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We are analyzing https://link.springer.com/article/10.1007/s00259-025-07172-8.

Title:
Amyloid pathology related to aberrant structure-function coupling of brain networks in Alzheimer’s disease: insights from [18F]-florbetapir PET imaging | European Journal of Nuclear Medicine and Molecular Imaging
Description:
Purpose Brain structure-function coupling (SFC), which reflects the degree to which anatomical structure supports neural function, is an emerging imaging marker in neurodegenerative diseases. However, its pathological underpinnings in Alzheimer’s disease (AD) remain poorly understood. This study aimed to examine the association among amyloid pathology, SFC disruption and cognitive decline. Methods We included 173 participants from the SILCODE cohort, comprising cognitively unimpaired (CU) and cognitively impaired (CI) individuals. Amyloid pathology was quantified using [18F]-florbetapir PET standardized uptake value ratios (SUVR). Structural connectivity (SC) was derived from diffusion-weighted MRI with probabilistic tractography, while functional connectivity (FC) was calculated from resting-state functional MRI. SFC was defined as the coefficient of determination from linear models predicting FC based on SC at regional level. Linear regression and mediation analyses were conducted to assess relationships between amyloid pathology, SFC, and multiple cognitive performances. Results Compared to CU individuals, CI participants exhibited increased regional SFC primarily within the default mode network regions (p < 0.05). In CI participants, amyloid pathology correlated with SFC across occipital lobe, precuneus and temporoparietal regions, which was specific by APOE ε4 status (p < 0.05). Mediation analyses revealed that SFC partially mediated the relationship between amyloid pathology and cognitive impairment (abMoCAāˆ’B = -0.14, 95% CI [-0.27, -0.02]). Similar findings were replicated with plasma markers. Conclusion Amyloid pathology may underlie SFC disruptions, contributing to cognitive decline in AD. These findings suggest that SFC may serve as a potential biomarker for amyloid-related neurodegeneration and cognitive impairment. Trial registration The SILCODE is listed on the ClinicalTrials.gov registry (SILCODE: NCT03370744).
Website Age:
28 years and 1 months (reg. 1997-05-29).

Matching Content Categories {šŸ“š}

  • Education
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Content Management System {šŸ“}

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Custom-built

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🌠 Phenomenal Traffic: 5M - 10M visitors per month


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Keywords {šŸ”}

article, pubmed, google, scholar, alzheimers, brain, disease, wang, cognitive, amyloid, cas, central, china, chen, imaging, beijing, research, functional, network, medical, coupling, impairment, zhang, connectivity, neurol, nat, neuroimage, pathology, structurefunction, networks, han, sfc, study, human, university, huang, authors, hospital, ying, access, open, biomarkers, author, rev, connectome, mudanjiang, content, haojie, shu, decline,

Topics {āœ’ļø}

month download article/chapter resting-state functional mri aberrant structure-function coupling [18f]-florbetapir pet imaging org/journals/neurology/articles/ zhang regional structure-function coupling semi-quantitative amyloid pet sino-german cooperation grant brain structure-function coupling china-japan friendship hospital structural-functional connectivity decoupling 18f-florbetapir pet longitudinal β-amyloid change open research fund state key laboratory alzheimer-related cortical destruction amyloid-related neurodegeneration article european journal cognitively normal elderly functional connectivity toolbox full article pdf open software framework structure–function coupling structure-function coupling clinical medical sciences privacy choices/manage cookies structural–functional coupling beijing chao-yang hospital comprising cognitively unimpaired neurodegeneration access structure–function tethering structure predict function amyloid pathology related scientific research project medical ethics committee ni shu functional connectivity gradients neurodegenerative diseases holds exclusive rights amyloid-β deposition electronic supplementary material prognostic plasma biomarkers cortical network topology cascading network failure central hospital related subjects shenzhen bay laboratory molecular imaging aims connectivity-function relationship brain network communication

Questions {ā“}

  • Can structure predict function in the human brain?

