Genetic influence is linked to cortical morphology in category-selective areas of visual cortex

Abbasi, Nooshin; Duncan, John; Rajimehr, Reza

doi:10.1038/s41467-020-14610-8

Cited by 14 publications

(14 citation statements)

References 54 publications

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“…A region of interest (ROI) approach was used as this is known to improve signal to noise ratio in fMRI. We hypothesized a genetic influence on brain function in areas of the ventral visual stream consistent with previous reports (Abbasi et al, 2020 ; Polk et al, 2007a ). We also expected a genetic influence on brain responses related to viewing distance and interpersonal distance, although we did not have specific hypotheses in which brain areas effects would be observed.…”

Section: Introductionsupporting

confidence: 81%

“…The source of individual variation in activation to social stimuli in the fusiform face area has been suggested to be partially genetic, as a study found greater correlation between identical than fraternal twin pairs in this area (Polk et al, 2007b ). Using a larger sample of twins from the Human Connectome Project, the finding of a genetic influence in face‐related activation of the fusiform face area has been replicated (Abbasi et al, 2020 ). Genetic influences on activation serving face perception were also observed in the lateral OFA (Abbasi et al, 2020 ).…”

Section: Introductionmentioning

confidence: 96%

“…Using a larger sample of twins from the Human Connectome Project, the finding of a genetic influence in face‐related activation of the fusiform face area has been replicated (Abbasi et al, 2020 ). Genetic influences on activation serving face perception were also observed in the lateral OFA (Abbasi et al, 2020 ).…”

Section: Introductionmentioning

confidence: 96%

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A neuroimaging study of interpersonal distance in identical and fraternal twins

Rosén

Kastrati

Kuja‐Halkola

et al. 2022

Human Brain Mapping

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Keeping appropriate interpersonal distance is an evolutionary conserved behavior that can be adapted based on learning. Detailed knowledge on how interpersonal space is represented in the brain and whether such representation is genetically influenced is lacking. We measured brain function using functional magnetic resonance imaging in 294 twins (71 monozygotic, 76 dizygotic pairs) performing a distance task where neural responses to human figures were compared to cylindrical blocks. Proximal viewing distance of human figures was compared to cylinders facilitated responses in the occipital face area (OFA) and the superficial part of the amygdala, which is consistent with these areas playing a role in monitoring interpersonal distance. Using the classic twin method, we observed a genetic influence on interpersonal distance related activation in the OFA, but not in the amygdala. Results suggest that genetic factors may influence interpersonal distance monitoring via the OFA whereas the amygdala may play a role in experience‐dependent adjustments of interpersonal distance.

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Section: Introductionsupporting

confidence: 81%

Section: Introductionmentioning

confidence: 96%

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A neuroimaging study of interpersonal distance in identical and fraternal twins

Rosén

Kastrati

Kuja‐Halkola

et al. 2022

Human Brain Mapping

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“…Several hypotheses have been put forward to explain the consistent localization of category-selective regions across individuals, including: i) genetics, which may innately determine the location of these regions (Abbasi et al, 2020;McKone et al, 2012;Polk et al, 2007), ii) foveal and peripheral eccentricity biases coupled with consistent viewing demands of certain stimuli (e.g., foveation on words during reading) (Malach 2012;Dehaene 2015;Behrmann and Plautt 2015;Hasson et al, 2002), (iii) the underlying cortical microarchitecture, which is supported by the observation that different category-selective regions are located within different cytoarchitectonic regions of VTC Weiner et al, 2017) and iv) white matter connections, as category-selective regions are part of more extended brain networks and hence need to communicate with other regions across the brain (Haxby et al, 2000;Osher et al, 2016;Papagno et al, 2011;Saygin et al, 2016Saygin et al, , 2012. Note that these hypotheses are not mutually exclusive as all of these factors together may constrain the location of functional regions (e.g., see Behrmann and Plaut, 2015a for a unifying framework).…”

Section: Introductionmentioning

confidence: 99%

White matter fascicles and cortical microstructure predict reading-related responses in human ventral temporal cortex

