Pineal gland volume in primary insomnia and healthy controls: a magnetic resonance imaging study

Bumb, Jan Malte; Schilling, Cláudia; Enning, Frank; Haddad, Leila; Paul, Franc; Lederbogen, Florian; Deuschle, Michael; Schredl, Michael; Nölte, I.

doi:10.1111/jsr.12125

Cited by 42 publications

(42 citation statements)

References 26 publications

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“…Patients with CID also had differences visible on PSG, including less TST (average 5.8 h), longer SOL (average 2.6 h), more WTs (6.2), and shorter NREM SWS (S3 + S4) and REM time. These results are consistent with two previous reports in the literature (Table 1; Bumb et al, 2014; Regen et al, 2016). …”

Section: Resultssupporting

confidence: 94%

Aberrant Functional Connectivity Architecture in Participants with Chronic Insomnia Disorder Accompanying Cognitive Dysfunction: A Whole-Brain, Data-Driven Analysis

et al. 2017

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Objectives: Although it is widely observed that chronic insomnia disorder (CID) is associated with cognitive impairment, the neurobiological mechanisms underlying this remain unclear. Prior neuroimaging studies have confirmed that a close correlation exists between functional connectivity and cognitive impairment. Based on this observation, in this study we used resting-state functional magnetic resonance imaging (rs-fMRI) to study the relationship between whole brain functional connectivity and cognitive function in CID.Methods: We included 39 patients with CID and 28 age-, gender-, and education-matched healthy controls (HC). Abnormalities in functional connectivity were identified by comparing the correlation coefficients for each pair of 116 brain regions between CID and HC.Results: Cognitive impairment was associated with reduced subjective insomnia scores after controlling for age, gender, and educational effects. Compared with HC, patients with CID had larger negative correlations within the task-negative network [medial prefrontal cortex (mPFC), precuneus, inferior temporal gyrus, cerebellum, and superior parietal gyrus], and between two intrinsic anti-correlation networks (mPFC and middle temporal gyrus; supplementary motor area and cerebellum). Patients with CID also had decreased positive correlations within the default mode network (DMN), and between the cerebellum and DMN, which mainly comprises the mPFC and posterior cingulated cortex. There were positive correlations of decreased positive connectivity with subjective sleep scores and MMSE scores, and increased negative correlations between the task-negative-network and MMSE scores in CID.Conclusions: Using rs-fMRI, our results support previous observations of cortical disconnection in CID in the prefrontal and DMN networks. Moreover, abnormal correlations within the task-negative network, and between two intrinsically anti-correlation networks, might be important neurobiological indicators of CID and associated cognitive impairment.

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Section: Resultssupporting

confidence: 94%

Aberrant Functional Connectivity Architecture in Participants with Chronic Insomnia Disorder Accompanying Cognitive Dysfunction: A Whole-Brain, Data-Driven Analysis

et al. 2017

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“…One study that included 23 patients with primary insomnia and 27 healthy good sleepers suggested a reduced volume of the pineal gland in insomnia [77]. However, similar to the other described morphometric findings in insomnia, there are a number of studies using VBM or FreeSurfer-based segmentation, which did not support this finding [24•, 68, 70, 71••].…”

Section: Pineal Glandmentioning

confidence: 77%

Neuroimaging Insights into Insomnia

Spiegelhalder

Regen

Baglioni

et al. 2015

Curr Neurol Neurosci Rep

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Insomnia is one of the most prevalent health complaints afflicting approximately 10% of the population in Western industrialized countries at a clinical level. Despite the proposition that both biological and psychological factors play a role in the experience of insomnia, the field continues to puzzle over so-called "discrepancies" between objective and subjective measurements of sleep and daytime functioning. The promise of neuroimaging is to uncover physiological processes that may readily explain patient reports. However, while there has been an explosion in the number of studies investigating the neural correlates of insomnia with neuroimaging technologies, there appears to be little consistency in findings across studies. We suggest a number of methodological reasons which may, at least partially, explain variability in findings across neuroimaging studies in insomnia.

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“…На T1-взвешенном изображении КШТ имеют гипоинтенсивный сигнал по отношению к белому веществу и изоинтенсивный либо гиперинтенсивный -по отношению к спинномозговой жидкости [2]. Приблизительно 55-60% КШТ выглядят гиперинтенсивно по отношению к ликвору желудочков [18], что в основном связано с отсутствием тока жидкости в них, признаками случившегося кровоизлияния либо с высоким содержанием белка внутри кисты [22]. Остатки паренхимы шишковидного тела -стенки кисты -обычно выглядят слегка гипоинтенсивно или даже изоинтенсивно по отношению к окружающему мозговому веществу [23].…”

Section: магнитно-резонансная томографияunclassified