On Attentional Control and the Aging Driver

2013 ◽  
pp. 20-32 ◽  
Author(s):  
Jason M. Watson ◽  
Ann E. Lambert ◽  
Joel M. Cooper ◽  
Istenya V. Boyle ◽  
David L. Strayer
Keyword(s):  
Reaction Time ◽  
Cognitive Aging ◽  
Attentional Control ◽  
Cognitive Theory ◽  
Motor Vehicle ◽  
Age Related ◽  
Frontal Lobe Function ◽  
Age Deficits ◽  
Age Related Changes ◽  
Lead Vehicle

Theories of cognitive aging suggest diminished frontal lobe function and reduced attentional control could contribute to age-related changes in driving a motor vehicle. To address this possibility, the authors investigated the interrelationship among age, attentional control, and driving performance. Using a high-fidelity simulator, they measured individual differences in participants’ abilities to maintain a prescribed following distance behind a lead vehicle, as well as their reaction time to press a brake pedal when this lead vehicle braked. Consistent with the literature on age-related changes in driving, following distance elongated with increased age, and brake reaction time slowed. Furthermore, regression analyses revealed the increase in following distance and the slowing in brake reaction time both co-varied with age deficits in attentional control. These results provide a novel demonstration of the inherent value of cognitive theory when applied to naturalistic settings, sharpening our understanding of the relevance of age-related deficits in attentional control for complex, real-world tasks like driving.

scholarly journals Age-Related Structural and Functional Changes of the Hippocampus and the Relationship with Inhibitory Control

2020 ◽  
Vol 10 (12) ◽  
pp. 1013
Author(s):  
Sien Hu ◽  
Chiang-shan R. Li
Keyword(s):  
Reaction Time ◽  
Cognitive Aging ◽  
Gray Matter Volume ◽  
Stop Signal ◽  
Sequential Effect ◽  
Stop Signal Task ◽  
Functional Changes ◽  
Age Related ◽  
Stop Signal Reaction Time ◽  
Age Related Changes

Aging is associated with structural and functional changes in the hippocampus, and hippocampal dysfunction represents a risk marker of Alzheimer’s disease. Previously, we demonstrated age-related changes in reactive and proactive control in the stop signal task, each quantified by the stop signal reaction time (SSRT) and sequential effect computed as the correlation between the estimated stop signal probability and go trial reaction time. Age was positively correlated with the SSRT, but not with the sequential effect. Here, we explored hippocampal gray matter volume (GMV) and activation to response inhibition and to p(Stop) in healthy adults 18 to 72 years of age. The results showed age-related reduction of right anterior hippocampal activation during stop success vs. go trials, and the hippocampal activities correlated negatively with the SSRT. In contrast, the right posterior hippocampus showed higher age-related responses to p(Stop), but the activities did not correlate with the sequential effect. Further, we observed diminished GMVs of the anterior and posterior hippocampus. However, the GMVs were not related to behavioral performance or regional activities. Together, these findings suggest that hippocampal GMVs and regional activities represent distinct neural markers of cognitive aging, and distinguish the roles of the anterior and posterior hippocampus in age-related changes in cognitive control.

Episodic Future Thinking and Cognitive Aging

2018 ◽  
Author(s):  
Daniel L. Schacter ◽  
Aleea L. Devitt ◽  
Donna Rose Addis
Keyword(s):  
Older Adults ◽  
Problem Solving ◽  
Episodic Memory ◽  
Prospective Memory ◽  
Cognitive Aging ◽  
Episodic Future Thinking ◽  
Future Thinking ◽  
Age Related ◽  
Prosocial Intentions ◽  
Age Related Changes

