Sleepiness should be reinvestigated through the lens of clinical neurophysiology: A mixed expertal and big-data Natural Language Processing approach
Neurophysiologie Clinique. 2024-04-01; 54(2): 102937
DOI: 10.1016/j.neucli.2023.102937
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1. Neurophysiol Clin. 2024 Feb 23;54(2):102937. doi:
10.1016/j.neucli.2023.102937. Online ahead of print.
Sleepiness should be reinvestigated through the lens of clinical
neurophysiology: A mixed expertal and big-data Natural Language Processing
approach.
Martin VP(1), Gauld C(2), Taillard J(3), Peter-Derex L(4), Lopez R(5),
Micoulaud-Franchi JA(6).
Author information:
(1)Deep Digital Phenotyping Research Unit, Department of Precision Health,
Luxembourg Institute of Health, L-1445 Strassen, Luxembourg; Univ. Bordeaux,
CNRS, Bordeaux INP, LaBRI, UMR 5800, F-33400 Talence, France; Univ. Bordeaux,
CNRS, SANPSY, UMR 6033, F-33000 Bordeaux, France.
(2)Service Psychopathologie du Développement de l’Enfant et de l’Adolescent,
Hospices Civils de Lyon & Université de Lyon 1, France; Institut des Sciences
Cognitives Marc Jeannerod, UMR 5229 CNRS & Université Claude Bernard Lyon 1,
France.
(3)Univ. Bordeaux, CNRS, SANPSY, UMR 6033, F-33000 Bordeaux, France.
(4)Lyon Neuroscience Research Centre, INSERM U1028, CNRS UMR 5292, Lyon, France;
Centre for Sleep Medicine and Respiratory Diseases, Croix-Rousse Hospital,
Hospices Civils de Lyon, Lyon 1 University, Lyon, France.
(5)National Reference Centre for Orphan Diseases, Narcolepsy-Rare hypersomnias,
Sleep Unit, Department of Neurology, CHU de Montpellier, University of
Montpellier, Montpellier, France; Institute for Neurosciences of Montpellier
(INM), University of Montpellier, Inserm, Montpellier, France.
(6)Univ. Bordeaux, CNRS, SANPSY, UMR 6033, F-33000 Bordeaux, France; University
Sleep Clinic, University Hospital of Bordeaux, Place Amélie Raba-Leon, 33 076
Bordeaux, France. Electronic address:
.
Historically, the field of sleep medicine has revolved around
electrophysiological tools. However, the use of these tools as a
neurophysiological method of investigation seems to be underrepresented today,
from both international recommendations and sleep centers, in contrast to
behavioral and psychometric tools. The aim of this article is to combine a
data-driven approach and neurophysiological and sleep medicine expertise to
confirm or refute the hypothesis that neurophysiology has declined in favor of
behavioral or self-reported dimensions in sleep medicine for the investigation
of sleepiness, despite the use of electrophysiological tools. Using Natural
Language Processing methods, we analyzed the abstracts of the 18,370 articles
indexed by PubMed containing the terms ‘sleepiness’ or ‘sleepy’ in the title,
abstract, or keywords. For this purpose, we examined these abstracts using two
methods: a lexical network, enabling the identification of concepts
(neurophysiological or clinical) related to sleepiness in these articles and
their interconnections; furthermore, we analyzed the temporal evolution of these
concepts to extract historical trends. These results confirm the hypothesis that
neurophysiology has declined in favor of behavioral or self-reported dimensions
in sleep medicine for the investigation of sleepiness. In order to bring
sleepiness measurements closer to brain functioning and to reintroduce
neurophysiology into sleep medicine, we discuss two strategies: the first is
reanalyzing electrophysiological signals collected during the standard sleep
electrophysiological test; the second takes advantage of the current trend
towards dimensional models of sleepiness to situate clinical neurophysiology at
the heart of the redefinition of sleepiness.
Copyright © 2023 Elsevier Masson SAS. All rights reserved.
DOI: 10.1016/j.neucli.2023.102937
PMID: 38401240
Conflict of interest statement: Declaration of Competing Interest The authors
declare no conflicts of interest in connection with this study.