Unraveling the gut-brain connection: The association of microbiota-linked structural brain biomarkers with behavior and mental health.

Aim: The gut microbiota can influence human behavior. However, due to the massive multiple-testing problem, research into the relationship between microbiome ecosystems and the human brain faces drawbacks. This problem arises when attempting to correlate thousands of gut bacteria with thousands of brain voxels.

The nature of memory impairment in multiple sclerosis: understanding different patterns over the course of the disease.

Introduction: Memory deficit is one of the most common and severe cognitive impairments in patients with multiple sclerosis and can greatly affect their quality of life. However, there is currently no agreement as to the nature of memory deficit in multiple sclerosis.

Methods: This cross-sectional study, carried out at the Dr.

Differences in metacognition between multiple sclerosis phenotypes: cognitive impairment and fatigue are key factors.

Background: Cognitive impairment is present in 40-65% of patients with multiple sclerosis (pwMS). Objectively measured cognitive performance often does not match patients' subjective perception of their own performance.

Objective: We aimed to compare cognitive performance and subjective perception of cognitive deficits between pwMS and healthy controls (HCs), as well as the accuracy of subjective perception.

Oligoclonal IgM bands are a promising biomarker for long-term cognitive outcomes in multiple sclerosis.

Background: The presence of lipid-specific oligoclonal IgM bands (LS-OCMB) in cerebrospinal fluid is associated with a more severe clinical multiple sclerosis (MS) course.

Objective: To investigate LS-OCMB as a prognostic biomarker of cognitive long-term outcomes in MS.

Methods: Ninety-nine patients underwent neuropsychological assessment.

Microbiota alterations in proline metabolism impact depression.

The microbiota-gut-brain axis has emerged as a novel target in depression, a disorder with low treatment efficacy. However, the field is dominated by underpowered studies focusing on major depression not addressing microbiome functionality, compositional nature, or confounding factors. We applied a multi-omics approach combining pre-clinical models with three human cohorts including patients with mild depression.