@article{pmid38813427,

title = {Evaluation of the effects of blue-enriched white light on cognitive performance, arousal, and overall appreciation of lighting},

author = {Valérie Gagné and Rose Turgeon and Valérie Jomphe and Claude M H Demers and Marc Hébert},

doi = {10.3389/fpubh.2024.1390614},

issn = {2296-2565},

year  = {2024},

date = {2024-01-01},

journal = {Front Public Health},

volume = {12},

pages = {1390614},

abstract = {INTRODUCTION: Light's non-visual effects on the biological clock, cognitive performance, alertness, and mental health are getting more recognized. These are primarily driven by blue light, which triggers specific retinal cells containing melanopsin. Traditionally, research on light has relied on correlated color temperature (CCT) as a metric of its biological influence, given that bluer light corresponds to higher Kelvin values. However, CCT proves to be an inadequate proxy of light's biological effects. A more precise metric is melanopic Equivalent Daylight Illuminance (mel-EDI), which aligns with melanopsin spectrum. Studies have reported positive cognitive impacts of blue-enriched white light. It's unclear if the mixed results are due to different mel-EDI levels since this factor wasn't assessed.nnMETHOD: Given recent recommendations from experts to aim for at least 250 mel-EDI exposure daily for cognitive benefits, our aim was to assess if a 50-minute exposure to LED light with 250 mel-EDI could enhance concentration and alertness, without affecting visual performance or comfort compared to conventional lighting producing around 150 mel-EDI. To ensure mel-EDI's impact, photopic lux levels were kept constant across conditions. Conditions were counterbalanced, parameters included subjective sleepiness (KSS; Karolinska Sleepiness Scale), concentration (d2-R test), visual performance (FrACT; Freiburg Visual Acuity and Contrast Test), general appreciation (VAS; Visual Analogous Scale), preferences and comfort (modified OLS; Office Lighting Survey).nnRESULTS: The experimental light significantly reduced sleepiness ( = 0.03, Cohen's d = 0.42) and also decreased contrast sensitivity ( = 0.01, Cohen's d = 0.50). The conventional light was found to be more comfortable ( = 0.002, Cohen's d = 0.62), cheerful ( = 0.02, Cohen's d = 0.46) and pleasant ( = 0.005, Cohen's d = 0.55) while the experimental light was perceived as brighter ( = 0.004, Cohen's d = 0.58) and tended to be more stimulating ( = 0.10). Notably, there was a preference for conventional lighting ( = 0.004, Cohen's d=0.56) and concentration was equally improved in both conditions.nnDISCUSSION: Despite the lack of further improvement in concentration from exposure to blue-enriched light, given the observed benefits in terms of vigilance, further research over an extended period would be justified. These findings could subsequently motivate cognitive optimization through lighting for workers that would benefit from artificial lighting such as in northern regions.},

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tppubtype = {article}

}

@article{pmid37290571,

title = {Evaluation of electroretinography (ERG) parameters as a biomarker for ADHD},

author = {Marc-André Dubois and Charles-Antoine Pelletier and Chantal Mérette and Valérie Jomphe and Rose Turgeon and Richard E Bélanger and Simon Grondin and Marc Hébert},

doi = {10.1016/j.pnpbp.2023.110807},

issn = {1878-4216},

year  = {2023},

date = {2023-12-01},

journal = {Prog Neuropsychopharmacol Biol Psychiatry},

volume = {127},

pages = {110807},

abstract = {BACKGROUND: The retina is recognized as an accessible part of the brain due to their common embryonic origin. The electroretinogram (ERG) has proven to be a valuable tool for detecting schizophrenia and bipolarity. We therefore investigated its ability to detect ADHD.nnMETHODS: The cone and rod luminance response functions of the ERG were recorded in 26 ADHD subjects (17 women and 9 men) and 25 controls (16 women and 9 men).nnRESULTS: No significant differences were found between the mixed groups, but sexual dysmorphia was observed in the significant results. In males, a significant prolonged cone a-wave latency was observed in the ADHD group. In females, we observed a significant decrease in the cone a- and b-wave amplitudes and a trend for a prolonged cone b-wave latency as well as a higher scotopic mixed rod-cone a-wave in the ADHD group.nnCONCLUSION: The data obtained in this study show the potential of the ERG to detect ADHD, warranting further large-scale studies.},

