Where is the “where” in the brain? A meta‐analysis of neuroimaging studies on spatial cognition

Cona, Giorgia; Scarpazza, Cristina

doi:10.1002/hbm.24496

Cited by 85 publications

(94 citation statements)

References 159 publications

(291 reference statements)

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“…In accordance with previous neuroimaging studies looking at the neural bases of spatial navigation, we found that landmark-based navigation recruited an extended network of brain regions (Kuhn and Gallinat, 2014; Spiers and Barry, 2015b; Coughlan et al, 2018; Cona and Scarpazza, 2019).…”

Section: Discussionsupporting

confidence: 92%

“…The latter is known to process high-level visual information such as object quality (Kravitz et al, 2013; Nau et al, 2018). The recruited network also encompassed the posterior section of the hippocampus and the parahippocampal gyrus; brain areas that play a central role in spatial navigation and that are particularly active during immediate retrieval phases of navigation paradigms (Kuhn and Gallinat, 2014; Cona and Scarpazza, 2019). Furthermore, we found significant activity in the angular gyrus, a region of the posterior parietal cortex known to encode landmarks in the environment with respect to the self (Ciaramelli et al, 2010; Auger and Maguire, 2018).…”

Section: Discussionmentioning

confidence: 99%

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Differential brain activity in visuo-perceptual regions during landmark-based navigation in young and healthy older adults

Ramanoël

Durteste

Bécu

et al. 2020

Preprint

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14Older adults exhibit prominent impairments in their capacity to navigate, reorient in 15 unfamiliar environments or update their path when faced with obstacles. This decline in 16 navigational capabilities has traditionally been ascribed to memory impairments and 17 dysexecutive function whereas the impact of visual aging has often been overlooked. The 18 ability to perceive visuo-spatial information such as salient landmarks is essential to navigate 19 in space efficiently. To date, the functional and neurobiological factors underpinning 20 landmark processing in aging remain insufficiently characterized. To address this issue, this 21 study used functional magnetic resonance imaging (fMRI) to investigate the brain activity 22 associated with landmark-based navigation in young and healthy older participants. Twenty-23 five young adults (µ=25.4 years, σ=4.7; 7F) and twenty-one older adults (µ=73.0 years, 24 σ=3.9; 10F) performed a virtual navigation task in the scanner in which they could only orient 25 using salient landmarks. The underlying whole-brain patterns of activity as well as the 26 functional roles of scene-selective regions, the parahippocampal place area (PPA), the 27 occipital place area (OPA), and the retrosplenial cortex (RSC) were analyzed. We found that 28 older adults' navigational abilities were diminished compared to young adults' and that the 29 two age groups relied on distinct navigational strategies to solve the task. Better performance 30 during landmark-based navigation was found to be associated with increased neural activity in 31 an extended neural network comprising several cortical and cerebellar regions. Direct 32 comparisons between age groups further revealed that young participants had enhanced 33 anterior temporal activity. In addition, young adults only were found to recruit occipital areas 34 corresponding to the cortical projection of the central visual field during landmark-based 35 navigation. The region-of-interest analysis revealed increased OPA activation in older adult 36 participants. There were no significant between-group differences in PPA and RSC 37 activations. These results hint at the possibility that aging diminishes fine-grained information 38 processing in occipital and temporal regions thus hindering the capacity to use landmarks 39 adequately for navigation. This work helps towards a better comprehension of the neural 40 dynamics subtending landmark-based navigation and it provides new insights on the impact 41 of age-related visuo-spatial processing changes on navigation capabilities. 42 65 place-based strategy involves the formation of mental map-like representations of the absolute 66 spatial position of the goal in relation to various stimuli within the environment. A response-67 based strategy refers to the process whereby an association between a specific stimulus and 68 the goal location is formed. The choice of a navigation strategy critically depends on the 69 visual information present in the environment (Foo et al., 2005; Ratli...

