ArticleAlzheimer's research & therapy2022
A low-dimensional cognitive-network space in Alzheimer's disease and frontotemporal dementia.
Article in Alzheimer's research & therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed.
- Inferring multi-organ genetic connections using imaging and clinical data through Mendelian randomization.Nature biomedical engineering · 2026Article
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- Fractal dynamics of the healthy human brain: A subcortical-to-cortical gradient of temporal complexity.iScience · 2026Article
- Functional network collapse in neurodegenerative disease.Nature communications · 2025Article
- Intersection of Brain Complexity, Functional Connectivity, and Neuropsychology: A Systematic Review.Cureus · 2025Review
- The graded multidimensional geometry of phenotypic variation and progression in neurodegenerative syndromes.Brain : a journal of neurology · 2025Article
- Immunity impacts cognitive deficits across neurological disorders.Journal of neurochemistry · 2024Review
- Behavioral and dysexecutive variant of Alzheimer's disease: Insights from structural and molecular imaging studies.Heliyon · 2024Review
- Deficits in force production during multifinger tasks demarcate cognitive dysfunction.Aging clinical and experimental research · 2024Article
- Principal Component Analysis Enhanced with Bootstrapped Confidence Interval for the Classification of Parkinsonian Patients Using Gaussian Mixture Model and Gait Initiation Parameters.Sensors (Basel, Switzerland) · 2024Article
- Detection of neurophysiological markers of cognitive reserve: an EEG study.Frontiers in aging neuroscience · 2024Article
- Different MRI structural processing methods do not impact functional connectivity computation.Scientific reports · 2023Article
- Patterns of gray and white matter functional networks involvement in glioblastoma patients: indirect mapping from clinical MRI scans.Frontiers in neurology · 2023Article
- Neuroimaging modalities in the detection of Alzheimer's disease-associated biomarkers.Psychoradiology · 2023Review
- Apolipoprotein-E deficiency leads to brain network alteration characterized by diffusion MRI and graph theory.Frontiers in neuroscience · 2023Article
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11 authors.
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Abstract
backgroundAlzheimer's disease (AD) and frontotemporal dementia (FTD) show network dysfunctions linked with cognitive deficits. Within this framework, network abnormalities between AD and FTD show both convergent and divergent patterns. However, these functional patterns are far from being established and their relevance to cognitive processes remains to be elucidated.
methodsWe investigated the relationship between cognition and functional connectivity of major cognitive networks in these diseases. Twenty-three bvFTD (age: 71±10), 22 AD (age: 72±6), and 20 controls (age: 72±6) underwent cognitive evaluation and resting-state functional MRI. Principal component analysis was used to describe cognitive variance across participants. Brain network connectivity was estimated with connectome analysis. Connectivity matrices were created assessing correlations between parcels within each functional network. The following cognitive networks were considered: default mode (DMN), dorsal attention (DAN), ventral attention (VAN), and frontoparietal (FPN) networks. The relationship between cognition and connectivity was assessed using a bootstrapping correlation and interaction analyses.
resultsThree principal cognitive components explained more than 80% of the cognitive variance: the first component (cogPC1) loaded on memory, the second component (cogPC2) loaded on emotion and language, and the third component (cogPC3) loaded on the visuo-spatial and attentional domains. Compared to HC, AD and bvFTD showed impairment in all cogPCs (p<0.002), and bvFTD scored worse than AD in cogPC2 (p=0.031). At the network level, the DMN showed a significant association in the whole group with cogPC1 and cogPC2 and the VAN with cogPC2. By contrast, DAN and FPN showed a divergent pattern between diagnosis and connectivity for cogPC2. We confirmed these results by means of a multivariate analysis (canonical correlation).
conclusionsA low-dimensional representation can account for a large variance in cognitive scores in the continuum from normal to pathological aging. Moreover, cognitive components showed both convergent and divergent patterns with connectivity across AD and bvFTD. The convergent pattern was observed across the networks primarily involved in these diseases (i.e., the DMN and VAN), while a divergent FC-cognitive pattern was mainly observed between attention/executive networks and the language/emotion cognitive component, suggesting the co-existence of compensatory and detrimental mechanisms underlying these components.
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