The Human Brain

Duvernoy, Henri M.

doi:10.1007/978-3-7091-6792-2

Cited by 417 publications

(112 citation statements)

References 41 publications

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“…Statistical results were thresholded at p<0.05, corrected for multiple comparisons based on the spatial extent of the clusters found using a voxel-level threshold of p<0.001 uncorrected (threshold cluster size = 411 voxels, determined using the fMRI stat toolbox; Worsley et al 2002). The identified regional gray matter differences were anatomically localized using (i) the SPM Anatomy Toolbox (Eickhoff et al 2005) and (ii) a standard atlas of the human brain (Duvernoy 1999) and then used as regions-…”

Section: Vbm Statistical Analysismentioning

confidence: 99%

Right Temporoparietal Gray Matter Predicts Accuracy of Social Perception in the Autism Spectrum

David

Schultz

Milne

et al. 2013

J Autism Dev Disord

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Individuals with an autism spectrum disorder (ASD) show hallmark deficits in social perception. These difficulties might also reflect fundamental deficits in integrating visual signals. We contrasted predictions of a social perception and a spatialndash;temporal integration deficit account. Participants with ASD and matched controls performed two tasks: the first required spatiotemporal integration of global motion signals without social meaning, the second required processing of socially relevant local motion. The ASD group only showed differences to controls in social motion evaluation. In addition, gray matter volume in the temporalndash;parietal junction correlated positively with accuracy in social motion perception in the ASD group. Our findings suggest that socialndash;perceptual difficulties in ASD cannot be reduced to deficits in spatialndash;temporal integration

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Section: Vbm Statistical Analysismentioning

confidence: 99%

Right Temporoparietal Gray Matter Predicts Accuracy of Social Perception in the Autism Spectrum

David

Schultz

Milne

et al. 2013

J Autism Dev Disord

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“…An a priori significance threshold of P < 0.001 (uncorrected at the voxel level, corrected for spatial extent at P < 0.05) was chosen for the main effect of group and all group-by-load interactions. We report all anatomical regions and denominations according to the atlases of Talairach and Tournoux [1988] and Duvernoy [1999]. Coordinates are maxima in a given cluster according to the standard MNI-template.…”

Section: Analysis Of Functional Mri Datamentioning

confidence: 99%

“…This analysis yielded statistical parametric maps (SPMs), based on a voxel-level height threshold of P < 0.001 (familywise error corrected for multiple comparisons). All anatomical regions and denominations are reported according to the atlases of Talairach and Tournoux [1988] and Duvernoy [1999]. Coordinates are maxima in a given cluster according to the standard MNI-template implemented in SPM2.…”

Section: Analysis Of Volumetric Mri Datamentioning

confidence: 99%

Cortical dysfunction in patients with Huntington's disease during working memory performance

Wolf

Vasić

Schönfeldt‐Lecuona

et al. 2008

Human Brain Mapping

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Previous functional neuroimaging studies on executive function suggested multiple functionally aberrant cortical regions in patients with Huntington's disease (HD). However, little is known about the neural mechanisms of working memory (WM) function in this patient population. The objective of this study was to investigate the functional neuroanatomy of WM in HD patients. We used event-related functional magnetic resonance imaging and a parametric verbal WM task to investigate cerebral function during WM performance in 16 healthy control subjects and 12 mild to moderate stage HD patients. We excluded incorrectly performed trials to control for potential accuracy-related activation confounds. Voxel-based morphometry (VBM) was used to control for confounding cortical and subcortical atrophy. We found that HD patients were slower and less accurate than healthy controls across all WM load levels. In addition, HD patients showed lower activation in the left dorso-and ventrolateral prefrontal cortex, the left inferior parietal cortex, the left putamen, and the right cerebellum at high WM load levels only. VBM revealed gray matter differences in the bilateral caudate nucleus and the thalamus, as well as in inferior parietal and right lateral prefrontal regions. However, volumetric abnormalities in the patient group did not affect the activation differences obtained during WM task performance. These findings demonstrate that WM-related functional abnormalities in HD patients involve distinct WM network nodes associated with cognitive control and subvocal rehearsal. Moreover, aberrant cortical function in HD patients may occur in brain regions, which are relatively well preserved in terms of brain atrophy.

