scholarly journals Functional and structural correlates of the aging brain: Relating visual cortex (V1) gamma band responses to age‐related structural change

2011 ◽  
Vol 33 (9) ◽  
pp. 2035-2046 ◽  
Author(s):  
William Gaetz ◽  
Timothy P.L. Roberts ◽  
Krish D. Singh ◽  
Suresh D. Muthukumaraswamy
Keyword(s):  
Visual Cortex ◽  
Structural Change ◽  
Gamma Band ◽  
Aging Brain ◽  
Age Related

scholarly journals Susceptibility to capillary plugging can predict brain region specific vessel loss with aging

2020 ◽  
Vol 40 (12) ◽  
pp. 2475-2490 ◽  
Author(s):  
Ben Schager ◽  
Craig E Brown
Keyword(s):  
Visual Cortex ◽  
White Matter ◽  
Regional Differences ◽  
Grey Matter ◽  
Anterior Cerebral Artery ◽  
Cerebral Arteries ◽  
Brain Regions ◽  
Aging Brain ◽  
Age Related ◽  
Vessel Width

Vessel loss in the aging brain is commonly reported, yet important questions remain concerning whether there are regional vulnerabilities and what mechanisms could account for these regional differences, if they exist. Here we imaged and quantified vessel length, tortuosity and width in 15 brain regions in young adult and aged mice. Our data indicate that vessel loss was most pronounced in white matter followed by cortical, then subcortical grey matter regions, while some regions (visual cortex, amygdala, thalamus) showed no decline with aging. Regions supplied by the anterior cerebral artery were more vulnerable to loss than those supplied by middle or posterior cerebral arteries. Vessel width and tortuosity generally increased with age but neither reliably predicted regional vessel loss. Since capillaries are naturally prone to plugging and prolonged obstructions often lead to vessel pruning, we hypothesized that regional susceptibilities to plugging could help predict vessel loss. By mapping the distribution of microsphere-induced capillary obstructions, we discovered that regions with a higher density of persistent obstructions were more likely to show vessel loss with aging and vice versa. These findings indicate that age-related vessel loss is region specific and can be explained, at least partially, by regional susceptibilities to capillary plugging.

scholarly journals Neural distinctiveness declines with age in auditory cortex and is associated with auditory GABA levels

2018 ◽  
Author(s):  
Poortata Lalwani ◽  
Holly Gagnon ◽  
Kaitlin Cassady ◽  
Molly Simmonite ◽  
Scott Peltier ◽  
...  
Keyword(s):  
Older Adults ◽  
Visual Cortex ◽  
Individual Differences ◽  
Magnetic Resonance ◽  
Auditory Cortex ◽  
Aging Brain ◽  
Resonance Spectroscopy ◽  
Younger Adults ◽  
Activation Patterns ◽  
Age Related

AbstractNeural activation patterns in the ventral visual cortex in response to different categories of visual stimuli (e.g., faces vs. houses) are less selective, or distinctive, in older adults than in younger adults, a phenomenon known as age-related neural dedifferentiation. Previous work in animals suggests that age-related reductions of the inhibitory neurotransmitter, gamma aminobutyric acid (GABA), may play a role in this age-related decline in neural distinctiveness. In this study, we investigated whether neural dedifferentiation extends to auditory cortex and whether individual differences in GABA are associated with individual differences in neural distinctiveness in humans. 20 healthy young adults (ages 18-29) and 23 healthy older adults (over 65) completed a functional magnetic resonance imaging (fMRI) scan, during which neural activity was estimated while they listened to foreign speech and music. GABA levels in the auditory, ventrovisual and sensorimotor cortex were estimated in the same individuals in a separate magnetic resonance spectroscopy (MRS) scan. Relative to the younger adults, the older adults exhibited both (1) less distinct activation patterns for music vs. speech stimuli and (2) lower GABA levels in the auditory cortex. Also, individual differences in auditory GABA levels (but not ventrovisual or sensorimotor GABA levels) predicted individual differences in neural distinctiveness in the auditory cortex in the older adults. These results demonstrate that age-related neural dedifferentiation extends to the auditory cortex and suggest that declining GABA levels may play a role in neural dedifferentiation in older adults.Significance StatementPrior work has revealed age-related neural dedifferentiation in the visual cortex. GABA levels also decline with age in several parts of the human cortex. Here, we report that these two age-related changes are linked; neural dedifferentiation is associated with lower GABA levels in older adults. We also show that age-related neural dedifferentiation extends to auditory cortex, suggesting that it may be a general feature of the aging brain. These findings provide novel insights into the neurochemical basis of age-related neural dedifferentiation in humans and also offer a potential new avenue for investigating age-related declines in central auditory processing.

scholarly journals A Practical Guide to Sparse k-Means Clustering for Studying Molecular Development of the Human Brain

