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@ARTICLE{Trger:285036,
      author       = {Tröger, Johannes and Rouvalis, Andreas and Dörr, Felix
                      and Schwed, Louisa and Linz, Nicklas and König, Alexandra
                      and Machts, Judith and Vielhaber, Stefan and Thies, Tabea
                      and Prudlo, Johannes and Hermann, Andreas and Kasper,
                      Elisabeth},
      title        = {{A}utomatically measured speech intelligibility models
                      bulbar-specific disease severity and progression in
                      {A}myotrophic {L}ateral {S}clerosis.},
      journal      = {Amyotrophic lateral sclerosis $\&$ frontotemporal
                      degeneration},
      volume       = {27},
      number       = {1-2},
      issn         = {2167-8421},
      address      = {Abingdon},
      publisher    = {Taylor Francis Group},
      reportid     = {DZNE-2026-00161},
      pages        = {101 - 109},
      year         = {2026},
      abstract     = {Amyotrophic lateral sclerosis (ALS) is a progressive
                      neurodegenerative disease that leads to widespread motor
                      deterioration, including significant motor speech
                      impairments. Speech intelligibility is a crucial component
                      of communication affected in ALS, requiring objective,
                      scalable assessment methods as an indicator of disease
                      progression and treatment efficacy. Objective: This study
                      investigates whether speech and bulbar function in ALS could
                      be evaluated and monitored utilizing an automated digital
                      measure of speech intelligibility derived from naturalistic
                      picture descriptions. Methods: Speech recordings from 44
                      patients living with ALS (plwALS) and 49 matched healthy
                      controls (HC) were analyzed and processed utilizing an
                      automated speech analysis pipeline to extract an
                      intelligibility score. These were part of a cross-sectional
                      and longitudinal study involving two assessments. Results:
                      The findings confirmed that speech intelligibility is
                      significantly reduced in plwALS compared to HC. Those with
                      bulbar-onset ALS have lower intelligibility than those with
                      spinal-onset ALS, and the intelligibility of individuals
                      with bulbar symptoms-regardless of the onset type-is lower
                      than in plwALS without bulbar symptoms. Declining
                      ALS-related speech scores correspond with worsening
                      intelligibility in longitudinal assessments. Intelligibility
                      correlates strongly with bulbar-specific clinical measures
                      but not with global scores, highlighting its role in
                      tracking bulbar progression. In some plwALS, we were able to
                      demonstrate that automated speech analyses are more
                      effective in detecting worsening in intelligibility earlier
                      than standard clinical scoring. Conclusion: Our findings
                      highlight that automated speech intelligibility assessments
                      can be a valuable marker to improve clinical monitoring and
                      facilitate earlier intervention in ALS as a supplement to
                      standard assessments.},
      keywords     = {Humans / Amyotrophic Lateral Sclerosis: complications /
                      Amyotrophic Lateral Sclerosis: physiopathology / Amyotrophic
                      Lateral Sclerosis: diagnosis / Male / Female / Disease
                      Progression / Middle Aged / Speech Intelligibility:
                      physiology / Aged / Cross-Sectional Studies / Longitudinal
                      Studies / Severity of Illness Index / Adult / Speech
                      Disorders: etiology / Speech Disorders: diagnosis /
                      Speech-based biomarkers (Other) / automated speech analysis
                      (Other) / disease stratification (Other) / intelligibility
                      (Other) / patient monitoring (Other)},
      cin          = {AG Teipel / AG Düzel / AG Hermann},
      ddc          = {610},
      cid          = {I:(DE-2719)1510100 / I:(DE-2719)5000006 /
                      I:(DE-2719)1511100},
      pnm          = {353 - Clinical and Health Care Research (POF4-353)},
      pid          = {G:(DE-HGF)POF4-353},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:40851280},
      doi          = {10.1080/21678421.2025.2549317},
      url          = {https://pub.dzne.de/record/285036},
}