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Abstract #3156

Brain network evaluated by functional-guided reinforcement learning effective connectivity indicates theraputic effect in tinnitus patients

Han Lv1
1Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China

Synopsis

Keywords: Functional Connectivity, fMRI (resting state), Tinnitus, sound therapy, fMRI, brain network, effective connectivity

Motivation: We hypothesize that the investigation of brain FC may serve as a foundational step in exploring EC.

Goal(s): To enhance the precision of identifying effective connectivity between distinct brain regions.

Approach: We adopts the actor-critic framework with an encoder-decoder model as the actor network. The encoder utilizes the Transformer model, and the decoder employs a bidirectional long-short-term memory (LSTM) network with attention.

Results: Tinnitus patients were feature by enhanced information output of the motor network, somatosensory network, and the visual network. Effective treatment is featured by a similar pattern of FGEC network between tinnitus patients after treatment and the healthy controls.

Impact: The pattern of FGEC network can be regarded as a direct evidence to indicate the effectiveness of sound therapy for tinnitus patients prior to treatment.

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Keywords