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pubstate = {published},

tppubtype = {article}

}

@article{pmid36962091,

title = {A Blue-Enriched Light Intervention Counteracts the Alertness Decrement Among Mine Workers on Extended 12-Hour Night Shift Periods},

author = {Marc Hébert and Andrée-Anne Lavigne and Julie Auclair and Jeanne-Sophie Martin and Kimberley Francis and Justine Dumoulin Gagnon and Marc-André Dubois and Luc Laberge},

doi = {10.1097/JOM.0000000000002849},

issn = {1536-5948},

year  = {2023},

date = {2023-07-01},

journal = {J Occup Environ Med},

volume = {65},

number = {7},

pages = {584--589},

abstract = {OBJECTIVE: The aim of the study is to assess whether a blue-enriched light intervention improves nocturnal alertness and daytime sleep of night workers.nnMETHODS: Thirteen miners performing 12-hour night shifts for 12 consecutive nights were exposed to a baseline and a blue-enriched light condition. All subjects wore an actigraph and completed a Psychomotor Vigilance Task at the beginning and at the end of each shift. Data were analyzed with linear mixed models.nnRESULTS: In the blue-enriched light condition, the daily increase in median reaction time (RT), mean RT, slowest 10% of RT, and fastest 10% of RT was lower than that observed in the baseline condition between day 1 and 12 ( P ≤ 0.05).nnCONCLUSIONS: The addition of blue-enriched light during a long period of extended night shifts counteracts most of the daily decline in nocturnal alertness observed in the standard lighting condition, irrespectively of sleep duration and sleep efficiency.},

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pubstate = {published},

tppubtype = {article}

}

@article{pmid36401192,

title = {Developing a clinical decision tool based on electroretinogram to monitor the risk of severe mental illness},

author = {Rossana Peredo and Marc Hébert and Chantal Mérette},

doi = {10.1186/s12888-022-04375-3},

issn = {1471-244X},

year  = {2022},

date = {2022-11-01},

journal = {BMC Psychiatry},

volume = {22},

number = {1},

pages = {718},

abstract = {BACKGROUND: We have shown that electroretinograms can discriminate between patients with severe mental illness (SMI) and healthy controls in previous studies. We now intend to enhance the development and clinical utility of ERG as a biological tool to monitor the risk of SMI.nnMETHODOLOGY: A sample of 301 SMI patients (bipolar disorder or schizophrenia) and 200 controls was first split into a training (N = 401) and testing dataset (N = 100). A logistic regression using ERG was modeled in the training data, while external validation and discriminative ability were assessed in the testing data. A decision curve analysis was used to test clinical usefulness. Moreover, the identification of thresholds of uncertainty based on the two-graph ROC and the interval of uncertainty was used to enhance prediction.nnRESULTS: The discriminative assessment of the ERG showed very high sensitivity (91%) and specificity (89%) after considering uncertainty levels. Furthermore, for prediction probabilities ranging from 0.14 to 0.95 in the testing data, the net benefit of using our ERG model to decide whether to intervene or not exceeded that of never or always intervening.nnCONCLUSION: The ERG predicted SMI risk with a high level of accuracy when uncertainty was accounted for. This study further supports the potential of ERG to become a useful clinical decision tool to decide the course of action for subjects at risk of SMI. However, further investigation is still needed in longitudinal studies to assess the external validity of the instrument.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid35620240,

title = {Imagery datasets for photobiological lighting analysis of architectural models with shading panels},

author = {Mojtaba Parsaee and Claude Mh Demers and Marc Hébert and Jean-François Lalonde},

doi = {10.1016/j.dib.2022.108278},

issn = {2352-3409},

year  = {2022},

date = {2022-06-01},

journal = {Data Brief},

volume = {42},

pages = {108278},

abstract = {This paper describes eight imagery datasets including around 12000 images grouped in 1220 sets. The images were captured inside an architectural model aimed at exploring the impact of shading panels on photobiological lighting parameters. The architectural model represents a generic space at 1:10 scale with a single side fully glazing façade used to install shading panels. The datasets present interior lighting conditions under different shading configurations in terms of surface colors and glossiness, horizontal and vertical orientations and upwards, downwards, and left/right inclinations of panels, V-shape opening, low to high densities, and top and bottom positions at the window. The experiments of shading panel configurations were conducted under four to six different exterior overcast daylighting conditions simulated with very cool to very warm color temperatures and high to low intensities inside an artificial sky chamber. The datasets include bracketed low dynamic range (LDR) images which enable generating high dynamic range (HDR) images for photobiological lighting evaluations. Images were captured from the side and back viewpoints inside the model by using Raspberry Pi camera modules mounted with fisheye lenses. The datasets are reusable and useful for architects, lighting designers, and building engineers to study the impact of architectural variables and shading panels on photobiological lighting conditions in space. The datasets will also be interesting for computer vision specialists to run machine learning techniques and train artificial intelligence for architectural applications. The datasets are partially used in Parsaee, et al. [1]. The datasets are compiled as part of a doctoral dissertation in architecture at Laval University authored by Mojtaba Parsaee [2]. The datasets are shared through two Mendeley data repositories [3,4].},

