Biology subjects

Strange, B.

Publications and source records attributed to Strange, B..

11 recordsLinked to original sources

bioRxiv2026

Hippocampal and Midbrain Function in Superagers Relates to Memory for Novelty and Expectation Violation

Memory performance typically declines with age, but the underlying neurobiological mechanisms remain unclear. Superagers, people over 80 years of age with episodic memory performance comparable to individuals 30 years younger, appear to resist this decline. Novelty and expectation violations are known to engage the hippocampus-midbrain system to enhance memory formation. Here, we examined whether superagers superior memory performance is supported by preserved hippocampal-midbrain function during novelty and expectation processing. We manipulated item and contextual novelty (i.e., expectation violations) during encoding to test whether superagers show greater mnemonic benefits than their age-matched peers, whether these benefits reflect enhanced hippocampal and midbrain functioning as measured by fMRI, and whether they are associated with preserved dopaminergic integrity measured with neuromelanin-sensitive MRI. Our results show that, although superagers demonstrated overall superior memory performance, both groups exhibited superior recognition of contextually unexpected items. Nevertheless, differences emerged in the processing of expectation during encoding. Superagers exhibited stronger hippocampal responses to expectation violations and habituation to expected events, irrespective of item novelty. Conversely, typical older adults exhibited reduced midbrain response when expected novelty was absent. Neuromelanin accumulation did not account for group differences in midbrain activity or memory performance. Taken together, these findings suggest superagers benefit from adaptive responses to expectation and its violation, which is therefore a candidate mechanism distinguishing exceptional from typical cognitive ageing. SIGNIFICANCE STATEMENTAlthough memory typically declines with age, superagers are individuals aged over 80 who maintain memory performance comparable to people 30 years younger. We examined whether preserved hippocampal-midbrain function during novelty and expectation processing could underlie their superior memory. Superagers exhibited adaptive hippocampal responses to expectation and its violation, with higher activation for unexpected events and habituation to expected events. In contrast, typical older adults showed hippocampal and midbrain responses oriented towards anticipated novel content, despite not showing differences in neuromelanin accumulation. These findings underscore the critical role of hippocampal function in supporting memory preservation in late life and advance our understanding of the neural mechanisms underlying healthy cognitive ageing.

neuroscience↗

bioRxiv2025

NAc-DBS selectively enhances memory updating without effect on retrieval

Deep brain stimulation (DBS) has emerged as a widely used therapeutic option when pharmacological treatments prove ineffective or refractory for psychiatric patients. The nucleus accumbens (NAc) represents a frequently targeted site in DBS interventions due to its demonstrated safety profile and therapeutic efficacy in obsessive-compulsive disorder, major depression, and anorexia nervosa. However, limited mechanistic understanding hampers its broader clinical applicability. This study sought to delineate the distinct behavioural dimensions modulated by NAc-DBS, its impact on distinct facets of memory, and to elucidate the underlying brain-network mechanism of action. We developed a novel spatial navigation task for rats and employed a high-dimensional behavioural analysis complemented by fMRI to dissect the cognitive, behavioural and neurobiological effects of NAc-DBS. Active NAc-DBS produced a selective enhancement of long-term memory encoding without affecting memory recall or working memory. We found no effect of NAc-DBS on motor, appetitive or stress-related behaviours. Sustained neuronal activation in the NAc, septum, entorhinal and insular cortex demonstrated no desensitization to chronic NAc-DBS, which triggered a functional reorganization among dopaminergic-related structures. These findings suggest that NAc-DBS induces a functional reorganization in the mesocorticolimbic system, potentially mimicking a dopaminergic novelty signal to enhance memory updating. This provides a mechanistic basis for the therapeutic use of NAc-DBS, particularly in improving cognitive flexibility in psychiatric disorders.

