Evaluating and Validating Two Methods for Estimating Brain Structure Volumes: Tessellation and Simple Pixel Counting

Arndt, Stephan; Swayze, Victor W.; Cizadlo, Theodore; O’Leary, Dan; Cohen, Gregg; Yuh, William T. C.; Ehrhardt, James C.; Andreasen, Nancy C.

doi:10.1006/nimg.1994.1004

Cited by 31 publications

(6 citation statements)

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“…Thereafter, the non-zero intensity voxels were automatically counted. The cerebral volume was calculated by multiplying the total voxel counts by the voxel volume (25). …”

Section: Methodsmentioning

confidence: 99%

Structural Brain Abnormalities in Juvenile Myoclonic Epilepsy Patients: Volumetry and Voxel-Based Morphometry

et al. 2006

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ObjectiveWe aimed to find structural brain abnormalities in juvenile myoclonic epilepsy (JME) patients.Materials and MethodsThe volumes of the cerebrum, hippocampus and frontal lobe and the area of the corpus callosum's subdivisions were all semiautomatically measured, and then optimized voxel-based morphometry (VBM) was performed in 19 JME patients and 19 age/gender matched normal controls.ResultsThe rostrum and rostral body of the corpus callosum and the left hippocampus were significantly smaller than those of the normal controls, whereas the volume of the JME's left frontal lobe was significantly larger than that of the controls. The area of the rostral body had a significant positive correlation with the age of seizure onset (r = 0.56, p = 0.012), and the volume of the right frontal lobe had a significant negative correlation with the duration of disease (r = -0.51, p = 0.025). On the VBM, the gray matter concentration of the prefrontal lobe (bilateral gyri rectus, anterior orbital gyri, left anterior middle frontal gyrus and right anterior superior frontal gyrus) was decreased in the JME group (corrected p < 0.05).ConclusionThe JME patients showed complex structural abnormalities in the corpus callosum, frontal lobe and hippocampus, and also a decreased gray matter concentration of the prefrontal region, which all suggests there is an abnormal neural network in the JME brain.

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“…Thereafter, the non-zero intensity voxels were automatically counted. The cerebral volume was calculated by multiplying the total voxel counts by the voxel volume (25). …”

Section: Methodsmentioning

confidence: 99%

Structural Brain Abnormalities in Juvenile Myoclonic Epilepsy Patients: Volumetry and Voxel-Based Morphometry

et al. 2006

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“…Initial image processing to register and align the T1 and PD/T2 scans into a standardized plane was conducted with BRAINS2 software (University of Iowa, Iowa City). [27][28][29][30][31][32][33] All of the scans were registered along an anteroposterior commissure axis. For a small number of scans with suboptimal PD/T2 scan quality, a fitinterleave correction using BRAINS2 was also performed.…”

Section: Image Processingmentioning

confidence: 99%

Magnetic Resonance Imaging and Head Circumference Study of Brain Size in Autism

Hazlett

Poe²,

Gerig³

et al. 2005

Arch Gen Psychiatry

607

506

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“…In a fourth study, we took advantage of advances in MR technology and software development to obtain measurements more empirically and efficiently. Using the locally developed software Brain Research Analysis of Images Networks and Systems (BRAINS) (Cohen et al 1992; Andreasen et al 1993, 1994 b ; Arndt et al 1994; Cizadlo et al 1994), we transformed all brains into the same stereotactic space, using a 6-point linear transformation. We then produced an image of an “average schizophrenic brain” and an “average normal brain,” and then subtracted the two average brains from one another and displayed the result as an effect size map.…”

Section: Nodes Of the Cognitive Dysmetria Networkmentioning

confidence: 99%

"Cognitive Dysmetria" as an Integrative Theory of Schizophrenia: A Dysfunction in Cortical-Subcortical-Cerebellar Circuitry?

Andreasen

Paradiso

O'Leary

1998

Schizophrenia Bulletin

1,080

587

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Earlier efforts to localize the symptoms of schizophrenia in a single brain region have been replaced by models that postulate a disruption in parallel distributed or dynamic circuits. Based on empirical data derived from both magnetic resonance and positron emission tomography, we have developed a model that implicates connectivity among nodes located in prefrontal regions, the thalamic nuclei, and the cerebellum. A disruption in this circuitry produces "cognitive dysmetria," difficulty in prioritizing, processing, coordinating, and responding to information. This "poor mental coordination" is a fundamental cognitive deficit in schizophrenia and can account for its broad diversity of symptoms.

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Evaluating and Validating Two Methods for Estimating Brain Structure Volumes: Tessellation and Simple Pixel Counting

Cited by 31 publications

References 0 publications

Structural Brain Abnormalities in Juvenile Myoclonic Epilepsy Patients: Volumetry and Voxel-Based Morphometry

Structural Brain Abnormalities in Juvenile Myoclonic Epilepsy Patients: Volumetry and Voxel-Based Morphometry

Magnetic Resonance Imaging and Head Circumference Study of Brain Size in Autism

"Cognitive Dysmetria" as an Integrative Theory of Schizophrenia: A Dysfunction in Cortical-Subcortical-Cerebellar Circuitry?

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