuroimaging
  • Humans
  • Magnetic Resonance Imaging
  • Neuroimaging
  • Time Factors
Citation (ISO format)
BOLTON, Thomas A. W. et al. The arrow‐of‐time in neuroimaging time series identifies causal triggers of brain function. In: Human brain mapping, 2023, vol. 44, n° 10, p. 4077–4087. doi: 10.1002/hbm.26331
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Identifiers
ISSN of the journal1065-9471
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