Maho Kitagawa1, Daisuke Sawamura2, Yuta Urushibata3, Hiroyuki Hamaguchi1, Philip Kyeremeh Jnr Oppong1, Daiki Sakamoto1, and Khin Khin Tha1,4
1Laboratory for Biomarker Imaging Science, Hokkaido University Graduate School of Biomedical Science and Engineering, Sapporo, Japan, 2Department of Functioning and Disability, Hokkaido University Faculty of Health Sciences, Sapporo, Japan, 3Siemens Healthcare K.K., Tokyo, Japan, 4Global Center for Biomedical Science and Engineering, Hokkaido University Faculty of Medicine, Sapporo, Japan
Synopsis
Keywords: Neurofluids, Brain, sleep, jet lag, glymphatic system, metabolite, cognition, functional connectivity
Little
had been reported about the effect of nighttime awakening (virtual jet lag) on
the brain structure and function. In this prospective study which evaluated if
short-time nighttime awakening due to virtual conference attendance affected
the brain function, increased sleepiness,
impaired information-processing ability, decreased mALPS index to suggest
impaired glymphatic system functioning, a trend toward altered functional
connectivity, were observed after nighttime awakening. The finding on mALPS
index was similar to true jet lag.
Introduction
The
COVID-19 pandemic withheld transcontinental travel. Consequently, there was an abrupt
increase in virtual conferences, of which ISMRM2021 and RSNA2021 were no
exceptions. Virtual meetings in different time zones demand nighttime
awakening, which can cause jet lag-like symptoms, a condition known as virtual
jet lag.
Circadian
rhythm disturbances associated with jetlag or shift work adversely affect
cognitive performance and brain structure and function, as evident by MRI1-3.
A volumetric study on airline crews and shift workers has shown decreased
regional brain volume1. Resting-state functional MRI (rsfMRI) has
shown altered functional connectivity (FC) in several brain regions in
travelers under jetlag2.
Very
little has been explored about the effect of virtual jet lag on brain structure
and function. In this prospective study, we aimed to evaluate if short-time nighttime
awakening due to virtual conference attendance affected brain function. Materials and methods
Fourteen
daytime workers who attended ISMRM2021 or RSNA2021 virtually and consented to
the study were enrolled. The study protocol (Fig 1) consisted of Karolinska Sleepiness
Scale (KSS) to assess the degree of sleepiness, neurocognitive function tests
{i.e., Attention
Network Task (ANT), Double-N Back Test (DNBT), and Wechsler Adult Intelligence
Scale (WAIS)-III and IV} to
determine concentration and attention, FC by rsfMRI to assess altered brain
function, 1H+MRS to evaluate any perturbations in
neurotransmitter release particularly GABA and glutamate (Glx), and modified
DTI analysis along perivascular space (mALPS) index by DTI to determine the
glymphatic system functioning4-5.
MRI was conducted using a 3T scanner. The major scan parameters were: TR/TE= 3000/30 ms and 140 dynamic
scans for rsfMRI; TR/TE= 3000/68 ms and 40x35x20 mm3 at anterior cingulate
for 1H+MRS; and TR/TE=
5000/43 ms, b=700 s/mm2, and 20 MPG directions for DTI. FC was derived using
ROI-to-ROI analysis of
CONN toolbox, taking default mode network (DMN) as the seed ROI. GABA, Glx, and GABA/Glx were
calculated using Gannet. mALPS was calculated from Dxx, Dyy, Dzz of DTI, using Dr.View software.
During
ISMRM2021or RSNA2021, the volunteers actively attended the meetings from 10 pm
through 5 am local time (UTC+9 hours) and remained awake [Condition 1]. They
were allowed to have enough sleep before the event. The evaluation, i.e., the
level of sleepiness, neurocognitive function tests, and MRI, was done before
and after the virtual meeting. To differentiate the results from daily
fluctuations, the volunteers underwent the evaluation before and after daily
routine work [Condition 2] and before and after bed (n=7) [Condition 3]. To determine whether
the virtual jet lag was affected in the same way as actual jet lag, one of the
volunteers who attended ISMRM2022 (UTC) and QMR2022 (UTC+1 hour) in person
undertook the evaluation in the evening after returning from the trip and the
following morning [Condition 4].
Paired
t- or Wilcoxon signed-rank tests were used to determine a difference between
evaluations [Conditions 1-3]. Partial correlation analysis was also
performed to determine a relationship between cognitive performance and the MRI
indices. In all conditions, corrected P <0.05 was considered statistically
significant.Results
The
KSS significantly increased after nighttime wakefulness, as was a significant
decrease in digit symbol coding (DSC), symbol search (SS), and processing speed
index (PSI) of WAIS-III and IV test scores (Fig 2) [Condition 1].
The mALPS index also significantly decreased after nighttime wakefulness (Fig
3). FC between DMN and left superior frontal gyrus (SFG) tended to
increase, but that between DMN and the left caudate tended to decrease (Fig 4).
FC between DMN and the left SFG showed a significant moderate positive
correlation with KSS (r= 0.542).
No
significant difference was observed in the evaluation parameters for Condition 2. However, for Condition
3, the DSC test score after
the bed was significantly higher than that before the bed (Fig 2).
As
for Condition 4, an increase in the KSS and SS and PSI test scores and a
decrease in the mALPS index were noted, in the following morning (Table 1). Discussion
A
decrease in DSC, SS, and PSI suggests impaired information-processing
ability. From the observations of Condition 1, it can be taken that
increased sleepiness after nighttime wakefulness impairs information-processing
ability. The decrease in the mALPS index is in alignment with previous reports6-7.
Nighttime waking decreases perivascular system diffusivity and impairs the brain's
waste excretion system functioning. A tendency toward increased FC between DMN and left SFG may indicate the brain's attempts
to sustain the information-processing ability. Failure to observe a difference
in GABA or Glx may be due to a more dynamic nature of neurotransmitter
discharge or insufficient temporal resolution.
The
lack of significant difference in the evaluation parameters for Condition 2
implies that routine daily work affects very little on cognitive performance
and brain function and that the observations of Condition 1 are due to short-term
nighttime waking.
Improved
DSC score after bed in Condition 3 may indicate the importance of
adequate sleep for enhanced cognitive performance.
Although
lacking statistical proof, the observations of Condition 4 suggest that
jet lag-impaired brain function recovers more rapidly than the recovery of the glymphatic system. Conclusion
Nighttime
wakefulness can sufficiently impair the information-processing ability and the
functioning of the glymphatic system. Acknowledgements
No acknowledgement found.
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