Related Experiment Video
Updated: Jul 15, 2026
Exploring the Neural Correlates of Cognitive Reappraisal in Obsessive-Compulsive Disorder Using Task-based Functional Magnetic Resonance Imaging
Published on: March 14, 2025
Unraveling the neurochemical basis of structure-function coupling in bipolar disorder: A multimodal data fusion
Baohong Wen1, Yufei Shen1, Xiaopan Zhang1
1Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Engineering Technology Research Center for detection and application of brain function of Henan Province, China; Engineering Research Center of medical imaging intelligent diagnosis and treatment of Henan Province, China; Key Laboratory of magnetic resonance and brain function of Henan Province, China; Key Laboratory of brain function and cognitive magnetic resonance imaging of Zhengzhou, China; Key Laboratory of Imaging Intelligence Research medicine of Henan Province, China; Henan Engineering Research Center of Brain Function Development and Application, China.
Objectives:
To characterize coupled structural-functional alterations and their spatial associations with normative neurotransmitter receptor/transporter maps in bipolar disorder (BD) using multimodal magnetic resonance imaging (MRI) data fusion.
Methods:
Structural MRI (gray matter volume, GMV) and resting-state functional MRI (fractional amplitude of low-frequency fluctuations, fALFF) data were acquired from 51 BD patients and 51 demographically matched healthy controls (HCs). Parallel independent component analysis (P-ICA) was used to identify covarying GMV-fALFF components. Significant component maps were then compared with 12 normative positron emission tomography/single photon emission computed tomography (PET/SPECT) neurotransmitter receptor/transporter maps using the JuSpace toolbox.
Results:
P-ICA identified one significantly correlated GMV-fALFF component pair that showed lower loading coefficients in BD patients (p < 0.001). These alterations primarily involved key nodes of the frontoparietal, default-mode, and salience networks, as well as the cerebellar-thalamic-prefrontal circuit. Spatial correlation analysis showed that the fALFF component was positively associated with normative dopaminergic (DAT, FDOPA) and opioid (μ-receptor) maps and negatively associated with serotonergic (5-HT1b, 5-HT2a), dopaminergic (D2), GABAergic (GABAa), and glutamatergic (mGluR5) maps. The GMV component showed negative spatial associations with serotonergic (5-HT2a, SERT), dopaminergic (D1, DAT), opioid (μ-receptor) and glutamatergic (mGluR5) maps.
Conclusion:
These findings identify significantly covarying structure-function components in BD and suggest their links to large-scale brain network abnormalities. The integration of multimodal MRI with normative molecular atlases provides a scalable framework for linking macroscopic imaging phenotypes to molecular architecture, generating testable hypotheses for future validation with patient-specific PET/SPECT and multi-center studies.
More Related Videos
05:19Closed-Loop Neurostimulation for Biomarker-Driven, Personalized Treatment of Major Depressive Disorder
Published on: July 7, 2023
10:43Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
Published on: July 1, 2014
Related Concept Videos
01:30Bipolar Disorder
01:27Depressive Disorders: Etiology
Biological Factors in Depression
Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...