Grotheer¹,

Yeatman

Grill-Spector³

2020

Preprint

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HighlightsThe ILF, AF and VOF predict the spatial layout of reading-related responses in VTC Gray matter microstructure improves the prediction of reading-related responses Fascicles and gray matter structure together predict the location of the VWFA Abstract Reading-related responses in the lateral ventral temporal cortex (VTC) show a consistent spatial layout across individuals, which is puzzling, since reading skills are acquired during childhood. Here, we tested the hypothesis that white matter fascicles and gray matter microstructure predict the location of reading-related responses in lateral VTC. We obtained functional (fMRI), diffusion (dMRI), and quantitative (qMRI) magnetic resonance imaging data in 30 adults. fMRI was used to map reading-related responses by contrasting responses in a reading task with those in adding and color tasks; dMRI was used to identify the brain's fascicles and to map their endpoints density in lateral VTC; qMRI was used to measure proton relaxation time (T1), which depends on cortical tissue microstructure. We fit linear models that predict readingrelated responses in lateral VTC from endpoint density and T1 and used leave-one-subject-out cross-validation to assess prediction accuracy. First, by using a subset of our participants (N=10, feature selection set), we find that i) endpoint density of the arcuate fasciculus (AF), inferior longitudinal fasciculus (ILF), and vertical occipital fasciculus (VOF) are significant predictors of reading-related responses, and ii) cortical T1 of lateral VTC further improves the predictions of the fascicle model. Next, in the remaining 20 participants (validation set), we showed that a linear model that includes T1, AF, ILF and VOF significantly predicts i) the map of reading-related responses across lateral VTC and ii) the location of the visual word form area, a region critical for reading. Overall, our data-driven approach reveals that the AF, ILF, VOF and cortical microstructure have a consistent spatial relationship with an individual's reading-related responses in lateral VTC.

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“…Moreover, it is suitable for post-surgery follow-up examinations because it provides useful information for various diagnoses without using a contrast agent. In recent years, functional MRI (fMRI) for studying brain functions has been developed, and its application in various fields, such as neuroscience, psychiatry, and psychology, has yielded a considerable amount of research data (Abbasi et al 2020;Achterberg et al 2020;Saker et al 2020). An MRI system uses magnetic fields and radiofrequency (RF) pulses to acquire signals from nuclear spins of protons in a subject and processes the signals to create images.…”

Section: Introductionmentioning

confidence: 99%

Development of a dynamic imaging method for gravitropism in pea sprouts using clinical magnetic resonance imaging system

Nakai

Azuma

Nakaso

et al. 2020

Plant Biotechnology

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Although magnetic resonance imaging (MRI) is a useful technique, only a few studies have investigated the dynamic behavior of small subjects using MRI owing to constraints such as experimental space and signal amount. In this study, to acquire high-resolution continuous three-dimensional gravitropism data of pea (Pisum sativum) sprouts, we developed a small-bore MRI signal receiver coil that can be used in a clinical MRI and adjusted the imaging sequence. It was expected that such an arrangement would improve signal sensitivity and improve the signal-to-noise ratio (SNR) of the acquired image. All MRI experiments were performed using a 3.0-T clinical MRI scanner. An SNR comparison using an agarose gel phantom to confirm the improved performance of the small-bore receiver coil and an imaging experiment of pea sprouts exhibiting gravitropism were performed. The SNRs of the images acquired with a standard 32-channel head coil and the new small-bore receiver coil were 5.23±0.90 and 57.75±12.53, respectively. The SNR of the images recorded using the new coil was approximately 11-fold higher than that of the standard coil. In addition, when the accuracy of MR imaging that captures the movement of pea sprout was verified, the difference in position information from the optical image was found to be small and could be used for measurements. These results of this study enable the application of a clinical MRI system for dynamic plant MRI. We believe that this study is a significant first step in the development of plant MRI technique.

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Genetic influence is linked to cortical morphology in category-selective areas of visual cortex

Cited by 14 publications

References 54 publications

A neuroimaging study of interpersonal distance in identical and fraternal twins

A neuroimaging study of interpersonal distance in identical and fraternal twins

White matter fascicles and cortical microstructure predict reading-related responses in human ventral temporal cortex

Development of a dynamic imaging method for gravitropism in pea sprouts using clinical magnetic resonance imaging system

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