Human V5/MT+: comparison of functional and cytoarchitectonic data

Wilms, Marcus; Eickhoff, Simon B.; Specht, Karsten; Amunts, Katrin; Shah, N. Jon; Maliković, Aleksandar; Fink, Gereon R.

doi:10.1007/s00429-005-0064-y

Cited by 80 publications

(74 citation statements)

References 39 publications

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“…Area V5/ HMTϩ, a visual region that strongly responds to visual motion (Wilms et al, 2005), was strongly activated during the delay period in the right hemisphere, and motor regions (Yousry et al, 1997) were consistently active during the paradigm. Both visual and motor activations illustrate that considerable BOLD responses were present, in line with our expectations.…”

Section: Absence Of Univariate Signals Indicating the Task Conditionmentioning

confidence: 97%

Visuomotor Functional Network Topology Predicts Upcoming Tasks

Heinzle¹,

Wenzel²,

Haynes³

2012

Journal of Neuroscience

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It is a vital ability of humans to flexibly adapt their behavior to different environmental situations. Constantly, the rules for our sensoryto-motor mappings need to be adapted to the current task demands. For example, the same sensory input might require two different motor responses depending on the actual situation. How does the brain prepare for such different responses? It has been suggested that the functional connections within cortex are biased according to the present rule to guide the flow of information in accordance with the required sensory-to-motor mapping. Here, we investigated with fMRI whether task settings might indeed change the functional connectivity structure in a large-scale brain network. Subjects performed a visuomotor response task that required an interaction between visual and motor cortex: either within each hemisphere or across the two hemispheres of the brain depending on the task condition. A multivariate analysis on the functional connectivity graph of a cortical visuomotor network revealed that the functional integration, i.e., the connectivity structure, is altered according to the task condition already during a preparatory period before the visual cue and the actual movement. Our results show that the topology of connection weights within a single network changes according to and thus predicts the upcoming task. This suggests that the human brain prepares to respond in different conditions by altering its large scale functional connectivity structure even before an action is required.

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Section: Absence Of Univariate Signals Indicating the Task Conditionmentioning

confidence: 97%

Visuomotor Functional Network Topology Predicts Upcoming Tasks

Heinzle¹,

Wenzel²,

Haynes³

2012

Journal of Neuroscience

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“…These regions showing this enhanced connectivity with the cerebellum where almost exclusively located in the dorsal visual stream (including V5 and PPC), which is associated with spatial localization of objects (PPC: Corradi-Dell' Acqua et al, 2008;Lane et al, 2011), motion perception (V5: Wilms et al, 2005;Orban, 2011) and spatial attention (PPC: Fan et al, 2005;Malhotra et al, 2009;Rawley and Constantinidis, 2010;Kellermann et al, 2011;Lane et al, 2012). Before we turn to the discussion of the consequential analyses of dynamic causal modeling, we briefly review some theoretical considerations regarding the functionality of the cerebellum.…”

Section: Discussionmentioning

confidence: 99%

Effective Connectivity of the Human Cerebellum during Visual Attention

et al. 2012

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Insights from both lesion and neuroimaging studies increasingly substantiate the view that the human cerebellum not only serves motor control but also supports various cognitive processes. Higher cognitive functions like working memory or executive control have been associated with the phylogenetically younger parts of the cerebellum, crus I and crus II. Functional connectivity studies corroborate this notion as activation of the cerebellum correlates with activity in numerous areas of the cerebral cortex. Moreover, these cerebrocerebellar loops were shown to be topographically organized. We used an attention-to-motion paradigm to elaborate on the effective connectivity of cerebellar crus I during visual attention. Psychophysiological interaction analyses demonstrated enhanced connectivity of the cerebellum-during attention-with dorsal visual stream regions including posterior parietal cortex (PPC) and left secondary visual cortex (V5). Dynamic causal modeling revealed a modulation of the connections from V5 to PPC and from crus I to V5 by attention. Remarkably, the influence which V5 exerted on PPC was reduced during attention, resulting in a suppression of the sensitivity of PPC to bottom-up information. Moreover, the sensitivity of V5 populations to inputs from crus I was increased under attention. This might underscore the presumed role of the cerebellum as a state estimator that provides hierarchically lower regions (V5) with top-down predictions, which in turn might be based on endogenous inputs from PPC to the cerebellum. These results are in line with formulations of attention in predictive coding, where attention increases the precision or sensitivity of hierarchically lower neuronal populations that may encode prediction error.

