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        <title>Thesis proposal: COGNILENS: Analyzing Cognitive Decline in Language Models for Alzheimer’s Monitoring</title>
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    <name type="personal">
        <namePart type="given">Jonathan</namePart>
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            <title>Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 4: Student Research Workshop)</title>
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        <name type="personal">
            <namePart type="given">Selene</namePart>
            <namePart type="family">Baez Santamaria</namePart>
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        <name type="personal">
            <namePart type="given">Sai</namePart>
            <namePart type="given">Ashish</namePart>
            <namePart type="family">Somayajula</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Atsuki</namePart>
            <namePart type="family">Yamaguchi</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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    <abstract>This research proposal describes a cross-disciplinary project aimed at developing Digital Twins (DTs) of Alzheimer’s Disease (AD) using Language Models (LMs). By mimicking the functional deficits observed in individuals with AD, these DTs will serve as tools for early detection and understanding of disease progression. Several approaches to altering the LM will be explored, and the resulting effects on brain score — an evaluation of the correlation between brain activity and the LM’s internal activations — will be studied. Detection models will be trained based on each approach; these models will be compared against themselves and the state-of-the-art.Two converging lines of evidence motivate this work: LMs achieve high accuracy in classifying AD from speech transcripts, and their internal representations correlate significantly with human brain activity during language processing. If successful, this project could lead to significant advancements in the early detection and monitoring of AD, ultimately improving patient outcomes.</abstract>
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%0 Conference Proceedings
%T Thesis proposal: COGNILENS: Analyzing Cognitive Decline in Language Models for Alzheimer’s Monitoring
%A Guerne, Jonathan
%Y Baez Santamaria, Selene
%Y Somayajula, Sai Ashish
%Y Yamaguchi, Atsuki
%S Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
%D 2026
%8 March
%I Association for Computational Linguistics
%C Rabat, Morocco
%@ 979-8-89176-383-8
%F guerne-2026-thesis
%X This research proposal describes a cross-disciplinary project aimed at developing Digital Twins (DTs) of Alzheimer’s Disease (AD) using Language Models (LMs). By mimicking the functional deficits observed in individuals with AD, these DTs will serve as tools for early detection and understanding of disease progression. Several approaches to altering the LM will be explored, and the resulting effects on brain score — an evaluation of the correlation between brain activity and the LM’s internal activations — will be studied. Detection models will be trained based on each approach; these models will be compared against themselves and the state-of-the-art.Two converging lines of evidence motivate this work: LMs achieve high accuracy in classifying AD from speech transcripts, and their internal representations correlate significantly with human brain activity during language processing. If successful, this project could lead to significant advancements in the early detection and monitoring of AD, ultimately improving patient outcomes.
%U https://aclanthology.org/2026.eacl-srw.12/
%P 170-181

Markdown (Informal)

[Thesis proposal: COGNILENS: Analyzing Cognitive Decline in Language Models for Alzheimer’s Monitoring](https://aclanthology.org/2026.eacl-srw.12/) (Guerne, EACL 2026)

• Thesis proposal: COGNILENS: Analyzing Cognitive Decline in Language Models for Alzheimer’s Monitoring (Guerne, EACL 2026)

ACL

• Jonathan Guerne. 2026. Thesis proposal: COGNILENS: Analyzing Cognitive Decline in Language Models for Alzheimer’s Monitoring. In Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 4: Student Research Workshop), pages 170–181, Rabat, Morocco. Association for Computational Linguistics.