J. Bailey’s research while affiliated with University of Iowa and other places

... Indeed, recent association studies for schizotypy have failed to identify correlations with total hippocampal volume per se [92], while subfield analyses do report effects on particular subregions related to subclinical psychotic-like features [20]. Moreover, studies have found increased [83,84], decreased [93] and no association [94,95] of hippocampal volumes with ASD. One potential source for this inconsistency in results is variation of unmeasured cooccurring subclinical expressions. ...

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Modelling the overlap and divergence of autistic and schizotypal traits on hippocampal subfield volumes and regional cerebral blood flow

... Extracranial tissue was removed using edge detection techniques and manual tracing. The pixels representing the measures of GM, WM and cerebral spinal f luid (CSF) were identified using a multispectral discriminant analysis-based segmentation algorithm applied to the three image sequences described above (T 1 , T 2 , PD) (Harris et al., 1997(Harris et al., , 1999. The segmentation algorithm provides both a discrete classification of tissue into GM, WM and CSF and a continuous classifier that contains partial voluming information. ...

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Brain Volumes and Surface Morphology in Monozygotic Twins

... The theory of evolution is in accordance with the changes in brain weight which have been deduced from archaeological findings in the progression from early to present humans -see Figure 3. Historically measurements of brain weight were related to states of health such as tuberculosis and various types of mental disorder [2]. More recently increased brain size has been found in autism [7,8,9] where white matter volume was increased by 50% more than gray matter in infants [9]. ...

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On the probability distributions of brain weights in men and women

... Previous studies have reported abnormal frontal and temporal lobe growth, altered grey matter, white matter, and amygdala volume in young children with ASD, consistent with current findings [61]. Research in individuals of all ages with ASD has shown both increases and decreases in cortical thickness [62]. For instance, Piven et al. observed reduced cortical thickness in various brain regions, while Hardan et al. found thicker cortical layers in individuals with ASD [63]. ...

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Brain-region specific autism prediction from electroencephalogram signals using graph convolution neural network