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It has been reported that spontaneous fluctuations of blood oxygen level dependent (BOLD) signals can be detected in human brain and constitute resting state networks. It has not been reported whether resting state networks also exist in human spinal cord. In the present study, we investigate spontaneous BOLD signal changes in human cervical spinal cord during resting state. fMRI data were analyzed with independent component analysis and SPM software package. Acceptable reproducibility of spatial maps of BOLD signal changes was found across sessions, with the highest correlation values ranging from 0.18 to 0.44. The dominant frequency of signal changes from independent components with the highest correlation values was approximately the frequency range of the respiratory circle. Activities of spinal motor neurons innervating the scalenes were considered as a major factor in the production of BOLD signal fluctuations were observed in this study. Our findings suggest that BOLD fMRI can be applied to study the features of low-frequency rhythmic activities and corresponding mechanisms in the spinal cord during resting state.
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http://dx.doi.org/10.1007/s00421-009-1205-4 | DOI Listing |
Rev Cardiovasc Med
August 2025
Cardiovascular Department, Xiyuan Hospital of China Academy of Chinese Medical Sciences, 100091 Beijing, China.
Background: While the invasive index of microcirculation resistance (IMR) remains the gold standard for diagnosing coronary microvascular dysfunction (CMD), its clinical adoption is limited by procedural complexity and cost. Angiography-based IMR (Angio-IMR), a computational angiography-based method, offers a promising alternative. This study evaluates the diagnostic efficacy of Angio-IMR for CMD detection in angina pectoris (AP).
View Article and Find Full Text PDFDiabetes Obes Metab
September 2025
Turku PET Centre, University of Turku, Turku, Finland.
Aims: Obesity is associated with increased insulin-stimulated brain glucose uptake (BGU) which is opposite to decreased GU observed in peripheral tissues. Increased BGU was shown to be reversed by weight loss and exercise training, but the mechanisms remain unknown. We investigated whether neuroinflammation (TSPO availability) and brain activity drive the obesity-associated increase in BGU and whether this increase is reversed by exercise training.
View Article and Find Full Text PDFComput Med Imaging Graph
August 2025
Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing 100096, China. Electronic address:
Bipolar disorder (BD) is a debilitating mental illness characterized by significant mood swings, posing a substantial challenge for accurate diagnosis due to its clinical complexity. This paper presents CS2former, a novel approach leveraging a dual channel-spatial feature extraction module within a Transformer model to diagnose BD from resting-state functional MRI (Rs-fMRI) and T1-weighted MRI (T1w-MRI) data. CS2former employs a Channel-2D Spatial Feature Aggregation Module to decouple channel and spatial information from Rs-fMRI, while a Channel-3D Spatial Attention Module with Synchronized Attention Module (SAM) concurrently computes attention for T1w-MRI feature maps.
View Article and Find Full Text PDFMol Psychiatry
September 2025
Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA.
Dysregulated dopaminergic signaling has been implicated in the pathophysiology of major depressive disorder (MDD) and childhood sexual abuse (CSA), but inconsistencies abound. In a multimodal PET-functional MRI study, harnessing the highly selective tracer [C]altropane, we investigated dopamine transporter availability (DAT) and resting-state functional connectivity (rsFC) within reward-related regions among 112 unmedicated individuals (MDD: n = 37, MDD/CSA: n = 18; CSA no MDD: n = 14; controls: n = 43). Striatal DAT and seed-based rsFC were assessed in the dorsal and ventral striatum and the ventral tegmental area.
View Article and Find Full Text PDFGeroscience
September 2025
Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA.
Cognitive decline is common in multiple sclerosis (MS), although neural mechanisms are not fully understood. The objective was to investigate the impact of mild cognitive impairment (MCI) on the relationship between resting state functional connectivity (RSFC) and cognitive function in older adults with multiple sclerosis (OAMS) and age matched healthy controls. Participants underwent magnetic resonance imaging (MRI) scans and cognitive assessments.
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