scholarly journals Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias

PLoS Biology ◽  
2019 ◽  
Vol 17 (4) ◽  
pp. e3000042 ◽  
Author(s):  
Ayumu Yamashita ◽  
Noriaki Yahata ◽  
Takashi Itahashi ◽  
Giuseppe Lisi ◽  
Takashi Yamada ◽  
...  
Keyword(s):  
Functional Mri ◽  
Resting State ◽  
Sampling Bias ◽  
Measurement Bias ◽  
Multiple Imaging

scholarly journals Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias

2018 ◽  
Author(s):  
Ayumu Yamashita ◽  
Noriaki Yahata ◽  
Takashi Itahashi ◽  
Giuseppe Lisi ◽  
Takashi Yamada ◽  
...  
Keyword(s):  
Psychiatric Disorders ◽  
Functional Mri ◽  
Resting State ◽  
Sampling Bias ◽  
Measurement Bias ◽  
Limited Capacity ◽  
Signal To Noise ◽  
Multiple Imaging ◽  
Neuroimaging Data ◽  
Biological Sampling

AbstractWhen collecting large neuroimaging data associated with psychiatric disorders, images must be acquired from multiple sites because of the limited capacity of a single site. However, site differences represent the greatest barrier when acquiring multi-site neuroimaging data. We utilized a traveling-subject dataset in conjunction with a multi-site, multi-disorder dataset to demonstrate that site differences are composed of biological sampling bias and engineering measurement bias. Effects on resting-state functional MRI connectivity because of both bias types were greater than or equal to those because of psychiatric disorders. Furthermore, our findings indicated that each site can sample only from among a subpopulation of participants. This result suggests that it is essential to collect large neuroimaging data from as many sites as possible to appropriately estimate the distribution of the grand population. Finally, we developed a novel harmonization method that removed only the measurement bias by using traveling-subject dataset and achieved the reduction of the measurement bias by 29% and the improvement of the signal to noise ratios by 40%.

scholarly journals Botulinum toxin injection changes resting state cerebellar connectivity in cervical dystonia

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Pavel Hok ◽  
Lenka Hvizdošová ◽  
Pavel Otruba ◽  
Michaela Kaiserová ◽  
Markéta Trnečková ◽  
...  
Keyword(s):  
Functional Mri ◽  
Resting State ◽  
Cervical Dystonia ◽  
Botulinum Neurotoxin ◽  
Botulinum Toxin Injection ◽  
Clinical Severity ◽  
Before And After ◽  
Positive Correlations ◽  
Using Data ◽  
The Right

AbstractIn cervical dystonia, functional MRI (fMRI) evidence indicates changes in several resting state networks, which revert in part following the botulinum neurotoxin A (BoNT) therapy. Recently, the involvement of the cerebellum in dystonia has gained attention. The aim of our study was to compare connectivity between cerebellar subdivisions and the rest of the brain before and after BoNT treatment. Seventeen patients with cervical dystonia indicated for treatment with BoNT were enrolled (14 female, aged 50.2 ± 8.5 years, range 38–63 years). Clinical and fMRI examinations were carried out before and 4 weeks after BoNT injection. Clinical severity was evaluated using TWSTRS. Functional MRI data were acquired on a 1.5 T scanner during 8 min rest. Seed-based functional connectivity analysis was performed using data extracted from atlas-defined cerebellar areas in both datasets. Clinical scores demonstrated satisfactory BoNT effect. After treatment, connectivity decreased between the vermis lobule VIIIa and the left dorsal mesial frontal cortex. Positive correlations between the connectivity differences and the clinical improvement were detected for the right lobule VI, right crus II, vermis VIIIb and the right lobule IX. Our data provide evidence for modulation of cerebello-cortical connectivity resulting from successful treatment by botulinum neurotoxin.

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