I can see where you would be: Patterns of fMRI activity reveal imagined landmarks

Boccia, Maddalena; Sulpizio, Valentina; Palermo, Liana; Piccardi, Laura; Guariglia, Cecilia; Galati, Gaspare

doi:10.1016/j.neuroimage.2016.08.034

Cited by 34 publications

(36 citation statements)

References 47 publications

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“…The nature of these connections (which is mainly due to landmark processing and/or perception) is consistent with the well‐known contribution of the PPA to spatial navigation (Boccia, Nemmi, & Guariglia, ). Also, the stronger connection between the RSC and the PPA in the right hemisphere during perception of landmarks is consistent with our previous investigation (Boccia et al, ). Although we found that during processing of landmarks the HC and the PPA were more connected in the right hemisphere (Table and Figure ), differently from our previous study (Boccia et al, ), there is no significant difference between imagery and perception.…”

Section: Discussionsupporting

confidence: 93%

“…Localizer scans were aimed at identifying scene‐ and face‐responsive regions in the HVC. In each imaging run, participants passively viewed eight alternating blocks (16 s) of photographs of faces and places/scenes presented for 300 ms every 500 ms, interleaved with fixation periods of 15 s on average (Boccia et al, ; Sulpizio, Committeri, & Galati, ; Sulpizio, Committeri, Lambrey, Berthoz, & Galati, ). During each localizer scan, we acquired 234 functional MR volumes.…”

Section: Methodsmentioning

confidence: 99%

“…With the exception of the question trials, which lasted 4 s, trials lasted 2 s and were followed by a fixation point of the same duration. (Boccia et al, 2017;Sulpizio, Committeri, & Galati, 2014;Sulpizio, Committeri, Lambrey, Berthoz, & Galati, 2013). During each localizer scan, we acquired 234 functional MR volumes.…”

Section: Methodsmentioning

confidence: 99%

“…Neuroimaging studies show that information about the object category can be decoded based on the activity patterns within the HVC during both imagery and perception, but only during perception based on the activity patterns of the low-level visual cortex (LVC; i.e., the retinotopic cortex/lower visual areas; Reddy, Tsuchiya, & Serre, 2010). The activity patterns in the visual cortex can be also used to decode the individual perceived or imagined exemplar both in the case of objects (Lee, Kravitz, & Baker, 2012) and places (Boccia et al, 2015;Boccia et al, 2017;Johnson & Johnson, 2014), even if the distribution of information across LVC and HVC is strikingly different during imagery and perception: whereas the amount of information about the perceived object is higher in LVC, the amount of information about the imagined object is higher in HVC (Lee et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

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The dynamic contribution of the high‐level visual cortex to imagery and perception

Boccia

Sulpizio

Teghil

et al. 2019

Human Brain Mapping

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Mental imagery and visual perception rely on the same content‐dependent brain areas in the high‐level visual cortex (HVC). However, little is known about dynamic mechanisms in these areas during imagery and perception. Here we disentangled local and inter‐regional dynamic mechanisms underlying imagery and perception in the HVC and the hippocampus (HC), a key region for memory retrieval during imagery. Nineteen healthy participants watched or imagined a familiar scene or face during fMRI acquisition. The neural code for familiar landmarks and faces was distributed across the HVC and the HC, although with a different representational structure, and generalized across imagery and perception. However, different regional adaptation effects and inter‐regional functional couplings were detected for faces and landmarks during imagery and perception. The left PPA showed opposite adaptation effects, with activity suppression following repeated observation of landmarks, but enhancement following repeated imagery of landmarks. Also, functional coupling between content‐dependent brain areas of the HVC and HC changed as a function of task and content. These findings provide important information about the dynamic networks underlying imagery and perception in the HVC and shed some light upon the thin line between imagery and perception which has characterized the neuropsychological debates on mental imagery.

