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Dive into the research topics where Andrew E. Switala is active.

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Featured researches published by Andrew E. Switala.


Neurology | 2002

Minicolumnar pathology in autism

Manuel F. Casanova; Daniel P. Buxhoeveden; Andrew E. Switala; Emil Roy

ObjectiveTo determine whether differences exist in the configuration of minicolumns between the brains of autistic and control patients. Background Autism is a severe and pervasive developmental disturbance of childhood characterized by disturbances in both social interactions and communication, as well as stereotyped patterns of interests, activities, and behaviors. Postmortem neuropathologic studies remain inconclusive. MethodsThe authors used a computerized imaging program to measure details of cell column morphologic features in area 9 of the prefrontal cortex and areas 21 and posterior 22 (Tpt) within the temporal lobe of nine brains of autistic patients and controls. ResultsThe authors found significant differences between brains of autistic patients and controls in the number of minicolumns, in the horizontal spacing that separates cell columns, and in their internal structure, that is, relative dispersion of cells. Specifically, cell columns in brains of autistic patients were more numerous, smaller, and less compact in their cellular configuration with reduced neuropil space in the periphery. ConclusionsIn autism, there are minicolumnar abnormalities in the frontal and temporal lobes of the brain.


Brain Behavior and Evolution | 2001

Lateralization of Minicolumns in Human Planum temporale Is Absent in Nonhuman Primate Cortex

Daniel P. Buxhoeveden; Andrew E. Switala; Mark S. Litaker; Emil Roy; Manuel F. Casanova

Gross analyses of large brain areas, as in MRI studies of macroanatomical structures, average subtle alterations in small regions, inadvertently missing significant anomalies. We developed a computerized imaging program to microscopically examine minicolumns and used it to study Nissl-stained slides of normal human, chimpanzee, and rhesus monkey brains in a region of the planum temporale. With this method, we measured the width of cell columns, the peripheral neuropil space, the spacing density of neurons within columns, and the Gray Level index per minicolumn. Only human brain tissue revealed robust asymmetry in two aspects of minicolumn morphology: wider columns and more neuropil space on the left side. This asymmetry was absent in chimpanzee and rhesus monkey brains.


Journal of Child Neurology | 2002

Neuronal Density and Architecture (Gray Level Index) in the Brains of Autistic Patients

Manuel F. Casanova; Daniel P. Buxhoeveden; Andrew E. Switala; Emil Roy

Although neuropathologic studies have centered on small samples, it is accepted that brains of autistic individuals tend to be large, on average. Knowledge regarding the cause of this macrocephaly is limited. Postmortem studies reveal little in terms of cortical dysplasia. Some of these studies suggest increased cell-packing density in subcortical structures. These neuronomorphometric studies have been subjective or based their conclusions on measures of neuronal density. Our study sought the possible presence of increased cell-packing density by using the Gray Level Index. The Gray Level Index is defined as the ratio of the area covered by Nissl-stained elements to unstained area in postmortem samples. Analyzed images included Brodmanns cortical areas 9, 21, and 22 of 9 autistic patients (7 males, 2 females; mean age of 12 years, with a range of 5 to 28 years) and 11 normal controls (7 males, 4 females; mean age of 14 years, with a range of 3 to 25 years). The overall multivariate test revealed significant differences both between autistic patients and controls (P = .001) and between hemispheres (P = .025). Follow-up univariate tests showed significant diagnosis-dependent effects in feature distance (P = .005), the standard deviation in distance (P = .016), and feature amplitude (P = .001). The overall mean Gray Level Index was 19.4% in controls and 18.7% in autism (P = .724). In autism, an increased number of minicolumns, combined with fewer cells per column (or their greater dispersion), results in no global difference in neuronal density. (J Child Neurol 2002;17:515-521).


