Changes in brain glucose metabolism and connectivity in somatoform disorders: an 18F-FDG PET study

Huang, Qi; Ren, Shuhua; Jiang, Donglang; Guan, Yihui; Xie, Fang; Sun, Daliang; Hua, Fang

doi:10.1007/s00406-019-01083-0

Cited by 11 publications

(12 citation statements)

References 67 publications

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“…The Brodmann's area 20 participates in language processes, and it could be regarded as a kind of language processing marginal area [38]. A previous study found that somatoform disorder patients showed extensive hypometabolism in the bilateral temporal gyrus, and the middle temporal gyrus was associated with somatic symptoms [39]. Besteher et al investigated minor subclinical symptoms in a non-clinical healthy population and found the anxiety subscale correlated positively with grey matter in the middle temporal gyrus [40].…”

Section: Discussionmentioning

confidence: 99%

Altered Spontaneous Brain Activity in Somatic Symptom Disorder: A Resting-state fMRI Study

Cui¹,

Liang²,

Zhu³

et al. 2020

Preprint

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Background: Somatic symptom disorders (SSDs) are common medical disorders characterized by various biological, social, and psychological pathogenic factors. Little is known about the neural correlations of SSD. Methods: In this study, we evaluated the dysfunction in 45 patients with SSD and in 43 controls by combining the regional homogeneity (ReHo) amplitudes of low-frequency fluctuation (ALFF) methods based on resting-state functional magnetic resonance imaging. Results: Compared to the controls, the patients with SSD exhibited significantly greater ReHo in the right cingulate gyrus and smaller ReHo in the right precuneus, left inferior and temporal gyrus extending to the left middle temporal gyrus and left parahippocampal gyrus, and right pons. The SSD patients showed higher ALFF values in the cingulate gyrus extending to the left medial frontal gyrus, right insula extending to the right inferior frontal gyrus, and left medial frontal gyrus extending to the left anterior cingulate cortex. Conclusions: These dysfunction areas seem to have a particular importance for the occurrence of SSD, which may result in dysfunction in self-relevant processes, emotional processing, multimodal integration, arousal, interoception, and body perception.

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Section: Discussionmentioning

confidence: 99%

Altered Spontaneous Brain Activity in Somatic Symptom Disorder: A Resting-state fMRI Study

Cui¹,

Liang²,

Zhu³

et al. 2020

Preprint

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“…Fludeoxyglucose (FDG) and 18 F-florbetapir PET/CT imaging were conducted on PET/CT scanners (Biograph Truepoint HD 64 PET/CT or Biograph mCT Flow; Siemens, Erlangen, Germany) with previously described parameters. 19,20 A 10-min FDG-PET scan was performed after 50 min of resting quietly in a dim room following injection of ∼5.55 MBq/kg FDG. In addition, a 20-min (florbetapir) scan was performed 50 min postinjection with ∼7.4 MBq/kg florbetapir.…”

Section: Pet and Mrimentioning

confidence: 99%

“…The PET images were reconstructed as previously described. 19,20 High-resolution 3D MRI was performed on a 3T MRI scanner (Prisma 3.0 T; Simens, Erlangen, Germany). T1-weighted MR images were acquired with a 3dimensional magnetization-prepared rapid gradient-echo sequence with the following parameters: repetition time = 3000 ms, echo time = 2.56 ms, flip angle = 7, acquisition matrix = 320 × 320, in-plane resolution = 0.8 mm × 0.8 mm, slice thickness = 0.8 mm, and 208 sagittal slices.…”

Section: Pet and Mrimentioning

confidence: 99%

The necessary of ternary amyloid classification for clinical practice: An alternative to the binary amyloid definition

Ren

Pan

et al. 2023

VIEW

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Visual interpretation is considered the gold standard for amyloid scans in clinical practice. However, dichotomous classification of amyloid deposition by visual reading always results in bias due to rater experience. Therefore, there is a need for a more lenient and flexible amyloid‐equivocal classification in clinical practice. A total of 461 participants were included in this study. Amyloid and glucose positron‐emission tomography was performed, and neuropsychological tests were evaluated. A disease‐specific deep‐learning method was used to identify amyloid equivocality. Amyloid deposition, glucose metabolism, and cognitive performance were analyzed and compared among amyloid‐positive, amyloid‐negative, and amyloid‐equivocal groups. Clinically diagnosed Alzheimer's disease individuals and subjects with normal cognition were used to create amyloid biomarker cut points to support the definition of equivocal amyloid deposition. A total of 139 amyloid‐equivocal individuals were identified by deep learning methods. They displayed intermediate amyloid deposition between that of amyloid‐positive (standardized uptake value ratio [SUVr]: 1.25 ± 0.10 vs. 1.47 ± 0.20, p < 0.001) and amyloid‐negative (SUVr: 1.25 ± 0.10 vs. 1.18 ± 0.07, p < 0.001) individuals. No difference in glucose metabolism or cognitive performance was observed between amyloid negativity and equivocality. Furthermore, the SUVr for the whole cortex, the precuneus, and the frontal lobe served as auxiliary criteria supporting the diagnosis of equivocal amyloid deposition. We also established a guide to assist in the interpretation of amyloid equivocality by visual reading with auxiliary criteria including two cut points and deep learning methods.

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“…The concept is to inject a controlled volume of the radioactive tracer into the patient. Brain-PET frequently uses the tracer fluorine-18fluorodeoxyglucose (18F-FDG) [4,5]. After a certain period, a significant amount of this tracer is accumulated across the tumor cells.…”

Section: Introductionmentioning

confidence: 99%

“…The radioactive tracer used in this analysis is 18F-FDG. Most of this tracer is distributed through contaminated brain cells after a certain time [5]. It originates β+, which is annihilated with electrons of medium.…”

Section: Introductionmentioning

confidence: 99%

Computationally Efficient Hybrid Interpolation and Baseline Restoration of the Brain-PET Pulses

Qaisar¹

2020

Integrated Circuits/Microchips

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The design and component level architectures of a novel offset compensated digital baseline restorer (BLR) and an original hybrid interpolator are described. It allows diminishing the effect of modifications occurring during the readout of Positron Emission Tomography (PET) pulses. Without treatment, such artifacts can result in a reduction in the scanner's performance, such as its sensitivity and resolution. The BLR recompenses the offset of PET pulses. Afterward, the pertinent parts of these pulses are located. Onward, the located portion of the signal is resampled by using a hybrid interpolator. This is constructed by cascading an optimized weighted least-square interpolator (WLSI) and a Simplified Linear Interpolator (SLI). The regulation processes for the WLSI coefficients and evaluation of the BLR and the interpolator modules are presented. The proposed hybrid interpolator's computational complexity is compared with classic counterparts. These modules are implemented in Very High-Speed Integrated Circuits Hardware Description Language (VHDL) and synthesized on a Field Programmable Gate Array (FPGA). The functionality of the system is validated with an experimental setup. Results reveal notable computational gain along with adequate dynamic restitution of the bipolar offsets besides a useful and accurate improvement of the temporal resolution relative to the computationally complex conventional equivalents.

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Changes in brain glucose metabolism and connectivity in somatoform disorders: an 18F-FDG PET study

Cited by 11 publications

References 67 publications

Altered Spontaneous Brain Activity in Somatic Symptom Disorder: A Resting-state fMRI Study

Altered Spontaneous Brain Activity in Somatic Symptom Disorder: A Resting-state fMRI Study

The necessary of ternary amyloid classification for clinical practice: An alternative to the binary amyloid definition

Computationally Efficient Hybrid Interpolation and Baseline Restoration of the Brain-PET Pulses

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