Representation of human spatial navigation responding to input spatial information and output navigational strategies: An ALE meta-analysis

Qiu, Yidan; Wu, Yueyue; Liu, Ruiting; Wang, Junjing; Huang, Huiyuan; Huang, Ruiwang

doi:10.1016/j.neubiorev.2019.06.012

Cited by 27 publications

(23 citation statements)

References 113 publications

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“…For social cognition, we included all areas identified in meta-analyses on the cortex ( Van Overwalle, 2009;Van Overwalle & Baetens, 2009) and the cerebellum ( Van Overwalle et al, 2020), and we show the overlap with areas in spatial navigation. For spatial navigation, we included all areas from the modules identified by Kong et al (2017), that were also identified in two other meta-analyses by Kühn et al(2013) and Qiu et al (2019), as denoted by ✓. Occipital/Visual areas were omitted.…”

Section: Discussionmentioning

confidence: 99%

“…In the present study, we present trajectories of protagonists moving through space from a bird's (i.e., allocentric) point of view (Iglói et al, 2015;Maguire et al, 1998). Several metaanalyses of neuroimaging studies on spatial navigation identified the hippocampus and adjacent middle temporal areas (e.g., parahippocampal gyrus) as the primordial subcortical site contributing to spatial navigation (Kong et al, 2017;Kühn & Gallinat, 2014;Qiu et al, 2019).…”

Section: Spatial Navigationmentioning

confidence: 98%

“…In addition, many cortical areas were systematically reported in these meta-analyses (see Table 1), including the supplementary motor area (SMA) involved in identifying visual landmarks as cues for navigation (Qiu et al, 2019), the precentral gyrus (PreC) and angular gyrus (ANG) supporting goal-directed action observation, and the precuneus (PCUN) involved in encoding visual landmarks as part of the external environment and scene.…”

Section: Spatial Navigationmentioning

confidence: 99%

“…Regions of interest (ROIs) for social mentalizing and spatial navigation were derived from prior meta-analyses on mentalizing ( Van Overwalle, 2009;Van Overwalle & Baetens, 2009) and spatial navigation if they were present in at least two of three recent meta-analyses (Kong et al, 2017;Kühn & Gallinat, 2014;Qiu et al, 2019). This procedure provided a restricted number of regions of interest (ROI) with their coordinates listed in Table 1.…”

Section: Regions Of Interestmentioning

confidence: 99%

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Social cerebellum in goal-directed navigation

Baetens

et al. 2021

Social Neuroscience

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Highlights• The posterior cerebellar Crus is involved in sequence-based social navigation, along with the parahippocampal gyrus and social cortical areas.• Crus II is recruited during memorizing social and non-social sequential trajectories• Crus I is specifically recruited to memorize social trajectories.• Cerebellar Crus I and II, and lobules VI are recruited when reproducing social and nonsocial sequencing trajectories.

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Section: Discussionmentioning

confidence: 99%

Section: Spatial Navigationmentioning

confidence: 98%

Section: Spatial Navigationmentioning

confidence: 99%

Section: Regions Of Interestmentioning

confidence: 99%

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Social cerebellum in goal-directed navigation

Baetens

et al. 2021

Social Neuroscience

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“…Spatial navigation is a complex ability based on the integration of sensory-motor, perceptual, cognitive and emotional processes [1,2]. Subjects show a great individual variability in navigational strategies they carried out, because of external factors, such as landmark differentiation, visual access to environmental cues, complexity of spatial layout, as well as of internal factors, such as biological substrates, individual differences and spatial cognitive style [3].…”

Section: Introductionmentioning

confidence: 99%

CB1 Activity Drives the Selection of Navigational Strategies: A Behavioral and c-Fos Immunoreactivity Study

Laricchiuta

Balsamo

Fabrizio

et al. 2020

IJMS

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To promote efficient explorative behaviors, subjects adaptively select spatial navigational strategies based on landmarks or a cognitive map. The hippocampus works alone or in conjunction with the dorsal striatum, both representing the neuronal underpinnings of the navigational strategies organized on the basis of different systems of spatial coordinate integration. The high expression of cannabinoid type 1 (CB1) receptors in structures related to spatial learning—such as the hippocampus, dorsal striatum and amygdala—renders the endocannabinoid system a critical target to study the balance between landmark- and cognitive map-based navigational strategies. In the present study, mice treated with the CB1-inverse agonist/antagonist AM251 or vehicle were trained on a Circular Hole Board, a task that could be solved through either navigational strategy. At the end of the behavioral testing, c-Fos immunoreactivity was evaluated in specific nuclei of the hippocampus, dorsal striatum and amygdala. AM251 treatment impaired spatial learning and modified the pattern of the performed navigational strategies as well as the c-Fos immunoreactivity in the hippocampus, dorsal striatum and amygdala. The present findings shed light on the involvement of CB1 receptors as part of the selection system of the navigational strategies implemented to efficiently solve the spatial problem.

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Selective neural coding of object, feature, and geometry spatial cues in humans

Ramanoël

Durteste

Bizeul

et al. 2022

Human Brain Mapping

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Orienting in space requires the processing of visual spatial cues. The dominant hypothesis about the brain structures mediating the coding of spatial cues stipulates the existence of a hippocampal-dependent system for the representation of geometry and a striatal-dependent system for the representation of landmarks. However, this dual-system hypothesis is based on paradigms that presented spatial cues conveying either conflicting or ambiguous spatial information and that used the term landmark to refer to both discrete three-dimensional objects and wall features. Here, we test the hypothesis of complex activation patterns in the hippocampus and the striatum during visual coding. We also postulate that object-based and feature-based navigation are not equivalent instances of landmark-based navigation. We examined how the neural networks associated with geometry-, object-, and feature-based spatial navigation compared with a control condition in a two-choice behavioral paradigm using fMRI. We showed that the hippocampus was involved in all three types of cue-based navigation, whereas the striatum was more strongly recruited in the presence of geometric cues than object or feature cues. We also found that unique, specific neural signatures were associated with each spatial cue. Object-based navigation elicited a widespread pattern of activity in temporal and occipital regions relative to feature-based navigation. These findings extend the current view of a dual, juxtaposed hippocampal-striatal system for visual spatial coding in humans.They also provide novel insights into the neural networks mediating object versus feature spatial coding, suggesting a need to distinguish these two types of landmarks in the context of human navigation.

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Representation of human spatial navigation responding to input spatial information and output navigational strategies: An ALE meta-analysis

Cited by 27 publications

References 113 publications

Social cerebellum in goal-directed navigation

Social cerebellum in goal-directed navigation

CB1 Activity Drives the Selection of Navigational Strategies: A Behavioral and c-Fos Immunoreactivity Study

Selective neural coding of object, feature, and geometry spatial cues in humans

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