Predicting Brain Functional Connectivity Using Mobile Sensing
| Autor: | Eilis I Murphy, Elin Hedlund, Alex W. daSilva, Weichen Wang, Courtney Rogers, Shayan Mirjafari, Andrew T. Campbell, Mikio Obuchi, Jeremy F. Huckins, Paul E. Holtzheimer |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
Computer Networks and Communications
media_common.quotation_subject Exploratory research Ventromedial prefrontal cortex 02 engineering and technology Amygdala Article 03 medical and health sciences 0302 clinical medicine Neuroimaging 0202 electrical engineering electronic engineering information engineering medicine Conversation media_common 020207 software engineering Mental illness medicine.disease Human-Computer Interaction medicine.anatomical_structure Hardware and Architecture Anxiety Mobile sensing medicine.symptom Psychology 030217 neurology & neurosurgery Cognitive psychology |
| Zdroj: | Proc ACM Interact Mob Wearable Ubiquitous Technol |
| ISSN: | 2474-9567 |
| Popis: | Brain circuit functioning and connectivity between specific regions allow us to learn, remember, recognize and think as humans. In this paper, we ask the question if mobile sensing from phones can predict brain functional connectivity. We study the brain resting-state functional connectivity (RSFC) between the ventromedial prefrontal cortex (vmPFC) and the amygdala, which has been shown by neuroscientists to be associated with mental illness such as anxiety and depression. We discuss initial results and insights from the NeuroSence study, an exploratory study of 105 first year college students using neuroimaging and mobile sensing across one semester. We observe correlations between several behavioral features from students' mobile phones and connectivity between vmPFC and amygdala, including conversation duration (r=0.365, p |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|