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pubstate = {published},

tppubtype = {article}

}

@article{pmid35379610,

title = {For a structured response to the psychosocial consequences of the restrictive measures imposed by the global COVID-19 health pandemic: the MAVIPAN longitudinal prospective cohort study protocol},

author = {Annie LeBlanc and Marie Baron and Patrick Blouin and George Tarabulsy and Francois Routhier and Catherine Mercier and Jean-Pierre Despres and Marc Hébert and Yves De Koninck and Caroline Cellard and Delphine Collin-Vézina and Nancy Côté and Émilie Dionne and Richard Fleet and Marie-Hélène Gagné and Maripier Isabelle and Lily Lessard and Matthew Menear and Chantal Merette and Marie-Christine Ouellet and Marc-André Roy and Marie-Christine Saint-Jacques and Claudia Savard and },

doi = {10.1136/bmjopen-2021-048749},

issn = {2044-6055},

year  = {2022},

date = {2022-04-01},

journal = {BMJ Open},

volume = {12},

number = {4},

pages = {e048749},

abstract = {INTRODUCTION: The COVID-19 pandemic and associated restrictive measures have caused important disruptions in economies and labour markets, changed the way we work and socialise, forced schools to close and healthcare and social services to reorganise. This unprecedented crisis forces individuals to make considerable efforts to adapt and will have psychological and social consequences, mainly on vulnerable individuals, that will remain once the pandemic is contained and will most likely exacerbate existing social and gender health inequalities. This crisis also puts a toll on the capacity of our healthcare and social services structures to provide timely and adequate care. The MAVIPAN (Ma vie et la pandémie/ My Life and the Pandemic) study aims to document how individuals, families, healthcare workers and health organisations are affected by the pandemic and how they adapt.nnMETHODS AND ANALYSIS: MAVIPAN is a 5-year longitudinal prospective cohort study launched in April 2020 across the province of Quebec (Canada). Quantitative data will be collected through online questionnaires (4-6 times/year) according to the evolution of the pandemic. Qualitative data will be collected with individual and group interviews and will seek to deepen our understanding of coping strategies. Analysis will be conducted under a mixed-method umbrella, with both sequential and simultaneous analyses of quantitative and qualitative data.nnETHICS AND DISSEMINATION: MAVIPAN aims to support the healthcare and social services system response by providing high-quality, real-time information needed to identify those who are most affected by the pandemic and by guiding public health authorities' decision making regarding intervention and resource allocation to mitigate these impacts. MAVIPAN was approved by the Ethics Committees of the Primary Care and Population Health Research Sector of CIUSSS de la Capitale-Nationale (Committee of record) and of the additional participating institutions.nnTRIAL REGISTRATION NUMBER: NCT04575571.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid35140454,

title = {Analysis of Molecular Genetic Testing Referrals for Inherited Retinal Dystrophies in a Quebec Tertiary Care Center Over a Decade},

author = {Alexandre Lachance and Mélanie Hébert and Marc Hébert and Christian Salesse and Serge Bourgault and Ali Dirani},

doi = {10.2147/OPTH.S346103},

issn = {1177-5467},

year  = {2022},

date = {2022-01-01},

journal = {Clin Ophthalmol},

volume = {16},

pages = {239--244},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid39144760,

title = {The Electroretinogram as a Potential Biomarker of Psychosis in Children at Familial Risk},

author = {Isabel Moreau and Marc Hébert and Michel Maziade and Alexandra Painchaud and Chantal Mérette},

doi = {10.1093/schizbullopen/sgac016},

issn = {2632-7899},

year  = {2022},

date = {2022-01-01},

journal = {Schizophr Bull Open},

volume = {3},

number = {1},

pages = {sgac016},

abstract = {We previously proposed the electroretinogram (ERG) as a promising biomarker of major psychiatric disorders such as schizophrenia (SZ) and bipolar disorder (BP), given that we found anomalies in the ERG parameters of patients with these diagnoses as well as in their children who are at high risk (HR) of developing such disorders. The aim of the present study is to investigate the usefulness of the ERG for individual detection, among HR children, of an ERG profile resembling that of a SZ patient, as this may indicate a stronger likelihood of transition to psychosis. Using a logistic regression model previously derived from the ERG assessments of SZ patients and control (CT) subjects, individual risk scores were obtained for 61 HR and 80 CT youth. Those with a very high individual risk score were classified as "schizophrenia-like" (). We found that the HR subjects were 3.5 times more likely to be classified as  than the CT subjects (95% CI [1.1-11.8]). Furthermore, among the HR subjects, we studied the relationship between the  classification and psychotic-like experiences and found that HR subjects classified as  were 2.7 times more likely than all remaining HR subjects to have experienced psychotic-like symptoms (95% CI [1.3-4.6]), and 6.8 times more likely than those with a very low individual risk score (95% CI [1.4-40.4]). Our results suggest that a model previously derived from ERG data on SZ patients could be a potential tool for early detection of the susceptibility to a psychotic-like disorder among familial HR children.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid33588653,