Journal of Child Neurology | 2002

Asperger's Syndrome and Cortical Neuropathology

Manuel F. Casanova; Daniel P. Buxhoeveden; Andrew E. Switala; Emil Roy

Aspergers disorder or syndrome is characterized by impaired social interaction, normal intelligence, and adequate language skills in the areas of grammar and vocabulary. The symptoms are pervasive in nature and usually manifested in childhood. Despite the gravity and chronicity of the condition, the medical literature remains sparse and offers no information about possible neuropathologic underpinnings. The present study is a case report on two patients with Aspergers syndrome. Neuropathologic examination revealed no degenerative changes or gliosis. A more detailed assessment with computerized image analysis indicated abnormalities in the minicolumnar organization of the three areas examined (9, 21, 22) (P = .032). Specifically, minicolumns were smaller, and their component cells were more dispersed than normal. A similar neuropathology has recently been reported for autism and disputes the uniqueness of these findings. The minicolumnar changes provide a possible link to receptive field abnormalities and a useful clinicopathologic correlate to Aspergers syndrome. (J Child Neurol 2002;17:142-145).


Acta neuropathologica communications | 2013

Focal cortical dysplasias in autism spectrum disorders

Manuel F. Casanova; Ayman El-Baz; Shweta Sunil Kamat; Brynn A. Dombroski; Fahmi Khalifa; Ahmed Elnakib; Ahmed Soliman; Anita Allison-McNutt; Andrew E. Switala

BackgroundPrevious reports indicate the presence of histological abnormalities in the brains of individuals with autism spectrum disorders (ASD) suggestive of a dysplastic process. In this study we identified areas of abnormal cortical thinning within the cerebral cortex of ASD individuals and examined the same for neuronal morphometric abnormalities by using computerized image analysis.ResultsThe study analyzed celloidin-embedded and Nissl-stained serial full coronal brain sections of 7 autistic (ADI-R diagnosed) and 7 age/sex-matched neurotypicals. Sections were scanned and manually segmented before implementing an algorithm using Laplace’s equation to measure cortical width. Identified areas were then subjected to analysis for neuronal morphometry. Results of our study indicate the presence within our ASD population of circumscribed foci of diminished cortical width that varied among affected individuals both in terms of location and overall size with the frontal lobes being particularly involved. Spatial statistic indicated a reduction in size of neurons within affected areas. Granulometry confirmed the presence of smaller pyramidal cells and suggested a concomitant reduction in the total number of interneurons.ConclusionsThe neuropathology is consistent with a diagnosis of focal cortical dysplasia (FCD). Results from the medical literature (e.g., heterotopias) and our own study suggest that the genesis of this cortical malformation seemingly resides in the heterochronic divisions of periventricular germinal cells. The end result is that during corticogenesis radially migrating neuroblasts (future pyramidal cells) are desynchronized in their development from those that follow a tangential route (interneurons). The possible presence of a pathological mechanism in common among different conditions expressing an autism-like phenotype argue in favor of considering ASD a “sequence” rather than a syndrome. Focal cortical dysplasias in ASD may serve to explain the high prevalence of seizures and sensory abnormalities in this patient population.


Journal of Autism and Developmental Disorders | 2009

Reduced Gyral Window and Corpus Callosum Size in Autism: Possible Macroscopic Correlates of a Minicolumnopathy

Manuel F. Casanova; Ayman El-Baz; Meghan Mott; Glenn Mannheim; Hossam Hassan; Rachid Fahmi; Jay N. Giedd; Judith M. Rumsey; Andrew E. Switala; Aly A. Farag

Minicolumnar changes that generalize throughout a significant portion of the cortex have macroscopic structural correlates that may be visualized with modern structural neuroimaging techniques. In magnetic resonance images (MRIs) of fourteen autistic patients and 28 controls, the present study found macroscopic morphological correlates to recent neuropathological findings suggesting a minicolumnopathy in autism. Autistic patients manifested a significant reduction in the aperture for afferent/efferent cortical connections, i.e., gyral window. Furthermore, the size of the gyral window directly correlated to the size of the corpus callosum. A reduced gyral window constrains the possible size of projection fibers and biases connectivity towards shorter corticocortical fibers at the expense of longer association/commisural fibers. The findings may help explain abnormalities in motor skill development, differences in postnatal brain growth, and the regression of acquired functions observed in some autistic patients.


