Probabilistic Mapping and Volume Measurement of Human Primary Auditory Cortex

Rademacher, J.; Morosan, Patricia; Schormann, Thorsten; Schleicher, Axel; Werner, Christian W.; Freund, Hans‐Joachim; Zilles, Karl

doi:10.1006/nimg.2000.0714

Cited by 462 publications

(437 citation statements)

References 49 publications

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“…By contrasting signal strength of illusory speech-like sounds (illusion) with acoustically very similar nonspeech sounds (illusion break) in the core (primary) auditory cortex and speech areas (speech ROI), we can perhaps identify functionally distinguishable regions in the auditory cortex. To do this, we first estimated the coordinates of HG by averaging across four separate estimates of the center of either HG (Patterson, Uppenkamp, Johnsrude, & Griffiths, 2002;Penhune, Zatorre, MacDonald, & Evans, 1996) or cytoarchitectonically defined the PAC Rademacher et al, 2001). All four sets of coordinates are published in Patterson et al (2002, Table 1).…”

Section: Perception Of Illusorily Continuous Vowelsmentioning

confidence: 99%

Illusory Vowels Resulting from Perceptual Continuity: A Functional Magnetic Resonance Imaging Study

Heinrich

Carlyon

Davis

et al. 2008

Journal of Cognitive Neuroscience

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Abstract& We used functional magnetic resonance imaging to study the neural processing of vowels whose perception depends on the continuity illusion. Participants heard sequences of twoformant vowels under a number of listening conditions. In the ''vowel conditions,'' both formants were always present simultaneously and the stimuli were perceived as speech-like. Contrasted with a range of nonspeech sounds, these vowels elicited activity in the posterior middle temporal gyrus (MTG) and superior temporal sulcus (STS).

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Section: Perception Of Illusorily Continuous Vowelsmentioning

confidence: 99%

Illusory Vowels Resulting from Perceptual Continuity: A Functional Magnetic Resonance Imaging Study

Heinrich

Carlyon

Davis

et al. 2008

Journal of Cognitive Neuroscience

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“…However, it has been recommended that a probabilistic model be used when characterizing the location of an activated voxel (Fox et al, 1998;Amunts et al, 2000;Rademacher et al, 2001a) due in part to the inherent variability involved in functional neuroimaging data. For instance, variability is introduced during steps such as postprocessing, filtering, motion correction, and normalization.…”

Section: Introductionmentioning

confidence: 99%

“…The ROIs included MPMC (pre-SMA and SMA), LPMC (PMd and PMv) and SMC (M1 and S1). Because it has been recommended that a probabilistic model be used when characterizing the location of an activated voxel (Fox et al, 1998;Amunts et al, 2000;Rademacher et al, 2001a), we then used the activation likelihood estimation (ALE) method developed by Turkeltaub et al (2002) to localize the distributions of the activation foci in stereotaxic space. This technique is based on the assumption that a single coordinate represents a probability distribution, which allows us to determine the likelihood that at least one activation focus lies within any given voxel.…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional locations and boundaries of motor and premotor cortices as defined by functional brain imaging: A meta-analysis

et al. 2006

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The mesial premotor cortex (pre-supplementary motor area and supplementary motor area proper), lateral premotor cortex (dorsal premotor cortex and ventral premotor cortex), and primary sensorimotor cortex (primary motor cortex and primary somatosensory cortex) have been identified as key cortical areas for sensorimotor function. However, the three-dimensional (3-D) anatomic boundaries between these regions remain unclear. In order to clarify the locations and boundaries for these six sensorimotor regions, we surveyed 126 articles describing pre-supplementary motor area, supplementary motor area proper, dorsal premotor cortex, ventral premotor cortex, primary motor cortex, and primary somatosensory cortex. Using strict inclusion criteria, we recorded the reported normalized stereotaxic coordinates (Talairach and Tournoux or MNI) from each experiment. We then computed the probability distributions describing the likelihood of activation, and characterized the shape, extent, and area of each sensorimotor region in 3-D. Additionally, we evaluated the nature of the overlap between the six sensorimotor regions. Using the findings from this meta-analysis, along with suggestions and guidelines of previous researchers, we developed the Human Motor Area Template (HMAT) that can be used for ROI analysis.

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“…Our probability maps are generated by transforming manual parcellations of structural MRIs to a stereotaxic space, avoiding parcellation errors associated with automated methods. With respect to probability maps generated from postmortem brains (Amunts et al, 1999(Amunts et al, , 2000Rademacher et al, 2001b;Talairach and Tournoux, 1988), we note that such brains have volumes that are likely to be reduced by loss of vascular volume or by fixation. It is also hard to generate multiple regions of interest.…”

Section: Probability Maps and Their Applicationmentioning

confidence: 95%

“…Probability maps of planum temporale and primary auditory cortex, using MRI parcellations (Penhune et al, 1996), and primary auditory cortex, using cytoarchitectonic parcellations (Rademacher et al, 2001b), have been published for normal control subjects. However, little is known of the anatomical and distributional abnormalities in these areas and, to our knowledge, no probability maps have been created based on manually delineated ROIs in first-episode schizophrenia.…”

Section: Introductionmentioning

confidence: 99%

An MRI study of spatial probability brain map differences between first-episode schizophrenia and normal controls

Levitt¹,

Shenton²,

Salisbury³

et al. 2004

NeuroImage

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We created a spatial probability atlas of schizophrenia to provide information about the neuroanatomic variability of brain regions of patients with the disorder. Probability maps of 16 regions of interest (ROIs) were constructed by taking manually parcellated ROIs from subjects' magnetic resonance images (MRIs) and linearly transforming them into Talairach space using the Montreal Neurological Institute (MNI) template. ROIs included temporal, parietal, and prefrontal cortex subregions, with a principal focus on temporal lobe structures. Subject Ns ranged from 11 to 28 for the different ROIs. Our global measure of the spatial distribution of the transformed ROI was the sum of voxels with 50% overlap among subjects. The superior temporal gyrus (STG) and fusiform gyrus (FG) had lower values for schizophrenic subjects than for normal controls, suggestive of greater spatial variability for these ROIs in schizophrenic subjects. For the computation of statistical significance of group differences in portions of the ROI, we used voxel-wise comparisons and Fisher's exact test. First-episode schizophrenic patients compared with controls showed lower probability (P < 0.05) at dorso-posterior areas of planum temporale and Heschl's gyrus, lateral and anterior regions in the left hippocampus (HIPP), and dorsolateral regions of fusiform gyrus. Importantly, most ROIs of schizophrenic subjects showed a significantly lower spatial overlap than controls, even after nonlinear spatial normalization, suggesting a greater heterogeneity in the spatial distribution of ROIs. There is consequently a need for caution in neuroimaging studies where data from schizophrenic subjects are normalized to a particular stereotaxic coordinate system based on healthy controls. Apparent group differences in activation may simply reflect a greater heterogeneity of spatial distribution in schizophrenia.

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Probabilistic Mapping and Volume Measurement of Human Primary Auditory Cortex

Cited by 462 publications

References 49 publications

Illusory Vowels Resulting from Perceptual Continuity: A Functional Magnetic Resonance Imaging Study

Illusory Vowels Resulting from Perceptual Continuity: A Functional Magnetic Resonance Imaging Study

Three-dimensional locations and boundaries of motor and premotor cortices as defined by functional brain imaging: A meta-analysis

An MRI study of spatial probability brain map differences between first-episode schizophrenia and normal controls

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