2021 ◽  
Vol 15 ◽  
Author(s):  
Justin L. Balsor ◽  
Keon Arbabi ◽  
Desmond Singh ◽  
Rachel Kwan ◽  
Jonathan Zaslavsky ◽  
...  
Keyword(s):  
Visual Cortex ◽  
Human Brain ◽  
Small Sample ◽  
Postmortem Brain ◽  
High Dimensional ◽  
Clustering Methods ◽  
Sample Sizes ◽  
Human Visual Cortex ◽  
Age Related ◽  
Postmortem Brain Tissue

Studying the molecular development of the human brain presents unique challenges for selecting a data analysis approach. The rare and valuable nature of human postmortem brain tissue, especially for developmental studies, means the sample sizes are small (n), but the use of high throughput genomic and proteomic methods measure the expression levels for hundreds or thousands of variables [e.g., genes or proteins (p)] for each sample. This leads to a data structure that is high dimensional (p ≫ n) and introduces the curse of dimensionality, which poses a challenge for traditional statistical approaches. In contrast, high dimensional analyses, especially cluster analyses developed for sparse data, have worked well for analyzing genomic datasets where p ≫ n. Here we explore applying a lasso-based clustering method developed for high dimensional genomic data with small sample sizes. Using protein and gene data from the developing human visual cortex, we compared clustering methods. We identified an application of sparse k-means clustering [robust sparse k-means clustering (RSKC)] that partitioned samples into age-related clusters that reflect lifespan stages from birth to aging. RSKC adaptively selects a subset of the genes or proteins contributing to partitioning samples into age-related clusters that progress across the lifespan. This approach addresses a problem in current studies that could not identify multiple postnatal clusters. Moreover, clusters encompassed a range of ages like a series of overlapping waves illustrating that chronological- and brain-age have a complex relationship. In addition, a recently developed workflow to create plasticity phenotypes (Balsor et al., 2020) was applied to the clusters and revealed neurobiologically relevant features that identified how the human visual cortex changes across the lifespan. These methods can help address the growing demand for multimodal integration, from molecular machinery to brain imaging signals, to understand the human brain’s development.

scholarly journals Electrophysiological signatures of brain aging in autism spectrum disorder

2021 ◽  
Author(s):  
Abigail Dickinson ◽  
Shafali Jeste ◽  
Elizabeth Milne
Keyword(s):  
Autism Spectrum Disorder ◽  
Brain Aging ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Aging Brain ◽  
Significant Group ◽  
Care Plans ◽  
Alpha Frequency ◽  
Age Related ◽  
Adults With Asd

AbstractEmerging 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 brain’s 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.

scholarly journals Thalamic inputs determine functionally distinct gamma bands in mouse primary visual cortex

2020 ◽  
Author(s):  
Nicolò Meneghetti ◽  
Chiara Cerri ◽  
Elena Tantillo ◽  
Eleonora Vannini ◽  
Matteo Caleo ◽  
...  
Keyword(s):  
Visual Cortex ◽  
Primary Visual Cortex ◽  
Visual Information ◽  
Narrow Band ◽  
Broad Band ◽  
Gamma Band ◽  
Neuron Network ◽  
Sensory Stimuli ◽  
Thalamic Input ◽  
Visual Contrast

AbstractGamma band is known to be involved in the encoding of visual features in the primary visual cortex (V1). Recent results in rodents V1 highlighted the presence, within a broad gamma band (BB) increasing with contrast, of a narrow gamma band (NB) peaking at ∼60 Hz suppressed by contrast and enhanced by luminance. However, the processing of visual information by the two channels still lacks a proper characterization. Here, by combining experimental analysis and modeling, we prove that the two bands are sensitive to specific thalamic inputs associated with complementary contrast ranges. We recorded local field potentials from V1 of awake mice during the presentation of gratings and observed that NB power progressively decreased from low to intermediate levels of contrast. Conversely, BB power was insensitive to low levels of contrast but it progressively increased going from intermediate to high levels of contrast. Moreover, BB response was stronger immediately after contrast reversal, while the opposite held for NB. All the aforementioned dynamics were accurately reproduced by a recurrent excitatory-inhibitory leaky integrate-and-fire network, mimicking layer IV of mouse V1, provided that the sustained and periodic component of the thalamic input were modulated over complementary contrast ranges. These results shed new light on the origin and function of the two V1 gamma bands. In addition, here we propose a simple and effective model of response to visual contrast that might help in reconstructing network dysfunction underlying pathological alterations of visual information processing.Significance StatementGamma band is a ubiquitous hallmark of cortical processing of sensory stimuli. Experimental evidence shows that in the mouse visual cortex two types of gamma activity are differentially modulated by contrast: a narrow band (NB), that seems to be rodent specific, and a standard broad band (BB), observed also in other animal models.We found that narrow band correlates and broad band anticorrelates with visual contrast in two complementary contrast ranges (low and high respectively). Moreover, BB displayed an earlier response than NB. A thalamocortical spiking neuron network model reproduced the aforementioned results, suggesting they might be due to the presence of two complementary but distinct components of the thalamic input into visual cortical circuitry.

