Resting-State Functional MRI: Everything That Nonexperts Have Always Wanted to Know

Lv, Han; Wang, Zhenchang; Tong, Elizabeth; Williams, Leanne M.; Zaharchuk, Greg; Zeineh, Michael; Goldstein-Piekarski, Andrea N.; Ball, Tali M.; Liao, Chengde; Wintermark, Max

doi:10.3174/ajnr.a5527

Cited by 254 publications

(260 citation statements)

References 100 publications

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“…So, by comparing the fMRI data of schizophrenia patients and healthy control we can diagnose the disease, by detecting the regions which are active during a particular task in schizophrenia patients as well as in healthy controls [12] . are active during a particular task or reacting to a detectable change in the neural activity at a low frequency (0.01-0.01Hz) [13] .…”

Section: Fmri (Functional Magnetic Resonance Imaging)mentioning

confidence: 99%

A Concise Study of Schizophrenia and Resting-state fMRI data analysis

Chatterjee¹,

Mittal²

2019

Preprint

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Schizophrenia is a severe mental illness in which people experience hallucinations and delusions. Reasons for happening schizophrenia are genetics, occur in a family, and it is heritable in nature. It can happen due to inappropriate development of the brain, due to complications at the time of birth, due to intake of drugs and an increase in the stress level in the environment. T o diagnose critical psychological disorders like schizophrenia, functional magnetic resonance imaging (fMRI) is widely used. T his technique measures the indirect neural activity of the brain tracing the oxygenation level of the blood flow. Resting-state fMRI measures the same in the rest condition of the patient while doing no cognitive task. In this review article, firstly, we describe schizophrenia and a brief description of its occurrence, cause, symptoms, and treatment. Secondly, we describe the fMRI technology followed by the resting-state analysis and finally, we describe briefly the methods of data analysis to diagnose schizophrenia with resting-state fMRI. T his review article may act like a start-up for the research in this domain.

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Section: Fmri (Functional Magnetic Resonance Imaging)mentioning

confidence: 99%

A Concise Study of Schizophrenia and Resting-state fMRI data analysis

Chatterjee¹,

Mittal²

2019

Preprint

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“…A number of studies have demonstrated that rs-fMRI data predict following behavioral performance in explicit tasks (He et al, 2013; Li et al, 2013; Zou et al, 2013). The spontaneous fluctuations reflect localized neural activity, whereas functional connectivity provides information on correlated activity between two brain regions (Lv et al, 2018). The term “functional” is used because we infer a connection between two regions with temporally correlated activity, rather than evidence of an actual physical (structural) connection.…”

Section: Introductionmentioning

confidence: 99%

Resting‐state brain fluctuation and functional connectivity dissociate moral injury from posttraumatic stress disorder

et al. 2019

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Moral injury is closely associated with posttraumatic stress disorder (PTSD) and characterized by disturbances in social and moral cognition. Little is known about the neural underpinnings of moral injury, and whether the neural correlates are different between moral injury and PTSD. A sample of 26 U.S. military veterans (two females: 28–55 years old) were investigated to determine how subjective appraisals of morally injurious events measured by Moral Injury Event Scale (MIES) and PTSD symptoms are differentially related to spontaneous fluctuations indexed by amplitude of low frequency fluctuation (ALFF) as well as functional connectivity during resting-state functional magnetic resonance imaging scanning. ALFF in the left inferior parietal lobule (L-IPL) was positively associated with MIES subscores of transgressions, negatively associated with subscores of betrayals, and not related with PTSD symptoms. Moreover, functional connectivity between the L-IPL and bilateral precuneus was positively related with PTSD symptoms and negatively related with MIES total scores. Our results provide the first evidence that morally injurious events and PTSD symptoms have dissociable neural underpinnings, and behaviorally distinct subcomponents of morally injurious events are different in neural responses. The findings increase our knowledge of the neural distinctions between moral injury and PTSD and may contribute to developing nosology and interventions for military veterans afflicted by moral injury.

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“…This procedure maps neural activation with a fine resolution and has been a useful tool for evaluating human exposure to EMF since the 2010s [Robertson et al, ]. The change in the blood‐oxygen‐level‐dependent (BOLD) signal is the cornerstone of fMRI, which traditionally is used to construct maps indicating subspecialized brain regions that are activated by certain tasks or react to a low‐frequency (0.01‐ 0.1 Hz) stimulus [Lv et al, ].…”

Section: Introductionmentioning

confidence: 99%

Modulation of resting‐state brain functional connectivity by exposure to acute fourth‐generation long‐term evolution electromagnetic field: An fMRI study

Wei

Yang

Chen

et al. 2018

Bioelectromagnetics

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By now, the neurophysiological effect of electromagnetic field (EMF) exposure and its underlying regulating mechanisms are not well manifested. In this study, we aimed to investigate whether acute long-term evolution (LTE) EMF exposure could modulate brain functional connectivity using regional homogeneity (ReHo) method and seed-based analysis on resting-state functional magnetic resonance imaging (fMRI). We performed the LTE-EMF exposure experiment and acquired the resting-state brain activities before and after EMF exposure. Then we applied ReHo index to characterize the localized functional connectivity and seed-based method to evaluate the interregional functional connectivity. Statistical comparisons were conducted to identify the possible evidence of brain functional connectivity modulation induced by the acute LTE-EMF exposure. We found that the acute LTE-EMF exposure modulated localized intra-regional connectivity (p < 0.05, AlphaSim corrected, voxel size ! 18) and inter-regional connectivity in some brain regions (p < 0.05, AlphaSim corrected, voxel size ! 18). Our results may indicate that the approaches relying on network-level inferences could provide deeper insight into the acute effect on human functional activity induced by LTE-EMF exposure. Bioelectromagnetics. 40:42-51, 2019.

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Resting-State Functional MRI: Everything That Nonexperts Have Always Wanted to Know

Cited by 254 publications

References 100 publications

A Concise Study of Schizophrenia and Resting-state fMRI data analysis

A Concise Study of Schizophrenia and Resting-state fMRI data analysis

Resting‐state brain fluctuation and functional connectivity dissociate moral injury from posttraumatic stress disorder

Modulation of resting‐state brain functional connectivity by exposure to acute fourth‐generation long‐term evolution electromagnetic field: An fMRI study

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