Publications by authors named "Jessica N Kraft"

Dopamine (DA) signaling is critical for optimal cognitive aging, especially in prefrontal-parietal and fronto-striatal networks. Single nucleotide polymorphisms associated with dopamine regulation, COMTVal158Met and DRD2C957T, stand to exert influence on executive function performance via neural properties. The current study investigated whether longitudinal thinning of mesocortical regions is related to COMT and DRD2 genetic predisposition and associated with decline in executive function over four-years.

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  • The corpus callosum consists of distinct subregions, each potentially affected differently by aging and cardiovascular health factors.
  • A study involving 174 adults analyzed how aging and pulse pressure impact the microstructural integrity of these subregions using advanced imaging techniques.
  • Results showed that while aging negatively affects callosal health, the anticipated gradient of vulnerability along the corpus callosum is altered by cardiovascular risk, particularly elevated pulse pressure.
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  • Cognitive training with the Useful Field of View (UFOV) task can reduce dementia risk and improve daily living activities in older adults, but results vary among different studies.
  • This study examined how learning from verbal and visuospatial memory tasks (HVLT-R and BVMT-R) affects outcomes from a UFOV task called Double Decision after a 3-month cognitive training intervention.
  • Findings revealed that older adults who struggled more with BVMT-R showed significant improvements in the Double Decision task, suggesting that those with lower baseline visuospatial abilities may benefit the most from speed-of-processing cognitive training.
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Background: Pharmacological interventions for depression and anxiety in older adults often have significant side effects, presenting the need for more tolerable alternatives. Transcranial direct current stimulation (tDCS) is a promising non-pharmacological intervention for depression in clinical populations. However, its effects on depression and anxiety symptoms, particularly in older adults from the general public, are understudied.

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  • - Non-pathological aging leads to declines in cognitive functions, especially processing speed, making it a critical public health concern as the older adult population grows rapidly.
  • - Studies indicate that cognitive training and transcranial direct current stimulation (tDCS) can significantly enhance cognition in older adults, focusing on attention and working memory.
  • - This research shows that when combined, active tDCS and cognitive training improve functional brain connectivity and potentially enhance cognitive performance, more so than cognitive training alone.
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Background: Person-specific computational models can estimate transcranial direct current stimulation (tDCS) current dose delivered to the brain and predict treatment response. Artificially created electrode models derived from virtual 10-20 EEG measurements are typically included in these models as current injection and removal sites. The present study directly compares current flow models generated via artificially placed electrodes ("artificial" electrode models) against those generated using real electrodes acquired from structural MRI scans ("real" electrode models) of older adults.

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Limited research exists on the association between resting-state functional network connectivity in the brain and learning and memory processes in advanced age. This study examined within-network connectivity of cingulo-opercular (CON), frontoparietal control (FPCN), and default mode (DMN) networks, and verbal and visuospatial learning and memory in older adults. Across domains, we hypothesized that greater CON and FPCN connectivity would associate with better learning, and greater DMN connectivity would associate with better memory.

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Minimizing head motion during functional magnetic resonance imaging (fMRI) is important for maintaining the integrity of neuroimaging data. While there are a variety of techniques to control for head motion, oftentimes, individuals with excessive in-scanner motion are removed from analyses. Movement in the scanner tends to increase with age; however, the cognitive profile of these "high-movers" in older adults has yet to be explored.

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Background: There is a need for effective interventions to stave off cognitive decline in older adults. Cognitive training has variably produced gains in untrained tasks and daily functioning. Combining cognitive training with transcranial direct current stimulation (tDCS) may augment cognitive training effects; however, this approach has yet to be tested on a large-scale.

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Older adults are at a greater risk for contracting and experiencing severe illness from COVID-19 and may be further affected by pandemic-related precautions (e.g., social distancing and isolation in quarantine).

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Declines in processing speed performance occur in aging and are a critical marker of functional independence in older adults. Numerous studies suggest that Useful Field of View (UFOV) training may ameliorate cognitive decline in older adults. Despite its efficacy, little is known about the neural correlates of this task.

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Cognitive training has shown promise for improving cognition in older adults. Age-related neuroanatomical changes may affect cognitive training outcomes. White matter hyperintensities are one common brain change in aging reflecting decreased white matter integrity.

