Evidence map›Paper›PMID 42130761›Full record

ArticleFrontiers in aging neuroscience2026

Evaluation of conductivity tensor image along the perivascular space in the brains of patients with cognitive impairments.

Jehyeuk Ahn, Sang-Young Kim, Mun Bae Lee, Oh-In Kwon, Hak Young Rhee, Yu Jin Jung, Yoon Kim, Soonchan Park, Chang-Woo Ryu, Jinseok Lee and 1 more

Abstract read
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Article in Frontiers in aging neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Jehyeuk AhnDepartment of Biomedical Engineering, College of Electronics and Information, Kyung Hee University, Yongin-si, Gyeonggi-do, Republic of Korea.
Sang-Young KimMR Clinical Science, Health Systems, Philips Healthcare, Seoul, Republic of Korea.
Mun Bae LeeDepartment of Mathematics, College of Basic Science, Konkuk University, Seoul, Republic of Korea.
Oh-In KwonDepartment of Mathematics, College of Basic Science, Konkuk University, Seoul, Republic of Korea.
Hak Young RheeDepartment of Neurology, Kyung Hee University Hospital at Gangdong, Kyung Hee University College of Medicine, Seoul, Republic of Korea.
Yu Jin JungDepartment of Neurology, Kyung Hee University Hospital at Gangdong, Kyung Hee University College of Medicine, Seoul, Republic of Korea.
Yoon KimDepartment of Neurology, Kyung Hee University Hospital at Gangdong, Kyung Hee University College of Medicine, Seoul, Republic of Korea.
Soonchan ParkDepartment of Radiology, Kyung Hee University Hospital at Gangdong, Kyung Hee University College of Medicine, Seoul, Republic of Korea.
Chang-Woo RyuDepartment of Radiology, Kyung Hee University Hospital at Gangdong, Kyung Hee University College of Medicine, Seoul, Republic of Korea.
Jinseok LeeDepartment of Biomedical Engineering, College of Electronics and Information, Kyung Hee University, Yongin-si, Gyeonggi-do, Republic of Korea.
Geon-Ho JahngDepartment of Radiology, Kyung Hee University Hospital at Gangdong, Kyung Hee University College of Medicine, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index has been proposed as an imaging marker of impaired perivascular water transport across the Alzheimer's disease (AD) continuum. Whether a conductivity-based ALPS derived from conductivity tensor imaging (CTI) provides a distinct physiological perspective remains to be explored. This work introduces the CTI-ALPS index. The purpose of this study was (1) to introduce the CTI-ALPS index and (2) to evaluate both the CTI-ALPS and DTI-ALPS indices in cognitively normal (CN) older adults, amnestic mild cognitive impairment (aMCI), and mild-to-moderate AD. Methods: In this prospective cross-sectional study, 110 participants (CN, Results: CTI-ALPS showed lower in AD but did not differ significantly across groups and demonstrated weaker associations with Mini-Mental State Examination (MMSE) scores. In age-adjusted ROC analyses for differentiating AD from CN, CTI-ALPS achieved modest discrimination, whereas DTI-ALPS provided slightly higher diagnostic performance. Conclusion: CTI-ALPS demonstrated a non-significant trend towards a reduction in AD and modest diagnostic utility, with weaker clinical associations than DTI-ALPS in this cohort. As an initial exploratory study, conductivity-based ALPS may serve as a distinct physical contrast reflecting ionic physiological perivascular marker, alongside diffusion-based measures, and warrants further validation with larger, age-matched datasets and reproducibility-focused designs.

Indexed as

ALPS indexAlzheimer’s diseaseCTI-ALPSDTI-ALPSmild cognitive impairment

Identifiers

PMID42130761
PMCPMC13162331

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.