neuroscience↗

bioRxiv2024

Superagers resist typical age-related white matter structural changes

Superagers are elderly individuals with the memory ability of people 30 years younger and provide evidence that age-related cognitive decline is not inevitable. In a sample of 64 superagers (mean age 81.9; 59% women) and 55 typical older adults (mean age 82.4; 64% women) from the Vallecas Project, we studied, cross-sectionally and longitudinally over 5 years with yearly follow-ups, the global cerebral white matter status as well as region-specific white matter microstructure assessment derived from diffusivity measures. Superagers and typical older adults showed no difference in global white matter health (total white matter volume, Fazekas score, and lesions volume) cross-sectionally or longitudinally. However, analyses of diffusion parameters revealed better white matter microstructure in superagers than in typical older adults. Cross-sectional differences showed higher fractional anisotropy (FA) in superagers mostly in frontal fibres and lower mean diffusivity (MD) in most white matter tracts, expressed as an anteroposterior gradient with greater group differences in anterior tracts. FA decrease over time is slower in superagers than in typical older adults in all white matter tracts assessed, which is mirrored by MD increases over time being slower in superagers than in typical older adults in all white matter tracts except for the corticospinal tract, the uncinate fasciculus and the forceps minor. The better preservation of white matter microstructure in superagers relative to typical older adults supports resistance to age-related brain structural changes as a mechanism underpinning the remarkable memory capacity of superagers, while their regional ageing pattern is in line with the last-in-first-out hypothesis. SIGNIFICANCE STATEMENTEpisodic memory is one of the cognitive abilities most vulnerable to ageing. Although memory normally declines with age, some older people may have memory performance similar to that of people 30 years younger, and this phenomenon is often conceptualised as superageing. Understanding the superager phenotype can provide insights into mechanisms of protection against age-related memory loss and dementia. We studied the white matter structure of a large sample of 64 superagers over the age of 80 and 55 age-matched typical older adults during 5 years with yearly follow-ups showing evidence of slower age-related changes in the brains of superagers especially in protracted maturation tracts, indicating resistance to age-related changes and a regional ageing pattern in line with the last-in-first-out hypothesis.

neuroscience↗

bioRxiv2024

Retrieval of human aversive memories involves reactivation of gamma activity patterns in the hippocampus that originate in the amygdala during encoding

Emotional memories require coordinated activity of the amygdala and hippocampus. Human intracranial recordings have shown that formation of aversive memories involves an amygdala theta-hippocampal gamma phase code. Yet, the mechanisms engaged during translation of aversive experiences into memories and subsequent retrieval remain unclear. Directly recording from human amygdala and hippocampus, here we show that hippocampal gamma activity increases for correctly remembered aversive scenes, while exerting unidirectional oscillatory influence within the theta/beta frequency range on the amygdala for previously seen aversive scenes. Crucially, patterns of amygdala high amplitude gamma activity at encoding are reactivated in the hippocampus, but not amygdala, during both aversive encoding and retrieval. Trial-specific hippocampal gamma patterns showing highest representational similarity with amygdala activity at encoding are replayed in the hippocampus during aversive retrieval. This reactivation process occurs against a background of gamma activity that is otherwise decorrelated between encoding and retrieval. Thus, retrieval of aversive memories is hippocampal-centered, with hippocampal activity patterns apparently entrained by the amygdala during encoding.

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bioRxiv2023

Machine learning prediction of future amyloid beta positivity in amyloid-negative individuals

INTRODUCTIONThe pathophysiology of Alzheimers disease (AD) involves {beta}-amyloid (A{beta}) accumulation. Early identification of individuals with abnormal {beta}-amyloid levels is crucial, but A{beta} quantification with positron emission tomography (PET) and cerebrospinal fluid (CSF) is invasive and expensive. METHODSWe propose a machine learning framework using standard non-invasive (MRI, demographics, APOE, neuropsychology) measures to predict future A{beta}-positivity in A{beta}-negative individuals. We separately study A{beta}-positivity defined by PET and CSF. RESULTS: Cross-validated AUC for 4-year A{beta} conversion prediction was 0.78 for the CSF-based and 0.68 for the PET-based A{beta} definitions. Although not trained for the clinical status-change prediction, the CSF-based model excelled in predicting future mild cognitive impairment (MCI)/dementia conversion in cognitively normal/MCI individuals (AUCs, respectively, 0.76 and 0.89 with a separate dataset). DISCUSSIONStandard measures have potential in detecting future A{beta}-positivity and assessing conversion risk, even in cognitively normal individuals. The CSF-based definition led to better predictions than the PET-based definition.

