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Peer-reviewedCC BY-NCAlzheimer's & dementia (Amsterdam, Netherlands)

Principal component analysis-derived magnetic resonance imaging brain fluid dynamics-related composite in the Alzheimer's spectrum.

  1. 1National Hospital for Geriatric Medicine National Center for Geriatrics and Gerontology Obu Aichi Japan.
  2. 2Department of Clinical and Experimental Neuroimaging Center for Development of Advanced Medicine for Dementia National Center for Geriatrics and Gerontology Obu Aichi Japan.
  3. 3Department of Innovative Biomedical Visualization (iBMV) Nagoya University Graduate School of Medicine Nagoya Aichi Japan.

Abstract

Magnetic resonance imaging (MRI) -derived markers may characterize complementary structural and diffusion-related features potentially relevant to brain fluid dynamics in Alzheimer's disease (AD). We developed an exploratory multivariate construct integrating these features and assessed clinical correlates. Fifty-six participants who were cognitively normal (CN) or had mild cognitive impairment or AD underwent MRI. Principal component analysis (PCA) integrated three complementary MRI measures: intracranial volume-adjusted choroid plexus volume, the diffusion tensor image analysis along the perivascular space (DTI-ALPS) index, and neurite orientation dispersion and density imaging-derived free-water-related isotropic volume fraction (FW/fISO). The first component was designated the PCA-derived MRI brain fluid dynamics-related composite (MRI-BFRC). The first component explained 58.4% of the variance, with higher scores reflecting larger choroid plexus volume, lower DTI-ALPS, and higher FW/fISO. In the primary multivariable model, clinically defined AD relative to CN and higher Fazekas total score were independently associated with higher MRI-BFRC. MRI-BFRC correlated strongly with ventricular volume (r = 0.779); after adjustment for brain and ventricular volumes, the association with Fazekas score remained significant, whereas the AD-CN association was attenuated. MRI-BFRC is an exploratory multimodal construct integrating MRI features selected for their potential relevance to brain fluid dynamics. Its strong coupling with ventricular enlargement indicates sensitivity to global structural variation; persistence of the white matter hyperintensity association after structural adjustment suggests variation not fully explained by global structural measures. MRI-BFRC may have potential as a multimodal imaging marker for evaluating brain fluid dynamics-related alterations, although validation against independent physiological measures is required.

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BibTeX
@article{yasuno2026principal,
  title = {{Principal component analysis-derived magnetic resonance imaging brain fluid dynamics-related composite in the Alzheimer's spectrum.}},
  author = {Fumihiko Yasuno and Toshiaki Taoka and Yasuyuki Kimura and Takashi Nihashi and Naoki Saji and Akinori Takeda and Takashi Sakurai and Takashi Kato},
  journal = {Alzheimer's \& dementia (Amsterdam, Netherlands)},
  year = {2026},
  month = oct,
  doi = {10.1002/dad2.70538},
  url = {https://europepmc.org/article/MED/42996777},
  note = {CC BY-NC},
}
RIS
TY  - JOUR
TI  - Principal component analysis-derived magnetic resonance imaging brain fluid dynamics-related composite in the Alzheimer's spectrum.
AU  - Fumihiko Yasuno
AU  - Toshiaki Taoka
AU  - Yasuyuki Kimura
AU  - Takashi Nihashi
AU  - Naoki Saji
AU  - Akinori Takeda
AU  - Takashi Sakurai
AU  - Takashi Kato
PY  - 2026
DA  - 2026/10/01
JO  - Alzheimer's & dementia (Amsterdam, Netherlands)
DO  - 10.1002/dad2.70538
UR  - https://europepmc.org/article/MED/42996777
AB  - Magnetic resonance imaging (MRI) -derived markers may characterize complementary structural and diffusion-related features potentially relevant to brain fluid dynamics in Alzheimer's disease (AD). We developed an exploratory multivariate construct integrating these features and assessed clinical correlates. Fifty-six participants who were cognitively normal (CN) or had mild cognitive impairment or AD underwent MRI. Principal component analysis (PCA) integrated three complementary MRI measures: intracranial volume-adjusted choroid plexus volume, the diffusion tensor image analysis along the perivascular space (DTI-ALPS) index, and neurite orientation dispersion and density imaging-derived free-water-related isotropic volume fraction (FW/fISO). The first component was designated the PCA-derived MRI brain fluid dynamics-related composite (MRI-BFRC). The first component explained 58.4% of the variance, with higher scores reflecting larger choroid plexus volume, lower DTI-ALPS, and higher FW/fISO. In the primary multivariable model, clinically defined AD relative to CN and higher Fazekas total score were independently associated with higher MRI-BFRC. MRI-BFRC correlated strongly with ventricular volume (r = 0.779); after adjustment for brain and ventricular volumes, the association with Fazekas score remained significant, whereas the AD-CN association was attenuated. MRI-BFRC is an exploratory multimodal construct integrating MRI features selected for their potential relevance to brain fluid dynamics. Its strong coupling with ventricular enlargement indicates sensitivity to global structural variation; persistence of the white matter hyperintensity association after structural adjustment suggests variation not fully explained by global structural measures. MRI-BFRC may have potential as a multimodal imaging marker for evaluating brain fluid dynamics-related alterations, although validation against independent physiological measures is required.
SN  - 2352-8729
ER  -