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Characterizing the MRI signature of hippocampal sclerosis of aging

Rådman, Gustaf LU orcid ; Denning, Amanda E. ; Ravikumar, Sadhana ; Spotorno, Nicola LU ; Ittyerah, Ranjit ; Levorse, Lisa M. ; Robinson, John L. ; Schuck, Theresa ; Lim, Sydney A. and Chung, Eunice , et al. (2026) In Alzheimer's Research and Therapy 18(1).
Abstract

Background: Hippocampal sclerosis of aging (HS-A), a common cause of dementia, can currently only be diagnosed at autopsy. We aimed to identify and evaluate MRI metrics to distinguish HS-A from Alzheimer’s Disease neuropathologic change (ADNC) and cases with limited/no pathology. Methods: HS-A (N = 5), ADNC (N = 10), and limited/no pathology (N = 12) cases were compared on postmortem MRI signatures: manually measured cornu ammonis (CA)1/subiculum thickness, grey matter signal intensity, and automated hippocampal subfield thickness metrics. Similar metrics were obtained in T1-weighted antemortem MRI in an initial dataset (HS-A = 4, ADNC = 7, limited/no pathology = 25) for group differences and discrimination (HS-A vs ADNC).... (More)

Background: Hippocampal sclerosis of aging (HS-A), a common cause of dementia, can currently only be diagnosed at autopsy. We aimed to identify and evaluate MRI metrics to distinguish HS-A from Alzheimer’s Disease neuropathologic change (ADNC) and cases with limited/no pathology. Methods: HS-A (N = 5), ADNC (N = 10), and limited/no pathology (N = 12) cases were compared on postmortem MRI signatures: manually measured cornu ammonis (CA)1/subiculum thickness, grey matter signal intensity, and automated hippocampal subfield thickness metrics. Similar metrics were obtained in T1-weighted antemortem MRI in an initial dataset (HS-A = 4, ADNC = 7, limited/no pathology = 25) for group differences and discrimination (HS-A vs ADNC). T1-weighted metrics were then evaluated in a second dataset (HS-A = 6, ADNC = 18) and in a pooled post-hoc analysis combining HS-A and ADNC cases from both datasets (NHS-A = 10, NADNC = 25). Results: Postmortem MRI showed hippocampal thinning and grey matter hypointensity in HS-A at the CA1-subiculum junction more severe than in ADNC and limited/no pathology cases. In antemortem MRI, differentiating HS-A and ADNC based on anterior/posterior manual measures of CA1/subiculum thickness and hippocampal volumes displayed good discrimination in dataset 1, but lower discriminative performance in dataset 2. In complementary analyses pooling both datasets and adjusting for age, manual thickness achieved good performance (area under the curve (AUC) = 0.80–0.87), while anterior, posterior, and whole hippocampal volumes showed excellent discrimination (AUC = 0.94–0.98). Limitations: The study included a relatively small and neuropathologically heterogeneous sample. The final antemortem analyses were exploratory, reflecting challenges in replicating findings across independent datasets. Classification was limited to HS-A and ADNC, leaving it uncertain how the metrics perform when comparing HS-A with other diagnostic groups. HS-A diagnoses were determined postmortem, often several years after MRI, and most measures relied on standard imaging sequences with limited resolution to assess fine-grained hippocampal subfields. Conclusions: HS-A displays distinct changes in the hippocampus that are detectable through structural MRI. Associated quantifiable MRI metrics may serve as promising tools in aiding antemortem HS-A diagnosis but require further validation in larger cohorts and against other dementia-related diseases.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Alzheimer’s Disease neuropathologic change, Dementia, Hippocampal sclerosis of aging, Magnetic resonance imaging, Neurodegenerative disease
in
Alzheimer's Research and Therapy
volume
18
issue
1
article number
153
publisher
BioMed Central (BMC)
external identifiers
  • pmid:42332831
  • scopus:105042626032
