Fronto-striato-thalamic circuit connectivity and neuromelanin in schizophrenia: an fMRI and neuromelanin-MRI study.
Sunah ChoiMinah KimTaekwan KimEun-Jung ChoiJungha LeeSun-Young MoonSang Soo ChoJongho LeeJun-Soo KwonPublished in: Schizophrenia (Heidelberg, Germany) (2023)
Changes in dopamine and fronto-striato-thalamic (FST) circuit functional connectivity are prominent in schizophrenia. Dopamine is thought to underlie connectivity changes, but experimental evidence for this hypothesis is lacking. Previous studies examined the association in some of the connections using positron emission tomography (PET) and functional MRI (fMRI); however, PET has disadvantages in scanning patients, such as invasiveness. Excessive dopamine induces neuromelanin (NM) accumulation, and NM-MRI is suggested as a noninvasive proxy measure of dopamine function. We aimed to investigate the association between NM and FST circuit connectivity at the network level in patients with schizophrenia. We analysed substantia nigra NM-MRI and resting-state fMRI data from 29 schizophrenia patients and 63 age- and sex-matched healthy controls (HCs). We identified the FST subnetwork with abnormal connectivity found in schizophrenia patients compared to that of HCs and investigated the relationship between constituting connectivity and NM-MRI signal. We found a higher NM signal (t = -2.12, p = 0.037) and a hypoconnected FST subnetwork (FWER-corrected p = 0.014) in schizophrenia patients than in HCs. In the hypoconnected subnetwork of schizophrenia patients, lower left supplementary motor area-left caudate connectivity was associated with a higher NM signal (β = -0.38, p = 0.042). We demonstrated the association between NM and FST circuit connectivity. Considering that the NM-MRI signal reflects dopamine function, our results suggest that dopamine underlies changes in FST circuit connectivity, which supports the dopamine hypothesis. In addition, this study reveals implications for the future use of NM-MRI in investigations of the dopamine system.
Keyphrases
- resting state
- functional connectivity
- newly diagnosed
- magnetic resonance imaging
- ejection fraction
- bipolar disorder
- photodynamic therapy
- computed tomography
- positron emission tomography
- contrast enhanced
- prognostic factors
- uric acid
- white matter
- metabolic syndrome
- physical activity
- mass spectrometry
- high resolution
- diffusion weighted imaging
- pet ct
- deep learning
- electronic health record
- current status
- single molecule
- data analysis