Neural Correlates of Induced Motion Perception in the Human Brain

Takemura, Hiromasa; Ashida, Hiroshi; Amano, Kaoru; Kitaoka, Akiyoshi; Murakami, Ikuya

doi:10.1523/jneurosci.0570-12.2012

Cited by 24 publications

(15 citation statements)

References 91 publications

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“…The rate of pRF size increase differs between visual field maps (Figure 1); this observation has now been repeated many times [18, 22–25]. FMRI enables us to measure this fundamental relationship noninvasively in an individual human subject during a half-hour long experiment.…”

Section: The Prf Model For Neuroimagingmentioning

confidence: 99%

Computational neuroimaging and population receptive fields

Wandell

Winawer

2015

Trends in Cognitive Sciences

234

210

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Functional magnetic resonance imaging (fMRI) noninvasively measures human brain activity at millimeter resolution. Scientists use very different approaches to take advantage of the remarkable opportunities presented by fMRI. We describe progress using the computational neuroimaging approach in human visual cortex, which aims to build models that predict the neural responses from the stimulus and task. We focus on a particularly active area of research, the use of population receptive field (pRF) models to characterize human visual cortex responses to a range of stimuli, in a variety of tasks, and in different subject populations.

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Section: The Prf Model For Neuroimagingmentioning

confidence: 99%

Computational neuroimaging and population receptive fields

Wandell

Winawer

2015

Trends in Cognitive Sciences

234

210

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“…The visual motion localizer was added as we found increases in the BOLD signal in MT during processing of non-symbolic numerosities in a previous experiment (Cavdaroglu et al, 2015). The motion localizer was based on the MT localizer described in Takemura et al (2012).…”

Section: Localizer Taskmentioning

confidence: 99%

Evidence for a Posterior Parietal Cortex Contribution to Spatial but not Temporal Numerosity Perception

Cavdaroglu

Knops

2018

Cerebral Cortex

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Posterior parietal cortex (PPC) is thought to encode and represent the number of objects in a visual scene (i.e., numerosity). Whether this representation is shared for simultaneous and sequential stimuli (i.e., mode independency) is debated. We tested the existence of a common neural substrate for the encoding of these modes using fMRI. While both modes elicited overlapping BOLD response in occipital areas, only simultaneous numerosities significantly activated PPC. Unique activation for sequential numerosities was found in bilateral temporal areas. Multivoxel pattern analysis revealed numerosity selectivity in PPC only for simultaneous numerosities and revealed differential encoding of presentation modes. Voxel-wise numerosity tuning functions for simultaneous numerosities in occipital and parietal ROIs revealed increasing numerosity selectivity along an occipito-to-parietal gradient. Our results suggest that the parietal cortex is involved in the extraction of spatial but not temporal numerosity and question the idea of commonly used cortical circuits for a mode-independent numerosity representation.

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“…We identified the border between visual areas (V1, V2, V3, hV4, V3A/B, VO, LO, TO and IPS-0) based on the reversal of polar angle, eccentricity and anatomical landmarks (Press et al 2001;Dougherty et al 2003;Brewer et al 2005;Larsson and Heeger 2006;Amano et al 2009;Witthoft et al 2014;Winawer and Witthoft 2015). Technical details of the method are described in previous publications (Dumoulin and Wandell 2008;Amano et al 2009;Winawer et al 2010;Takemura et al 2012).…”

Section: Cortical Area Identificationmentioning

confidence: 99%

Occipital white matter tracts in human and macaque

Takemura

Pestilli

Weiner

et al. 2016

Preprint

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We compare the major white matter tracts in human and macaque occipital lobe using diffusion MRI. The comparison suggests similarities but also significant differences in spatial arrangement and relative sizes of the tracts. There are several apparently homologous tracts in the two species, including the vertical occipital fasciculus (VOF), optic radiation, forceps major, and inferior longitudinal fasciculus (ILF). There is one large human tract, the inferior fronto-occipital fasciculus, with no corresponding fasciculus in macaque. The macaque VOF is compact and its fibers intertwine with the dorsal segment of the ILF, but the human VOF is much more elongated in the anterior-posterior direction and may be lateral to the ILF. These similarities and differences will be useful in establishing which circuitry in the macaque can serve as an accurate model for human visual cortex. key words: diffusion MRI; white matter; visual cortex; comparative study; vertical occipital fasciculus Third, we describe a difference in the relative position of several, large tracts in the occipital lobe, VOF, ILF, and OR. In both human and macaque, the VOF is clearly located lateral to the OR. However, the macaque VOF intermingles with the dorsal segment of the ILF, while the human VOF is more separated from human ILF in terms of tract position and endpoints. Materials and MethodsThe analyses are based on a diverse set of macaque and human measurements, pooled across several laboratories and public datasets. The datasets have different spatial and angular resolution and image quality. MR data acquisition Macaque diffusion data 1 (subject M1, ex vivo)This dataset was acquired from a post-mortem Macaca mulatta (rhesus macaque monkey) brain using 30-cm magnet bore Bruker 7T scanner at the National Institute of Health. The dMRI data were sampled in 121 directions at a spatial resolution of 250 µm isotropic. The b-value was set to 4800 s/mm 2 and TE was 34 ms. Seven non-diffusion weighted image (b=0) were obtained. These data were analyzed in two previous publications (Thomas et al. 2014;Reveley et al. 2015). Macaque diffusion data 2 (subject M2, in vivo)This dataset was acquired from a living Macaca mulatta (rhesus macaque monkey) brain using a Bruker BIOSPEC 4.7 T vertical bore scanner at Max Planck Institute, Tübingen, Germany. The dMRI data were sampled in 61 different directions at a spatial resolution of 750 µm isotropic. The gradient b-value was 1200 s/mm 2 and TE was 62.65 msec. Seven non-diffusion weighted images (b=0) were acquired at the beginning of the scan. The total imaging time was 6 h 48 min. T1-weighted images at 375 um isotropic resolution were also acquired using a 3D-MDEFT sequence (Lee et al. 1995). Macaque diffusion data 3 (subject M3, ex vivo)This dataset was acquired in a formalin-fixed post-mortem Macaca mulatta (rhesus macaque monkey) brain using a Bruker BIOSPEC 4.7 T vertical bore scanner at Max Planck Institute, Tübingen, Germany. The brain was perfused, removed from the skull, and kept in 4% paraformaldehyde for...

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Neural Correlates of Induced Motion Perception in the Human Brain

Cited by 24 publications

References 91 publications

Computational neuroimaging and population receptive fields

Computational neuroimaging and population receptive fields

Evidence for a Posterior Parietal Cortex Contribution to Spatial but not Temporal Numerosity Perception

Occipital white matter tracts in human and macaque

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