ISSN
1758-9193
DOI
10.1186/s13195-026-02118-0
language
English
LU publication?
yes
id
e5f25aaf-66b6-4d49-9f78-1f0ea1592a9f
date added to LUP
2026-08-21 15:14:50
date last changed
2026-09-04 16:14:37
@article{e5f25aaf-66b6-4d49-9f78-1f0ea1592a9f,
  abstract     = {{<p>Background: Hippocampal sclerosis of aging (HS-A), a common cause of dementia, can currently only be diagnosed at autopsy. We aimed to identify and evaluate MRI metrics to distinguish HS-A from Alzheimer’s Disease neuropathologic change (ADNC) and cases with limited/no pathology. Methods: HS-A (N = 5), ADNC (N = 10), and limited/no pathology (N = 12) cases were compared on postmortem MRI signatures: manually measured cornu ammonis (CA)1/subiculum thickness, grey matter signal intensity, and automated hippocampal subfield thickness metrics. Similar metrics were obtained in T<sub>1</sub>-weighted antemortem MRI in an initial dataset (HS-A = 4, ADNC = 7, limited/no pathology = 25) for group differences and discrimination (HS-A vs ADNC). T<sub>1</sub>-weighted metrics were then evaluated in a second dataset (HS-A = 6, ADNC = 18) and in a pooled post-hoc analysis combining HS-A and ADNC cases from both datasets (N<sub>HS-A</sub> = 10, N<sub>ADNC</sub> = 25). Results: Postmortem MRI showed hippocampal thinning and grey matter hypointensity in HS-A at the CA1-subiculum junction more severe than in ADNC and limited/no pathology cases. In antemortem MRI, differentiating HS-A and ADNC based on anterior/posterior manual measures of CA1/subiculum thickness and hippocampal volumes displayed good discrimination in dataset 1, but lower discriminative performance in dataset 2. In complementary analyses pooling both datasets and adjusting for age, manual thickness achieved good performance (area under the curve (AUC) = 0.80–0.87), while anterior, posterior, and whole hippocampal volumes showed excellent discrimination (AUC = 0.94–0.98). Limitations: The study included a relatively small and neuropathologically heterogeneous sample. The final antemortem analyses were exploratory, reflecting challenges in replicating findings across independent datasets. Classification was limited to HS-A and ADNC, leaving it uncertain how the metrics perform when comparing HS-A with other diagnostic groups. HS-A diagnoses were determined postmortem, often several years after MRI, and most measures relied on standard imaging sequences with limited resolution to assess fine-grained hippocampal subfields. Conclusions: HS-A displays distinct changes in the hippocampus that are detectable through structural MRI. Associated quantifiable MRI metrics may serve as promising tools in aiding antemortem HS-A diagnosis but require further validation in larger cohorts and against other dementia-related diseases.</p>}},
  author       = {{Rådman, Gustaf and Denning, Amanda E. and Ravikumar, Sadhana and Spotorno, Nicola and Ittyerah, Ranjit and Levorse, Lisa M. and Robinson, John L. and Schuck, Theresa and Lim, Sydney A. and Chung, Eunice and Bedard, Madigan and Trotman, Winifred and Bahena, Alejandra and del Mar Arroyo-Jiménez, María and Vela, Alicia and Buendia, Esther and de Onzoño Martin, Maria Mercedes Iñiguez and Rabal, María Pilar Marcos and Muñoz-López, Mónica and Olsen, Rosanna K. and Detre, John A. and Lee, Edward B. and Wolk, David A. and Ohm, Daniel T.}},
  issn         = {{1758-9193}},
  keywords     = {{Alzheimer’s Disease neuropathologic change; Dementia; Hippocampal sclerosis of aging; Magnetic resonance imaging; Neurodegenerative disease}},
  language     = {{eng}},
  number       = {{1}},
  publisher    = {{BioMed Central (BMC)}},
  series       = {{Alzheimer's Research and Therapy}},
  title        = {{Characterizing the MRI signature of hippocampal sclerosis of aging}},
  url          = {{http://dx.doi.org/10.1186/s13195-026-02118-0}},
  doi          = {{10.1186/s13195-026-02118-0}},
  volume       = {{18}},
  year         = {{2026}},
}