Loss of ‘Small-World’ Networks in Alzheimer's Disease: Graph Analysis of fMRI Resting-State Functional Connectivity

BACKGROUND: Local network connectivity disruptions in Alzheimer's disease patients have been found using graph analysis in BOLD fMRI. Other studies using MEG and cortical thickness measures, however, show more global long distance connectivity changes, both in functional and structural imaging data. The form and role of functional connectivity changes thus remains ambiguous. The current study shows more conclusive data on connectivity changes in early AD using graph analysis on resting-state condition fMRI data. METHODOLOGY/PRINCIPAL FINDINGS: 18 mild AD patients and 21 healthy age-matched control subjects without memory complaints were investigated in resting-state condition with MRI at 1.5 Tesla. Functional coupling between brain regions was calculated on the basis of pair-wise synchronizations between regional time-series. Local (cluster coefficient) and global (path length) network measures were quantitatively defined. Compared to controls, the characteristic path length of AD functional networks is closer to the theoretical values of random networks, while no significant differences were found in cluster coefficient. The whole-brain average synchronization does not differ between Alzheimer and healthy control groups. Post-hoc analysis of the regional synchronization reveals increased AD synchronization involving the frontal cortices and generalized decreases located at the parietal and occipital regions. This effectively translates in a global reduction of functional long-distance links between frontal and caudal brain regions. CONCLUSIONS/SIGNIFICANCE: We present evidence of AD-induced changes in global brain functional connectivity specifically affecting long-distance connectivity. This finding is highly relevant for it supports the anterior-posterior disconnection theory and its role in AD. Our results can be interpreted as reflecting the randomization of the brain functional networks in AD, further suggesting a loss of global information integration in disease

Predicting future cognitive decline from non-brain and multimodal brain imaging data in healthy and pathological aging

Previous literature has focused on predicting a diagnostic label from structural brain imaging. Since subtle changes in the brain precede a cognitive decline in healthy and pathological aging, our study predicts future decline as a continuous trajectory instead. Here, we tested whether baseline multimodal neuroimaging data improve the prediction of future cognitive decline in healthy and pathological aging. Nonbrain data (demographics, clinical, and neuropsychological scores), structural MRI, and functional connectivity data from OASIS-3 (N = 662; age = 46–96 years) were entered into cross-validated multitarget random forest models to predict future cognitive decline (measured by CDR and MMSE), on average 5.8 years into the future. The analysis was preregistered, and all analysis code is publicly available. Combining non-brain with structural data improved the continuous prediction of future cognitive decline (best test-set performance: R2 = 0.42). Cognitive performance, daily functioning, and subcortical volume drove the performance of our model. Including functional connectivity did not improve predictive accuracy. In the future, the prognosis of age-related cognitive decline may enable earlier and more effective individualized cognitive, pharmacological, and behavioral interventions

Glucocorticoids Decrease Hippocampal and Prefrontal Activation during Declarative Memory Retrieval in Young Men

Glucocorticoids (GCs, cortisol in human) are associated with impairments in declarative memory retrieval. Brain regions hypothesized to mediate these effects are the hippocampus and prefrontal cortex (PFC). Our aim was to use fMRI in localizing the effects of GCs during declarative memory retrieval. Therefore, we tested memory retrieval in 21 young healthy males in a randomized placebo-controlled crossover design. Participants encoded word lists containing neutral and emotional words 1 h prior to ingestion of 20 mg hydrocortisone. Memory retrieval was tested using an old/new recognition paradigm in a rapid event-related design. It was found that hydrocortisone decreased brain activity in both the hippocampus and PFC during successful retrieval of neutral words. These observations are consistent with previous animal and human studies suggesting that glucocorticoids modulate both hippocampal and prefrontal brain regions that are crucially involved in memory processing

Functional Brain Networks Develop from a “Local to Distributed” Organization

The mature human brain is organized into a collection of specialized functional networks that flexibly interact to support various cognitive functions. Studies of development often attempt to identify the organizing principles that guide the maturation of these functional networks. In this report, we combine resting state functional connectivity MRI (rs-fcMRI), graph analysis, community detection, and spring-embedding visualization techniques to analyze four separate networks defined in earlier studies. As we have previously reported, we find, across development, a trend toward ‘segregation’ (a general decrease in correlation strength) between regions close in anatomical space and ‘integration’ (an increased correlation strength) between selected regions distant in space. The generalization of these earlier trends across multiple networks suggests that this is a general developmental principle for changes in functional connectivity that would extend to large-scale graph theoretic analyses of large-scale brain networks. Communities in children are predominantly arranged by anatomical proximity, while communities in adults predominantly reflect functional relationships, as defined from adult fMRI studies. In sum, over development, the organization of multiple functional networks shifts from a local anatomical emphasis in children to a more “distributed” architecture in young adults. We argue that this “local to distributed” developmental characterization has important implications for understanding the development of neural systems underlying cognition. Further, graph metrics (e.g., clustering coefficients and average path lengths) are similar in child and adult graphs, with both showing “small-world”-like properties, while community detection by modularity optimization reveals stable communities within the graphs that are clearly different between young children and young adults. These observations suggest that early school age children and adults both have relatively efficient systems that may solve similar information processing problems in divergent ways

Greater than the sum of its parts: a review of studies combining structural connectivity and resting-state functional connectivity.

