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Cullum, C. M.

Publications and source records attributed to Cullum, C. M..

3 recordsLinked to original sources

Somatosensory gating dysfunction is masked by cognitive variability in cognitively impaired individuals

Disruptions in somatosensory processing have been observed in cognitive impairment (CI), suggesting that alterations in sensory processing may emerge earlier during cognitive decline than previously recognized. Somatosensory gating (SG) is an automatic inhibitory mechanism that protects neural resources by suppressing responses to redundant, non-behaviorally relevant stimuli. Prior work has demonstrated exaggerated gamma SG and response amplitudes in the primary somatosensory cortex (S1) of individuals with Alzheimers disease-confirmed pathology, and these effects were masked by variability in attention/executive function performance. However, whether similar relationships are present during earlier stages of cognitive decline, such as CI, remains unclear. Herein, 63 cognitively healthy older adults (CH; mean age = 59.9 {+/-} 8.6 years) and 32 individuals with CI (mean age = 62.4 {+/-} 8.8 years) underwent magnetoencephalography (MEG) while completing a paired-pulse SG paradigm designed to probe inhibitory sensory processing. MEG oscillatory responses were source-imaged using a beamformer. Time series data were extracted from the peak voxel to quantify oscillatory dynamics and SG. Neuropsychological testing was conducted to assess attention/executive function. After controlling for attention/executive function variance, exaggerated gamma SG was observed in adults with CI compared with CH adults (p < 0.05). Additionally, adults with CI exhibited increased beta peak frequency following the second stimulation (p < 0.01) and a group-by-age interaction for theta SG in S1 (p < 0.05). Together, these results suggest somatosensory abnormalities are present in earlier stages of cognitive decline and highlight a dynamic interaction between sensory processing and cognitive systems during this decline.

neuroscience↗

Age-Related Alterations in Multispectral Somatosensory Gating: Evidence for Partial Compensation in Attentional Performance

Healthy cognitive aging involves selective changes, with relative preservation of some domains and decline in others, particularly attention, inhibitory control, and executive function. Somatosensory gating (SG) refers to the brains ability to suppress neural responses to redundant tactile input, conserving resources for relevant stimuli and reflects pre-attentive and inhibitory mechanisms. Prior region-of-interest studies have shown age-related reductions in gamma SG within contralateral primary somatosensory cortex (S1), and modulation of theta, alpha, and beta SG by attention in young adults. However, whole-brain, multispectral age effects remain unclear. In this study, 63 middle-to-older aged adults (38 females; mean age = 59.9 {+/-} 8.6 years) underwent magnetoencephalography during a paired-pulse somatosensory paradigm. SG was quantified as attenuation of the neural response to the second stimulus relative to the first. Time-frequency analyses identified theta (4-7 Hz), alpha (8-13 Hz), beta (15-25 Hz), and gamma (30-90 Hz) oscillatory responses, and band-specific voxel-wise whole-brain gating maps assessed age-related effects. Attention/executive function was also measured. Results showed significant age-related increases in gamma SG in the contralateral supplementary motor area. Mediation analyses suggested this increase partially offsets age-related declines in attention/executive function, consistent with a partial compensatory mechanism. Additionally, theta SG in contralateral S1 increased with age. These findings demonstrate frequency- and region-specific age-related alterations in SG, suggesting that older adults may recruit enhanced inhibitory mechanisms, particularly in higher-order sensorimotor regions, to support cognitive function.

neuroscience↗

A Functional Resting-State Network Atlas Based on 420 Older Adults with Hypertension

The Risk Reduction for Alzheimers Disease (rrAD) trial included 513 cognitively normal, sedentary, hypertensive older adults (aged 60 to 85 years) with dementia risk factors. We utilized 420 high-quality baseline resting-state functional MRI (rs-fMRI) scans from this cohort to develop a functional atlas tailored for aging populations. Typical rs-fMRI atlases derived from healthy young adults do not account for age-related changes, such as cortical atrophy, enlarged ventricles, and altered connectivity. To address this gap, we created a cohort-specific MNI-adjacent anatomical template, rrAD420, using SPM12s DARTEL registration. In this space, we derived a comprehensive functional atlas using both group independent component analysis (GICA) and probabilistic functional mode decomposition (PROFUMO). The rrAD420 atlas offers detailed representations of Resting-State Network (RSN) connectivity, encompassing unique configurations and overlapping interactions. It features two Default-Mode Network (DMN)-specific seed-based maps (DMN24 with cerebellum, DMN18 without) and data-driven components resembling the major RSNs. Furthermore, PROFUMO allowed for the identification of multimodal and combinatory networks, capturing connections within and between RSNs. While optimized for hypertensive older adults, the rrAD420 atlas serves as a versatile tool for broader aging populations, aiding in the study of neurodegenerative processes and biomarker discovery.

neuroscience↗