Neuroimaging profiles of the negative affective network predict anxiety severity in patients with chronic insomnia disorder: A machine learning study

BACKGROUND

Sleep is instrumental in safeguarding emotional well-being. While the susceptibility to both insomnia and anxiety has been demonstrated to involve intricate brain systems, the neuroimaging profile of chronic insomnia disorder with comorbid anxiety symptoms (CID-A) remains unexplored. Employing machine learning methodologies, this study aims to elucidate the distinct neural substrates underlying CID-A and to investigate whether these cerebral markers can prognosticate anxiety symptoms in patients with insomnia.

METHODS

Functional magnetic resonance imaging (fMRI) data were procured from a relatively large cohort (dataset 1) comprised of 47 CID-A patients, 49 CID patients without anxiety (CID-NA), and 48 good sleeper controls (GSC). Aberrant cerebral functional alterations were assessed through functional connectivity strength (FCS) and resting-state functional connectivity (rsFC). Subsequently, Support Vector Regression (SVR) models were constructed to predict anxiety symptoms in CID patients based on neuroimaging features, which were validated utilizing an external cohort (dataset 2).

RESULTS

In comparison to CID-NA and GSC subjects, CID-A patients exhibited heightened FCS in the right dorsomedial prefrontal cortex (DMPFC), a central hub within the negative affective network. Moreover, the SVR models revealed that DMPFC-related rsFC/FCS features could be employed to predict anxiety symptoms in two independent cohorts of CID patients.

LIMITATION

Modifications in brain functionality might vary across insomnia subtypes.

CONCLUSION

The present findings suggest a potential negative affective network model for the neuropathophysiology of CID accompanied by anxiety. Importantly, the negative affective network pattern may serve as a predictor for anxiety symptoms in CID patients.

Clinicomycological overview of brain abscess in a tertiary care center: A 38 year retrospection: Fungal brain abscess

INTRODUCTION

Brain abscesses (BA) form approximately 8% of intracranial masses in developing and 1-2% in western countries. Fungal BA (FBA) are aggressive and represent a catastrophic manifestation compared to protozoan and bacterial BA. Diagnosis of FBA is rare and usually done postmortem.

OBJECTIVES

The present retrospective study analyses the clinico-mycological aspects of FBA presented to our neurosurgical services over a period of 38 years, from January 1979 to April 2017.

MATERIALS AND METHODS

Patients diagnosed as definitive cases of FBA were included in the study. Clinico- demographic and microbiological data were collected from medical records. BA pus was examined for fungal etiology using standard microbiological procedures.

RESULTS

During the period of 38 years out of total 2,916 brain abscesses, 29 cases of FBA were diagnosed with an overall incidence rate of 0.99% per year. Cladophialophora bantiana (44%) was the most predominant isolate followed by Aspergillus spp and others. Male preponderance was seen with a male:female ratio of 4.8:1. There was no predilection for any age group. Headache, limb weakness and fever were the most common presentations. Amphotericin B was given in 44.8% of cases. Craniotomy with excision (48.2%) was the predominant surgical management. Outcome was fatal in 62% of the cases.

CONCLUSION

Neurotropic C. bantiana is the predominant isolate causing fungal brain abscess. The incidence and trends of fungi causing brain abscess do not show significant change. Young immunocompetent outdoor working males were predominantly susceptible to fungal infection. Advance in the diagnostic modalities show promising in diagnosis of FBA. High index of suspicion with early diagnosis, prompt antifungal therapy and aggressive surgical management is required as FBA are associated with high mortality rate.

Homocysteine is Associated with the Development of Cerebral Small Vessel Disease: Retrospective Analyses from Neuroimaging and Cognitive Outcomes

OBJECTIVE

As the population ages, a growing burden of cerebral small vessel disease (cSVD) has sparked extensive concerns recently. Homocysteine (Hcy), as a traditional risk factor for atherosclerosis, may also participate in the development of cSVD. By comprehensively assessing Hcy's correlation with different MRI markers of cSVD and cognitive outcomes in a homogeneous population with cSVD, this study aims to explore the value of Hcy in the clinical management of cSVD.

METHODS

231 inpatients with MRI-confirmed cSVD were enrolled in this retrospective study (mean age 66.4±10.0 years, male sex 47.6%). Along with brain MRI and plasma total Hcy (tHcy) examination, Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) were also performed to assess their global cognitive function. Burdens of cSVD neuroimaging features encompassing white matter hyperintensity (WMH), lacunes of presumed vascular origin, cerebral microbleeds (CMBs), and enlarged perivascular spaces (EPVS) were evaluated based on brain MRI demonstrations.

RESULTS

After adjusting for possible confounders, statistical analyses showed that plasma tHcy levels were not only correlated with burdens of deep/periventricular WMH (P < 0.001, P for trend < 0.001; P < 0.001, P for trend < 0.001), lacunes (P < 0.001, P for trend < 0.001), lobar CMBs (P = 0.002), and EPVS in the basal ganglia (P < 0.001, P for trend = 0.002) but also remained an independent predictor of cognitive impairment (B=-0.159, 95%CI -0.269--0.049, P = 0.005, P for trend < 0.001) in the patients with cSVD.

CONCLUSIONS

Plasma tHcy levels are associated with the development of cSVD in a dose-independent manner and may predict the cognitive outcomes in cSVD patients. These findings provide a potential clue to cSVD's physiopathology and future disease management.