Abstract It is commonly assumed that functional brain connectivity reflects structural brain connectivity. The exact relationship between structure and function, however, might not be straightforward. In this review we aim to examine how our understanding of the relationship between structure and function in the 'resting' brain has advanced over the last several years. We discuss eight articles that directly compare resting-state functional connectivity with structural connectivity and three clinical case studies of patients with limited white matter connections between the cerebral hemispheres. All studies examined show largely convergent results: the strength of restingstate functional connectivity is positively correlated with structural connectivity strength. However, functional connectivity is also observed between regions where there is little or no structural connectivity, which most likely indicates functional correlations mediated by indirect structural connections (i.e. via a third region). As the methodologies for measuring structural and functional connectivity continue to improve and their complementary strengths are applied in parallel, we can expect important advances in our diagnostic and prognostic capacities in diseases like Alzheimer's, multiple sclerosis, and stroke

Salience network functional connectivity associates with levels of social interactions in healthy and mild cognitively impaired older adults

BackgroundOlder adults are at high risk for both cognitive decline and social isolation. A higher level of social interaction, however, confers a protective effect against cognitive decline, and intervention studies have demonstrated the efficacy of social interactions to enhance cognitive function. The biological mechanism of this enhancement is unclear. Here we evaluate the association between social interaction and the functional connectivity of the salience (SN) and default mode (DMN) networks, two large‐scale brain networks implicated in social and cognitive function.MethodMichigan Alzheimer’s Disease Center at University of Michigan (Ann Arbor, MI, USA) collected data on the Lubben Social Network Scale (LSNS‐6), which indicates levels of social interaction, and resting‐state functional MRI data for 62 older adults with normal cognition (NOR; mean age +/‐ SD = 69.72 years +/‐ 6.24) and 51 mild cognitively impaired (MCI; 71.61 years +/‐ 8.57) participants. We evaluated the association between SN or DMN functional connectivity (DV) and level of social interaction using a linear regression model with age and sex as covariates.ResultNOR and MCI participants did not differ in age (t=‐1.31, p=0.19), level of social interactions (t=1.47, p=0.14), or SN connectivity (t=1.86,p=0.065), but MCI did have lower DMN connectivity (t=2.839, p=0.005). Level of social interaction associated positively with SN connectivity (t=2.34, p=0.02, rp=0.218). The Lubben items most strongly associated with SN connectivity were: “How many relatives do you feel at ease with that you can talk about private matters?” (rp=0.268, p=0.004) and "How many relatives do you feel close to such that you could call on them for help?” (rp=0.284, p=0.003).ConclusionOur data support an association in older adults between greater salience network connectivity and higher levels of social interaction, driven by quality of family interactions. Notably, an association with level of social interaction was not found for default mode network connectivity, suggesting the association found with salience network is not a global network effect. This finding highlights salience network functional connectivity as a meaningful outcome measure for social interventions on cognition in older adults.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/163802/1/alz040519.pd

Plasma NfL predicts default mode network functional connectivity in older adults at higher risk for Alzheimer’s disease

BackgroundNeurofilament light (NfL) is a measure of neuronal damage and has the potential as a monitoring and prognostic biomarker of Alzheimer’s disease (AD) (Mattsson et al., 2019). Likewise, alterations in default mode network (DMN) functional connectivity (FC) may predict AD progression (Jones et al., 2016). Here, we investigated the relationship between plasma NfL levels and DMN FC along the continuum of AD, and explored whether APOE ε4 status influenced this relationship.MethodResting-state functional MRI data and blood samples were available for 103 older adults (17 with AD dementia, age: 69.2±6.9; m/f: 8/9; CDR: 0.7±0.3; and 86 without dementia (includes amnestic MCI and control), age: 71.7±7.4; m/f: 21/65; CDR: 0.3±0.2). Plasma NfL was measured using a single-molecule array (Simoa) assay. We calculated DMN FC using 32 high consensus DMN ROIs from Dworetsky et al. (2021). DMN FC was defined as the average correlation between the mean time-series of three ROIs labeled as posterior cingulate cortex and those of all the other ROIs. Participants’ APOE status was defined as APOE ε4 carriers (ε3/ε4 or ε4/ε4) and noncarriers (ε3/ε3). Multiple regression was run with DMN FC as the outcome variable, plasma NfL as the predictor, and age and sex as covariates.ResultPlasma NfL levels were higher in those with dementia compared to those without dementia (t = 4.4608, p = 0.0002) but did not differ between amnestic MCI and control (t = 1.6116, p = 0.1130). Across all participants, plasma NfL did not predict DMN FC (Β = 0.0045, p = 0.4830). However, higher plasma NfL was marginally associated with higher DMN FC in those with dementia (Β = 0.0045, p = 0.0657) but not in those without dementia (Β = 0.0021, p = 0.3160). Moreover, in those without dementia, higher plasma NfL predicted higher DMN FC in APOE ε4 carriers (Β = 0.0079, p = 0.0312) but not in APOE ε4 noncarriers (Β = 0.0023, p = 0.4871).ConclusionOur results indicate that the increase of DMN FC, seen at early stages of AD (Damoiseaux et al., 2012), is significantly associated with more neuronal damage in APOE ε4 carriers without dementia.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/175426/1/alz064601.pd