A studyforrest extension, retinotopic mapping and localization of higher visual areas

Sengupta, Ayan; Kaule, Falko R.; Guntupalli, J. Swaroop; Hoffmann, Michael B.; Häusler, Christian Olaf; Stadler, Jörg; Hanke, Michael

doi:10.1038/sdata.2016.93

Cited by 66 publications

(81 citation statements)

References 37 publications

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“…In summary, this extension of the studyforrest dataset described here, together with additional new fMRI data on retinotopic mapping and localization of visual areas described in a companion publication 7 , substantially increases the bandwidth of questions that can be investigated. Furthermore, the released data can be used to further improve the description of the stimulus itself: What object categories are being attended?…”

Section: Background and Summarymentioning

confidence: 86%

“…For details on the general methods and a sample description, we refer the reader to the companion article 7 .…”

Section: Methodsmentioning

confidence: 99%

“…7 also volunteered for the simultaneous fMRI and eye gaze recording in this study. Consequently, additional BOLD fMRI data for all participants have been made available previously 2,4 and participant IDs are matched across all studies.…”

Section: Methodsmentioning

confidence: 99%

“…Table 1 lists the affected participants. Participants in the fMRI experiment underwent a dedicated ophthalmologic exam to confirm normal vision 7 .…”

Section: Methodsmentioning

confidence: 99%

“…The visual stimulation setup was as described in the companion article 7 . Importantly, the movie was shown at a viewing distance of 63 cm in 720p resolution at full width on a 1280×1024 pixel screen that was 26.5 cm wide—corresponding to 23.75°×13.5° of visual angle or 23.75°×10.25° when considering only the movie content and excluding the horizontal gray bars.…”

Section: Methodsmentioning

confidence: 99%

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A studyforrest extension, simultaneous fMRI and eye gaze recordings during prolonged natural stimulation

et al. 2016

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Here we present an update of the studyforrest (http://studyforrest.org) dataset that complements the previously released functional magnetic resonance imaging (fMRI) data for natural language processing with a new two-hour 3 Tesla fMRI acquisition while 15 of the original participants were shown an audio-visual version of the stimulus motion picture. We demonstrate with two validation analyses that these new data support modeling specific properties of the complex natural stimulus, as well as a substantial within-subject BOLD response congruency in brain areas related to the processing of auditory inputs, speech, and narrative when compared to the existing fMRI data for audio-only stimulation. In addition, we provide participants' eye gaze location as recorded simultaneously with fMRI, and an additional sample of 15 control participants whose eye gaze trajectories for the entire movie were recorded in a lab setting—to enable studies on attentional processes and comparative investigations on the potential impact of the stimulation setting on these processes.

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Section: Background and Summarymentioning

confidence: 86%

“…For details on the general methods and a sample description, we refer the reader to the companion article 7 .…”

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

“…Table 1 lists the affected participants. Participants in the fMRI experiment underwent a dedicated ophthalmologic exam to confirm normal vision 7 .…”

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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A studyforrest extension, simultaneous fMRI and eye gaze recordings during prolonged natural stimulation

et al. 2016

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Subject‐specific segregation of functional territories based on deep phenotyping

Pinho

Amadon

Fabre

et al. 2020

Human Brain Mapping

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Functional magnetic resonance imaging (fMRI) has opened the possibility to investigate how brain activity is modulated by behavior. Most studies so far are bound to one single task, in which functional responses to a handful of contrasts are analyzed and reported as a group average brain map. Contrariwise, recent data‐collection efforts have started to target a systematic spatial representation of multiple mental functions. In this paper, we leverage the Individual Brain Charting (IBC) dataset—a high‐resolution task‐fMRI dataset acquired in a fixed environment—in order to study the feasibility of individual mapping. First, we verify that the IBC brain maps reproduce those obtained from previous, large‐scale datasets using the same tasks. Second, we confirm that the elementary spatial components, inferred across all tasks, are consistently mapped within and, to a lesser extent, across participants. Third, we demonstrate the relevance of the topographic information of the individual contrast maps, showing that contrasts from one task can be predicted by contrasts from other tasks. At last, we showcase the benefit of contrast accumulation for the fine functional characterization of brain regions within a prespecified network. To this end, we analyze the cognitive profile of functional territories pertaining to the language network and prove that these profiles generalize across participants.

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Mapping the functional and structural connectivity of the scene network

Watson,

Andrews

2024

Human Brain Mapping

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The recognition and perception of places has been linked to a network of scene‐selective regions in the human brain. While previous studies have focussed on functional connectivity between scene‐selective regions themselves, less is known about their connectivity with other cortical and subcortical regions in the brain. Here, we determine the functional and structural connectivity profile of the scene network. We used fMRI to examine functional connectivity between scene regions and across the whole brain during rest and movie‐watching. Connectivity within the scene network revealed a bias between posterior and anterior scene regions implicated in perceptual and mnemonic aspects of scene perception respectively. Differences between posterior and anterior scene regions were also evident in the connectivity with cortical and subcortical regions across the brain. For example, the Occipital Place Area (OPA) and posterior Parahippocampal Place Area (PPA) showed greater connectivity with visual and dorsal attention networks, while anterior PPA and Retrosplenial Complex showed preferential connectivity with default mode and frontoparietal control networks and the hippocampus. We further measured the structural connectivity of the scene network using diffusion tractography. This indicated both similarities and differences with the functional connectivity, highlighting biases between posterior and anterior regions, but also between ventral and dorsal scene regions. Finally, we quantified the structural connectivity between the scene network and major white matter tracts throughout the brain. These findings provide a map of the functional and structural connectivity of scene‐selective regions to each other and the rest of the brain.

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A studyforrest extension, retinotopic mapping and localization of higher visual areas

Cited by 66 publications

References 37 publications

A studyforrest extension, simultaneous fMRI and eye gaze recordings during prolonged natural stimulation

A studyforrest extension, simultaneous fMRI and eye gaze recordings during prolonged natural stimulation

Subject‐specific segregation of functional territories based on deep phenotyping

Mapping the functional and structural connectivity of the scene network

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