Validation of the structured interview section of the penn computerized adaptive test for neurocognitive and clinical psychopathology assessment (CAT GOASSESS)

Zoupou, Eirini; Moore, Tyler M.; Kennedy, Kelly P.; Calkins, Monica E.; Gorgone, Alesandra; Sandro, Akira Di; Rush, Sage; Lopez, Katherine C.; Ruparel, Kosha; Daryoush, Tarlan; Okoyeh, Paul; Savino, Andrew; Troyan, Scott; Wolf, Daniel H.; Scott, J. Cobb; Gur, Raquel E.; Gur, Ruben C.

doi:10.1016/j.psychres.2024.115862

Cited by 2 publications

References 83 publications

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Investigating Mood and Cognition in People with Multiple Sclerosis: A Prospective Study Protocol

Cooper,

Schindler,

Bar-Or

et al. 2024

Preprint

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Introduction Multiple sclerosis (MS) is an immune-mediated neurological disorder that affects one million people in the United States. Up to 50% of people with MS experience depression, yet the mechanisms of depression in MS remain under-investigated. Studies of medically healthy participants with depression have described associations between white matter variability and depressive symptoms, but frequently exclude participants with medical comorbidities and thus cannot be extrapolated to people with intracranial diseases. White matter lesions are a key pathologic feature of MS and could disrupt pathways involved in depression symptoms. The purpose of this study is to investigate the impact of brain network disruption on depression using MS as a model. Methods and Analysis We will obtain structured clinical and cognitive assessments from two hundred fifty participants with MS and prospectively evaluate white matter lesion burden as a predictor of depressive symptoms. Ethics and Dissemination Ethics approval was obtained from The University of Pennsylvania Institutional Review Board (Protocol #853883). The results of this study will be presented at scientific meetings and conferences and published in peer-reviewed journals.

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Investigating Mood and Cognition in People with Multiple Sclerosis: A Prospective Study Protocol

Cooper,

Schindler,

Bar-Or

et al. 2024

Preprint

View full text Add to dashboard Cite

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Multidimensional Hybrid Computerized Adaptive Testing Based on Multidimensional Item Response Theory

Shao,

Sun,

et al. 2024

IEEE Access

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Validation of the structured interview section of the penn computerized adaptive test for neurocognitive and clinical psychopathology assessment (CAT GOASSESS)

Cited by 2 publications

References 83 publications

Investigating Mood and Cognition in People with Multiple Sclerosis: A Prospective Study Protocol

Investigating Mood and Cognition in People with Multiple Sclerosis: A Prospective Study Protocol

Multidimensional Hybrid Computerized Adaptive Testing Based on Multidimensional Item Response Theory

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