@article{pmid40236517,

title = {A 360-degree imagery-multisensor system for visualizing environmental parameters in architecture and urban spaces},

author = {Mojtaba Parsaee and André Potvin and Jean-François Lalonde and Marc Hébert and Claude M H Demers},

doi = {10.1016/j.ohx.2025.e00643},

issn = {2468-0672},

year  = {2025},

date = {2025-06-01},

journal = {HardwareX},

volume = {22},

pages = {e00643},

abstract = {This research has designed a 360-degree imagery-multisensor system aiming to capture and visualize environmental parameters in architecture and urban spaces. Unlike existing tools, this system enables simultaneous recording of both imagery and non-imagery environmental data, including lighting, thermal, air quality, sound, and physical space parameters, within a 360-degree field of view. Lighting conditions are captured using panoramic high dynamic range imagery, complemented by a 360-degree array of sensors measuring illuminance levels and spectral power distribution. Thermal and air quality conditions are recorded using 360-degree thermal imagery, combined with hygrometers and air particle meters. Sound levels are also monitored across the full 360-degree field. The system is built using 3D printing technologies and Raspberry Pi computers, equipped with various sensor modules. Custom Python scripts enable real-time data capture, processing, and visualization. This cost-effective, easy-to-manufacture, programmable, and customizable innovation is aimed at students and educators in design and architecture, as well as building engineers. Furthermore, integrating imagery and sensor data supports the development of immersive virtual and augmented reality applications, offering new opportunities for education and the exploration of effective design solutions.},

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}

@article{pmid40530583,

title = {Enhancing the diagnostic potential of electroretinography in Parkinson's disease: A review of protocol and cohort criteria},

author = {Victoria Soto Linan and Marc Hébert and Martin Lévesque},

doi = {10.1177/1877718X251331863},

issn = {1877-718X},

year  = {2025},

date = {2025-06-01},

journal = {J Parkinsons Dis},

volume = {15},

number = {4},

pages = {694--709},

abstract = {Electroretinography has emerged as a promising tool for identifying retinal functional anomalies in major psychiatric and neurodevelopmental disorders, such as schizophrenia, major depressive disorder, bipolar disorder, and autism spectrum disorder, positioning it as a potential biomarker of monoaminergic dysfunction. However, despite its potential, electroretinography studies in Parkinson's disease (PD) over the past decades have been inconsistent, largely due to variations in research methodologies. These limitations diminish its potential and hinder the association between retinal electrophysiological responses and PD neuropathology. To address this challenge, this review examines the most relevant sources of data variability and reduced reproducibility in electroretinography studies aimed at detecting a retinal functional signature characteristic of PD. We propose the consolidation of four key protocol factors and five cohort criteria to enhance the diagnostic accuracy of electroretinography in PD biomarker research. As electroretinography protocols are adapted from their clinical origins for research purposes, we argue that careful attention must be given to electrode type and placement, as well as to factors like age, sex, disease duration and severity, medication intake, psychiatric conditions, and comorbidities in cohort selection to ensure reproducible results. Suggesting that past inconsistencies in these areas may explain the variability in reported results and contribute to the lack of consensus on which electroretinography parameters comprise a disease signature in PD, we ultimately offer recommendations to improve the utility of electroretinography techniques as early biomarkers for PD.},

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pubstate = {published},

tppubtype = {article}

}

@article{pmid40090470,

title = {Early detection of Parkinson's disease: Retinal functional impairments as potential biomarkers},

author = {Victoria Soto Linan and Véronique Rioux and Modesto Peralta and Nicolas Dupré and Marc Hébert and Martin Lévesque},

