Anterior hippocampus volume loss in narcolepsy with cataplexy

Křečková, Martina; Kemlink, David; Šonka, Karel; Krásenský, Jan; Bušková, Jitka; Vaněčková, Manuela; Němcová, Veronika

doi:10.1111/jsr.12785

Cited by 13 publications

(6 citation statements)

References 29 publications

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“…Significant reductions of the absolute volume of the hippocampus (Joo and others 2012; Kim and others 2016; Křečková and others 2018) and the amygdala (Brabec and others 2011; Kim and others 2016), possibly in relationship with abnormalities in emotional processing (Walker and van der Helm 2009), have been observed in patients with narcolepsy-cataplexy. Furthermore, a report using proton resonance spectroscopy in narcolepsy patients with cataplexy, revealed myoinositol decrease in the amygdala (Poryazova and others 2009).…”

Section: Clinical Features and Pathogenesis Of Narcolepsymentioning

confidence: 99%

Neuroimaging of Narcolepsy and Primary Hypersomnias

et al. 2020

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Advances in neuroimaging open up the possibility for new powerful tools to be developed that potentially can be applied to clinical populations to improve the diagnosis of neurological disorders, including sleep disorders. At present, the diagnosis of narcolepsy and primary hypersomnias is largely limited to subjective assessments and objective measurements of behavior and sleep physiology. In this review, we focus on recent neuroimaging findings that provide insight into the neural basis of narcolepsy and the primary hypersomnias Kleine-Levin syndrome and idiopathic hypersomnia. We describe the role of neuroimaging in confirming previous genetic, neurochemical, and neurophysiological findings and highlight studies that permit a greater understanding of the symptoms of these sleep disorders. We conclude by considering some of the remaining challenges to overcome, the existing knowledge gaps, and the potential role for neuroimaging in understanding the pathogenesis and clinical features of narcolepsy and primary hypersomnias.

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Section: Clinical Features and Pathogenesis Of Narcolepsymentioning

confidence: 99%

Neuroimaging of Narcolepsy and Primary Hypersomnias

et al. 2020

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“…[10][11][12] In the past decade, a series of neuroimaging studies have been conducted to study the neural mechanism of cognitive impairment related to NT1 disorders. They revealed significant abnormalities in several brain areas, including the amygdala, hippocampus, [13][14][15][16][17] thalamus, hypothalamus, cerebellar hemispheres, anterior medial temporal white matter (WM), and corpus callosum. [18][19][20] In addition, functional studies have also revealed impaired and abnormal functional connections in the executive attention network [21][22][23] of patients with NT1.…”

Section: Introductionmentioning

confidence: 99%

Changed Cerebral White Matter Structural Network Topological Characters and Its Correlation with Cognitive Behavioral Abnormalities in Narcolepsy Type 1

Ni¹,

Liu²,

Zhu³

et al. 2022

NSS

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In the current study we investigated topological abnormalities of the cerebral white matter networks in narcolepsy type 1 (NT1) patients and its relationship with their cognitive abnormalities using diffusion tensor imaging (DTI) technology. Methods: DTI and the Beijing version of the Montreal Cognitive Assessment (MoCA-BJ) were applied to 30 NT1 patients and 30 age-matched healthy controls. DTI studies were also carried using the 3T MRI system. Next, DTI data was used to establish a cerebral white matter network for all subjects and graph theory was applied to analyze the topological characteristics of the white matter structural network. Topographical parameters (such as local efficiency (Eloc), global efficiency (Eglob) and small-world (σ)) between NT1 patients and controls were then compared. The correlation between MoCA-BJ scores and topological parameters was also analyzed. Results: MoCA-BJ scores in NT1 patients were lower than those in the healthy controls. Compared with healthy controls, the global efficiency of the white matter network and attributes of the small world network were significantly reduced in NT1 patients. Finally, the global efficiency of the white matter structural network was related to the MoCA-BJ score of NT1 patients. Conclusion:The abnormal topological characteristics of the white matter structural network in NT1 patients may be associated with their cognitive impairment.

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“…MTsat may also be more directly related to the density of neurons and therefore indirectly related to myelin 49 . Other qMRI parameters depend to a lesser extent on myelin such as R2*, which is mainly driven by iron content 50 . It would be of interest to consider other qMRI quantification approaches along with MTsat as it would be to focus on other parts of the brain.…”

Section: Discussionmentioning

confidence: 99%

In vivo marker of brainstem myelin is associated to quantitative sleep parameters in healthy young men

Talwar,

Deantoni,

Van Egroo

et al. 2023

Sci Rep

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The regional integrity of brain subcortical structures has been implicated in sleep–wake regulation, however, their associations with sleep parameters remain largely unexplored. Here, we assessed association between quantitative Magnetic Resonance Imaging (qMRI)-derived marker of the myelin content of the brainstem and the variability in the sleep electrophysiology in a large sample of 18-to-31 years healthy young men (N = 321; ~ 22 years). Separate Generalized Additive Model for Location, Scale and Shape (GAMLSS) revealed that sleep onset latency and slow wave energy were significantly associated with MTsat estimates in the brainstem (pcorrected ≤ 0.03), with overall higher MTsat value associated with values reflecting better sleep quality. The association changed with age, however (MTsat-by-age interaction—pcorrected ≤ 0.03), with higher MTsat value linked to better values in the two sleep metrics in the younger individuals of our sample aged ~ 18 to 20 years. Similar associations were detected across different parts of the brainstem (pcorrected ≤ 0.03), suggesting that the overall maturation and integrity of the brainstem was associated with both sleep metrics. Our results suggest that myelination of the brainstem nuclei essential to regulation of sleep is associated with inter-individual differences in sleep characteristics during early adulthood. They may have implications for sleep disorders or neurological diseases related to myelin.

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Anterior hippocampus volume loss in narcolepsy with cataplexy

Cited by 13 publications

References 29 publications

Neuroimaging of Narcolepsy and Primary Hypersomnias

Neuroimaging of Narcolepsy and Primary Hypersomnias

Changed Cerebral White Matter Structural Network Topological Characters and Its Correlation with Cognitive Behavioral Abnormalities in Narcolepsy Type 1

In vivo marker of brainstem myelin is associated to quantitative sleep parameters in healthy young men

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