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bioRxiv2023

Hippocampal sclerosis of aging at post-mortem is evident on MRI more than a decade prior

INTRODUCTIONHippocampal sclerosis of aging (HS) is an important component of combined dementia neuropathology. However, the temporal evolution of its histologically-defined features is unknown. We investigated pre-mortem longitudinal hippocampal atrophy associated with HS, as well as with other dementia-associated pathologies. METHODSWe analyzed hippocampal volumes from MRI segmentations in 64 dementia patients with longitudinal MRI follow-up and post-mortem neuropathological evaluation, including HS assessment in the hippocampal head and body. RESULTSSignificant HS-associated hippocampal volume changes were observed thoughout the evaluated timespan, up to 11.75 years before death. These changes were independent of age and Alzheimers Disease (AD) burden, and specifically driven by CA1 and subiculum. AD burden, but not HS, significantly associated with the rate of hippocampal atrophy. DISCUSSIONHS-associated volume changes are detectable on MRI earlier than 10 years before death. These findings could contribute to the derivation of volumetric cut-offs for in vivo differentiation between HS and AD.

neuroscience↗

bioRxiv2022

A novel histological staging of hippocampal sclerosis that is evident in grey matter loss in vivo.

INTRODUCTIONHippocampal sclerosis of aging (HS) is defined by end-stage histological findings, strongly associated with limbic-predominant age-related TDP-43 encephalopathy (LATE). We aimed to characterize features of early HS to refine the understanding of its role within combined pathology. METHODSWe studied 159 brain donations from the multimodal Vallecas Alzheimers Center Study. A staging system (0 to IV) was developed to account for HS progression and analyzed in relation to pre-mortem cognitive and MRI data. RESULTSOur HS staging system displayed a significant correlation with disease duration, cognitive performance and combined neuropathologies, especially with LATE. Two-level assessment along the hippocampal longitudinal axis revealed an anterior-posterior gradient of HS severity. In vivo MRI showed focally reduced hippocampal grey matter density as a function of HS staging. DISCUSSIONThe association of this staging system with clinical progression and structural differences supports its utility in the characterization and potential in vivo monitoring of HS.

neuroscience↗

bioRxiv2022

A hippocampal-anterior thalamic circuit associated with learning rate in ageing

Memory normally declines with ageing and these age-related cognitive changes are associated with changes in brain structure. Episodic memory retrieval has been widely studied during ageing, whereas learning has received less attention. Here we examined the neural correlates of episodic learning rate in ageing. Our study sample consisted of 982 cognitively healthy female and male older participants from the Vallecas Project cohort, without a clinical diagnosis of mild cognitive impairment or dementia. The learning rate across the three consecutive recall trials of the verbal memory task (Free and Cued Selective Reminding Test) recall trials was used as a predictor of grey matter (GM) using voxel-based morphometry, and WM microstructure using tract-based spatial statistics on fractional anisotropy (FA) and mean diffusivity (MD) measures. Immediate Recall improved by 1.4 items per trial on average, and this episodic learning rate was faster in women and negatively associated with age. Structurally, hippocampal and anterior thalamic GM volume correlated positively with learning rate. Learning also correlated with the integrity of WM microstructure (high FA and low MD) in an extensive network of tracts including bilateral anterior thalamic radiation, fornix, and long-range tracts. These results suggest that episodic learning rate is associated with key anatomical structures for memory functioning, motivating further exploration of the differential diagnostic properties between episodic learning rate and retrieval in ageing.

