Habenula functional connectivity predicts individual sleep in healthy adults: A 5.0 T fMRI study
Poster No:
1182
Submission Type:
Abstract Submission
Authors:
Lei Gao1
Institutions:
1Wuhan University, Wuhan, Hubei
First Author:
Introduction:
Sleep is an evolutionarily conserved behavior in animals and humans, which plays crucial role in strength recovery, memory consolidation, synaptic homeostasis, and waste clearance from the nervous system.(Verweij et al., 2014) Brain connectivity encoding individual sleep regulation may be rooted in small, evolutionally conservative nuclei, for example, the habenula (Hb).(Namboodiri et al., 2016) (Killgore, 2013)The habenula (Hb) is a phylogenetically brain region in a small structure with a volume of 31-36 mm3 and its accurate outlining has been a challenge on conventional functional imaging. (Aizawa et al., 2013) Despite in small size, the habenula acts as a critical neuroanatomical hub that regulates behavioral responses to pain, stress, anxiety, reward and sleep. (Boulos et al., 2017)It has been proven that intersubject variability in sleep predicts resting fMRI functional connectivity.(Li et al., 2020) Herein, we investigate the potential role of Hb in sleeprelated attention and memory loss.
Methods:
2.1 Participants
The research comprised 267 healthy volunteers without DSM-V axis 1 illnesses. Sleep and water intake during the night before the MRI were self-reported.
2.2 MRI data
MRI data were collected at Zhongnan Hospital of Wuhan University utilizing a 5.0 T MRI (uMR Jupiter, UIH, China) included: (1) 3D T1 (slice thickness 0.7 mm, 250 sagittal slices); (2) field map; (3) resting-state BOLD (TR = 1.6 s, multiband factor = 5, slice thickness 1.6 mm, no gap, 85 axial slices, 300 functional volumes); (4) DTI data (99 axial slices, 1.05 mm slice thickness, b values = 0, 1020, and 2025 s/mm2) in 32 directions.
2.3 Self-reported questionnaire
Before the MRI scan, participants completed an online questionnaire about their sleep hours previous night, the average sleep time in the preceding three months, and their 24-hour alcohol, tea, and coffee use. Two blinded neurologists performed neurobehavioral examinations.
2.4 Habenula segmentation
The Hb can be divided into lateral (LHb) and medial (MHb) parts. Using the 5T MRI and various scanning sequences, including T1-3D (0.4 mm*0.5 mm*0.5mm), T2-3D, 3D T2-FLAIR, and MTC, particularly, the MTC sequences are sensitive to neuromelanin and suitable for the outlying of the boundaries. Two senior neuroradiologists segmented the Hb from LHb and MHb.
2.5 Hb functional connectivity
Hb functional connectivity was performed using the standard processing steps in the CONN toolbox (Ver 22a; https://www.nitrc.org/projects/conn).
2.6 Hb structural connectivity
Hb structural connectivity was obtained using DSI Studio.
2.7 Metanalytical mapping and functional decoding of the Hb
To gain a deeper understanding of the coupling network systems and functional roles associated with the identified clusters, we utilized the NeuroSynth.
The research comprised 267 healthy volunteers without DSM-V axis 1 illnesses. Sleep and water intake during the night before the MRI were self-reported.
2.2 MRI data
MRI data were collected at Zhongnan Hospital of Wuhan University utilizing a 5.0 T MRI (uMR Jupiter, UIH, China) included: (1) 3D T1 (slice thickness 0.7 mm, 250 sagittal slices); (2) field map; (3) resting-state BOLD (TR = 1.6 s, multiband factor = 5, slice thickness 1.6 mm, no gap, 85 axial slices, 300 functional volumes); (4) DTI data (99 axial slices, 1.05 mm slice thickness, b values = 0, 1020, and 2025 s/mm2) in 32 directions.
2.3 Self-reported questionnaire
Before the MRI scan, participants completed an online questionnaire about their sleep hours previous night, the average sleep time in the preceding three months, and their 24-hour alcohol, tea, and coffee use. Two blinded neurologists performed neurobehavioral examinations.
2.4 Habenula segmentation
The Hb can be divided into lateral (LHb) and medial (MHb) parts. Using the 5T MRI and various scanning sequences, including T1-3D (0.4 mm*0.5 mm*0.5mm), T2-3D, 3D T2-FLAIR, and MTC, particularly, the MTC sequences are sensitive to neuromelanin and suitable for the outlying of the boundaries. Two senior neuroradiologists segmented the Hb from LHb and MHb.
2.5 Hb functional connectivity
Hb functional connectivity was performed using the standard processing steps in the CONN toolbox (Ver 22a; https://www.nitrc.org/projects/conn).
2.6 Hb structural connectivity
Hb structural connectivity was obtained using DSI Studio.
2.7 Metanalytical mapping and functional decoding of the Hb
To gain a deeper understanding of the coupling network systems and functional roles associated with the identified clusters, we utilized the NeuroSynth.
Results:
We have identified that the lateral and medial portions of the Hb are structurally connected to the insula and ventral prefrontal cortices. Functionally, the lateral and medial portions of the Hb are anticorrelated to the visual and salience networks.
In the association analysis with individual sleep amounts, we found that average sleep amount rather than last night's sleep time predicted the anticorrelation between the visual and salience networks.
Further lifespan trajectory analysis revealed that these anticorrelations are age-dependent.
In the association analysis with individual sleep amounts, we found that average sleep amount rather than last night's sleep time predicted the anticorrelation between the visual and salience networks.
Further lifespan trajectory analysis revealed that these anticorrelations are age-dependent.
·Habenula neuroanatomy and functional connectivity
·Lifespan structural connectivity of the Hb
Conclusions:
This high-resolution functional and structural imaging of the Hb and its association with individual sleep suggest the critical role of the Hb in the regulation of cognitive and emotional processes. Our work is the first to link the habenula to sleep in a high-resolution, large-sample population of healthy people with a lifespan trajectory. It reveals the brain underpinnings of sleep regulation and provides insight into associated sleep problems.
Lifespan Development:
Aging 1
Neuroanatomy, Physiology, Metabolism and Neurotransmission:
Anatomy and Functional Systems
Novel Imaging Acquisition Methods:
Anatomical MRI 2
Diffusion MRI
Physiology, Metabolism and Neurotransmission :
Neurophysiology of Imaging Signals
Keywords:
Cortex
MRI
Sleep
1|2Indicates the priority used for review
Provide references using author date format
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