ArticleBioMed research international2014
Intrinsic functional connectivity networks in healthy elderly subjects: a multiparametric approach with structural connectivity analysis.
Article in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Longitudinal Cerebral Structural, Microstructural, and Functional Alterations After Brain Tumor Surgery for Early Detection of Recurrent Tumors.Biomedicines · 2025Article
- Spontaneous brain activity in healthy aging: An overview through fluctuations and regional homogeneity.Frontiers in aging neuroscience · 2022Article
- Age-related changes in resting-state functional connectivity in older adults.Neural regeneration research · 2019Article
- Article
- Structural and Functional Brain Mapping Correlates of Impaired Eye Movement Control in Parkinsonian Syndromes: A Systems-Based Concept.Frontiers in neurology · 2018Review
- Functional Connectivity Mapping in the Animal Model: Principles and Applications of Resting-State fMRI.Frontiers in neurology · 2017Review
- Functional connectivity changes resemble patterns of pTDP-43 pathology in amyotrophic lateral sclerosis.Scientific reports · 2016Article
- Motor network structure and function are associated with motor performance in Huntington's disease.Journal of neurology · 2016Article
Corrections and comments
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Authors and funding
5 authors.
Funding
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Abstract
Intrinsic functional connectivity magnetic resonance imaging (iFCMRI) provides an encouraging approach for mapping large-scale intrinsic connectivity networks (ICNs) in the "resting" brain. Structural connections as measured by diffusion tensor imaging (DTI) are a major constraint on the identified ICNs. This study aimed at the combined investigation of ten well-defined ICNs in healthy elderly subjects at single subject level as well as at the group level, together with the underlying structural connectivity. IFCMRI and DTI data were acquired in twelve subjects (68 ± 7 years) at a 3T scanner and were studied using the tensor imaging and fiber tracking software package. The seed-based iFCMRI analysis approach was comprehensively performed with DTI analysis, following standardized procedures including an 8-step processing of iFCMRI data. Our findings demonstrated robust ICNs at the single subject level and conclusive brain maps at the group level in the healthy elderly sample, supported by the complementary fiber tractography. The findings demonstrated here provide a methodological framework for future comparisons of pathological (e.g., neurodegenerative) conditions with healthy controls on the basis of multiparametric functional connectivity mapping.
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