Biology subjects

Milne, E.

Publications and source records attributed to Milne, E..

4 recordsLinked to original sources

bioRxiv2025

Eyes-closed resting state EEG reveals clearer and more stable group differences between autistic and neurotypical individuals than eyes-open resting state EEG

BackgroundResting-state electroencephalography (rs-EEG) has been widely used to explore neural dynamics in Autism Spectrum Condition (ASC). However, inconsistencies in findings across studies remain a challenge, partly due to variations in brain state, such as eye conditions (eyes-open vs. eyes-closed). This study aims to examine rs-EEG differences between ASC and neurotypical (NT) participants, focusing on the influence of eye condition. MethodsA total of 300 participants (126 ASC) were included. Rs-EEG data were analysed across eyes-open, eyes-closed, and difference between eye conditions, with 726 variables assessed per participant. Linear regression and effect size (2partial) were used to identify group differences, complemented by cluster-based permutation testing and bootstrapped split-half validation for reliability. ResultsGroup differences were most pronounced in the eyes-closed condition, particularly for relative power and multiscale entropy (MSE). Compared to neurotypical participants, ASC participants exhibited reduced frontal coarse-scale MSE, increased delta power, and decreased alpha power, suggesting altered local-global neural dynamics. Cross-validation revealed greater reliability of effects in the eyes-closed condition compared to eyes-open or difference between eye conditions. ConclusionsEye condition plays a critical role in detecting rs-EEG differences between ASC and NT groups, with the eyes-closed condition yielding more consistent and pronounced effects. These findings highlight the importance of controlling brain state in rs-EEG studies and suggest that integrating eye condition effects with other biomarkers may improve identification of neural differences associated with ASC.

neuroscience↗

bioRxiv2024

Genomic insights into red squirrels in Scotland reveals loss of heterozygosity associated with extreme founder effects

Remnant populations of endangered species often have complex demographic histories associated with human impact. This can present challenges for conservation as the genetic status of these populations are often a-typical of natural populations, and may require bespoke management. The Eurasian red squirrel, Sciurus vulgaris (L., 1758), is endangered in the UK. Scotland represents a key stronghold, but Scottish populations have been subjected to intense anthropogenic influence, including wide-spread extirpations, reintroductions and competition from an invasive species. This study examined the genetic legacy of these events through whole genome resequencing of 106 red squirrels. Using SNP and genotype likelihood datasets, previously undetected population structure and patterns of gene-flow were uncovered. One off-shore island, three mainland Scottish populations, and a key east-coast migration corridor were observed. An abrupt historical population bottleneck related to extreme founder effects has led to a severe and prolonged depression in genome-wide heterozygosity, which is amongst the lowest reported for any species. Current designated red squirrel conservation stronghold locations do not encompass all existing diversity. These findings highlight the genetic legacies of past anthropogenic influence on long-term diversity in endangered taxa. Continuing management interventions and regular genetic monitoring are recommended to safeguard and improve future diversity.

genomics↗

bioRxiv2021

Differential Expression of Alkaline Phosphatase and PHOSPHO1 in Bone from a Murine Model of Chronic Kidney Disease

Patients with advanced chronic kidney disease (CKD) often present with skeletal abnormalities; a condition known as renal osteodystrophy (ROD). While Tissue-nonspecific alkaline phosphatase (TNAP) and PHOSPHO1 are recognized to be critical for bone mineralization, their role in the etiology of ROD is unclear. To address this, ROD was induced in both wild-type and Phospho1 knockout (P1KO) mice using dietary adenine supplementation. The mice presented with hyperphosphatemia, hyperparathyroidism, and elevated levels of FGF23 and bone turnover markers. In particular, we noted that in CKD mice, bone mineral density (BMD) was increased in cortical bone (p < 0.05) but decreased in trabecular bone (p < 0.05). These changes were accompanied by decreased TNAP (p < 0.01) and increased PHOSPHO1 (p < 0.001) expression in wild-type CKD bones. In P1KO CKD mice, the cortical BMD phenotype was rescued, suggesting that the increased cortical BMD of CKD mice was driven by increased PHOSPHO1 expression. Other structural parameters were also improved in P1KO CKD mice. We further investigated the driver of the mineralization defects, by studying the effects of FGF23, PTH, and phosphate administration on PHOSPHO1 and TNAP expression by primary murine osteoblasts. We found both PHOSPHO1 and TNAP expression to be down-regulated in response to phosphate and PTH. While matrix mineralization was increased with phosphate (Pi), it decreased with PTH and FGF23 had no effect. The in vitro data suggest that the TNAP reduction in CKD-MBD is driven by the hyperphosphatemia and/or hyperparathyroidism noted in these mice, while the higher PHOSPHO1 expression may be a compensatory mechanism in an attempt to protect the bone from hypomineralization. We propose that increased PHOSPHO1 expression in ROD may contribute to the disordered skeletal mineralization characteristic of this progressive disorder.

cell biology↗

bioRxiv2021

Electrophysiological signatures of brain aging in autism spectrum disorder.

Emerging evidence suggests that aging processes may be altered in adults with autism spectrum disorder (ASD). However, it remains unclear if oscillatory slowing, a key neurophysiological change in the aging brain, manifests atypically in this population. This study sought to examine patterns of age-related oscillatory slowing in adults with ASD, captured by reductions in the brains peak alpha frequency. Resting-state EEG data from adults (18-70 years) with ASD (N=93) and age-matched neurotypical (NT) controls (N=87) were pooled from three independent datasets. A robust curve-fitting procedure quantified the peak frequency of alpha oscillations (7-13Hz) across all brain regions. Associations between peak alpha frequency and age were assessed and compared between groups. Consistent with characteristic patterns of oscillatory slowing, peak alpha frequency was negatively associated with age across the entire sample (p<.0001). A significant group by age interaction revealed that this relationship was more pronounced in adults with ASD (p<.01), suggesting that that age-related oscillatory slowing may be accelerated in this population. Scalable EEG measures such as peak alpha frequency could provide insights into neural aging that are crucially needed to inform care plans and preventive interventions that can promote successful aging in ASD.

neuroscience↗