Schema {šŸ—ŗļø}

WebPage:
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         headline:Amyloid pathology related to aberrant structure-function coupling of brain networks in Alzheimer’s disease: insights from [18F]-florbetapir PET imaging
         description:Brain structure-function coupling (SFC), which reflects the degree to which anatomical structure supports neural function, is an emerging imaging marker in neurodegenerative diseases. However, its pathological underpinnings in Alzheimer’s disease (AD) remain poorly understood. This study aimed to examine the association among amyloid pathology, SFC disruption and cognitive decline. We included 173 participants from the SILCODE cohort, comprising cognitively unimpaired (CU) and cognitively impaired (CI) individuals. Amyloid pathology was quantified using [18F]-florbetapir PET standardized uptake value ratios (SUVR). Structural connectivity (SC) was derived from diffusion-weighted MRI with probabilistic tractography, while functional connectivity (FC) was calculated from resting-state functional MRI. SFC was defined as the coefficient of determination from linear models predicting FC based on SC at regional level. Linear regression and mediation analyses were conducted to assess relationships between amyloid pathology, SFC, and multiple cognitive performances. Compared to CU individuals, CI participants exhibited increased regional SFC primarily within the default mode network regions (p &lt; 0.05). In CI participants, amyloid pathology correlated with SFC across occipital lobe, precuneus and temporoparietal regions, which was specific by APOE ε4 status (p &lt; 0.05). Mediation analyses revealed that SFC partially mediated the relationship between amyloid pathology and cognitive impairment (abMoCAāˆ’B = -0.14, 95% CI [-0.27, -0.02]). Similar findings were replicated with plasma markers. Amyloid pathology may underlie SFC disruptions, contributing to cognitive decline in AD. These findings suggest that SFC may serve as a potential biomarker for amyloid-related neurodegeneration and cognitive impairment. The SILCODE is listed on the ClinicalTrials.gov registry (SILCODE: NCT03370744).
         datePublished:2025-03-07T00:00:00Z
         dateModified:2025-03-07T00:00:00Z
         pageStart:2929
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         sameAs:https://doi.org/10.1007/s00259-025-07172-8
         keywords:
            [ F]-florbetapir
            Amyloid
            Plasma biomarkers
            Structure-function coupling
            Alzheimer’s disease
            SILCODE
            Nuclear Medicine
            Imaging / Radiology
            Orthopedics
            Cardiology
            Oncology
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               name:Hao-Jie Chen
               url:http://orcid.org/0000-0002-4362-1056
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                     address:
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      headline:Amyloid pathology related to aberrant structure-function coupling of brain networks in Alzheimer’s disease: insights from [18F]-florbetapir PET imaging
      description:Brain structure-function coupling (SFC), which reflects the degree to which anatomical structure supports neural function, is an emerging imaging marker in neurodegenerative diseases. However, its pathological underpinnings in Alzheimer’s disease (AD) remain poorly understood. This study aimed to examine the association among amyloid pathology, SFC disruption and cognitive decline. We included 173 participants from the SILCODE cohort, comprising cognitively unimpaired (CU) and cognitively impaired (CI) individuals. Amyloid pathology was quantified using [18F]-florbetapir PET standardized uptake value ratios (SUVR). Structural connectivity (SC) was derived from diffusion-weighted MRI with probabilistic tractography, while functional connectivity (FC) was calculated from resting-state functional MRI. SFC was defined as the coefficient of determination from linear models predicting FC based on SC at regional level. Linear regression and mediation analyses were conducted to assess relationships between amyloid pathology, SFC, and multiple cognitive performances. Compared to CU individuals, CI participants exhibited increased regional SFC primarily within the default mode network regions (p &lt; 0.05). In CI participants, amyloid pathology correlated with SFC across occipital lobe, precuneus and temporoparietal regions, which was specific by APOE ε4 status (p &lt; 0.05). Mediation analyses revealed that SFC partially mediated the relationship between amyloid pathology and cognitive impairment (abMoCAāˆ’B = -0.14, 95% CI [-0.27, -0.02]). Similar findings were replicated with plasma markers. Amyloid pathology may underlie SFC disruptions, contributing to cognitive decline in AD. These findings suggest that SFC may serve as a potential biomarker for amyloid-related neurodegeneration and cognitive impairment. The SILCODE is listed on the ClinicalTrials.gov registry (SILCODE: NCT03370744).
      datePublished:2025-03-07T00:00:00Z
      dateModified:2025-03-07T00:00:00Z
      pageStart:2929
      pageEnd:2940
      sameAs:https://doi.org/10.1007/s00259-025-07172-8
      keywords:
         [ F]-florbetapir
         Amyloid
         Plasma biomarkers
         Structure-function coupling
         Alzheimer’s disease
         SILCODE
         Nuclear Medicine
         Imaging / Radiology
         Orthopedics
         Cardiology
         Oncology
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         name:Springer Berlin Heidelberg
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      author:
            name:Hao-Jie Chen
            url:http://orcid.org/0000-0002-4362-1056
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                  name:McGovern Institute for Brain Research, Beijing Normal University
                  address:
                     name:State Key Laboratory of Cognitive Neuroscience and Learning &amp; IDG, McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
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            name:Mingkai Zhang
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                     name:Department of Neurology, XuanWu Hospital of Capital Medical University, Beijing, China
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                     name:BABRI Center, Beijing Normal University, Beijing, China
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                     name:Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
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            name:Jie Yang
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      name:Department of Neurology, Hongqi Hospital Affiliated to Mudanjiang Medical College, Mudanjiang, China
      name:Department of Neurology, XuanWu Hospital of Capital Medical University, Beijing, China
      name:Department of Neurology, XuanWu Hospital of Capital Medical University, Beijing, China
      name:State Key Laboratory of Cognitive Neuroscience and Learning &amp; IDG, McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
      name:BABRI Center, Beijing Normal University, Beijing, China
      name:Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
      name:State Key Laboratory of Cognitive Neuroscience and Learning &amp; IDG, McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
      name:BABRI Center, Beijing Normal University, Beijing, China
      name:Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
      name:State Key Laboratory of Cognitive Neuroscience and Learning &amp; IDG, McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
      name:BABRI Center, Beijing Normal University, Beijing, China
      name:Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
      name:State Key Laboratory of Cognitive Neuroscience and Learning &amp; IDG, McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
      name:BABRI Center, Beijing Normal University, Beijing, China
      name:Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
      name:Department of Psychology, SunYat-sen University, Guangzhou, China
      name:Department of Radiology, China-Japan Friendship Hospital, Beijing, China
      name:Institute of Clinical Medical Sciences), China-Japan Friendship Hospital, Chinese Academy of Medical Sciences &amp; Peking Union Medical College, Beijing, China
      name:Department of Neurology, XuanWu Hospital of Capital Medical University, Beijing, China
      name:School of Biomedical Engineering, Hainan University, Haikou, China
      name:Institute of Biomedical Engineering, Shenzhen Bay Laboratory, Shenzhen, China
      name:Center of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China
      name:National Clinical Research Center for Geriatric Diseases, Beijing, China
      name:The Central Hospital of Karamay, Xinjiang, China
      name:Department of Neurology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
      name:State Key Laboratory of Cognitive Neuroscience and Learning &amp; IDG, McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
      name:BABRI Center, Beijing Normal University, Beijing, China
      name:Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
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