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bioRxiv2022

APOE ε4 effects on hippocampal atrophy in the healthy elderly reflect future cognitive decline

The APOE {varepsilon}4 allele is the primary genetic risk factor for late onset Alzheimers disease (AD). A cardinal problem in determining APOE {varepsilon}4s effect on cognition and brain structure in older individuals is dissociating prodromal changes - linked to increased AD risk - from potential phenotypic differences. To address this, we used cognitive and neuroimaging data from a large cohort of cognitively normal 69-86 year-olds with up to 8 yearly follow-ups to investigate cross-sectional and longitudinal differences between APOE {varepsilon}3/{varepsilon}3 homozygotes and {varepsilon}3/{varepsilon}4 heterozygotes. Although we found a significant age-by-genotype interaction in right hippocampal volume, once our analyses were conditionalised by future diagnosis to account for prodromal mild cognitive impairment (MCI) and AD, this effect was no longer observed. Likewise, longitudinally, rate of hippocampal atrophy was determined not by genotype, but by future diagnosis. Thus, we provide direct evidence in support of the prodromal hypothesis of APOE {varepsilon}4 on brain structure.

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bioRxiv2020

Predicting the future development of mild cognitive impairment in the cognitively healthy elderly

Identifying measures that predict future cognitive impairment in healthy individuals is necessary to inform treatment strategies for candidate dementia-preventative and modifying interventions. Here, we derive such measures by studying "converters" who transitioned from cognitively normal at baseline to mild-cognitive impairment (MCI) in a longitudinal study of 1213 elderly participants. We first establish reduced grey matter density (GMD) in left entorhinal cortex (EC) as a biomarker for impending cognitive decline in healthy individuals, employing a matched sampling control for several dementia risk-factors, thereby mitigating the potential effects of bias on our statistical tests. Next, we determine the predictive performance of baseline demographic, genetic, neuropsychological and MRI measures by entering these variables into an elastic net-regularized classifier. Our trained statistical model classified converters and controls with validation Area-Under-the-Curve>0.9, identifying only delayed verbal memory and left EC GMD as relevant predictors for classification. This performance was maintained on test classification of out-of-sample converters and controls. Our results suggest a parsimonious but powerful predictive model for MCI development in the cognitively healthy elderly.

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bioRxiv2020

Deep Brain Stimulation: Imaging on a group level

Deep Brain Stimulation (DBS) is an established treatment option for movement disorders and is investigated to treat a growing number of other brain disorders. It has been shown that DBS effects are highly dependent on exact electrode placement, which is especially important when probing novel indications or stereotactic targets. Thus, considering precise electrode placement is crucial when investigating efficacy of DBS targets. To measure clinical improvement as a function of electrode placement, neuroscientific methodology and specialized software tools are needed. Such tools should have the goal to make electrode placement comparable across patients and DBS centers, and include statistical analysis options to validate and define optimal targets. Moreover, to allow for comparability across different research sites, these need to be performed within an algorithmically and anatomically standardized and openly available group space. With the publication of Lead-DBS software in 2014, an open-source tool was introduced that allowed for precise electrode reconstructions based on pre- and postoperative neuroimaging data. Here, we introduce Lead Group, implemented within the Lead-DBS environment and specifically designed to meet aforementioned demands. In the present article, we showcase the various processing streams of Lead Group in a retrospective cohort of 51 patients suffering from Parkinsons disease, who were implanted with DBS electrodes to the subthalamic nucleus (STN). Specifically, we demonstrate various ways to visualize placement of all electrodes in the group and map clinical improvement values to subcortical space. We do so by using active coordinates and volumes of tissue activated, showing converging evidence of an optimal DBS target in the dorsolateral STN. Second, we relate DBS outcome to the impact of each electrode on local structures by measuring overlap of stimulation volumes with the STN. Finally, we explore the software functions for connectomic mapping, which may be used to relate DBS outcomes to connectivity estimates with remote brain areas. We isolate a specific fiber bundle - which structurally resembles the hyperdirect pathway - that is associated with good clinical outcome in the cohort. The manuscript is accompanied by a walkthrough tutorial through which users are able to reproduce all main results presented in the present manuscript. All data and code needed to reproduce results are openly available. HighlightsO_LIWe present a novel toolbox to carry out DBS imaging analyses on a group-level C_LIO_LIGroup electrodes are visualized in 2D and 3D and related to clinical regressors C_LIO_LIA favorable target and connectivity profiles for the treatment of PD are validated C_LI

neuroscience↗