title = {Timely use of in-car dim blue light and blue blockers in the morning does not improve circadian adaptation of fast rotating shift workers},

author = {Jeanne Sophie Martin and Luc Laberge and Alexandre Sasseville and Marilie Bérubé and Samuel Alain and Joëlle Lavoie and Jérôme Houle and Marc Hébert},

doi = {10.1080/07420528.2021.1872592},

issn = {1525-6073},

year  = {2021},

date = {2021-05-01},

journal = {Chronobiol Int},

volume = {38},

number = {5},

pages = {705--719},

abstract = {Circadian adaptation to night work usually does not occur in naturalistic conditions, largely due to exposure to low levels of light during the night and light in the morning on the way home. This leads to circadian misalignment, which has documented deleterious effects on sleep and functioning during waking hours. Chronic circadian misalignment is also being increasingly associated with long-term health comorbidities. As the circadian system is mostly sensitive to short wavelengths (i.e., blue light) and less sensitive to long wavelengths (i.e., red light), shaping light exposure in a "wavelength-wise" manner has been proposed to promote partial adaptation to night shifts, and, therefore, alleviate circadian rhythms disruption. This report presents results from two cross-over designed studies that aimed to investigate the effects of three different light conditions on circadian phase, sleepiness, and alertness of police patrol officers on a rotating shift schedule. The first study took place during summer (n = 15) and the second study (n = 25) during winter/early spring. In both studies, all participants went through three conditions composed of four consecutive night shifts: 1) in-car dim blue light exposure during the night shift and wearing of blue-blocking glasses (BBG) in the morning after 05:00 h; 2) in-car red light exposure during the night shift and wearing of BBG in the morning after 05:00 h; 3) a control condition with no intervention. To assess circadian phase position, salivary melatonin was collected hourly the night before and the night after each condition. Sleep was monitored by wrist actigraphy. Also, a 10-min Psychomotor Vigilance-Task was administered at the beginning and end of each night shift and the Karolinska Sleepiness Scale was completed every 2 h during each night shift. In the summer study, no difference was found in alertness and sleepiness between conditions. Participants though exhibited greater (≈3 h) phase delay after four consecutive night shifts in the control condition (in which morning light exposure was expected to prevent phase delay) than after the blue and red conditions (≈2 h) (in which wearing BBG were expected to promote phase delay). In the second study performed during the winter/early spring, a comparable ≈2 h phase delay was found in each of the three conditions, with no difference in alertness and sleepiness between conditions. In conclusion, participants in both studies exhibited modest phase delay across the four night shifts, even during the control conditions. Still, re-entrainment was not fast enough to produce partial circadian adaptation after four night shifts. A greater number of consecutive night shifts may be necessary to produce enough circadian alignment to elicit benefits on sleepiness and alertness in workers driving a motorized vehicle during night shifts. In-car dim blue light exposure combined with the wearing of BBG in the morning did not show the expected benefits on circadian adaptation, sleepiness, and alertness in our studies. Higher levels of light may be warranted when implementing light intervention in a motorized vehicle setting.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid34483859,

title = {Sex-Specific Retinal Anomalies Induced by Chronic Social Defeat Stress in Mice},

author = {Eric Arsenault and Andrée-Anne Lavigne and Samaneh Mansouri and Anne-Marie Gagné and Kimberley Francis and Thibault P Bittar and Francis Quessy and Khaled Abdallah and Annie Barbeau and Marc Hébert and Benoit Labonté},

doi = {10.3389/fnbeh.2021.714810},

issn = {1662-5153},

year  = {2021},

date = {2021-01-01},

journal = {Front Behav Neurosci},

volume = {15},

pages = {714810},

abstract = {Major depressive disorder (MDD) is one of the most common consequences of chronic stress. Still, there is currently no reliable biomarker to detect individuals at risk to develop the disease. Recently, the retina emerged as an effective way to investigate psychiatric disorders using the electroretinogram (ERG). In this study, cone and rod ERGs were performed in male and female C57BL/6 mice before and after chronic social defeat stress (CSDS). Mice were then divided as susceptible or resilient to stress. Our results suggest that CSDS reduces the amplitude of both oscillatory potentials and a-waves in the rods of resilient but not susceptible males. Similar effects were revealed following the analysis of the cone b-waves, which were faster after CSDS in resilient mice specifically. In females, rod ERGs revealed age-related changes with no change in cone ERGs. Finally, our analysis suggests that baseline ERG can predict with an efficacy up to 71% the expression of susceptibility and resilience before stress exposition in males and females. Overall, our findings suggest that retinal activity is a valid biomarker of stress response that could potentially serve as a tool to predict whether males and females will become susceptible or resilient when facing CSDS.},

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pubstate = {published},

tppubtype = {article}

}