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Prior randomized control trials have shown that cognitive training interventions resulted in improved proximal task performance, improved functioning of activities of daily living, and reduced dementia risk in healthy older adults. Neural correlates implicated in cognitive training include hub brain regions of higher-order resting state networks including the default mode network, dorsal attention network, frontoparietal control network, and cingulo-opercular network. However, little is known about resting state network change after cognitive training, or the relation between functional brain changes and improvement in proximal task performance.

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Executive function is a cognitive domain that typically declines in non-pathological aging. Two cognitive control networks that are vulnerable to aging-the cingulo-opercular (CON) and fronto-parietal control (FPCN) networks-play a role in various aspects of executive functioning. However, it is unclear how communication within these networks at rest relates to executive function subcomponents in older adults.

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This study examines the impact of transcranial direct current stimulation (tDCS) combined with cognitive training on neurotransmitter concentrations in the prefrontal cortex. Twenty-three older adults were randomized to either active-tDCS or sham-tDCS in combination with cognitive training for 2 weeks. Active-tDCS was delivered over F3 (cathode) and F4 (anode) electrode placements for 20 min at 2 mA intensity.

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Declines in processing speed performance occur in aging and are a critical marker of functional independence in older adults. Studies suggest that Useful Field of View (UFOV) training may ameliorate cognitive decline. Despite its efficacy, little is known about the neural correlates of this task.

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Speed-of-processing abilities decline with age yet are important in performing instrumental activities of daily living. The useful field of view, or Double Decision task, assesses speed-of-processing and divided attention. Performance on this task is related to attention, executive functioning, and visual processing abilities in older adults, and poorer performance predicts more motor vehicle accidents in the elderly.

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Background: Working memory decline has been associated with normal aging. The frontal brain structure responsible for this decline is primarily located in the prefrontal cortex (PFC). Our previous neuroimaging study demonstrated a significant change in functional connectivity between the left dorsolateral PFC (DLPFC) and left ventrolateral PFC (VLPFC) when applying 2 mA tDCS in MRI scanner during an N-Back task.

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Frontal lobe structures decline faster than most other brain regions in older adults. Age-related change in the frontal lobe is associated with poorer executive function (e.g.

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: The association between hippocampal volume and memory is continuing to be characterized in healthy older adults. Prior research suggests smaller hippocampal volume in healthy older adults is associated with poorer episodic memory and processing speed, as well as working memory, verbal learning, and executive functioning as measured by the NIH Toolbox Fluid (Fluid Cognition Composite, FCC) and Crystalized Cognition Composites (CCC). This study aimed to replicate these findings and to evaluate the association between: (1) hippocampal asymmetry index and cognition; and (2) independent contributions of the left and right hippocampal volume and cognition in a large sample of healthy older adults.

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Age-related differences in dorsolateral prefrontal cortex (DLPFC) structure and function have each been linked to working memory. However, few studies have integrated multimodal imaging to simultaneously investigate relationships among structure, function, and cognition. We aimed to clarify how specifically DLPFC structure and function contribute to working memory in healthy older adults.

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Article Synopsis
  • * The study examines the relationship between brain structure and speed of processing in older adults, analyzing cortical volumes and performance on a specific cognitive task called the POSIT Double Decision.
  • * Results indicate that reduced thickness in several brain areas, particularly in the right hemisphere, is linked to worse performance on the Double Decision task, highlighting the complexity of the neural underpinnings of speed of processing.
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  • Transcranial direct current stimulation (tDCS) is being studied for its potential to enhance cognitive function in older adults, and this pilot study explores how to personalize its effects based on individual differences in brain response.
  • Fourteen healthy older adults participated in a two-week cognitive training program while receiving tDCS, and their performance on a working memory task was analyzed using machine learning algorithms to predict treatment outcomes.
  • The results showed an impressive 86% accuracy in identifying which participants would benefit from tDCS, highlighting that both the intensity and direction of the electric current significantly influence cognitive improvements.
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Aging is associated with disruptions in the resting-state functional architecture of the brain. Previous studies have primarily focused on age-related declines in the default mode network (DMN) and its implications in Alzheimer's disease. However, due to mixed findings, it is unclear if changes in resting-state network functional connectivity are linked to cognitive decline in healthy older adults.

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