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“…No longer are we confined to anatomic divisions defined by cell type or packing density observed using classical histological techniques. Complementing the cytoarchitectural descriptions of (Brodmann, 1909), (von Economo and Koskinas, 1925), (Duvernoy, 1991), (Ono et al, 1990), and (Mai J, 1997) are atlases of chemoarchitecture , neurotransmitters , gene expression patterns (Mansour A, 1995), angioarchitecture (Nowinski et al, 2005), and white matter connections (Mori et al, 2005), among other things.…”

Section: Integrate the Datamentioning

confidence: 96%

“…Atlases such as the (Talairach and Tournoux, 1988) are woefully inadequate as an anatomic reference but did encourage the use and further development of spatial normalization schemes to reduce size and shape variability of brains. Other atlases such as (Ono et al, 1990) and (Duvernoy, 1991 provide far more complete and detailed delineations but either do not provide any principles or algorithms for spatial normalization or Cartesian coordinate systems. And finally, the question of how a single brain based atlas can represent a population is rarely argued anymore.…”

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confidence: 99%

What is where and why it is important

Toga

Thompson

2007

NeuroImage

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The paper by Devlin and Poldrack entitled 'In praise of Tedious Anatomy' deals with an increasingly important topic. Namely, how do we effectively communicate, with appropriate accuracy and precision, the 'where' of our measurements? They make cogent arguments for the use of anatomical maps to reference the location of functionally active regions of brain as measured with fMRI. We agree with this premise and would like to amplify further (with some additional suggestions) the rationale for equating functional measures with observations about structure. But before we do that, it might be useful to first generalize this issue, as one that pertains to 1) comparing data collected across multiple subjects, modalities, experiments and laboratories and 2) integrating this data as a comprehensive whole.Specifying the site of activation, in anatomic terms, is intended (in part) to provide the ability to compare and contrast different studies. The notion of an atlas is, among other things, to help with this localization. Unfortunately many anatomic terms are sometimes interpreted variably and the boundaries of anatomic regions are sometimes in dispute. Given the mostly descriptive history of anatomy, its application, in a traditional sense, to modern volumetric MRI surveys of the brain sometimes produces more problems than it solves. Atlases such as the (Talairach and Tournoux, 1988) are woefully inadequate as an anatomic reference but did encourage the use and further development of spatial normalization schemes to reduce size and shape variability of brains. Other atlases such as (Ono et al., 1990) and (Duvernoy, 1991 provide far more complete and detailed delineations but either do not provide any principles or algorithms for spatial normalization or Cartesian coordinate systems. And finally, the question of how a single brain based atlas can represent a population is rarely argued anymore. Describe Where you areWhat then can facilitate this need to compare and contrast brain image data? We believe this requires more complete descriptions. Just as when we give directions to our house we might say, "… the address is 123 Main street, it's the third house on the left after the intersection, it's a white house with a porch, two stories tall…", etc. If using certain Global Positioning Systems (GPS) we might specify the latitude and longitude, in coordinates. We provide several ways to locate and identify the house. The different descriptions, collectively, make it easy to find and often compare it to others that may be geographically close. In brain mapping, this is difficult because often the only reference we have is an accompanying macroscopic structural MRI. So we might say the site of activation is in Brodmann area 46 or Talairach and Tournoux coordinate (x,y,z) or in the pars opercularis of the inferior frontal gyrus. We might say the

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The Human Brain

Cited by 417 publications

References 41 publications

Right Temporoparietal Gray Matter Predicts Accuracy of Social Perception in the Autism Spectrum

Right Temporoparietal Gray Matter Predicts Accuracy of Social Perception in the Autism Spectrum

Cortical dysfunction in patients with Huntington's disease during working memory performance

What is where and why it is important

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