Research teams and research areas

The Institut de la Vision brings together nearly 300 researchers in 18 research units specialized in ophthalmological pathologies. At the forefront of scientific innovation, these units conduct translational research aimed at developing cutting-edge technological solutions and therapeutic innovations for the prevention, diagnosis and treatment of these pathologies. Organized around five strategic research axes, the teams of the Institut de la Vision cover a wide range of topics, from the molecular physiology of vision to innovative therapeutic approaches.

Aging in vision and action

Our team analyzes the aging process which gradually alters neurophysiological, perceptual, and cognitive aspects of vision within a synergistic context that has the potential to catalyze progress in both fundamental research and innovative technology transfer.

Denis Sheynikhovich
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Presentation

The natural deterioration of vision slowly but steadily induces loss of autonomy in the everyday life of the elderly. Age-related losses in visual acuity and depth, color, and contrast perception inevitably impact gait, balance, locomotion, spatial orientation, and goal-directed navigation. Since the world population is aging, the increased frequency of vision problems is a serious public health concern. Globally, there are 470 million people over 65 years old, which could reach 820 million by 2025 and close to 2 billion by 2050.

The specific functional and neurobiological factors responsible for sensitivity loss in various visual functions (e.g., contrast sensitivity, motion perception, visual attention, etc.) remain poorly characterized. We have adopted a cross-disciplinary approach to cross-link multilevel patterns of age-related functional consequences from behavior to the level of neuronal processing.

Our research activity relies on a number of state-of-the-art technological platforms, including the Streetlab, which allows us to carry out ecological-like behavioral experiments with people in situations of sensory deficit in a fully monitored controlled environment. We also develop a series of experimental platforms specific to our research areas, which will contribute to a unique know-how in the field of neurosensory aging. Innovative concepts will be made available to eye care providers for their professional development.

Research areas

  • Epidemiological analysis of age-related loss of visual functions, their contributing factors, and their impact.
  • Developing novel imaging and diagnostic systems and visual aids for the visually impaired.

Team members

Denis Sheynikhovich
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Satoru Otani
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William Seiple
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Romain Brasselet
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Youri Marquise
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Sonia Combariza
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Maram Alkhachroum
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Angela De Stasi
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Youssouf Cherifi
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Jean-Baptiste De Saint-Aubert
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Jothini John
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Jimmy Murari
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Pierre-Olivier Morin
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Yannis Chenguiti
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Alberto Ferrara
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Yelizaveta Burdz
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Scientific publications

Below you will find the latest scientific publications in this field: Aging in vision and action.

Age-related disparities in oscillatory dynamics within scene-selective regions during spatial navigation

Marion Durteste; Alexandre Delaux; Ainhoa Ariztégui; Benoit R. Cottereau; Denis Sheynikhovich; Stephen Ramanoël; Angelo Arleo
2023-10-17 | Preprint DOI: 10.1101/2023.10.16.562507

Landmark-based spatial navigation across the human lifespan

Marcia Bécu; Denis Sheynikhovich; Stephen Ramanoël; Guillaume Tatur; Anthony Ozier-Lafontaine; Colas N Authié; José-Alain Sahel; Angelo Arleo
eLife - 2023-03-13 | Journal article - DOI: 10.7554/eLife.81318

Long-term memory, synaptic plasticity and dopamine in rodent medial prefrontal cortex: Role in executive functions

Denis Sheynikhovich; Satoru Otani; Jing Bai; Angelo Arleo
Frontiers in Behavioral Neuroscience - 2023-01-11 | Journal article - DOI: 10.3389/fnbeh.2022.1068271 - Part of ISSN: 1662-5153

Agreement in Spiking Neural Networks

Journal of Computational Biology - 2022-04-01 | Journal article - DOI: 10.1089/cmb.2021.0365 - Part of ISSN: 1557-8666

Computational epidemiology study of homeostatic compensation during sensorimotor aging

Niceto R. Luque; Francisco Naveros; Denis Sheynikhovich; Eduardo Ros; Angelo Arleo
Neural Networks  - 2022-02 | Journal article - DOI: 10.1016/j.neunet.2021.11.024

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