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Peer-reviewedCC BY-NC 4.0American Journal of Alzheimer's Disease and Other Dementias

Distance-dependent Functional Connectivity Strength Analysis Using Resting-State fMRI: Application to Vascular Cognitive Impairment, No Dementia

  • Qiong-Ge Li1,2
  • Yi Xing3
  • Yi Shan1,2
  • Ya-Yan Yin1,2
  • Yi Tang3
  • Jie Lu1,2
  1. 1Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
  2. 2Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China
  3. 3Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
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Abstract

We present a resting-state fMRI–based protocol for quantifying anatomical distance–dependent functional connectivity strength (FCS) and demonstrate its application in vascular cognitive impairment, no dementia (VCIND). Resting-state fMRI data from VCIND patients and demographically matched normal controls were analyzed using voxel-wise FCS across six anatomical distance intervals to characterize short-, medium-, and long-range functional connectivity. Network-level analyses were also performed to identify large-scale network involvement. The results reveal a hierarchical distance-dependent organization of functional connectivity, with short-range connectivity concentrated in primary sensory systems and long-range connectivity increasingly involving higher-order association networks. In VCIND, significant alterations were observed particularly within the frontoparietal network, suggesting compensatory network reorganization associated with cognitive performance. These distance-dependent FCS alterations may serve as potential neuroimaging markers for early identification and risk stratification of VCIND and may also support longitudinal monitoring of functional network changes.

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Cite

BibTeXRIS
BibTeX
@article{li2026distancedependent,
  title = {{Distance-dependent Functional Connectivity Strength Analysis Using Resting-State fMRI: Application to Vascular Cognitive Impairment, No Dementia}},
  author = {Qiong-Ge Li and Yi Xing and Yi Shan and Ya-Yan Yin and Yi Tang and Jie Lu},
  journal = {American Journal of Alzheimer's Disease and Other Dementias},
  year = {2026},
  month = sep,
  doi = {10.1177/15333175261491804},
  url = {https://doi.org/10.1177/15333175261491804},
  note = {CC BY-NC 4.0},
}
RIS
TY  - JOUR
TI  - Distance-dependent Functional Connectivity Strength Analysis Using Resting-State fMRI: Application to Vascular Cognitive Impairment, No Dementia
AU  - Qiong-Ge Li
AU  - Yi Xing
AU  - Yi Shan
AU  - Ya-Yan Yin
AU  - Yi Tang
AU  - Jie Lu
PY  - 2026
DA  - 2026/09/18
JO  - American Journal of Alzheimer's Disease and Other Dementias
DO  - 10.1177/15333175261491804
UR  - https://doi.org/10.1177/15333175261491804
AB  - We present a resting-state fMRI–based protocol for quantifying anatomical distance–dependent functional connectivity strength (FCS) and demonstrate its application in vascular cognitive impairment, no dementia (VCIND). Resting-state fMRI data from VCIND patients and demographically matched normal controls were analyzed using voxel-wise FCS across six anatomical distance intervals to characterize short-, medium-, and long-range functional connectivity. Network-level analyses were also performed to identify large-scale network involvement. The results reveal a hierarchical distance-dependent organization of functional connectivity, with short-range connectivity concentrated in primary sensory systems and long-range connectivity increasingly involving higher-order association networks. In VCIND, significant alterations were observed particularly within the frontoparietal network, suggesting compensatory network reorganization associated with cognitive performance. These distance-dependent FCS alterations may serve as potential neuroimaging markers for early identification and risk stratification of VCIND and may also support longitudinal monitoring of functional network changes.
SN  - 1533-3175
SN  - 1938-2731
ER  -