Investigating the clinico-anatomical dissociation in the behavioral variant of Alzheimer disease

BACKGROUND: We previously found temporoparietal-predominant atrophy patterns in the behavioral variant of Alzheimer's disease (bvAD), with relative sparing of frontal regions. Here, we aimed to understand the clinico-anatomical dissociation in bvAD based on alternative neuroimaging markers. METHODS: We retrospectively included 150 participants, including 29 bvAD, 28 "typical" amnestic-predominant AD (tAD), 28 behavioral variant of frontotemporal dementia (bvFTD), and 65 cognitively normal participants. Patients with bvAD were compared with other diagnostic groups on glucose metabolism and metabolic connectivity measured by [18F]FDG-PET, and on subcortical gray matter and white matter hyperintensity (WMH) volumes measured by MRI. A receiver-operating-characteristic-analysis was performed to determine the neuroimaging measures with highest diagnostic accuracy. RESULTS: bvAD and tAD showed predominant temporoparietal hypometabolism compared to controls, and did not differ in direct contrasts. However, overlaying statistical maps from contrasts between patients and controls revealed broader frontoinsular hypometabolism in bvAD than tAD, partially overlapping with bvFTD. bvAD showed greater anterior default mode network (DMN) involvement than tAD, mimicking bvFTD, and reduced connectivity of the posterior cingulate cortex with prefrontal regions. Analyses of WMH and subcortical volume showed closer resemblance of bvAD to tAD than to bvFTD, and larger amygdalar volumes in bvAD than tAD respectively. The top-3 discriminators for bvAD vs. bvFTD were FDG posterior-DMN-ratios (bvADbvFTD, area under the curve [AUC] range 0.85-0.91, all p tAD), MRI anterior-DMN-ratios (bvAD<tAD), FDG anterior-DMN-ratios (bvAD<tAD, AUC range 0.71-0.84, all p < 0.05). CONCLUSIONS: Subtle frontoinsular hypometabolism and anterior DMN involvement may underlie the prominent behavioral phenotype in bvAD

Technology-Supported Models for Individuals with Autism Spectrum Disorder

Autism can be defined as a common developmental disorder that manifests itself as a disconnection in social communication. In individuals with autism, sometimes speech does not develop at all, and even if it develops, the individual does not prefer to communicate by talking. Thus, other ways are needed to communicate with individuals with autism. Today, the most important of these ways is technology, especially educational technology. The use of technology for individuals with Autism spectrum disorder (ASD) is on the rise today. The purpose of this study was to present up-to-date information on research using technology-based intervention methods in teaching skills in different developmental areas to individuals from different age groups with ASD and to reveal whether this intervention method is effective. This study was carried out using qualitative research methodology, document analysis and related content analysis. Scopus is based on the analysis of published documents searched with the keywords ‘autism and technology-based’ in the database. All articles published in Scopus were examined. The distribution of affiliated universities by years, subject areas, document types, country/regions and author themes were examined. Various findings emerged in terms of determining the importance of the analysis of technology-supported applications in terms of content of individuals published in the Scopus database on individuals with ASD. A total of 95 studies were examined. It was concluded that most of the studies were conducted in 2016 and 2019. It revealed that the first study was conducted in 2008. It was mostly published as a conference announcement. The United States and United Kingdom are among the countries with the most research. The research topics were written mostly in English, and two were published in French

Synapsin-antibodies in psychiatric and neurological disorders: prevalence and clinical findings

OBJECTIVE: To study the prevalence of autoantibodies to synapsin in patients with psychiatric and neurological disorders and to describe clinical findings in synapsin antibody positive patients. METHODS: Sera of 375 patients with different psychiatric and neurological disorders and sera of 97 healthy controls were screened (dilution 1:320) for anti-synapsin IgG using HEK293 cells transfected with rat synapsin Ia. Positive sera were further analyzed by immunoblots with brain tissue from wild type and synapsin knock out mice and with HEK293 cells transfected with human synapsin Ia and Ib. Binding of synapsin IgG positive sera to primary neurons was studied using murine hippocampal neurons. RESULTS: IgG in serum from 23 (6.1%) of 375 patients, but from none of the 97 healthy controls (p=0.007), bound to rat synapsin Ia transfected cells with a median (range) titer of 1:1000 (1:320 -1:100,000). Twelve of the 23 positive sera reacted with a protein of the molecular size of synapsin I in immunoblots of wild type but not of synapsin knock out mouse brain tissue. Out of 19/23 positive sera available for testing, 13 bound to human synapsin Ia and 16 to human synapsin 1b transfected cells. Synapsin IgG positive sera stained fixed and permeabilized murine hippocampal neurons. Synapsin IgG positive patients had various psychiatric and neurological disorders. Tumors were documented in 2 patients (melanoma, small cell lung carcinoma); concomitant anti-neuronal or other autoantibodies were present in 8 patients. CONCLUSIONS: Autoantibodies to human synapsin Ia and Ib are detectable in a proportion of sera from patients with different psychiatric and neurological disorders, warranting further investigation into the potential pathophysiological relevance of these antibodies