SOURCE-LINKED INTELLIGENCE

Decoding Tinnitus: Unveiling the Socio-Psychological, Cognitive, and Brain Mechanisms

CORDIS · observation · Publication date unknown

health of 500,000 participants with longitudinal assessments. The Audicog dataset ensures high precision in hearing and cognitive evaluations on 300 participants with or without tinnitus. We will use machine learning technics on the UK Biobank data to identify i) the socio-demographic, psychological, cognitive and health related factors predicting tinnitus apparition and evolution over time. The validity of those risk factors will be tested during a clinical study performed in a tinnitus clinic. We will also determine ii) the cerebral patterns associated with tinnitus using machine learning algorithm. We will explore the links between the cerebral patterns and the sociopsychological, auditory, emotional and cognitive factors with the Audicog dataset to establish an integrative model of tinnitus." Diagnostic and therapy of tinnitus, Tinnitus distress, Big data

Read original source ↗ Open in workspace

recordType

award

status

SIGNED

region

EU

value

268025.28

unit

EUR