The Aging Navigational System

Lester, Adam W.; Moffat, Scott D.; Wiener, Jan; Barnes, Carol A.; Wolbers, Thomas

doi:10.1016/j.neuron.2017.06.037

Cited by 311 publications

(329 citation statements)

References 207 publications

(268 reference statements)

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“…While many places can easily be identified by single distinctive environmental features (i.e., landmarks), other places are recognized by the spatial relationships between a number of more common environmental features. In this study we examined how cognitive aging, which is known to affect navigation and orientation abilities (Lester, Moffat, Wiener, Barnes, & Wolbers, ), impacts on the recognition of places that are defined by a specific spatial arrangement of several objects. In particular, we were interested in how substituting or swapping object locations as well as perspective shifts affected place recognition.…”

Section: Introductionmentioning

confidence: 99%

Evidence for age‐related deficits in object‐location binding during place recognition

et al. 2019

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Deciding whether a place is the same or different than places encountered previously is a common task in daily navigation which requires to develop knowledge about the locations of objects (object‐location binding) and to recognize places from different perspectives. These abilities rely on hippocampal functioning which is susceptible to increasing age. Thus, the question of the present study is how they both together impact on place recognition in aging. Forty people aged 20–29, 44 aged 60–69, and 32 aged 70–79 were presented with places consisting of four different objects during the encoding phase. In the test phase, they were then presented with a second place and had to decide whether it was the same or different. Test places were presented from different perspectives (0°, 30°, 60°) and with different object conditions (same, a swap of two objects, a substitution with a novel object). The sensitivity for detecting changes (d′) decreased from 20–29 to 60–69 and to 70–79 years old, and with increasing perspective shifts. Importantly, older adults were less sensitive to object swapping than to object substitution, while young participants did not show any difference. Overall, these results suggest specific age‐related difficulties in object‐location binding in the context of place recognition.

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Section: Introductionmentioning

confidence: 99%

Evidence for age‐related deficits in object‐location binding during place recognition

et al. 2019

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“…[1,2] It has been speculated that the first neurons evolved to provide fast electrical signal propagation to control navigation, [3] which ultimately gave rise to organisms that employ muscle-based locomotion as cilia evolved into a sensory organ. [15][16][17][18][19][20] Here, we focus on the networks that have evolved to provide such sensorimotor control to address general principles of sensorimotor computation from a neural circuit perspective, with the focus being on Caenorhabditis elegans (C. elegans). [7][8][9] Although sensorimotor computation commonly leads to navigation (as well as other forms of motor control including vocalization and vocal communication [10][11][12][13][14] ), we refrain from discussing the circuits of navigation, which are reviewed elsewhere.…”

Section: Introductionmentioning

confidence: 99%

“…[7][8][9] Although sensorimotor computation commonly leads to navigation (as well as other forms of motor control including vocalization and vocal communication [10][11][12][13][14] ), we refrain from discussing the circuits of navigation, which are reviewed elsewhere. [15][16][17][18][19][20] Here, we focus on the networks that have evolved to provide such sensorimotor control to address general principles of sensorimotor computation from a neural circuit perspective, with the focus being on Caenorhabditis elegans (C. elegans). By focusing our arguments on three key highlights, we show that C. elegans, like all animals, require sensorimotor integration to generate action and explore the computational roles of inhibitory neurons that allow adaptive sensorimotor computations.…”

Section: Introductionmentioning

confidence: 99%

Prominent Inhibitory Projections Guide Sensorimotor Computation: An Invertebrate Perspective

Hughes

Celikel

2019

BioEssays

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From single-cell organisms to complex neural networks, all evolved to provide control solutions to generate context-and goal-specific actions. Neural circuits performing sensorimotor computation to drive navigation employ inhibitory control as a gating mechanism as they hierarchically transform (multi)sensory information into motor actions. Here, the focus is on this literature to critically discuss the proposition that prominent inhibitory projections form sensorimotor circuits. After reviewing the neural circuits of navigation across various invertebrate species, it is argued that with increased neural circuit complexity and the emergence of parallel computations, inhibitory circuits acquire new functions. The contribution of inhibitory neurotransmission for navigation goes beyond shaping the communication that drives motor neurons, and instead includes encoding of emergent sensorimotor representations. A mechanistic understanding of the neural circuits performing sensorimotor computations in invertebrates will unravel the minimum circuit requirements driving adaptive navigation.

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“…Normal aging is associated with a decline in the capacity to consolidate memories during sleep (e.g., Pace-Schott and Spencer, 2015), and to retrieve and utilize spatial (Lester et al, 2017) and object-guided (Burke et al, 2010, 2011) memories during waking behavior. The neural basis for these effects are not known.…”

Section: Introductionmentioning

confidence: 99%

Age‐associated changes in waking hippocampal sharp‐wave ripples

et al. 2018

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Hippocampal sharp-wave ripples are brief high-frequency (120-250 Hz) oscillatory events that support mnemonic processes during sleep and awake behavior. Although ripples occurring during sleep are believed to facilitate memory consolidation, waking ripples may also be involved in planning and memory retrieval. Recent work from our group determined that normal aging results in a significant reduction in the peak oscillatory frequency and rate-of-occurrence of ripples during sleep that may contribute to age-associated memory decline. It is unknown, however, how aging alters waking ripples. We investigated whether characteristics of waking ripples undergo age-dependent changes. Sharp-wave ripple events were recorded from the CA1 region of the hippocampus in old (n = 5) and young (n = 6) F344 male rats as they performed a place-dependent eyeblink conditioning task. Several novel observations emerged from this analysis. First, although aged rats expressed more waking ripples than young rats during track running and reward consumption, this effect was eliminated, and, in the case of track-running, reversed when time spent in each location was accounted for. Thus, aged rats emit more ripples, but young rats express a higher ripple rate. This likely results from reduced locomotor activity in aged animals. Furthermore, although ripple rates increased as young rats approached rewards, rates did not increase in aged rats, and rates in aged and young animals were not affected by eyeblink conditioning. Finally, although the oscillatory frequency of ripples was lower in aged animals during rest, frequencies in aged rats increased during behavior to levels indistinguishable from young rats. Given the involvement of waking ripples in memory retrieval, a possible consequence of slower movement speeds of aged animals is to provide more opportunity to replay task-relevant information and compensate for age-related declines in ripple rate during task performance.

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The Aging Navigational System

Cited by 311 publications

References 207 publications

Evidence for age‐related deficits in object‐location binding during place recognition

Evidence for age‐related deficits in object‐location binding during place recognition

Prominent Inhibitory Projections Guide Sensorimotor Computation: An Invertebrate Perspective

Age‐associated changes in waking hippocampal sharp‐wave ripples

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