Linking the impact of aging on visual short-term memory capacity with changes in the structural connectivity of posterior thalamus to occipital cortices

Menegaux, Aurore; Bäuerlein, Felix J.B.; Vania, A.; Napiórkowski, Natan; Neitzel, Julia; Ruiz‐Rizzo, Adriana L.; Müller, Hermann J.; Sorg, Christian; Finke, Kathrin

doi:10.1016/j.neuroimage.2019.116440

Cited by 9 publications

(10 citation statements)

References 112 publications

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“…The right occipital pole is part of the occipital cortex. The fractional anisotropy (FA) of its connecting bundle with the thalamus decreases significantly with age, which affects visual short-term memory ability (Menegaux et al, 2019 , 2020 ). Some experiments have shown that with an increase in working memory load, young people can activate the default mode network (DMN) region faster than old people.…”

Section: Discussionmentioning

confidence: 99%

Age-Related Changes in Micro Brain Characteristics Based on Relaxed Mean-Field Model

Zhan

Zheng

Yang

et al. 2022

Front. Aging Neurosci.

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Brain health is an important research direction of neuroscience. In addition to the effects of diseases, we cannot ignore the negative effect of aging on brain health. There have been many studies on brain aging, but only a few have used dynamic models to analyze differences in micro brain characteristics in healthy people. In this article, we use the relaxed mean-field model (rMFM) to study the effects of normal aging. Two main parameters of this model are the recurrent connection strength and subcortical input strength. The sensitivity of the rMFM to the initial values of the parameters has not been fully discussed in previous research. We examine this issue through repeated numerical experiments and obtain a reasonable initial parameter range for this model. Differences in recurrent connection strength and subcortical input strength due to aging have also not been studied previously. We use statistical methods to find the regions of interest (ROIs) exhibiting significant differences between young and old groups. Further, we carry out a difference analysis on the process of change of these ROIs on a more detailed timescale. We find that even with the same final results, the trends of change in these ROIs are different. This shows that to develop possible methods to prevent or delay brain damage due to aging, more attention needs to be paid to the trends of change of different ROIs, not just the final results.

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Section: Discussionmentioning

confidence: 99%

Age-Related Changes in Micro Brain Characteristics Based on Relaxed Mean-Field Model

Zhan

Zheng

Yang

et al. 2022

Front. Aging Neurosci.

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“…Individuals with AGU are likely to have deficits in executive functioning and slowed processing speed. 24 , 25 , 26 , 27 …”

Section: Introductionmentioning

confidence: 99%

“…This finding may correlate with the neuropsychological functioning of these individuals as the pulvinar nuclei play an important role in attention and executive functioning. Individuals with AGU are likely to have deficits in executive functioning and slowed processing speed 24–27 …”

Section: Introductionmentioning

confidence: 99%

“…Individuals with AGU are likely to have deficits in executive functioning and slowed processing speed. [24][25][26][27] Although the phenotype is well described in the Finnish population, clinical progression in non-Finnish patients has not been adequately characterized and biomarkers of neurological functioning are limited. To address knowledge gaps of the effects of ethnic diversity on the natural clinical progression of AGU and to explore potential clinical outcome measures for future clinical trials, we conducted a cross-sectional natural history study of a cohort of AGU patients of varied ethnic background and genotype.…”

Section: Introductionmentioning

confidence: 99%

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A cross‐sectional natural history study of aspartylglucosaminuria

et al. 2022

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Aspartylglucosaminuria (AGU) is a rare lysosomal storage disorder that causes stagnation of development in adolescence and neurodegeneration in early adulthood. Precision therapies, including gene transfer therapy, are in development with a goal of taking advantage of the slow clinical course. Understanding of disease natural history and identification of disease‐relevant biomarkers are important steps in clinical trial readiness. We describe the clinical features of a diverse population of patients with AGU, including potential imaging and electrophysiological biomarkers. This is a single‐center, cross‐sectional study of the clinical, neuropsychological, electrophysiological, and imaging characteristics of AGU. A comprehensive assessment of eight participants (5 Non‐Finnish) revealed a mean non‐verbal IQ (NVIQ) of 70.25 ± 10.33 which decreased with age (rs = −0.85, p = 0.008). All participants demonstrated deficits in communication and gross/fine motor dysfunction. Auditory and visual evoked potentials demonstrated abnormalities in one or both modalities in 7 of 8 subjects, suggesting sensory pathway dysfunction. Brain imaging demonstrated T2 FLAIR hypointensity in the pulvinar nuclei and cerebral atrophy, as previously shown in the Finnish AGU population. Magnetic resonance spectroscopy (MRS) showed a 5.1 ppm peak corresponding to the toxic substrate (GlcNAc‐Asn), which accumulates in AGU. Our results showed there was no significant difference between Finnish and Non‐Finnish patients, and performance on standardized cognitive and motor testing was similar to prior studies. Age‐related changes on functional assessments and disease‐relevant abnormalities on surrogate biomarkers, such as MRS, could be used as outcome measures in a clinical trial.

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“…Another factor that can contribute to STM decay is the negative impact of divided attention, or dual-tasking, which increases with aging (Castel & Craik, 2003; Craik & McDowd, 1987; Verhaeghen et al, 2003). Neuroimaging studies have associated age-related decrements in visual STM with reduced connectivity between the posterior thalamus and occipital cortices (Menegaux et al, 2020) and deficits in source STM (i.e. memory for context) with reduced activity in the left lateral prefrontal cortex (K.…”

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confidence: 99%

Investigating the impact of age on auditory short-term, long-term, and working memory

Fernández-Rubio

Olsen

Klarlund

et al. 2023

Psychology of Music

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Cognitive aging is characterized by the gradual decline of a number of abilities, such as attention, executive functioning, and memory. Research on memory aging has reported age-related deficits in short-term (STM), long-term (LTM), and working memory (WM) and linked these to structural and functional changes in the brain that occur with aging. However, only a few studies have drawn direct comparisons between these memory subsystems in the auditory domain. In this study, we assessed auditory STM, LTM, and WM abilities of young (under 25 years of age) and older (over 60 years of age) adults using musical and numerical tasks. In addition, we measured musical training history and tested its modulating effects on auditory memory performance. Overall, we found that older adults underperformed in specific memory tasks, such as STM related to discrimination of rhythmic sequences, LTM associated with identification of novel musical sequences, and numerical WM. Furthermore, we observed a positive influence of musical training on certain memory tasks involving music. In conclusion, aging differentially affects several types of auditory memory, and in the case of specific musical memory tasks, a higher level of musical training provides significant advantages.

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Linking the impact of aging on visual short-term memory capacity with changes in the structural connectivity of posterior thalamus to occipital cortices

Cited by 9 publications

References 112 publications

Age-Related Changes in Micro Brain Characteristics Based on Relaxed Mean-Field Model

Age-Related Changes in Micro Brain Characteristics Based on Relaxed Mean-Field Model

A cross‐sectional natural history study of aspartylglucosaminuria

Investigating the impact of age on auditory short-term, long-term, and working memory

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