% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Gschel:258231,
      author       = {Göschel, Laura and Kurz, Lea and Dell Orco, Andrea and
                      Köbe, Theresa and Körtvélyessy, Peter and Fillmer, Ariane
                      and Aydin, Semiha and Riemann, Layla Tabea and Wang, Hui and
                      Ittermann, Bernd and Grittner, Ulrike and Flöel, Agnes},
      title        = {7{T} amygdala and hippocampus subfields in volumetry-based
                      associations with memory: {A} 3-year follow-up study of
                      early {A}lzheimer's disease.},
      journal      = {NeuroImage: Clinical},
      volume       = {38},
      issn         = {2213-1582},
      address      = {[Amsterdam u.a.]},
      publisher    = {Elsevier},
      reportid     = {DZNE-2023-00577},
      pages        = {103439},
      year         = {2023},
      abstract     = {The hippocampus is the most prominent single region of
                      interest (ROI) for the diagnosis and prediction of
                      Alzheimer's disease (AD). However, its suitability in the
                      earliest stages of cognitive decline, i.e., subjective
                      cognitive decline (SCD), remains uncertain which warrants
                      the pursuit of alternative or complementary regions. The
                      amygdala might be a promising candidate, given its
                      implication in memory as well as other psychiatric
                      disorders, e.g. depression and anxiety, which are prevalent
                      in SCD. In this 7 tesla (T) magnetic resonance imaging (MRI)
                      study, we aimed to compare the contribution of volumetric
                      measurements of the hippocampus, the amygdala, and their
                      respective subfields, for early diagnosis and prediction in
                      an AD-related study population.Participants from a
                      longitudinal study were grouped into SCD (n = 29), mild
                      cognitive impairment (MCI, n = 23), AD (n = 22) and healthy
                      control (HC, n = 31). All participants underwent 7T MRI at
                      baseline and extensive neuropsychological testing at up to
                      three visits (baseline n = 105, 1-year n = 78, 3-year n =
                      39). Analysis of covariance (ANCOVA) was used to assess
                      group differences of baseline volumes of the amygdala and
                      the hippocampus and their subfields. Linear mixed models
                      were used to estimate the effects of baseline volumes on
                      yearly changes of a z-scaled memory score. All models were
                      adjusted to age, sex and education.Compared to the HC group,
                      individuals with SCD showed smaller amygdala ROI volumes
                      (range across subfields $-11\%$ to $-1\%),$ but not
                      hippocampus ROI volumes $(-2\%$ to $1\%)$ except for the
                      hippocampus-amygdala-transition-area $(-7\%).$ However,
                      cross-sectional associations between baseline memory and
                      volumes were smaller for amygdala ROIs (std. ß $[95\%$ CI]
                      ranging between 0.16 [0.08; 0.25] and 0.46 [0.31; 0.60])
                      than hippocampus ROIs (between 0.32 [0.19; 0.44] and 0.53
                      [0.40; 0.67]). Further, the association of baseline volumes
                      with yearly memory change in the HC and SCD groups was
                      similarly weak for amygdala ROIs and hippocampus ROIs. In
                      the MCI group, volumes of amygdala ROIs were associated with
                      a relevant yearly memory decline $[95\%$ CI] ranging between
                      -0.12 [-0.24; 0.00] and -0.26 [-0.42; -0.09] for individuals
                      with $20\%$ smaller volumes than the HC group. However,
                      effects were stronger for hippocampus ROIs with a
                      corresponding yearly memory decline ranging between -0.21
                      [-0.35; -0.07] and -0.31 [-0.50; -0.13].Volumes of amygdala
                      ROIs, as determined by 7T MRI, might contribute to
                      objectively and non-invasively identify patients with SCD,
                      and thus aid early diagnosis and treatment of individuals at
                      risk to develop dementia due to AD, however associations
                      with other psychiatric disorders should be evaluated in
                      further studies. The amygdala's value in the prediction of
                      longitudinal memory changes in the SCD group remains
                      questionable. Primarily in patients with MCI, memory decline
                      over 3 years appears to be more strongly associated with
                      volumes of hippocampus ROIs than amygdala ROIs.},
      keywords     = {Humans / Follow-Up Studies / Alzheimer Disease: pathology /
                      Longitudinal Studies / Cross-Sectional Studies / Cognitive
                      Dysfunction: pathology / Magnetic Resonance Imaging /
                      Amygdala: diagnostic imaging / Amygdala: pathology /
                      Neuropsychological Tests / Memory Disorders: diagnostic
                      imaging / Memory Disorders: etiology / Alzheimer’s disease
                      (Other) / 7T MRI (Other) / Alzheimer’s disease (Other) /
                      Amygdala (Other) / Hippocampus (Other) / Memory (Other) /
                      SCD (Other)},
      cin          = {AG Flöel / AG Düzel 3},
      ddc          = {610},
      cid          = {I:(DE-2719)5000081 / I:(DE-2719)5000006},
      pnm          = {353 - Clinical and Health Care Research (POF4-353)},
      pid          = {G:(DE-HGF)POF4-353},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:37253284},
      pmc          = {pmc:PMC10236463},
      doi          = {10.1016/j.nicl.2023.103439},
      url          = {https://pub.dzne.de/record/258231},
}