Erroneous Resting-State fMRI Connectivity Maps Due to Prolonged Arterial Arrival Time and How to Fix Them
| Autor: | Michael E. Moseley, Greg Zaharchuk, Hesamoddin Jahanian, Thomas Christen |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Adult
Male medicine.medical_specialty Time Factors Computer science Rest Models Neurological Arrival time 050105 experimental psychology 03 medical and health sciences 0302 clinical medicine Internal medicine Image Processing Computer-Assisted medicine Humans 0501 psychology and cognitive sciences In patient Moyamoya disease Default mode network Brain Mapping Principal Component Analysis Resting state fMRI General Neuroscience Functional connectivity 05 social sciences Original Articles Middle Aged Temporal correlation medicine.disease Magnetic Resonance Imaging Independent component analysis Oxygen Cardiology Female Moyamoya Disease 030217 neurology & neurosurgery |
| Zdroj: | Brain Connectivity. 8:362-370 |
| ISSN: | 2158-0022 2158-0014 |
| DOI: | 10.1089/brain.2018.0610 |
| Popis: | In resting-state functional MRI (rs-fMRI), functional networks are assessed utilizing the temporal correlation between spontaneous blood oxygen level-dependent signal fluctuations of spatially remote brain regions. Recently, several groups have shown that temporal shifts are present in rs-fMRI maps in patients with cerebrovascular disease due to spatial differences in arterial arrival times, and that this can be exploited to map arrival times in the brain. This suggests that rs-fMRI connectivity mapping may be similarly sensitive to such temporal shifts, and that standard rs-fMRI analysis methods may fail to identify functional connectivity networks. To investigate this, we studied the default mode network (DMN) in Moyamoya disease patients and compared it with normal healthy volunteers. Our results show that using standard independent component analysis (ICA) and seed-based approaches, arterial arrival delays lead to inaccurate incomplete characterization of functional connectivity within the DMN in Moyamoya disease patients. Furthermore, we propose two techniques to correct these errors, for seed-based and ICA methods, respectively. Using these methods, we demonstrate that it is possible to mitigate the deleterious effects of arterial arrival time on the assessment of functional connectivity of the DMN. As these corrections have not been applied to the vast majority of >200 prior rs-fMRI studies in patients with cerebrovascular disease, we suggest that they be interpreted with great caution. Correction methods should be applied in any rs-fMRI connectivity study of subjects expected to have abnormally delayed arterial arrival times. |
| Databáze: | OpenAIRE |
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