General anaesthesia reduces the uniqueness of brain connectivity across individuals and species

Presented During:

Monday, June 24, 2024: 5:45 PM - 7:00 PM
COEX  
Room: ASEM Ballroom 202  

Poster No:

2465 

Submission Type:

Abstract Submission 

Authors:

Andrea Luppi1, Daniel Golkowski2, Andreas Ranft2, Rudiger Ilg2, Denis Jordan2, Danilo Bzdok3, Adrian Owen4, Lorina Naci5, Emmanuel Stamatakis6, Enrico Amico7, Bratislav Misic8

Institutions:

1McGill University, Buguggiate, Italy, 2Technical University Munich, Munich, Germany, 3McConnell Brain Imaging Centre (BIC), Montreal Neurol, McGill Universityogical Institute (MNI), Montreal, Quebec, 4Western University, London, Ontario, 5Trinity College Dublin, Dublin, Ireland, 6University of Cambridge, Cambridge, Cambridgeshire, 7Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland, 8McGill University, Montreal, Quebec

First Author:

Andrea Luppi, PhD  
McGill University
Buguggiate, Italy

Co-Author(s):

Daniel Golkowski  
Technical University Munich
Munich, Germany
Andreas Ranft  
Technical University Munich
Munich, Germany
Rudiger Ilg  
Technical University Munich
Munich, Germany
Denis Jordan  
Technical University Munich
Munich, Germany
Danilo Bzdok  
McConnell Brain Imaging Centre (BIC), Montreal Neurol, McGill Universityogical Institute (MNI)
Montreal, Quebec
Adrian Owen  
Western University
London, Ontario
Lorina Naci  
Trinity College Dublin
Dublin, Ireland
Emmanuel Stamatakis  
University of Cambridge
Cambridge, Cambridgeshire
Enrico Amico  
Ecole Polytechnique Federale de Lausanne
Lausanne, Switzerland
Bratislav Misic  
McGill University
Montreal, Quebec

Introduction:

The human brain is characterised by idiosyncratic patterns of spontaneous thought, rendering each brain uniquely identifiable from its neural activity (Amico and Goñi, 2018; Finn et al., 2015). However, deep general anaesthesia suppresses subjective experience. Does it also suppress what makes each brain unique? We attack this question from three conceptual angles. First, we compare brain connectivity within and across individuals. Second, we compare brain activity against the canonical brain maps of human cognition. Third, we ask whether anaesthesia makes the human brain less distinctive from another species: the macaque.

Methods:

We consider resting-state functional MRI data from N=15 volunteers at baseline and at different levels of the anaesthetic sevoflurane: at burst-suppression, 3 vol%, 2 vol%, and post-anaesthetic recovery of responsiveness (Ranft et al., 2016).

Here we use connectome fingerprinting of individuals based on fMRI scans to evaluate whether individuals become less distinguishable when under anaesthesia, based on the similarity (correlation) between functional connectivity patterns at different points in time (Amico and Goni, 2018; Finn et al., 2015). We compare the patterns of regional changes in identifiability against brain maps of evolutionary cortical expansion (Xu et al., 2020), human-accelerated gene expression (Wei et al., 2019), inter-individual variability (Mueller et al., 2013), and the archetypal sensory-association axis of cortical organisation (Sydnor et al., 2021), obtained from the neuromaps toolbox (Markello et al., 2022). To control for spatial autocorrelation, we employ autocorrelation-preserving null models (Markello et al., 2022).

We also use 123 meta-analytic patterns from NeuroSynth (Yarkoni et al., 2011), and assess how well their spatial distribution matches the spatial patterns of spontaneous brain activity. Finally, we compare functional connectivity across levels of anaesthesia, against the functional connectivity of the macaque brain (Michael Milham et al., 2018). We replicate all results in an independent dataset of resting-state fMRI from N=16 volunteers scanned before, during, and after loss of responsiveness induced by propofol.

Results:

When comparing two scans of the same individual while awake, it is easy to distinguish self from other. However, self-self correlations between awake and anaesthetised brains are significantly diminished compared to awake-recovery self-similarity (Fig.1a-d). We localise regional changes in identifiability, quantified as the mean change in intraclass correlation coefficient (ICC) across each region's edges (Amico and Goñi, 2018; Finn et al., 2015). We observe a significant spatial correlation with the brain's archetypal sensory-association axis (ρ = 0.67, p < 0.001) as well as inter-individual variability (ρ = 0.63, p < 0.001). Changes in regional identifiability correlate with molecular and morphometric markers of phylogenetic cortical differentiation between human and non-human primates: evolutionary expansion (ρ = 0.35, p < 0.001), and the regional mean expression of human-accelerated ("HAR") genes (ρ = 0.42, p < 0.001) (Fig.1e-h).

As anaesthesia deepens, the quality of cognitive matching deteriorates: the best spatial correlation between brain activity and meta-analytic brain maps from NeuroSynth is lower at deeper levels of anaesthesia (Fig.2a,b). At increasing concentration of sevoflurane, we also observe increasing similarity between the regional functional connectivity patterns of humans and macaques (Fig.2c). The effects of sevoflurane anaesthesia are reversed upon recovery, and are replicated with a different anaesthetic, propofol.

Conclusions:

Altogether, the present results indicate that regardless of the specific anaesthetic used, anaesthetised human brains are less unique, both across individuals and even across species, with regions that are most heterogeneous across individuals and across species being especially affected.

Genetics:

Transcriptomics

Modeling and Analysis Methods:

Connectivity (eg. functional, effective, structural)

Neuroanatomy, Physiology, Metabolism and Neurotransmission:

Anatomy and Functional Systems

Perception, Attention and Motor Behavior:

Consciousness and Awareness 1

Physiology, Metabolism and Neurotransmission :

Pharmacology and Neurotransmission 2

Keywords:

CHEMOARCHITECTURE
Consciousness
Cross-Species Homologues
FUNCTIONAL MRI
Meta- Analysis
Other - Brain fingerprinting; Anesthesia; Cross-species comparison; Evolutionary Expansion; Human-Accelerated Genes

1|2Indicates the priority used for review
Supporting Image: Figure1_withCaption.png
   ·Figure 1
Supporting Image: Figure2_withCaption.png
   ·Figure 2
 

Provide references using author date format

Amico, E., (2018), 'The quest for identifiability in human functional connectomes'. Scientific Reports 8.
Finn, E.S., (2015, 'Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity'. Nature Neuroscience 18, 1664–1671.
Markello, R.D. (2022), 'neuromaps: structural and functional interpretation of brain maps'. Nature Methods 19, 1472–1479.
Milham, M. (2018), 'An Open Resource for Non-human Primate Imaging'. Neuron 100, 61-74.e2.
Mueller, S., (2013), 'Individual variability in functional connectivity architecture of the human brain'. Neuron 77, 586–595.
Ranft, A., (2016), 'Neural Correlates of Sevoflurane-induced Unconsciousness Identified by Simultaneous Functional Magnetic Resonance Imaging and Electroencephalography'. Anesthesiology 125, 861–872.
Sydnor, V.J., (2021), 'Neurodevelopment of the association cortices: Patterns, mechanisms, and implications for psychopathology'. Neuron 109, 2820–2846.
Wei, Y., (2019), 'Genetic mapping and evolutionary analysis of human-expanded cognitive networks'. Nature Communications 10.
Xu, T., (2020), 'Cross-species functional alignment reveals evolutionary hierarchy within the connectome'. NeuroImage 223.
Yarkoni, T., (2011), 'Large-scale automated synthesis of human functional neuroimaging data'. Nature Methods 8, 665–670.