The current and future contribution of neuroimaging to the understanding of disorders of consciousness

Presse Med. 2023 Jun;52(2):104163. doi: 10.1016/j.lpm.2022.104163. Epub 2023 Feb 14.

Abstract

Patients with disorders of consciousness (DoC) represent a group of severely brain-injured patients with varying capacities for consciousness in terms of both wakefulness and awareness. The current state-of-the-art for assessing these patients is through standardised behavioural examinations, but inaccuracies are commonplace. Neuroimaging and electrophysiological techniques have revealed vast insights into the relationships between neural alterations, andcognitive and behavioural features of consciousness in patients with DoC. This has led to the establishment of neuroimaging paradigms for the clinical assessment of DoC patients. Here, we review selected neuroimaging findings on the DoC population, outlining key findings of the dysfunction underlying DoC and presenting the current clinical utility of neuroimaging tools. We discuss that whilst individual brain areas play instrumental roles in generating and supporting consciousness, activation of these areas alone is not sufficient for conscious experience. Instead, for consciousness to arise, we need preserved thalamo-cortical circuits, in addition to sufficient connectivity between distinctly differentiated brain networks, underlined by connectivity both within, and between such brain networks. Finally, we present recent advances and future perspectives in computational methodologies applied to DoC, supporting the notion that progress in the science of DoC will be driven by a symbiosis of these data-driven analyses, and theory-driven research. Both perspectives will work in tandem to provide mechanistic insights contextualised within theoretical frameworks which ultimately inform the practice of clinical neurology.

Keywords: Coma; Disorders of consciousness; EEG; Minimally conscious state; Neuroimaging; Unresponsive wakefulness syndrome; Vegetative state; Whole brain models.

Publication types

  • Review

MeSH terms

  • Brain / diagnostic imaging
  • Brain / physiopathology
  • Consciousness / physiology
  • Consciousness Disorders* / diagnostic imaging
  • Consciousness Disorders* / physiopathology
  • Forecasting
  • Humans
  • Neuroimaging* / methods