Evaluation of CSF flow dynamics in patients with schizophrenia using phase-contrast cine MRI

Kartalcı, Şükrü; Erbay, Mehmet Fatih; Kahraman, Ayşegül Sağır; Çandır, Fatih; Erbay, Lale Gönenir

doi:10.1016/j.psychres.2021.114172

Cited by 6 publications

(6 citation statements)

References 30 publications

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“…However, hyperperfusion in other regions is also observed, warranting further investigation into cerebral blood flow dynamics in iNPH (Kang et al., 2023 ). Furthermore, the central role of CSF dynamics in various neurocognitive disorders and psychiatric disorders progress, including iNPH and SCZ, has been established (Kartalcı et al., 2021 ). Abnormal CSF dynamics, as evidenced by ventricular enlargement in magnetic resonance imaging, coexist with psychiatric disorders like SCZ (Kartalcı et al., 2021 ).…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, the central role of CSF dynamics in various neurocognitive disorders and psychiatric disorders progress, including iNPH and SCZ, has been established (Kartalcı et al., 2021 ). Abnormal CSF dynamics, as evidenced by ventricular enlargement in magnetic resonance imaging, coexist with psychiatric disorders like SCZ (Kartalcı et al., 2021 ). Besides, a high occurrence of hydrocephalus has been reported in individuals with autism spectrum disorder despite the unclear role of abnormal CSF dynamics in this disease (Munch et al., 2021 ).…”

Section: Discussionmentioning

confidence: 99%

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The impact of neurocognitive and psychiatric disorders on the risk of idiopathic normal pressure hydrocephalus: A bidirectional Mendelian randomization study

He,

Wang,

Zuo

et al. 2024

Brain and Behavior

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BackgroundNeurocognitive and psychiatric disorders have been proved that they can comorbid more often with idiopathic normal pressure hydrocephalus (iNPH) than general population. However, the potential causal association between these disorders and iNPH has not been assessed. Thus, our study aims to investigate the causal relationship between them based on a bidirectional Mendelian randomization (MR) analysis.MethodsRandom effects of the inverse variance weighted (IVW) method were conducted to obtain the causal association among the neurocognitive disorders, psychiatric disorders, and iNPH. Genome‐wide association studies (GWAS) of 12 neurocognitive and psychiatric disorders were downloaded via the OpenGWAS database, GWAS Catalog, and Psychiatric Genomics Consortium, whereas GWAS data of iNPH were obtained from the FinnGen consortium round 9 release, with 767 cases and 375,610 controls of European ancestry. We also conducted the sensitivity analysis in these significant causal inferences using weighted median model, Cochrane's Q test, MR‐Egger regression, MR Pleiotropy Residual Sum and Outlier detect and the leave‐one‐out analysis.ResultsFor most of the neurocognitive and psychiatric disorders, no causal association was established between them and iNPH. We have found that iNPH (odds ratio [OR] = 1.030, 95% confidence interval [CI]: 1.011–1.048, p = .001) is associated with increased risk for schizophrenia, which failed in validation of sensitivity analysis. Notably, genetically predicted Parkinson's disease (PD) is associated with increased risk of iNPH (OR = 1.256, 95% CI: 1.045–1.511, p = .015).ConclusionOur study has revealed the potential causal effect in which PD associated with an increased risk of iNPH. Further study is warranted to investigate the association between PD and iNPH and the potential underlying mechanism.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

The impact of neurocognitive and psychiatric disorders on the risk of idiopathic normal pressure hydrocephalus: A bidirectional Mendelian randomization study

He,

Wang,

Zuo

et al. 2024

Brain and Behavior

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“…Over the last 20 years, a great emphasis has been placed on using PCC MRI to understand CSF circulation in neurodegenerative pathology. In one study, CSF flow dynamics in the cerebral aqueduct were compared between 50 schizophrenia patients and 50 normal controls using PCC MRI ( Kartalcı et al, 2021 ). Two-dimensional flow PCC MR images coupled with T1-weighted MRI in three planes were used to analyze CSF flow parameters in and around the cerebral aqueduct ( Kartalcı et al, 2021 ).…”

Section: Phase-contrast Cine Mri (Pcc Mri)mentioning

confidence: 99%

“…In one study, CSF flow dynamics in the cerebral aqueduct were compared between 50 schizophrenia patients and 50 normal controls using PCC MRI ( Kartalcı et al, 2021 ). Two-dimensional flow PCC MR images coupled with T1-weighted MRI in three planes were used to analyze CSF flow parameters in and around the cerebral aqueduct ( Kartalcı et al, 2021 ). Here, the authors concluded that CSF flow between the third and fourth ventricle has a lower peak velocity, lower net forward volume, and lower average flow in schizophrenia patients ( Kartalcı et al, 2021 ).…”

Section: Phase-contrast Cine Mri (Pcc Mri)mentioning

confidence: 99%

“…Two-dimensional flow PCC MR images coupled with T1-weighted MRI in three planes were used to analyze CSF flow parameters in and around the cerebral aqueduct ( Kartalcı et al, 2021 ). Here, the authors concluded that CSF flow between the third and fourth ventricle has a lower peak velocity, lower net forward volume, and lower average flow in schizophrenia patients ( Kartalcı et al, 2021 ). A similar endeavor to contextualize CSF flow disruption to mild cognitive impairment used PCC MRI in a cohort of 92 geriatric patients ( Attier-Zmudka et al, 2019 ).…”

Section: Phase-contrast Cine Mri (Pcc Mri)mentioning

confidence: 99%

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Quantifying cerebrospinal fluid dynamics: A review of human neuroimaging contributions to CSF physiology and neurodegenerative disease

Mehta

Suss

Dyke

et al. 2022

Neurobiology of Disease

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Clinical magnetic resonance imaging evaluation of glymphatic function

Boyd,

Kaur,

Ding

et al. 2024

NMR in Biomedicine

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The glymphatic system is a system of specialized perivascular spaces in the brain that facilitates removal of toxic waste solutes from the brain. Evaluation of glymphatic system function by means of magnetic resonance imaging (MRI) has thus far been largely focused on rodents because of the limitations of intrathecal delivery of gadolinium‐based contrast agents to humans. This review discusses MRI methods that can be employed clinically for glymphatic‐related measurements intended for early diagnosis, prevention, and the treatment of various neurological conditions. Although glymphatic system‐based MRI research is in its early stages, recent studies have identified promising noninvasive MRI markers associated with glymphatic system alterations in neurological diseases. However, further optimization in data acquisition, validation, and modeling are needed to investigate the glymphatic system within the clinical setting.

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Evaluation of CSF flow dynamics in patients with schizophrenia using phase-contrast cine MRI

Cited by 6 publications

References 30 publications

The impact of neurocognitive and psychiatric disorders on the risk of idiopathic normal pressure hydrocephalus: A bidirectional Mendelian randomization study

The impact of neurocognitive and psychiatric disorders on the risk of idiopathic normal pressure hydrocephalus: A bidirectional Mendelian randomization study

Quantifying cerebrospinal fluid dynamics: A review of human neuroimaging contributions to CSF physiology and neurodegenerative disease

Clinical magnetic resonance imaging evaluation of glymphatic function

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