Connectome disruptions after hypoxic-ischaemic injury associate with consciousness disorder severity
Abstract
Abstract Accurate neuroprognostication of cardiac arrest survivors who are initially comatose after restoration of spontaneous circulation is crucial for guiding patient management. Because hypoxic-ischaemic injury is typically diffuse, damage to a network of brain regions is likely involved in the patient’s disorder of consciousness. To quantify these complex brain network changes, graph theoretical methods were applied. We hypothesize that structural connectivity metrics may provide insights into which patients will likely recover consciousness. Eighteen comatose patients (50 ± 22 years, 44% male) and four healthy participants (40 ± 20 years, 50% male) underwent multi-shell high angular diffusion MRI as part of a prospective study. Structural connectivity matrices were constructed using probabilistic tractography to measure the likelihood of connections between anatomical regions. Network topology alterations were quantified using clustering coefficient, global efficiency and degree. Hub index analysis was performed to explore the impact of anoxic injury on high-degree hubs. Network parameters were compared between patients with arousal recovery (AR, eye-opening to auditory or noxious stimulation) and without arousal recovery (No AR). Analyses were repeated for AR patients who achieved emergence from the minimally conscious state (EMCS) within one-year post-cardiac arrest and AR patients who did not achieve EMCS (AR′). Significant differences were observed between the Controls, AR and No AR for all four metrics (Kruskal–Wallis Tests, P < 0.05). Worsening disorders of consciousness were associated with decreasing brain complexity (Kendall's tau, P
Fields of Study & Subjects
Functional Brain Connectivity Studies
Cardiac Arrest and Resuscitation
Traumatic Brain Injury Research
Publication details
- Journal / source
- Brain Communications
- Publisher
- Oxford University Press (OUP)
- Volume
- 8
- Issue
- 2
- Pages
- fcag117–fcag117
- Publication date
- 1 January 2026
- Language
- EN