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Associations between morphometric similarity network and brain gene expression in type 2 diabetes mellitus.

Neuroscience

January 2025

Department of Medical Imaging and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China. Electronic address:

Abnormal functional and structural connectivity of brain networks is commonly observed in patients with type 2 diabetes mellitus (T2DM) and accompanied bycognitive impairment. In this study, we revealed differences in brain structure in T2DM using a Morphometric Similarity Network (MSN) method, which quantifies structural similarities between brain regions. The associations between T2DM-associated changes in morphometric similarity (MS) and gene expression were analyzed to explore the molecular and cellular mechanism underlying MS changes in T2DM.

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The Canadian Association of Radiologists (CAR) Central Nervous System Expert Panel is made up of physicians from the disciplines of radiology, emergency medicine, neurosurgery, and neurology, a patient advisor, and an epidemiologist/guideline methodologist. After developing a list of 24 clinical/diagnostic scenarios, a rapid scoping review was undertaken to identify systematically produced referral guidelines that provide recommendations for one or more of these clinical/diagnostic scenarios. Recommendations from 55 guidelines and contextualization criteria in the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) for guidelines framework were used to develop 51 recommendation statements across the 24 scenarios.

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Background: Insulin resistance is tightly related to cognition; however, the causal association between them remains a matter of debate. Our investigation aims to establish the causal relationship and direction between insulin resistance and cognition, while also quantifying the mediating role of brain cortical structure in this association.

Methods: The publicly available data sources for insulin resistance (fasting insulin, homeostasis model assessment beta-cell function and homeostasis model assessment insulin resistance, proinsulin), brain cortical structure, and cognitive phenotypes (visual memory, reaction time) were obtained from the MAGIC, ENIGMA, and UK Biobank datasets, respectively.

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Characterization of cognitive functioning in complex PTSD compared to non-complex PTSD.

Front Psychiatry

January 2025

Department of General Internal Medicine and Psychosomatics, University Hospital Heidelberg, University of Heidelberg, Heidelberg, Germany.

Background: Previous research has indicated cognitive impairments in patients with post-traumatic stress disorder (PTSD), specifically in attention, memory, and executive functioning. However, there is limited knowledge about the cognitive profile of individuals with complex PTSD (cPTSD), a new diagnosis in ICD-11. Moreover, predictors of cognitive impairment remain unclear.

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Background And Purpose: Asymptomatic carotid stenosis (ACS) is an independent risk factor for ischemic stroke and vascular cognitive impairment, affecting cognitive function across multiple domains. This study aimed to explore differences in static and dynamic intrinsic functional connectivity and temporal dynamics between patients with ACS and those without carotid stenosis.

Methods: We recruited 30 patients with unilateral moderate-to-severe (stenosis ≥ 50%) ACS and 30 demographically-matched healthy controls.

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