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Multimodal MRI reveals brainstem connections that sustain wakefulness in human consciousness.

Authors :
Edlow BL
Olchanyi M
Freeman HJ
Li J
Maffei C
Snider SB
Zöllei L
Iglesias JE
Augustinack J
Bodien YG
Haynes RL
Greve DN
Diamond BR
Stevens A
Giacino JT
Destrieux C
van der Kouwe A
Brown EN
Folkerth RD
Fischl B
Kinney HC
Source :
Science translational medicine [Sci Transl Med] 2024 May; Vol. 16 (745), pp. eadj4303. Date of Electronic Publication: 2024 May 01.
Publication Year :
2024

Abstract

Consciousness is composed of arousal (i.e., wakefulness) and awareness. Substantial progress has been made in mapping the cortical networks that underlie awareness in the human brain, but knowledge about the subcortical networks that sustain arousal in humans is incomplete. Here, we aimed to map the connectivity of a proposed subcortical arousal network that sustains wakefulness in the human brain, analogous to the cortical default mode network (DMN) that has been shown to contribute to awareness. We integrated data from ex vivo diffusion magnetic resonance imaging (MRI) of three human brains, obtained at autopsy from neurologically normal individuals, with immunohistochemical staining of subcortical brain sections. We identified nodes of the proposed default ascending arousal network (dAAN) in the brainstem, hypothalamus, thalamus, and basal forebrain. Deterministic and probabilistic tractography analyses of the ex vivo diffusion MRI data revealed projection, association, and commissural pathways linking dAAN nodes with one another and with DMN nodes. Complementary analyses of in vivo 7-tesla resting-state functional MRI data from the Human Connectome Project identified the dopaminergic ventral tegmental area in the midbrain as a widely connected hub node at the nexus of the subcortical arousal and cortical awareness networks. Our network-based autopsy methods and connectivity data provide a putative neuroanatomic architecture for the integration of arousal and awareness in human consciousness.

Details

Language :
English
ISSN :
1946-6242
Volume :
16
Issue :
745
Database :
MEDLINE
Journal :
Science translational medicine
Publication Type :
Academic Journal
Accession number :
38691619
Full Text :
https://doi.org/10.1126/scitranslmed.adj4303