Episodic future thinking refers to the ability to imagine or simulate experiences that might occur in an individual’s personal future. It has been known for decades that cognitive aging is associated with declines in episodic memory, and recent research has documented correlated age-related declines in episodic future thinking. Previous research has considered both cognitive and neural mechanisms that are responsible for age-related changes in episodic future thinking, as well as effects of aging on the functions served by episodic future thinking. Studies concerned with mechanism indicate that multiple cognitive mechanisms contribute to changes in episodic future thinking during aging, including episodic memory retrieval, narrative style, and executive processes. Recent studies using an episodic specificity induction—brief training in recollecting episodic details of a recent experience—have proven useful in separating the contributions of episodic retrieval from other non-episodic processes during future thinking tasks in both old and young adults. Neuroimaging studies provide preliminary evidence of a role for age-related changes in default and executive brain networks in episodic future thinking and autobiographical planning. Studies concerned with function have examined age-related effects on the link between episodic future thinking and a variety of processes, including everyday problem-solving, prospective memory, prosocial intentions, and intertemporal choice/delay discounting. The general finding in these studies is for age-related reductions, consistent with the work on mechanisms that consistently reveals reduced episodic detail in older adults when they imagine future events. However, several studies have revealed that episodic simulation nonetheless confers some benefits for tasks tapping adaptive functions in older adults, such as problem-solving, prospective memory, and prosocial intentions, even though age-related deficits on these tasks are not eliminated or reduced by episodic future thinking.

The frontal aging hypothesis evaluated

2000 ◽  
Vol 6 (6) ◽  
pp. 705-726 ◽  
Author(s):  
PAMELA M. GREENWOOD
Keyword(s):  
Cognitive Aging ◽  
Functional Decline ◽  
Frontal Lobes ◽  
Age Related ◽  
Conflicting Evidence ◽  
Frontal Lobe Function ◽  
Volume Blood ◽  
Cortical Regions ◽  
Effects Of Aging ◽  
Brain Change

That the human frontal lobes are particularly vulnerable to age-related deterioration has been frequently invoked as an explanation of functional decline in aging. This “frontal aging hypothesis” is evaluated in this review by examining evidence of selectively reduced frontal lobe function in aging. The frontal aging hypothesis predicts that functions largely dependent on frontal regions would decline in aging, while functions largely independent of frontal lobes would remain relatively spared. The hypothesis further predicts that age-related brain change would selectively impact frontal regions. The literatures on working memory, visuospatial attention, face recognition, and implicit memory were reviewed as exemplars of functions dependent on prefrontal, parietal, temporal and occipitotemporal cortices, respectively, with a view to establishing mediating structures and effects of aging. Age sensitivity was seen both in functions dependent on frontal integrity as well as in functions apparently independent of frontal integrity. Further, although prefrontal areas exhibit age-related decreases in regional volume, blood flow and metabolism, nonfrontal cortical regions undergo similar declines. It is concluded that while the frontal lobes are subject to age-related changes reflected in both behavior and pathology, there is only weak and conflicting evidence that frontal regions are selectively and differentially affected by aging. It is argued that a network-based theory of cognitive aging has advantages over the localizationist approach inherent in the frontal aging hypothesis. (JINS, 2000, 6, 705–726.)

Age-Related Changes in Attentional Control Using an N-Back Working Memory Paradigm

2016 ◽  
Vol 42 (4) ◽  
pp. 390-402 ◽  
Author(s):  
Kimiko Kato ◽  
Akinori Nakamura ◽  
Takashi Kato ◽  
Izumi Kuratsubo ◽  
Misako Yamagishi ◽  
...  
Keyword(s):  
Working Memory ◽  
Attentional Control ◽  
Age Related ◽  
Age Related Changes

Reduced Suppression or Labile Memory? Mechanisms of Inefficient Filtering of Irrelevant Information in Older Adults

2006 ◽  
Vol 18 (4) ◽  
pp. 637-650 ◽  
Author(s):  
Monica Fabiani ◽  
Kathy A. Low ◽  
Emily Wee ◽  
Jeffrey J. Sable ◽  
Gabriele Gratton
Keyword(s):  
Older Adults ◽  
Working Memory ◽  
Cognitive Aging ◽  
Memory Function ◽  
Processing System ◽  
Sensory Memory ◽  
Attention Control ◽  
Age Related ◽  
Memory Decay ◽  
Age Related Changes

