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Montandon ML, Haller S, Rodriguez C, Herrmann FR, Giannakopoulos P. Wearing a KN95/FFP2 facemask has no measureable effect on functional activity in a challenging working memory n-back task. Front Hum Neurosci 2024; 18:1374625. [PMID: 38770397 PMCID: PMC11103007 DOI: 10.3389/fnhum.2024.1374625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 04/22/2024] [Indexed: 05/22/2024] Open
Abstract
Introduction Wide use of facemasks is one of the many consequences of the COVID-19 pandemic. Methods We used an established working memory n-back task in functional magnetic resonance imaging (fMRI) to explore whether wearing a KN95/FFP2 facemask affects overall performance and brain activation patterns. We provide here a prospective crossover design 3 T fMRI study with/without wearing a tight FFP2/KN95 facemask, including 24 community-dwelling male healthy control participants (mean age ± SD = 37.6 ± 12.7 years) performing a 2-back task. Data analysis was performed using the FSL toolbox, performing both task-related and functional connectivity independent component analyses. Results Wearing an FFP2/KN95 facemask did not impact behavioral measures of the 2-back task (response time and number of errors). The 2-back task resulted in typical activations in working-memory related areas in both MASK and NOMASK conditions. There were no statistically significant differences in MASK versus NOMASK while performing the 2-back task in both task-related and functional connectivity fMRI analyses. Conclusion The effect of wearing a tight FFP2/KN95 facemasks did not significantly affect working memory performance and brain activation patterns of functional connectivity.
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Affiliation(s)
- Marie-Louise Montandon
- Memory Center, Department of Rehabilitation and Geriatrics, Geneva University Hospitals, Geneva, Switzerland
| | - Sven Haller
- CIMC—Centre d’Imagerie Médicale de Cornavin, Geneva, Switzerland
- Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden
- Faculty of Medicine of the University of Geneva, Geneva, Switzerland
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Cristelle Rodriguez
- Division of Institutional Measures, Medical Direction, Geneva University Hospitals, Geneva, Switzerland
| | - François R. Herrmann
- Department of Rehabilitation and Geriatrics, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
| | - Panteleimon Giannakopoulos
- Division of Institutional Measures, Medical Direction, Geneva University Hospitals, Geneva, Switzerland
- Department of Psychiatry, Faculty of Medicine, University of Geneva, Geneva, Switzerland
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Grenzebach J, Romanus E. Quantifying the Effect of Noise on Cognitive Processes: A Review of Psychophysiological Correlates of Workload. Noise Health 2022; 24:199-214. [PMID: 36537445 PMCID: PMC10088430 DOI: 10.4103/nah.nah_34_22] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Noise is present in most work environments, including emissions from machines and devices, irrelevant speech from colleagues, and traffic noise. Although it is generally accepted that noise below the permissible exposure limits does not pose a considerable risk for auditory effects like hearing impairments. Yet, noise can have a direct adverse effect on cognitive performance (non-auditory effects like workload or stress). Under certain circumstances, the observable performance for a task carried out in silence compared to noisy surroundings may not differ. One possible explanation for this phenomenon needs further investigation: individuals may invest additional cognitive resources to overcome the distraction from irrelevant auditory stimulation. Recent developments in measurements of psychophysiological correlates and analysis methods of load-related parameters can shed light on this complex interaction. These objective measurements complement subjective self-report of perceived effort by quantifying unnoticed noise-related cognitive workload. In this review, literature databases were searched for peer-reviewed journal articles that deal with an at least partially irrelevant "auditory stimulation" during an ongoing "cognitive task" that is accompanied by "psychophysiological correlates" to quantify the "momentary workload." The spectrum of assessed types of "auditory stimulations" extended from speech stimuli (varying intelligibility), oddball sounds (repeating short tone sequences), and auditory stressors (white noise, task-irrelevant real-life sounds). The type of "auditory stimulation" was related (speech stimuli) or unrelated (oddball, auditory stressor) to the type of primary "cognitive task." The types of "cognitive tasks" include speech-related tasks, fundamental psychological assessment tasks, and real-world/simulated tasks. The "psychophysiological correlates" include pupillometry and eye-tracking, recordings of brain activity (hemodynamic, potentials), cardiovascular markers, skin conductance, endocrinological markers, and behavioral markers. The prevention of negative effects on health by unexpected stressful soundscapes during mental work starts with the continuous estimation of cognitive workload triggered by auditory noise. This review gives a comprehensive overview of methods that were tested for their sensitivity as markers of workload in various auditory settings during cognitive processing.
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Fuks KB, Wigmann C, Altug H, Schikowski T. Road Traffic Noise at the Residence, Annoyance, and Cognitive Function in Elderly Women. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:E1790. [PMID: 31137595 PMCID: PMC6572214 DOI: 10.3390/ijerph16101790] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Revised: 05/15/2019] [Accepted: 05/18/2019] [Indexed: 01/18/2023]
Abstract
The detrimental effects of traffic noise on cognition in children are well documented. Not much is known about the health effects in adults. We investigated the association of residential exposure to road traffic noise and annoyance due to road traffic noise with cognitive function in a cohort of 288 elderly women from the longitudinal Study on the influence of Air pollution on Lung function, Inflammation and Aging (SALIA) in Germany. Residential noise levels-weighted 24-h mean (LDEN) and nighttime noise (LNIGHT)-were modeled for the most exposed facade of dwellings and dichotomized at ≥50 dB(A). Traffic noise annoyance (day and night) was estimated by questionnaire. Cognitive function was assessed using the Consortium to Establish a Registry on Alzheimer's Disease (CERAD-Plus) Neuropsychological Assessment Battery. The modeled noise levels were associated with impaired total cognition and the constructional praxis domain, independently of air pollution. Self-reported noise annoyance was associated with better performance in semantic memory and constructional praxis domains. This finding should be interpreted with caution since we could not control for potential confounding by hearing loss. Noise levels and annoyance were associated, but their health effects seemed mutually independent.