doi = {10.1016/j.nbd.2025.106872},

issn = {1095-953X},

year  = {2025},

date = {2025-05-01},

journal = {Neurobiol Dis},

volume = {208},

pages = {106872},

abstract = {BACKGROUND: Parkinson's disease is typically diagnosed after substantial neurodegeneration despite early non-motor symptoms manifesting decades earlier. These changes offer a promising avenue for diagnostic exploration, especially within the eye, which has been proposed as a "window to the brain."nnOBJECTIVE: The aim was to identify biomarkers by validating the use of electroretinography, a non-invasive technique, to detect early retinal function anomalies reflecting central dysfunction.nnMETHODS: Homozygous M83 transgenic mice (n = 10 males, 11 females), overexpressing human A53T α-synuclein, underwent behavioral tests and electroretinography measurements. Histological evaluation was performed at four months to analyze synucleinopathies and neurodegeneration. Electroretinography was also conducted with idiopathic PD patients (mean age 63.35 ± 7.73; disease duration 4.15 ± 2.06; H&Y score 2.07 ± 0.59; n = 12 males, 8 females) and healthy age-matched controls (mean age 61.65 ± 8.39; n = 9 males, 11 females).nnRESULTS: Rodent electroretinography revealed reduced photopic b-wave, PhNR b-wave, and PhNR-wave amplitudes at two and four months, particularly in females, indicating bipolar and retinal ganglion cell impairment. Based on retinal histological assessment, these changes might arise from α-synuclein pathology occurring in outer retinal layers. Likewise, the scotopic b-wave and PhNR waveform were similarly impaired in female participants with Parkinson's disease. The scotopic oscillatory potentials isolated further identified an attenuated amacrine cell output in females.nnCONCLUSIONS: Findings from both mice and human cohorts indicate that retinal functional impairments can be detected early in the progression of Parkinson's disease, particularly among females. These tools show promise in facilitating early diagnosis, disease monitoring, therapeutic intervention, and ultimately enhancing patient outcomes.},

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pubstate = {published},

tppubtype = {article}

}

@article{pmid40023309,

title = {Validating skin electrodes: Paving the way for non-invasive ERG use in psychiatry},

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

doi = {10.1016/j.pnpbp.2025.111305},

issn = {1878-4216},

year  = {2025},

date = {2025-03-01},

journal = {Prog Neuropsychopharmacol Biol Psychiatry},

volume = {137},

pages = {111305},

abstract = {BACKGROUND: Electroretinography (ERG) shows promise for identifying psychiatric biomarkers. The gold-standard approach relies on Dawson-Trick-Litzkow (DTL) electrodes and desktop equipment, but high costs and the expertise required for reliable electrode placement limit its implementation. This study evaluates a cost-effective alternative: a handheld ERG device paired with less invasive self-adhesive skin electrodes, which require minimal training.nnMETHODS: ERG responses to cone and rod luminance stimuli were recorded from 49 participants: 15 controls (8 women, 7 men), 18 with bipolar disorder (12 women, 6 men), and 16 with schizophrenia (4 women, 12 men). Each participant underwent ERG testing with both electrode types.nnRESULTS: Skin electrodes produced significantly smaller amplitudes and shorter latencies than DTL electrodes, except for longer scotopic b-wave latency. Women showed higher amplitudes and shorter latencies than men for both electrode types, with the photopic a-wave amplitude relative difference doubling when using skin electrodes. Reproducibility between eyes was high for both electrode types, though slightly lower for photopic a-wave with skin electrodes (ICC 0.76 vs. 0.86 for DTL).nnCONCLUSION: Skin electrodes paired with handheld ERG devices offer a viable, accessible alternative to traditional DTL electrodes paired with desktop equipment. This approach has the potential to expand the applicability of ERG in clinical settings by addressing barriers like cost, complexity, and invasiveness, while highlighting the need to consider sex differences in ERG assessments, particularly with skin electrodes.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid39721100,

title = {Pupillary response to blue light as a biomarker of seasonal pattern in Major Depressive Episode: A clinical study using pupillometry},

author = {Julia Maruani and Lily Vissouze and Marc Hebert and Heloise Rach and Feriel Zehani and Michel Lejoyeux and Patrice Bourgin and Pierre A Geoffroy},