Cognitive aging theories emphasize the decrease in efficiency of inhibitory processes and attention control in normal aging, which, in turn, may result in reduction of working memory function. Accordingly, some of these age-related changes may be due to faster sensory memory decay or to inefficient filtering of irrelevant sensory information (sensory gating). Here, event-related brain potentials and the event-related optical signal were recorded in younger and older adults passively listening to tone trains. To determine whether age differentially affects decay of sensory memory templates over short intervals, trains were separated by delays of either 1 or 5 sec. To determine whether age affects the suppression of responses to unattended repeated stimuli, we evaluated the brain activity elicited by successive train stimuli. Some trains started with a shorter-duration stimulus (deviant trains). Results showed that both electrical and optical responses to tones were more persistent with repeated stimulation in older adults than in younger adults, whereas the effects of delay were similar in the two groups. A mismatch negativity (MMN) was elicited by the first stimulus in deviant trains. This MMN was larger for 1- than 5-sec delay, but did not differ across groups. These data suggest that age-related changes in sensory processing are likely due to inefficient filtering of repeated information, rather than to faster sensory memory decay. This inefficient filtering may be due to, or interact with, reduced attention control. Furthermore, it may increase the noise levels in the information processing system and thus contribute to problems with working memory and speed of processing.

scholarly journals Age-Related Changes in Human and Nonhuman Timing

2017 ◽  
Vol 5 (3-4) ◽  
pp. 261-279 ◽  
Author(s):  
Rannie Xu ◽  
Russell M. Church
Keyword(s):  
Time Perception ◽  
Cognitive Processing ◽  
Cognitive Aging ◽  
Comparative Research ◽  
Biochemical Changes ◽  
Age Related ◽  
Timing Ability ◽  
The Many ◽  
The Brain ◽  
Age Related Changes

The capacity for timed behavior is ubiquitous across the animal kingdom, making time perception an ideal topic of comparative research across human and nonhuman subjects. One of the many consequences of normal aging is a systematic decline in timing ability, often accompanied by a host of behavioral and biochemical changes in the brain. In this review, we describe some of these behavioral and biochemical changes in human and nonhuman subjects. Given the involvement of timing in higher-order cognitive processing, age-related changes in timing ability can act as a marker for cognitive decline in older adults. Finally, we offer a comparison between human and nonhuman timing through the perspective of Alzheimer’s disease. Taken together, we suggest that understanding timing functions and dysfunctions can improve theoretical accounts of cognitive aging and time perception, and the use of nonhuman subjects constitutes an integral part of this process.

scholarly journals Explicit and implicit timing in healthy and pathological aging: Disentangling the role of age and cognitive functioning in temporal processing

2021 ◽  
Author(s):  
Mariagrazia Capizzi ◽  
Antonino Visalli ◽  
Alessio Faralli ◽  
Giovanna Mioni
Keyword(s):  
Older Adults ◽  
Cognitive Decline ◽  
Cognitive Functioning ◽  
Temporal Processing ◽  
Cognitive Aging ◽  
Explicit Timing ◽  
Pathological Aging ◽  
Implicit Timing ◽  
Age Related ◽  
Age Related Changes

This study aimed to test two common explanations for the general finding of age-related changes in temporal processing. The first one is that older adults have a real difficulty in processing temporal information as compared to younger adults. The second one is that older adults perform poorly on timing tasks because of their reduced cognitive functioning. These explanations have been mostly contrasted in explicit timing tasks, where participants are overtly informed about the temporal nature of the task. Fewer studies have instead focused on age-related differences in implicit timing tasks, where no explicit instructions to process time are provided. Moreover, the comparison of both explicit and implicit timing in older adults has been restricted to healthy aging only. Here, a large sample (N= 85) of healthy and pathological older participants completed explicit (time bisection) and implicit (foreperiod) timing tasks. Participants’ age and general cognitive functioning, measured with the Mini-Mental State Examination (MMSE), were used as continuous variables to explain performance on explicit and implicit timing tasks. Results showed a clear dissociation between the effects of healthy cognitive aging and pathological cognitive decline on processing of explicit and implicit timing. Whereas age and cognitive decline similarly impaired the non-temporal cognitive processes (e.g., memory for and/or attention to durations) involved in explicit temporal judgements, processing of implicit timing survived normal age-related changes. These findings carry important theoretical and practical implications by providing the first experimental evidence that processing of implicit, but not explicit, timing is differentially affected in healthy and pathological aging.

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