scholarly journals The aging mind: neuroplasticity in response to cognitive training

2013 ◽  
Vol 15 (1) ◽  
pp. 109-119 ◽  
Keyword(s):  
Cognitive Function ◽  
Cognitive Training ◽  
Neural Plasticity ◽  
Cognitive Effort ◽  
Aging Brain ◽  
Cognitive Domains ◽  
Training Techniques ◽  
Age Related ◽  
Strategy Change ◽  
The Brain

Is it possible to enhance neural and cognitive function with cognitive training techniques? Can we delay age-related decline in cognitive function with interventions and stave off Alzheimer's disease? Does an aged brain really have the capacity to change in response to stimulation? In the present paper, we consider the neuroplasticity of the aging brain, that is, the brain's ability to increase capacity in response to sustained experience. We argue that, although there is some neural deterioration that occurs with age, the brain has the capacity to increase neural activity and develop neural scaffolding to regulate cognitive function. We suggest that increase in neural volume in response to cognitive training or experience is a clear indicator of change, but that changes in activation in response to cognitive training may be evidence of strategy change rather than indicative of neural plasticity. We note that the effect of cognitive training is surprisingly durable over time, but that the evidence that training effects transfer to other cognitive domains is relatively limited. We review evidence which suggests that engagement in an environment that requires sustained cognitive effort may facilitate cognitive function.

Neuroimaging Approaches for Elderly Studies

2017 ◽  
pp. 1576-1617
Author(s):  
Charis Styliadis ◽  
Panagiotis Kartsidis ◽  
Evangelos Paraskevopoulos
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Structure And Function ◽  
Cognitive Capacity ◽  
Aging Brain ◽  
Cerebral Structure ◽  
Age Related ◽  
Elderly Populations ◽  
And Function ◽  
Age Related Changes

Advances in the field of neuroimaging have allowed for the examination of the effects of age-related changes on cognitive capacity in elderly populations. Structural techniques are now routinely used to report cortical atrophic rates in aging and particularly within the context of the Alzheimer's disease, and may be integrated with functional techniques which examine the functional characteristics of the cortex at rest and during the performance of a task. Despite advancing age cognitive function remains highly plastic, allowing for interventions that aim to maintain or even remediate its capacity and the mechanisms by which structure and function are altered among seniors. Overall, information on the integrity of the cerebral structure and function aid in the early detection and treatment of the Alzheimer's disease as well as the evaluation and track of the disease's progression. In this chapter, neuroimaging methods are presented along with findings that are particularly relevant for the study of neuroplasticity in the aging brain.

scholarly journals Advanced Aging Enhances the Positivity Effect in Memory: Due to Cognitive Control or Age-Related Decline in Emotional Processing?

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Michiko Sakaki ◽  
Jasmine A. L. Raw ◽  
Jamie Findlay ◽  
Mariel Thottam
Keyword(s):  
Older Adults ◽  
Cognitive Control ◽  
Emotional Processing ◽  
Aging Brain ◽  
Control Mechanisms ◽  
Younger Adults ◽  
Positivity Effect ◽  
Old Adults ◽  
Age Related ◽  
Conditioned Responses

Older adults typically remember more positive than negative information compared to their younger counterparts; a phenomenon referred to as the ‘positivity effect.’ According to the socioemotional selectivity theory (SST), the positivity effect derives from the age-related motivational shift towards attaining emotionally meaningful goals which become more important as the perception of future time becomes more limited. Cognitive control mechanisms are critical in achieving such goals and therefore SST predicts that the positivity effect is associated with preserved cognitive control mechanisms in older adults. In contrast, the aging-brain model suggests that the positivity effect is driven by an age-related decline in the amygdala which is responsible for emotional processing and emotional learning. The aim of the current research was to address whether the age-related positivity effect is associated with cognitive control or impaired emotional processing associated with aging. We included older old adults, younger old adults and younger adults and tested their memory for emotional stimuli, cognitive control and amygdala-dependent fear conditioned responses. Consistent with prior research, older adults, relative to younger adults, demonstrate better memory for positive over negative images. We further found that within a group of older adults, the positivity effect increases as a function of age, such that older old adults demonstrated a greater positivity effect compared to younger older adults. Furthermore, the positivity effect in older old adults was associated with preserved cognitive control, supporting the prediction of SST. Contrary to the prediction of the aging-brain model, participants across all groups demonstrated similar enhanced skin conductance responses to fear conditioned stimuli – responses known to rely on the amygdala. Our results support SST and suggest that the positivity effect in older adults is achieved by the preserved cognitive control mechanisms and is not a reflection of the impaired emotional function associated with age.

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