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Differential brain activity in visuo-perceptual regions during landmark-based navigation in young and healthy older adults

Ramanoël

Durteste

Bécu

et al. 2020

Preprint

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“…The frontal operculum and the anterior insular cortex of both hemispheres were shown to be consistently activated in the meta-analysis of spatial tasks (Cona & Scarpazza, 2019) and are supposed to be involved in dynamically prioritizing the topographical maps formed in frontal and parietal regions on the basis of the external stimuli's saliency and the internal, top-down rules and goals (Serences & Yantis, 2007). Consistent activation of SMA, and mostly pre-SMA, across spatial studies was also found and was shown to reflect hierarchical accumulation and sequential integration of information into higher-order spatial representations (Bahlmann et al, 2009;Cona & Semenza, 2017).…”

Section: Neural Activations In the Space And Time Domainsmentioning

confidence: 95%

“…Space-related activations. In a previous meta-analysis (Cona & Scarpazza, 2019), we analysed neuroimaging data obtained from those studies that explored spatial processing in a variety of cognitive functions. We found a consistent activation in fronto-parietal regions belonging to the Dorsal Attention Network (DAN).…”

Section: Neural Activations In the Space And Time Domainsmentioning

confidence: 99%

“…For the space domain, we selected the studies already included in our previous meta-analysis following the inclusion criteria described below (Cona & Scarpazza, 2019), whereas for the time processing we conducted a new in-depth search up to February 2019. More specifically, regarding space processing, two hundred and ninety possible eligible papers were identified through database search and additional 167 studies were found by means of the "related articles" function of the PubMed database and by tracing the references from review articles and the identified papers.…”

Section: Studies Selectionmentioning

confidence: 99%

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From ATOM to GradiATOM: Cortical gradients support time and space processing as revealed by a meta-analysis of neuroimaging studies

Cona

Wiener

Scarpazza

2020

Preprint

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According to the ATOM (A Theory Of Magnitude), formulated by Walsh more than fifteen years ago, there is a general system of magnitude in the brain that comprises regions, such as the parietal cortex, shared by space, time and other magnitudes (Walsh, 2003).The present meta-analysis of neuroimaging studies used the Activation Likelihood Estimation (ALE) method in order to determine the set of regions commonly activated in space and time processing and to establish the neural activations specific to each magnitude domain. Following PRISMA guidelines, we included in the analysis a total of 112 and 114 experiments, exploring space and time processing, respectively.We clearly identified the presence of a system of brain regions commonly recruited in both space and time and that includes: bilateral insula, the pre-supplementary motor area (SMA), the right frontal operculum and the intraparietal sulci. These regions might be the best candidates to form the core magnitude neural system. Surprisingly, along each of these regions but the insula, ALE values progressed in a cortical gradient from time to space. The SMA exhibited an anterior-posterior gradient, with space activating more-anterior regions (i.e., pre-SMA) and time activating moreposterior regions (i.e., SMA-proper). Frontal and parietal regions showed a dorsal-ventral gradient: space is mediated by dorsal frontal and parietal regions, and time recruits ventral frontal and parietal regions.Our study supports but also expands the ATOM theory. Therefore, we here re-named it the 'GradiATOM' theory (Gradient Theory of Magnitude), proposing that gradient organization can facilitate the transformations and integrations of magnitude representations by allowing space-and time-related neural populations to interact with each other over minimal distances.

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Association of Epigenetic Metrics of Biological Age With Cortical Thickness

et al. 2020

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Key Points Question Are DNA methylation–based metrics of biological age associated with cortical thickness, and does a biological age acceleration index capture unique changes in cortical thinning compared with chronological age measures? Findings In this cross-sectional study of 82 healthy adults, both biological and chronological age were associated with widespread cortical thinning, but biological age acceleration was also associated with additional changes in cortical morphological features. Older biological age relative to chronological age was associated with accentuated thinning within prefrontal and temporal regions. Meaning These findings suggest that DNA methylation–based biological age may yield additional insight into healthy and pathological cortical aging compared with chronological age alone.

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Where is the “where” in the brain? A meta‐analysis of neuroimaging studies on spatial cognition

Cited by 85 publications

References 159 publications

Differential brain activity in visuo-perceptual regions during landmark-based navigation in young and healthy older adults

Differential brain activity in visuo-perceptual regions during landmark-based navigation in young and healthy older adults

From ATOM to GradiATOM: Cortical gradients support time and space processing as revealed by a meta-analysis of neuroimaging studies

Association of Epigenetic Metrics of Biological Age With Cortical Thickness

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