Soutenance de thèse Clément Guichet - 01 décembre 2025

Value of the Information & Strength of the Argument

The value of the information is high, as it provides novel empirical evidence for a reconceptualization of cognitive aging. The argumentation is solid, building on established models (e.g., HAROLD, CRUNCH) and extending them with a connectomic and cognitomic perspective. The use of multiple neuroimaging modalities and sophisticated statistical methods (e.g., latent variables, graph theory) strengthens the claims. The presentation is well-structured, with clear hypotheses and a logical progression from theory to empirical studies.

Scientific Rigor, Source Quality, Title Accuracy

The scientific rigor is high, with a transparent methodology and use of a well-known dataset (CamCAN). The sources cited include the LanguagePlus atlas and relevant literature on aging and language. The title accurately reflects the content, and the presentation adheres to academic standards. The thesis defense format ensures scrutiny by a jury, adding to its credibility.

The title accurately reflects the content: a thesis defense presentation on multimodal modeling of language during healthy neurocognitive aging.

9/10

The presentation is a doctoral thesis defense, based on peer-reviewed research, using robust neuroimaging methods and large datasets (CamCAN). The methodology is transparent, and the results are presented with appropriate caution.

Markers derived by PSI from the transcript: the creator did not define chapters.

• 02:00Introduction to the demographic transition and the importance of healthy aging.
• 05:00Presentation of the three approaches: person-centered, connectomic, and cognitomic.
• 10:00Explanation of the language network and the role of the default mode network (DMN) in semantic control.
• 15:00Description of the CamCAN dataset and the general methodology.
• 20:00Study 1: Functional connectivity analysis showing a simplification of the language connectome with age.
• 25:00Study 2: Structural connectivity analysis focusing on midlife, showing alterations in white matter integrity.
• 30:00Study 3: Integration of multimodal data and exploration of homeostatic mechanisms.
• 35:00Discussion of the results and the reconceptualization of aging as an optimized reorganization.
• 40:00Conclusion and perspectives for precision gerontology.

• CamCAN dataset — Used as the main dataset for the studies.
• LanguagePlus atlas — Developed in the team, used for defining language regions.

• CamCAN dataset — Provides the data used in the studies.