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@ARTICLE{Li:280957,
      author       = {Li, Qingyue and Koehler, Stefanie and Koenig, Alexandra and
                      Dyrba, Martin and Mallik, Elisa and Linz, Nicklas and
                      Priller, Josef and Spruth, Eike Jakob and Altenstein, Slawek
                      and Wiltfang, Jens and Zerr, Inga and Bartels, Claudia and
                      Maier, Franziska and Rostamzadeh, Ayda and Duezel, Emrah and
                      Glanz, Wenzel and Incesoy, Enise I and Butryn, Michaela and
                      Laske, Christoph and Sodenkamp, Sebastian and Munk, Matthias
                      Hj and Falkenburger, Bjoern and Osterrath, Antje and
                      Kilimann, Ingo and Stark, Melina and Kleineidam, Luca and
                      Heneka, Michael T and Spottke, Annika and Wagner, Michael
                      and Jessen, Frank and Petzold, Gabor C and Levin, Fedor and
                      Teipel, Stefan},
      title        = {{A}ssociations between digital speech features of automated
                      cognitive tasks and trajectories of brain atrophy and
                      cognitive decline in early {A}lzheimer's disease.},
      journal      = {Journal of Alzheimer's disease},
      volume       = {107},
      number       = {1},
      issn         = {1387-2877},
      address      = {Amsterdam},
      publisher    = {IOS Press},
      reportid     = {DZNE-2025-01039},
      pages        = {154 - 169},
      year         = {2025},
      abstract     = {BackgroundSpeech-based features extracted from
                      telephone-based cognitive tasks show promise for detecting
                      cognitive decline in prodromal and manifest dementia. Little
                      is known about the cerebral underpinnings of these speech
                      features.ObjectiveTo examine associations between speech
                      features, brain atrophy, and longitudinal cognitive decline
                      in individuals at risk for Alzheimer's disease
                      (AD).MethodsHealthy volunteers, individuals with subjective
                      cognitive decline, and those with mild cognitive impairment
                      completed phonebot-guided semantic verbal fluency (SVF) and
                      15-word verbal learning task (VLT). Speech features were
                      automatically extracted, and a global cognitive score (SB-C
                      score) was computed. We analyzed data from 161 participants
                      for cognitive trajectories, 141 for cross-sectional brain
                      atrophy, and 102 for longitudinal brain changes. Analyses
                      were conducted using multiple linear regressions,
                      mixed-effects models, and voxel-based morphometry.ResultsThe
                      SB-C score was associated with bilateral hippocampal
                      volumes, SVF features were primarily associated with left
                      hemisphere regions, including the inferior frontal,
                      parahippocampal, and superior/middle temporal gyri (puncorr
                      < 0.001). SB-C score, SVF correct counts, and VLT delayed
                      recall were associated with atrophy rates in the
                      hippocampal/parahippocampal gyrus and left middle/inferior
                      temporal gyri (pFDR < 0.05). These features were also
                      associated with cognitive decline assessed via Preclinical
                      Alzheimer's Cognitive Composite 5, SVF, and Wordlist
                      learning delayed recall (pFDR < 0.01). Word frequency and
                      temporal cluster switches showed varying associations with
                      cognitive trajectories. Other features did not show robust
                      associations.ConclusionsIn this study, we highlight the
                      potential of digital speech features for identifying brain
                      atrophy and cognitive decline over time in at-risk AD
                      populations.},
      keywords     = {Humans / Alzheimer Disease: psychology / Alzheimer Disease:
                      pathology / Alzheimer Disease: diagnostic imaging / Male /
                      Atrophy: pathology / Female / Cognitive Dysfunction:
                      psychology / Cognitive Dysfunction: pathology / Cognitive
                      Dysfunction: diagnostic imaging / Aged / Brain: pathology /
                      Brain: diagnostic imaging / Neuropsychological Tests /
                      Speech: physiology / Magnetic Resonance Imaging /
                      Cross-Sectional Studies / Aged, 80 and over / Longitudinal
                      Studies / Cognition: physiology / Middle Aged / Disease
                      Progression / Alzheimer's disease (Other) / atrophy (Other)
                      / cognition (Other) / cognitive decline (Other) / early
                      diagnosis (Other) / natural language processing (Other) /
                      speech (Other)},
      cin          = {AG Teipel / AG Priller / AG Endres / AG Wiltfang / AG Zerr
                      / AG Düzel / AG Gasser / ICRU / AG Falkenburger / AG Wagner
                      / AG Spottke / AG Jessen / AG Petzold},
      ddc          = {610},
      cid          = {I:(DE-2719)1510100 / I:(DE-2719)5000007 /
                      I:(DE-2719)1811005 / I:(DE-2719)1410006 /
                      I:(DE-2719)1440011-1 / I:(DE-2719)5000006 /
                      I:(DE-2719)1210000 / I:(DE-2719)1240005 / I:(DE-2719)1710012
                      / I:(DE-2719)1011201 / I:(DE-2719)1011103 /
                      I:(DE-2719)1011102 / I:(DE-2719)1013020},
      pnm          = {353 - Clinical and Health Care Research (POF4-353)},
      pid          = {G:(DE-HGF)POF4-353},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:40685619},
      pmc          = {pmc:PMC12361688},
      doi          = {10.1177/13872877251359967},
      url          = {https://pub.dzne.de/record/280957},
}