Directed Functional Brain Connectivity is Altered in Sub-threshold Amyloid-β Accumulation in Cognitively Normal Individuals
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Updated: Aug 4, 2025

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment
Published on: August 7, 2017
Mite Mijalkov1, Dániel Veréb1, Anna Canal-Garcia1
1Neuro Division, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Abstract:
Several studies have shown that amyloid-β (Aβ) deposition below the clinically relevant cut-off levels is associated with subtle changes in cognitive function and increases the risk of developing future Alzheimer's disease (AD). Although functional MRI is sensitive to early alterations occurring during AD, sub-threshold changes in Aβ levels have not been linked to functional connectivity measures. This study aimed to apply directed functional connectivity to identify early changes in network function in cognitively unimpaired participants who, at baseline, exhibit Aβ accumulation below the clinically relevant threshold. To this end, we analyzed baseline functional MRI data from 113 cognitively unimpaired participants of the Alzheimer's Disease Neuroimaging Initiative cohort who underwent at least one 18F-florbetapir-PET after the baseline scan. Using the longitudinal PET data, we classified these participants as Aβ negative (Aβ-) non-accumulators (n = 46) and Aβ- accumulators (n = 31). We also included 36 individuals who were amyloid-positive (Aβ+) at baseline and continued to accumulate Aβ (Aβ+ accumulators). For each participant, we calculated whole-brain directed functional connectivity networks using our own anti-symmetric correlation method and evaluated their global and nodal properties using measures of network segregation (clustering coefficient) and integration (global efficiency). When compared to Aβ- non-accumulators, the Aβ- accumulators showed lower global clustering coefficient. Moreover, the Aβ+ accumulator group exhibited reduced global efficiency and clustering coefficient, which at the nodal level mainly affected the superior frontal gyrus, anterior cingulate cortex, and caudate nucleus. In Aβ- accumulators, global measures were associated with lower baseline regional PET uptake values, as well as higher scores on the Modified Preclinical Alzheimer Cognitive Composite. Our findings indicate that directed connectivity network properties are sensitive to subtle changes occurring in individuals who have not yet reached the threshold for Aβ positivity, which makes them a potentially viable marker to detect negative downstream effects of very early Aβ pathology.
Insights
Directed functional connectivity reveals subtle brain network changes in individuals with early amyloid-beta (Aβ) accumulation, even below clinical thresholds. These network alterations may serve as early biomarkers for Alzheimer
Area of Science:
- Neuroscience
- Biomarkers
- Alzheimer's Disease Research
Background:
- Amyloid-beta (Aβ) deposition below clinical thresholds is linked to cognitive changes and increased Alzheimer's disease (AD) risk.
- Functional MRI (fMRI) detects early AD alterations, but sub-threshold Aβ changes haven't been linked to functional connectivity.
- Early detection of AD pathology is crucial for timely intervention.
Purpose of the Study:
- To apply directed functional connectivity to identify early network function changes in cognitively unimpaired individuals with sub-threshold Aβ accumulation.
- To investigate if network properties can detect preclinical AD pathology.
- To explore the relationship between Aβ accumulation, network function, and cognitive performance.
Main Methods:
- Analysis of baseline fMRI data from 113 cognitively unimpaired participants from the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort.
- Classification of participants into Aβ- non-accumulators, Aβ- accumulators, and Aβ+ accumulators based on longitudinal 18F-florbetapir-PET data.
- Calculation of whole-brain directed functional connectivity networks using an anti-symmetric correlation method and evaluation of global/nodal properties (clustering coefficient, global efficiency).
Main Results:
- Aβ- accumulators showed a lower global clustering coefficient compared to Aβ- non-accumulators.
- Aβ+ accumulators exhibited reduced global efficiency and clustering coefficient, particularly in the superior frontal gyrus, anterior cingulate cortex, and caudate nucleus.
- In Aβ- accumulators, network measures correlated with baseline PET uptake and cognitive scores (Modified Preclinical Alzheimer Cognitive Composite).
Conclusions:
- Directed functional connectivity network properties are sensitive to subtle changes associated with very early Aβ accumulation, preceding clinical thresholds.
- These network properties show potential as viable biomarkers for detecting the downstream effects of preclinical AD pathology.
- Findings highlight the utility of network analysis in understanding early neurobiological changes in Alzheimer's disease.
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