Landmark-based morphometric analysis of first-episode schizophrenia

DeQuardo, John R.; Keshavan, Matcheri S.; Bookstein, Fred L.; Bagwell, W.W.; Green, William D. K.; Sweeney, John A.; Haas, Gretchen L.; Tandon, Rajiv; Schooler, Nina R.; Pettegrew, Jay W.

doi:10.1016/s0006-3223(98)00181-4

Cited by 66 publications

(39 citation statements)

References 39 publications

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“…The studies mentioned as well as the reports of shape differences in the CC 82,90 indicate new avenues for CC investigations that might become prominent in the coming years.…”

Section: Morphological Studiesmentioning

confidence: 88%

Schizophrenia, neurodevelopment and corpus callosum

2003

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The Zeitgeist favors an interpretation of schizophrenia as a condition of abnormal connectivity of cortical neurons, particularly in the prefrontal and temporal cortex. The available evidence points to reduced connectivity, a possible consequence of excessive synaptic pruning in development. A decreased thalamic input to the cerebral cortex appears likely, and developmental studies predict that this decrease should entail a secondary loss of both longand short-range cortico-cortical connections, including connections between the hemispheres. Indeed, morphological, electrophysiological and neuropsychological studies over the last two decades suggest that the callosal connections are altered in schizophrenics. However, the alterations are subtle and sometimes inconsistent across studies, and need to be investigated further with new methodologies.

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“…The studies mentioned as well as the reports of shape differences in the CC 82,90 indicate new avenues for CC investigations that might become prominent in the coming years.…”

Section: Morphological Studiesmentioning

confidence: 88%

Schizophrenia, neurodevelopment and corpus callosum

2003

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“…Magnotta et al, 1999); (2) landmark based shape analysis (e.g. Arndt et al, 1996;Bookstein, 1991Bookstein, , 1997aBuckley et al,1999;Casanova et al,1990;Corson et al,1999a;DeQuardo et al, 1996DeQuardo et al, , 1999Tibbo et al, 1998); (3) surface parametrization techniques for shape extraction (e.g. Brechbühler et al, 1995;Narr et al, 2000); (4) skeletonization techniques for extracting shape (e.g.…”

Section: Summary Of Mri Findings and Future Directions For Researchmentioning

confidence: 99%

A review of MRI findings in schizophrenia

Shenton

Dickey

Frumin

et al. 2001

Schizophrenia Research

2,146

121

1,332

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After more than 100 years of research, the neuropathology of schizophrenia remains unknown and this is despite the fact that both Kraepelin (1919/1971: Kraepelin,E., 1919/1971. Dementia praecox. Churchill Livingston Inc., New York) and Bleuler (1911/1950: Bleuler, E., 1911/1950. Dementia praecox or the group of schizophrenias. International Universities Press, New York), who first described 'dementia praecox' and the ' schizophrenias', were convinced that schizophrenia would ultimately be linked to an organic brain disorder. Alzheimer (1897: Alzheimer, A., 1897. Beitrage zur pathologischen anatomie der hirnrinde und zur anatomischen grundlage einiger psychosen. Monatsschrift fur Psychiarie und Neurologie. 2, 82-120) was the first to investigate the neuropathology of schizophrenia, though he went on to study more tractable brain diseases. The results of subsequent neuropathological studies were disappointing because of conflicting findings. Research interest thus waned and did not flourish again until 1976, following the pivotal computer assisted tomography (CT) finding of lateral ventricular enlargement in schizophrenia by Johnstone and colleagues. Since that time significant progress has been made in brain imaging, particularly with the advent of magnetic resonance imaging (MRI), beginning with the first MRI study of schizophrenia by Smith and coworkers in 1984 (Smith, R.C., Calderon, M., Ravichandran, G. K., et al. (1984). Nuclear magnetic resonance in schizophrenia: A preliminary study. Psychiatry Res. 12, 137-147). MR in vivo imaging of the brain now confirms brain abnormalities in schizophrenia.The 193 peer reviewed MRI studies reported in the current review span the period from 1988 to August, 2000. This 12 year period has witnessed a burgeoning of MRI studies and has led to more definitive findings of brain abnormalities in schizophrenia than any other time period in the history of schizophrenia research. Such progress in defining the neuropathology of schizophrenia is largely due to advances in in vivo MRI techniques. These advances have now led to the identification of a number of brain abnormalities in schizophrenia. Some of these abnormalities confirm earlier postmortem findings, and most are small and subtle, rather than large, thus necessitating more advanced and accurate measurement tools. These findings include ventricular enlargement (80% of studies reviewed) and third ventricle enlargement (73% of studies reviewed). There is also preferential involvement of medial temporal lobe structures (74% of studies reviewed), which include the amygdala, hippocampus, and parahippocampal gyrus, and neocortical temporal lobe regions (superior temporal gyrus) (100% of studies reviewed). When gray and white matter of superior temporal gyrus was combined, 67% of studies reported abnormalities. There was also moderate evidence for frontal lobe abnormalities (59% of studies reviewed), particularly prefrontal gray matter and orbitofrontal regions. Similarly, there was moderate evidence for parietal lobe ab...

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“…Other features besides the voxel values have been considered in morphometrical studies, giving place to specific techniques such as landmark‐based morphometry (DeQuardo et al., 1999), deformation‐based or tensor‐based morphometry (Ashburner et al., 1998), and surface‐based morphometry (Pantazis, Leahy, Nichols, & Styner, 2004). …”

Section: Introductionmentioning

confidence: 99%

Characterization of brain anatomical patterns by comparing region intensity distributions: Applications to the description of Alzheimer's disease

et al. 2018

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PurposeThis work presents an automatic characterization of the Alzheimer's disease describing the illness as a multidirectional departure from a baseline defining the control state, being these directions determined by a distance between functional‐equivalent anatomical regions.MethodsAfter a brain parcellation, a region is described by its histogram of gray levels, and the Earth mover's distance establishes how close or far these regions are. The medoid of the control group is set as the reference and any brain is characterized by its set of distances to this medoid.EvaluationThis hypothesis was assessed by separating groups of patients with mild Alzheimer's disease and mild cognitive impairment from control subjects, using a subset of the Open Access Series of Imaging Studies (OASIS) database. An additional experiment evaluated the method generalization and consisted in training with the OASIS data and testing with the Minimal Interval Resonance Imaging in Alzheimer's disease (MIRIAD) database.ResultsClassification between controls and patients with AD resulted in an equal error rate of 0.1 (90% of sensitivity and specificity at the same time). The automatic ranking of regions resulting is in strong agreement with those regions described as important in clinical practice. Classification with different databases results in a sensitivity of 85% and a specificity of 91%.ConclusionsThis method automatically finds out a multidimensional expression of the AD, which is directly related to the anatomical changes in specific areas such as the hippocampus, the amygdala, the planum temporale, and thalamus.

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Landmark-based morphometric analysis of first-episode schizophrenia

Cited by 66 publications

References 39 publications

Schizophrenia, neurodevelopment and corpus callosum

Schizophrenia, neurodevelopment and corpus callosum

A review of MRI findings in schizophrenia

Characterization of brain anatomical patterns by comparing region intensity distributions: Applications to the description of Alzheimer's disease

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