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Affiliation(s)
- Kateryna B Fuks
- IUF-Leibniz Research Institute for Environmental Medicine, 40225 Düsseldorf, Germany.
| | - Claudia Wigmann
- IUF-Leibniz Research Institute for Environmental Medicine, 40225 Düsseldorf, Germany.
| | - Hicran Altug
- IUF-Leibniz Research Institute for Environmental Medicine, 40225 Düsseldorf, Germany.
| | - Tamara Schikowski
- IUF-Leibniz Research Institute for Environmental Medicine, 40225 Düsseldorf, Germany.
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Hasler R, Preti MG, Meskaldji DE, Prados J, Adouan W, Rodriguez C, Toma S, Hiller N, Ismaili T, Hofmeister J, Sinanaj I, Baud P, Haller S, Giannakopoulos P, Schwartz S, Perroud N, Van De Ville D. Inter-hemispherical asymmetry in default-mode functional connectivity and BAIAP2 gene are associated with anger expression in ADHD adults. Psychiatry Res Neuroimaging 2017; 269:54-61. [PMID: 28938222 DOI: 10.1016/j.pscychresns.2017.09.004] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2016] [Revised: 09/07/2017] [Accepted: 09/07/2017] [Indexed: 11/27/2022]
Abstract
Attention deficit hyperactivity disorder (ADHD) is accompanied by resting-state alterations, including abnormal activity, connectivity and asymmetry of the default-mode network (DMN). Concurrently, recent studies suggested a link between ADHD and the presence of polymorphisms within the gene BAIAP2 (i.e., brain-specific angiogenesis inhibitor 1-associated protein 2), known to be differentially expressed in brain hemispheres. The clinical and neuroimaging correlates of this polymorphism are still unknown. We investigated the association between BAIAP2 polymorphisms and DMN functional connectivity (FC) asymmetry as well as behavioral measures in ADHD adults. Resting-state fMRI was acquired from 30 ADHD and 15 healthy adults. For each subject, rs7210438 and rs8079626 within the gene BAIAP2 were genotyped. ADHD severity, impulsiveness and anger were assessed for the ADHD group. Using multivariate analysis of variance, we found that genetic features do have an impact on DMN FC asymmetry. In particular, polymorphism rs8079626 affects medial frontal gyrus and inferior parietal lobule connectivity asymmetry, lower for AA than AG/GG carriers. Further, when combining FC asymmetry and the presence of the rs8079626 variant, we successfully predicted increased externalization of anger in ADHD. In conclusion, a complex interplay between genetic vulnerability and inter-hemispherical DMN FC asymmetry plays a role in emotion regulation in adult ADHD.
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Affiliation(s)
- R Hasler
- Department of Mental Health and Psychiatry, University Hospitals of Geneva, Switzerland; Department of Psychiatry, University of Geneva, Switzerland; Department of Neuroscience, Faculty of Medicine of the University of Geneva, Switzerland
| | - M G Preti
- Department of Radiology and Medical Informatics, University of Geneva, Switzerland; Institute of Bioengineering, Ecole Polytechnique Fédérale de Lausanne, Switzerland.
| | - D E Meskaldji
- Department of Radiology and Medical Informatics, University of Geneva, Switzerland; Institute of Bioengineering, Ecole Polytechnique Fédérale de Lausanne, Switzerland; Institute of Mathematics, Ecole Polytechnique Fédérale de Lausanne, Switzerland
| | - J Prados
- Department of Psychiatry, University of Geneva, Switzerland; Department of Neuroscience, Faculty of Medicine of the University of Geneva, Switzerland
| | - W Adouan
- Department of Neuroscience, Faculty of Medicine of the University of Geneva, Switzerland
| | - C Rodriguez
- Department of Mental Health and Psychiatry, University Hospitals of Geneva, Switzerland
| | - S Toma
- Department of Mental Health and Psychiatry, University Hospitals of Geneva, Switzerland
| | - N Hiller
- Department of Mental Health and Psychiatry, University Hospitals of Geneva, Switzerland
| | - T Ismaili
- Department of Mental Health and Psychiatry, University Hospitals of Geneva, Switzerland
| | - J Hofmeister
- Department of Radiology and Medical Informatics, University of Geneva, Switzerland; Department of Neuroscience, Faculty of Medicine of the University of Geneva, Switzerland
| | - I Sinanaj
- Department of Mental Health and Psychiatry, University Hospitals of Geneva, Switzerland; Department of Neuroscience, Faculty of Medicine of the University of Geneva, Switzerland; Swiss Center for Affective Studies, University of Geneva, Switzerland
| | - P Baud
- Department of Mental Health and Psychiatry, University Hospitals of Geneva, Switzerland
| | - S Haller
- Department of Radiology and Medical Informatics, University of Geneva, Switzerland
| | - P Giannakopoulos
- Department of Mental Health and Psychiatry, University Hospitals of Geneva, Switzerland; Department of Psychiatry, University of Geneva, Switzerland
| | - S Schwartz
- Department of Psychiatry, University of Geneva, Switzerland
| | - N Perroud
- Department of Mental Health and Psychiatry, University Hospitals of Geneva, Switzerland; Department of Psychiatry, University of Geneva, Switzerland
| | - D Van De Ville
- Department of Radiology and Medical Informatics, University of Geneva, Switzerland; Institute of Bioengineering, Ecole Polytechnique Fédérale de Lausanne, Switzerland
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