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Section: Discussionsupporting

confidence: 93%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The dynamic contribution of the high‐level visual cortex to imagery and perception

Boccia

Sulpizio

Teghil

et al. 2019

Human Brain Mapping

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“…Following the model proposed by Byrne and colleagues (Byrne et al, 2007), in the parietal lobe there should be the neural substrate of the “egocentric parietal window” that allows the egocentrically coded information in the parietal lobe to access the allocentrically stored information in the medial temporal lobe, in service of the mental imagery and the spatial navigation. Neuroimaging evidence in both humans (Boccia et al, 2016d, 2017b) and primates (Kravitz et al, 2011) seems to support the model.…”

Section: Discussionmentioning

confidence: 93%

Effect of Cognitive Style on Learning and Retrieval of Navigational Environments

et al. 2017

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Field independence (FI) has been found to correlate with a wide range of cognitive processes requiring cognitive restructuring. Cognitive restructuring, that is going beyond the information given by the setting, is pivotal in creating stable mental representations of the environment, the so-called “cognitive maps,” and it affects visuo-spatial abilities underpinning environmental navigation. Here we evaluated whether FI, by fostering cognitive restructuring of environmental cues on the basis of an internal frame of reference, affects the learning and retrieval of a novel environment. Fifty-four participants were submitted to the Embedded Figure Test (EFT) for assessing their Cognitive Style (CS) and to the Perspective Taking/Spatial Orientation Test (PTSOT) and the Santa Barbara Sense of Direction Scale (SBSOD) for assessing their spatial perspective taking and orientation skills. They were also required to learn a path in a novel, real environment (route learning, RL), to recognize landmarks of this path among distracters (landmark recognition, LR), to order them (landmark ordering, LO) and to draw the learned path on a map (map drawing, MD). Retrieval tasks were performed both immediately after learning (immediate-retrieval) and the day after (24 h-retrieval). Performances on EFT significantly correlated with the time needed to learn the path, with MD (both in the immediate- and in the 24 h- retrievals), results on LR (in 24-retrieval) and performances on PTSOT. Interestingly, we found that gender interacted with CS on RL (time of learning) and MD. Females performed significantly worse than males only if they were classified as FD, but did not differ from males if they were classified as FI. These results suggest that CS affects learning and retrieval of navigational environment, especially when a map-like representation is required. We propose that CS may be pivotal in forming the cognitive map of the environment, likely due to the higher ability of FI individuals in restructuring environmental cues in a global and flexible long-term representation of the environment.

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Preferential signal pathways during the perception and imagery of familiar scenes: An effective connectivity study

Tullo

Almgren

Steen

et al. 2023

Human Brain Mapping

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The perception and imagery of landmarks activate similar content-dependent brain areas, including occipital and temporo-medial brain regions. However, how these areas interact during visual perception and imagery of scenes, especially when recollecting their spatial location, remains unknown. Here, we combined functional magnetic resonance imaging (fMRI), resting-state functional connectivity (rs-fc), and effective connectivity to assess spontaneous fluctuations and task-induced modulation of signals among regions entailing scene-processing, the primary visual area and the hippocampus (HC), responsible for the retrieval of stored information. First, we functionally defined the scene-selective regions, that is, the occipital place area (OPA), the retrosplenial complex (RSC) and the parahippocampal place area (PPA), by using the face/scene localizer, observing that two portions of the PPA-anterior and posterior PPA-were consistently activated in all subjects. Second, the rs-fc analysis (n = 77) revealed a connectivity pathway similar to the one described in macaques, showing separate connectivity routes linking the anterior PPA with RSC and HC, and the posterior PPA with OPA. Third, we used dynamic causal modelling to evaluate whether the dynamic couplings among these regions differ between perception and imagery of familiar landmarks during a fMRI task (n = 16). We found a positive effect of HC on RSC during the retrieval of imagined places and an effect of occipital regions on both RSC and pPPA during the perception of scenes. Overall, we propose that under similar functional architecture at rest, different neural interactions take place between regions in the occipito-temporal higher-level visual cortex and the HC, subserving scene perception and imagery.

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I can see where you would be: Patterns of fMRI activity reveal imagined landmarks

Cited by 34 publications

References 47 publications

The dynamic contribution of the high‐level visual cortex to imagery and perception

The dynamic contribution of the high‐level visual cortex to imagery and perception

Effect of Cognitive Style on Learning and Retrieval of Navigational Environments

Preferential signal pathways during the perception and imagery of familiar scenes: An effective connectivity study

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