doi = {10.1016/j.psychres.2024.116333},

issn = {1872-7123},

year  = {2025},

date = {2025-02-01},

journal = {Psychiatry Res},

volume = {344},

pages = {116333},

abstract = {Depressive disorders are characterized by disturbances in light signal processing. More specifically, an alteration of the melanopsin response is suggested. The post-illumination pupillary response (PIPR) to blue light (post-blue PIPR) is increasingly used as a marker of the activity of intrinsically photosensitive melanopsin ganglion cells (ipRGCs). We hypothesized that individuals with Major Depressive Episode (MDE) who exhibited a higher vulnerability to season patterns showed a decreased ability to transmit light signals to the brain. We explored the correlation between the post-blue PIPR and the Global Seasonality Score (GSS) in 21 patients with MDE. The GSS was assessed using the Seasonal Pattern Assessment Questionnaire (SPAQ). The results revealed that decreased relative and absolute post-blue PIPR, suggesting a melanopsinergic hyposensitivity, were associated independently and significantly with higher seasonality in the psychological factor including a greater seasonal variation in sleep duration, mood, energy level and social activity, but were not associated with higher seasonality in the dietary factor (including weight and appetite seasonal variations) or with the severity of anxiety, depression, or sleep disturbances. Interestingly, mediation analyses highlight independent bidirectional effects of high vulnerability to season of psychological factors and decreased ipRGC sensitivity. Post-blue PIPR could be an objective marker of seasonal changes in daylight exposure in patients with MDE. Further research could explore post-blue PIPR as a state or trait biomarker for depressive disorders and the seasonal pattern, and its potential role in predicting therapeutic response to light therapy.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid38993053,

title = {The electroretinography to identify biomarkers of idiopathic hypersomnia and narcolepsy type 1},

author = {Héloïse Rach and Ulker Kilic-Huck and Pierre A Geoffroy and Tristan Bourcier and Sophie Braun and Henri Comtet and Elisabeth Ruppert and Laurence Hugueny and Marc Hebert and Eve Reynaud and Patrice Bourgin},

doi = {10.1111/jsr.14278},

issn = {1365-2869},

year  = {2025},

date = {2025-02-01},

journal = {J Sleep Res},

volume = {34},

number = {1},

pages = {e14278},

abstract = {Hypersomnia spectrum disorders are underdiagnosed and poorly treated due to their heterogeneity and absence of biomarkers. The electroretinography has been proposed as a proxy of central dysfunction and has proved to be valuable to differentiate certain psychiatric disorders. Hypersomnolence is a shared core feature in central hypersomnia and psychiatric disorders. We therefore aimed to identify biomarkers by studying the electroretinography profile in patients with narcolepsy type 1, idiopathic hypersomnia and in controls. Cone, rod and retinal ganglion cells electrical activity were recorded with flash-electroretinography in non-dilated eye of 31 patients with idiopathic hypersomnia (women 84%, 26.6 ± 5.9 years), 19 patients with narcolepsy type 1 (women 63%, 36.6 ± 12.7 years) and 43 controls (women 58%, 30.6 ± 9.3 years). Reduced cone a-wave amplitude (p = 0.039) and prolonged cone (p = 0.022) and rod b-wave (p = 0.009) latencies were observed in patients with narcolepsy type 1 as compared with controls, while prolonged photopic negative response-wave latency (retinal ganglion cells activity) was observed in patients with idiopathic hypersomnia as compared with controls (p = 0.033). The rod and cone b-wave latency clearly distinguished narcolepsy type 1 from idiopathic hypersomnia and controls (area under the curve > 0.70), and the photopic negative response-wave latency distinguished idiopathic hypersomnia and narcolepsy type 1 from controls with an area under the curve > 0.68. This first original study shows electroretinography anomalies observed in patients with hypersomnia. Narcolepsy type 1 is associated with impaired cone and rod responses, whereas idiopathic hypersomnia is associated with impaired retinal ganglion cells response, suggesting different phototransduction alterations in both hypersomnias. Although these results need to be confirmed with a larger sample size, the electroretinography may be a promising tool for clinicians to differentiate hypersomnia subtypes.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid39173717,

title = {Non-invasive electroencephalography in awake cats: Feasibility and application to sensory processing in chronic pain},

author = {Aliénor Delsart and Aude Castel and Guillaume Dumas and Colombe Otis and Mathieu Lachance and Maude Barbeau-Grégoire and Bertrand Lussier and Franck Péron and Marc Hébert and Nicolas Lapointe and Maxim Moreau and Johanne Martel-Pelletier and Jean-Pierre Pelletier and Eric Troncy},

