Objective: Cognitive bias modification (CBM) eliminates cognitive biases toward negative information and is efficacious in reducing depression recurrence, but the mechanisms behind the bias elimination are not fully understood. The present study investigated, through computer simulation of neural network models, the neural dynamics underlying the use of CBM in eliminating the negative biases in the way that depressed patients evaluate facial expressions. Method: We investigated 2 new CBM methodologies using biologically plausible synaptic learning mechanisms-continuous transformation learning and trace learning-which guide learning by exploiting either the spatial or temporal continuity between visual stimuli presented during training. We first describe simulations with a simplified 1-layer neural network, and then we describe simulations in a biologically detailed multilayer neural network model of the ventral visual pathway. Results: After training with either the continuous transformation learning rule or the trace learning rule, the 1-layer neural network eliminated biases in interpreting neutral stimuli as sad. The multilayer neural network trained with realistic face stimuli was also shown to be able to use continuous transformation learning or trace learning to reduce biases in the interpretation of neutral stimuli. Conclusions: The simulation results suggest 2 biologically plausible synaptic learning mechanisms, continuous transformation learning and trace learning, that may subserve CBM. The results are highly informative for the development of experimental protocols to produce optimal CBM training methodologies with human participants.
机构:
Tohoku Univ, Dept Funct Brain Imaging, Grad Sch Med, Sendai, Miyagi 9808575, Japan
Tohoku Univ, Div Interdisciplinary Adv Res & Educ, Sendai, Miyagi 9808578, Japan
Japan Soc Promot Sci, Tokyo 1020083, JapanTohoku Univ, Dept Funct Brain Imaging, Grad Sch Med, Sendai, Miyagi 9808575, Japan
Sakaki, Kohei
论文数: 引用数:
h-index:
机构:
Nozawa, Takayuki
Ikeda, Shigeyuki
论文数: 0引用数: 0
h-index: 0
机构:
Tohoku Univ, Inst Dev Aging & Canc, Dept Ubiquitous Sensing, Sendai, Miyagi 9808575, JapanTohoku Univ, Dept Funct Brain Imaging, Grad Sch Med, Sendai, Miyagi 9808575, Japan
Ikeda, Shigeyuki
Kawashima, Ryuta
论文数: 0引用数: 0
h-index: 0
机构:
Tohoku Univ, Inst Dev Aging & Canc, Dept Ubiquitous Sensing, Sendai, Miyagi 9808575, Japan
Tohoku Univ, Inst Dev Aging & Canc, Dept Funct Brain Imaging, Sendai, Miyagi 9808575, JapanTohoku Univ, Dept Funct Brain Imaging, Grad Sch Med, Sendai, Miyagi 9808575, Japan
机构:
Chinese Acad Sci, Inst Psychol, CAS Key Lab Mental Hlth, Beijing, Peoples R China
Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R ChinaChinese Acad Sci, Inst Psychol, CAS Key Lab Mental Hlth, Beijing, Peoples R China
Kong, Qingyan
Han, Buxin
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Inst Psychol, CAS Key Lab Mental Hlth, Beijing, Peoples R China
Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China
Chinese Acad Sci, Inst Psychol, 16 Lincui Rd, Beijing 100101, Peoples R ChinaChinese Acad Sci, Inst Psychol, CAS Key Lab Mental Hlth, Beijing, Peoples R China