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“…Over the past decade, the Amunts and Zilles group has produced maps of many cytoarchitectonically delineated cortical areas in one group of ten ex vivo human brains (Amunts et al, 1999;Geyer et al, 1999;Amunts et al, 2000;Grefkes et al, 2001;Morosan et al, 2001;Rademacher et al, 2001b,a;Amunts et al, 2005;Wilms et al, 2005;Caspers et al, 2006;Eickhoff et al, 2007). The results of these studies allowed an overall analysis of the relationship between prominent cortical folds and the location of area boundaries .…”

Section: Predicting the Location Of Other Cortical Areasmentioning

confidence: 99%

“…Low alignment quality was reported for inferior parietal cortical areas (Caspers et al, 2006), the middle temporal area (MT) (Wilms et al, 2005), motor cortical areas (Rademacher et al, 2001a), somatosensory cortical areas (Geyer et al, 1999;Grefkes et al, 2001;Eickhoff et al, 2007), the primary auditory cortex (Rademacher et al, 2001b;Morosan et al, 2001), and Broca's region (Amunts et al, 1999). Less variability was observed in the location of amygdalar, hippocampal, and entorhinal allocortical regions , although variability was still substantial.…”

Section: Alignment Of Cortical Areasmentioning

confidence: 99%

“…These volume-based intersubject registration techniques were used to build a probabilistic atlas of human primary visual cortex (V1) (Amunts et al, 2000), as well as a number of other cortical areas (Amunts et al, 1999;Geyer et al, 1999;Grefkes et al, 2001;Morosan et al, 2001;Rademacher et al, 2001b,a;Eickhoff et al, 2007;Amunts et al, 2005;Wilms et al, 2005;Caspers et al, 2006). These studies represent the only probabilistic atlases of cortical areas delineated anatomically.…”

Section: Introductionmentioning

confidence: 99%

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Accurate prediction of V1 location from cortical folds in a surface coordinate system

et al. 2008

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Previous studies demonstrated substantial variability of the location of primary visual cortex (V1) in stereotaxic coordinates when linear volume-based registration is used to match volumetric image intensities (Amunts et al., 2000). However, other qualitative reports of V1 location (Smith, 1904;Stensaas et al., 1974;Rademacher et al., 1993) suggested a consistent relationship between V1 and the surrounding cortical folds. Here, the relationship between folds and the location of V1 is quantified using surface-based analysis to generate a probabilistic atlas of human V1. High-resolution (about 200 μm) magnetic resonance imaging (MRI) at 7 T of ex vivo human cerebral hemispheres allowed identification of the full area via the stria of Gennari: a myeloarchitectonic feature specific to V1. Separate, whole-brain scans were acquired using MRI at 1.5 T to allow segmentation and mesh reconstruction of the cortical gray matter. For each individual, V1 was manually identified in the high-resolution volume and projected onto the cortical surface. Surface-based intersubject registration (Fischl et al., 1999b) was performed to align the primary cortical folds of individual hemispheres to those of a reference template representing the average folding pattern. An atlas of V1 location was constructed by computing the probability of V1 inclusion for each cortical location in the template space. This probabilistic atlas of V1 exhibits low prediction error compared to previous V1 probabilistic atlases built in volumetric coordinates. The increased predictability observed under surface-based registration suggests that the location of V1 is more accurately predicted by the cortical folds than by the shape of the brain embedded in the volume of the skull. In addition, the high quality of this atlas provides direct evidence that surface-based intersubject registration methods are superior to volume-based methods at superimposing functional areas of cortex, and therefore are better suited to support multi-subject averaging for functional imaging experiments targeting the cerebral cortex.

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Human V5/MT+: comparison of functional and cytoarchitectonic data

Cited by 80 publications

References 39 publications

Visuomotor Functional Network Topology Predicts Upcoming Tasks

Visuomotor Functional Network Topology Predicts Upcoming Tasks

Effective Connectivity of the Human Cerebellum during Visual Attention

Accurate prediction of V1 location from cortical folds in a surface coordinate system

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