doi = {10.1016/j.jneumeth.2024.110254},

issn = {1872-678X},

year  = {2024},

date = {2024-11-01},

journal = {J Neurosci Methods},

volume = {411},

pages = {110254},

abstract = {BACKGROUND: Feline osteoarthritis (OA) leads to chronic pain and somatosensory sensitisation. In humans, sensory exposure can modulate chronic pain. Recently, electroencephalography (EEG) revealed a specific brain signature to human OA. However, EEG pain characterisation or its modulation does not exist in OA cats, and all EEG were conducted in sedated cats, using intradermal electrodes, which could alter sensory (pain) perception.nnNEW METHOD: Cats (n=11) affected by OA were assessed using ten gold-plated surface electrodes. Sensory stimuli were presented in random orders: response to mechanical temporal summation, grapefruit scent and mono-chromatic wavelengths (500 nm-blue, 525 nm-green and 627 nm-red light). The recorded EEG was processed to identify event-related potentials (ERP) and to perform spectral analysis (z-score).nnRESULTS: The procedure was well-tolerated. The ERPs were reported for both mechanical (F3, C3, Cz, P3, Pz) and olfactory stimuli (Cz, Pz). The main limitation was motion artifacts. Spectral analysis revealed a significant interaction between the power of EEG frequency bands and light wavelengths (p<0.001). All wavelengths considered, alpha band proportion was higher than that of delta and gamma bands (p<0.044), while the latter was lower than the beta band (p<0.016). Compared to green and red, exposure to blue light elicited distinct changes in EEG power over time (p<0.001).nnCOMPARISON WITH EXISTING METHOD: This is the first demonstration of EEG feasibility in conscious cats with surface electrodes recording brain activity while exposing them to sensory stimulations.nnCONCLUSION: The identification of ERPs and spectral patterns opens new avenues for investigating feline chronic pain and its potential modulation through sensory interventions.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid39049970,

title = {Imagery dataset of interior and exterior northern architectural spaces for photobiological lighting analyses},

author = {Philippe Lalande and Marc Hébert and Jean-François Lalonde and Carolina Espinoza-Sanhueza and Claude Mh Demers},

doi = {10.1016/j.dib.2024.110658},

issn = {2352-3409},

year  = {2024},

date = {2024-08-01},

journal = {Data Brief},

volume = {55},

pages = {110658},

abstract = {This paper details an imagery dataset of interior and exterior ambiances to assess and represent photobiological outcomes of the built environment in northern territories. The images were obtained using a Raspberry Pi Camera Module (RPiCM) mounted in a holder that fixes the camera in place. This holder allows to rotate the camera by 30° and take 12 high dynamic range (HDR) images which are then combined to create a panoramic image. The HDR images enable the calculation of photobiological effects concerning photopic light intensity for vision, and the spectral dominance regarding vision and circadian stimulation. This dataset includes 13 captures in 7 interior and 6 exterior settings, each divided into 4 subfolders containing the photographic data: the sequence of low-dynamic range images (LDR), the tone-mapped images obtained from the HDR calculation, the analysis of photopic luminance and false color, and 360° panoramic images (tone-mapped HDR, false color luminance, and spectral dominance). Each space is also supplemented with photometric data presented as a .csv file containing lux and EML units obtained via a radiometer. This dataset is valuable for architects, designers, and neuroscientists to identify opportunities for enhancing human-centric lighting in existing architecture and landscape, as well as to propose solutions that promote vision and circadian stimulation in northern territories. This research was partially used in previous studies from [10]. The dataset is published and shared through a Mendeley repository [9].},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid39149717,

title = {Dataset of images for visual and non-visual analysis of colour applications in architecture},

author = {Carolina Espinoza-Sanhueza and Marc Hébert and Jean-François Lalonde and Claude Mh Demers},

doi = {10.1016/j.dib.2024.110755},

issn = {2352-3409},

year  = {2024},

date = {2024-08-01},

journal = {Data Brief},

volume = {55},

pages = {110755},

abstract = {This paper describes three datasets which include 443 folders and approximately 4430 images. The images were obtained from the interior of a 1:50 scale model using a fisheye camera connected to a Raspberry Pi microcomputer. This dataset aims to analyze the photobiological effects (visual and non-visual) of the interplay between coloured surfaces and different types of lighting strategies. The experiments were conducted under three types of light sources: simulated daylight through a mirror-box artificial sky simulator, direct daylight, and an electric lighting system that allows for colour temperature modification. This dataset includes low dynamic range images to generate high dynamic range images, which in turn can be used to plot false colour maps concerning photopic luminance, melanopic luminance, CCT of an image, M/P ratio, and brightness distribution maps. This dataset can be useful for architects, interior designers, and building engineers to integrate lighting and colour strategies according to the visual and non-visual needs of the users. This research was partially used in the research of Espinoza-Sanhueza et al. [1,2]. The datasets are published and shared through a Mendeley repository [3].},

keywords = {},

pubstate = {published},

tppubtype = {article}

}