Brain Pathology | 2010

A Topographic Study of Minicolumnar Core Width by Lamina Comparison between Autistic Subjects and Controls: Possible Minicolumnar Disruption due to an Anatomical Element In‐Common to Multiple Laminae

Manuel F. Casanova; Ayman El-Baz; Eric Vanbogaert; Praveen Narahari; Andrew E. Switala

Radial cell minicolumns are basic cytoarchitectonic motifs of the mammalian neocortex. Recent studies reveal that autism is associated with a “minicolumnopathy” defined by decreased columnar width and both a diminished and disrupted peripheral neuropil compartment. This study further characterizes this cortical deficit by comparing minicolumnar widths across layers. Brains from seven autistic patients and an equal number of age‐matched controls were celloidin embedded, serially sectioned at 200 µm and Nissl stained with gallocyanin. Photomicrograph mosaics of the cortex were analyzed with computerized imaging methods to determine minicolumnar width at nine separate neocortical areas: Brodmann Areas (BA) 3b, 4, 9, 10, 11, 17, 24, 43 and 44. Each area was assessed at supragranular, granular and infragranular levels. Autistic subjects had smaller minicolumns whose dimensions varied according to neocortical area. The greatest difference between autistic and control groups was observed in area 44. The interaction of diagnosis × cortical area × lamina (F16,316 = 1.33; P = 0.175) was not significant. Diminished minicolumnar width across deep and superficial neocortical layers most probably reflects involvement of shared constituents among the different layers. In this article we discuss the possible role of double bouquet and pyramidal cells in the translaminar minicolumnar width narrowing observed in autistic subjects.


Annals of Neurology | 2002

Minicolumnar pathology in dyslexia.

Manuel F. Casanova; Daniel P. Buxhoeveden; Morris J. Cohen; Andrew E. Switala; Emil Roy

The minicolumn is an anatomical and functional unit of the brain whose genesis accrues from germinal cell divisions in the ventricular zone of the brain. Disturbances in the morphometry of minicolumns have been demonstrated recently for both autism and Downs syndrome. We report minicolumnar abnormalities in the brain of a dyslexic patient. The corresponding developmental disturbance (ie, large minicolumns) could account for the perceptual errors observed in dyslexia.


Journal of Neuroscience Methods | 2000

Quantitative analysis of cell columns in the cerebral cortex.

Daniel P. Buxhoeveden; Andrew E. Switala; Emil Roy; Manuel F. Casanova

We present a quantified imaging method that describes the cell column in mammalian cortex. The minicolumn is an ideal template with which to examine cortical organization because it is a basic unit of function, complete in itself, which interacts with adjacent and distance columns to form more complex levels of organization. The subtle details of columnar anatomy should reflect physiological changes that have occurred in evolution as well as those that might be caused by pathologies in the brain. In this semiautomatic method, images of Nissl-stained tissue are digitized or scanned into a computer imaging system. The software detects the presence of cell columns and describes details of their morphology and of the surrounding space. Columns are detected automatically on the basis of cell-poor and cell-rich areas using a Gaussian distribution. A line is fit to the cell centers by least squares analysis. The line becomes the center of the column from which the precise location of every cell can be measured. On this basis several algorithms describe the distribution of cells from the center line and in relation to the available surrounding space. Other algorithms use cluster analyses to determine the spatial orientation of every column.


Autism | 2011

Quantitative analysis of the shape of the corpus callosum in patients with autism and comparison individuals

Manuel F. Casanova; Ayman El-Baz; Ahmed Elnakib; Andrew E. Switala; Emily L. Williams; Diane L. Williams; Nancy J. Minshew; Thomas E. Conturo

Multiple studies suggest that the corpus callosum in patients with autism is reduced in size. This study attempts to elucidate the nature of this morphometric abnormality by analyzing the shape of this structure in 17 high-functioning patients with autism and an equal number of comparison participants matched for age, sex, IQ, and handedness. The corpus callosum was segmented from T1 weighted images acquired with a Siemens 1.5 T scanner. Transformed coordinates of the curvilinear axis were aggregated into a parametric map and compared across series to derive regions of statistical significance. Our results indicate that a reduction in size of the corpus callosum occurs over all of its subdivisions (genu, body, splenium) in patients with autism. Since the commissural fibers that traverse the different anatomical compartments of the corpus callosum originate in disparate brain regions our results suggest the presence of widely distributed cortical abnormalities in people with autism.

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Manuel F. Casanova

University of South Carolina

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Ayman El-Baz

University of Louisville

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Ahmed Elnakib

University of Louisville

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Emil Roy

Georgia Regents University

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Juan Trippe

University of Louisville

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Fahmi Khalifa

University of Louisville

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