A-57 The Neuropsychological Impact of Antiphospholipid Antibody Syndrome: A Case Study

Objective Antiphospholipid Antibody Syndrome (APS), also known as Hughes Syndrome, is an autoimmune condition linked to various adverse medical and neurological outcomes affecting 5 in 100,000. APS results from antibodies (aPL) that attack blood proteins that bind to phospholipids (e.g., 2-glycoprotein I and prothrombin), which can cause blood flow problems, increased risk of blood clots, and recurrent vascular thrombotic events. Research suggests APS may lead to various neurologic/medical issues including memory loss, visual disturbances, and dementia. Method Neuropsychological evaluation of 48-year-old female with triple-positive APS and history of bilateral superior parietal chronic ischemic infarctions, multiple bilateral lacunar infarctions, and bilateral encephalomalacia. Reports progressive cognitive changes (< 1 year). Results Neuropsychological evaluation evidenced low average premorbid functioning and currently, extremely low overall cognitive ability. Memory was variable with significant visual and working memory impairment but preserved delayed recall of contextual information. While verbal abilities were intact, deficits were noted in executive functioning, attention, processing speed, visuomotor, visual–spatial, and fine motor skills. Conclusion This 48-year-old woman’s cognitive profile is consistent with findings in the APS literature and is indicative of an early onset major vascular neurocognitive disorder. Retrospective studies suggest that cognitive deficits often precede somatic symptoms of APS and abnormal neuroimaging findings; she presents atypically, as somatic symptoms and abnormal neuroimaging preceded cognitive decline. This case adds to the limited body of neuropsychological data regarding the effects of APS on cognitive functioning, as the pathogenesis of cognitive impairment in APS is unclear and leads to questions regarding differences in, and trajectories of, cognitive deficits in APS.

A-52 Evolving Cognitive and Neuropsychiatric Sequelae of Ruptured Arteriovenous Malformation Following Neurosurgical Intervention

Objective Arteriovenous malformations (AVMs) are tangled masses of arteries and veins of congenital origin. AVMs are rare (~4.3% in the general population) and symptomatic cases are rarer still (0.1–1%). AVMs account for strokes in 1–2% of cases. We present the case of a 59-year-old, right-handed, Caucasian male, with nine years of formal education, who was evaluated as an inpatient following a ruptured AVM. Method Patient with known history of AVM (Figure 1) presented with headache and new onset seizure. Computerized tomography (CT) revealed rupture of an AVM at the right temporal-occipital junction, with resulting intraparenchymal hemorrhage within the right parieto-occipital lobe and the right ventricular system and 0.8 cm left midline shift (Figure 2). The patient underwent emergency craniotomy for evacuation of intracerebral hematoma, resection of AVM, and placement of right external ventricular drain (EVD). Electroencephalograom (EEG) revealed focal cortical dysfunction over the right hemisphere and moderate encephalopathy. Results (Table 1). Neuropsychological evaluation six days following emergency craniotomy revealed primary impairment in visuoperceptual and visuoconstructional skills (including left neglect; Figures 3 & 4), impairments in working memory, learning/memory of verbal information (with intact recognition), as well as impairment in aspects of language (semantic fluency). These were accompanied by dense anosagnosia pertaining to cognitive deficits, but intact insight related to his hospitalization. Conclusions This is a rare case of symptomatic AVM with neuropsychological evaluation data highlighting the associated evolving cognitive (e.g., left neglect and visuoperceptual disturbance) and neuropsychiatric deficits (e.g., dense anosagnosia) in the context of recent neurosurgical interventions (e.g., evacuation of hemorrhage, placement of EVD, etc.).

A-168 Neural Network for the Virtual Environment Grocery Store for Detection of Neurocognitive Impairment among Older Adults

Objective Virtual reality-based neuropsychological tests offer the ability to capture a variety of data while enabling standardized administration. The purpose of this study was to create an artificial neural network to examine the predictability of the Virtual Environment Grocery Store (VEGS) for neurocognitive impairment among older adults. Method Older adults (N = 71; age 55–90, M = 74.38, SD = 8.32; 13 with a neurocognitive diagnosis and 58 without) completed the VEGS as part of a neuropsychological evaluation. Results The multilayer perceptron found a model which had a 3.4% error rate. The VEGS sum of the learning trials was the most important predictor of this model (i = 0.45). Conclusion Results suggest that the VEGS is sensitive to detecting neurocognitive impairment among older adults, with the sum of the learning trials making a substantial contribution to the model’s accuracy.