Biology subjects

Betts, M. J.

Publications and source records attributed to Betts, M. J..

4 recordsLinked to original sources

bioRxiv2025

Different dopaminergic circuits defined by D2/D3 receptor availablity patterns show structure-specific links to memory in ageing

Cognitive ageing is marked by progressive decline in episodic memory and dopaminergic function, yet the extent to which individual differences in dopaminergic system integrity influence memory under motivational contexts remains unclear. In this study, we investigated how baseline D2/D3 receptor availability (BPND0) in key dopaminergic pathways relates to reward-modulated memory performance in healthy older adults. Thirty-three healthy seniors (aged 64-85) underwent two session concurrent MR-PET imaging with [1F]fallypride involving scene categorisation task with high- and low-motivational contexts. We quantified BPND0 across nine dopaminergic regions of interest and examined their relationships with recognition memory performance at short ([~]15m) and long ([~]24h) delays. Baseline D2/D3 receptor availability showed high test-retest reliability and regionally distinct profiles, suggesting it reflects a stable neurochemical characteristic in healthy ageing, and principal axis factor analysis revealed two partially independent dopaminergic subsystems (dorsal striatal vs mesolimbic) based on interindividual patterns in receptor densities. Region-specific associations further linked D2/D3 receptor availability to distinct memory outcomes. Higher caudate D2/D3 receptor availability was associated with a liberal response bias (increased hits and false alarms both), whereas higher putamen D2/D3 predicted more durable long-term memory retention. Greater thalamic D2/D3 receptor availability correlated with fewer short-term false memories, while greater D2/D3 receptor availability in the amygdala was associated with better recognition at longer delays. In contrast, higher midbrain (substantia nigra and ventral tegmental area) D2/D3 availability which was linked to poorer reward-related memory performance. These findings suggest several complementary dopaminergic circuits supporting episodic memory. Our results highlight dopaminergic neuromodulation as a key factor in cognitive ageing and a potential target for interventions to bolster memory in late life. Patient consent and ethics approvalAll subjects who were included in this study have provided their consent prior to their participation, following the guidelines of the ethics committee at University Hospital Magdeburg in Magdeburg, Germany.

neuroscience↗

bioRxiv2024

Evaluating phasic transcutaneous vagus nerve stimulation (taVNS) with pupil dilation: the importance of stimulation intensity and sensory perception

The efficacy of transcutaneous auricular vagus nerve stimulation (taVNS) as a non-invasive method to modulate physiological markers of noradrenergic activity of the Locus Coeruleus (LC), such as pupil dilation, is increasingly more discussed. However, taVNS studies show high heterogeneity of stimulation effects. Therefore, a taVNS setup was established here to test different frequencies (10 Hz and 25 Hz) and intensities (3 mA and 5 mA) during phasic stimulation (3 s) with time-synchronous recording of pupil dilation in younger adults. Specifically, phasic real taVNS and higher intensity led to increased pupil dilation, which is consistent with phasic invasive VNS studies in animals. The results also suggest that the influence of intensity on pupil dilation may be stronger than that of frequency. However, there was an attenuation of taVNS-induced pupil dilation when differences in perception of sensations were considered. Specifically, pupil dilation during phasic stimulation increased with perceived stimulation intensity. The extent to which the effect of taVNS induces pupil dilation and the involvement of sensory perception in the stimulation process are discussed here and require more extensive research. Additionally, it is crucial to strive for comparable stimulation sensations during systematic parameter testing in order to investigate possible effects of phasic taVNS on pupil dilation in more detail.

neuroscience↗

bioRxiv2024

Fully Automated MRI-based Analysis of the Locus Coeruleus in Aging and Alzheimer's Disease Dementia using ELSI-Net

INTRODUCTIONThe Locus Coeruleus (LC) is linked to the development and pathophysiology of neurodegenerative diseases such as Alzheimers Disease (AD). Magnetic Resonance Imaging based LC features have shown potential to assess LC integrity in vivo. METHODSWe present a Deep Learning based LC segmentation and feature extraction method: ELSI-Net and apply it to healthy aging and AD dementia datasets. Agreement to expert raters and previously published LC atlases were assessed. We aimed to reproduce previously reported differences in LC integrity in aging and AD dementia and correlate extracted features to cerebrospinal fluid (CSF) biomarkers of AD pathology. RESULTSELSI-Net demonstrated high agreement to expert raters and published atlases. Previously reported group differences in LC integrity were detected and correlations to CSF biomarkers were found. DISCUSSIONAlthough we found excellent performance, further evaluations on more diverse datasets from clinical cohorts are required for a conclusive assessment of ELSI-Nets general applicability. HighlightsO_LIthorough evaluation of a fully automatic LC segmentation method termed ELSI-Net in aging and AD dementia C_LIO_LIELSI-Net outperforms previous work and shows high agreement with manual ratings and previously published LC atlases C_LIO_LIELSI-Net replicates previously shown LC group differences in aging and AD C_LIO_LIELSI-Nets LC volume correlates with CSF biomarkers of AD pathology C_LI RESEARCH IN CONTEXTO_LISystematic Review: The authors reviewed the literature using traditional sources (e.g. Pubmed, Google Scholar). Although there are several publications introducing semi-automatic methods for LC segmentation, the application of Deep Learning methods is underexplored. To the best of our knowledge, this is the first paper using a Deep Learning based approach for automated LC segmentation in AD dementia. C_LIO_LIInterpretation: Our work introduces and evaluates an improved automatic, Deep Learning based LC segmentation and analysis approach. The results suggest a very high potential for practical applicability, e.g. in large-scale clinical studies for neurodegenerative diseases. C_LIO_LIFuture Directions: ELSI-Net can be used to assess LC integrity on large- or small-scale studies in Alzheimers Disease dementia. To ensure robust performance, ELSI-Net should be further evaluated in larger, more diverse datasets comprising varying LC MRI protocols and clinical populations. C_LI

bioinformatics↗

bioRxiv2019

Learning in anticipation of reward and punishment: Perspectives across the human lifespan

Pavlovian biases influence the interaction between action and valence by coupling reward seeking to action invigoration and punishment avoidance to action suppression. In this study we used an orthogonalised go/no-go task to investigate learning in 247 individuals across the human lifespan (7-80 years) to demonstrate that all participants, independently of age, demonstrated an influence of Pavlovian control. Computational modeling revealed peak performance in young adults was attributable to greater sensitivity to both rewards and punishment. However in children and adolescents an increased bias towards action but not reward sensitivity was observed. In contrast, reduced learning in midlife and older adults was accompanied with decreased reward sensitivity and especially punishment sensitivity. These findings reveal distinct learning capabilities across the human lifespan that cannot be probed using conventional go/reward no-go/punishment style paradigms that have important implications in life-long education.

neuroscience↗