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ATR Brain Information Communication Research Laboratory Group


Rewiring rumination: A targeted brain-based approach to depression

A new study uses real-time fMRI neurofeedback to train people to regulate rumination, a common symptom of depression, by restoring healthy neural coupling between the posterior cingulate cortex and dorsolateral prefrontal cortex. The approach shows promise in reducing depressive symptoms while leaving anxiety intact.

SourceATR Brain Information Communication Research Laboratory Group·JournalTranslational Psychiatry·TypeExperimental study·DateMay 13, 2026

A multi-site, multi-disorder, resting-state magnetic resonance image database

A multi-site, multi-disorder resting-state magnetic resonance image database was compiled to harmonize data from patients with various diseases, measured at 14 sites. The dataset comprises over 2,400 samples and includes 'traveling-subject' data to minimize inter-site differences.

SourceATR Brain Information Communication Research Laboratory Group·JournalScientific Data·TypeData/statistical analysis·DateAug 30, 2021

Nonconscious brain modulation to remove fears, increase confidence

A new dataset from ATR Brain Information Communication Research Laboratory Group provides insights into Decoded Neurofeedback, a technique that uses AI and brain scanning to modify fear memories and boost confidence. The dataset includes five studies and could lead to new treatments for PTSD, phobias, and anxiety disorders.

Toward clinical application of a generalizable brain marker of major depressive disorder

A novel harmonization method was used to develop a generalizable brain network marker for major depressive disorder (MDD), based on resting-state fMRI data. The marker achieved approximately 70% generalization accuracy for an independent validation dataset, demonstrating its potential for clinical applications.

Harmonization of resting-state functional MRI data across multiple imaging sites

Researchers developed an effective harmonization method to reduce site-related differences in resting-state fMRI data, reducing bias by 29% and improving signal-to-noise ratios by 40%. This allows for the development of practical brain-circuit-based biomarkers of psychiatric disorders regardless of imaging site.

Towards an unconscious neural reinforcement intervention for common fears

Researchers have created an innovative method to alleviate common fears by reading out unconscious brain activity and associating feared objects with positive feelings. By using a mental exercise game and leveraging artificial intelligence algorithms, participants can become desensitized to phobic stimuli without encountering the feare...

SourceATR Brain Information Communication Research Laboratory Group·JournalProceedings of the National Academy of Sciences·DateMar 6, 2018