Cholinesterase Inhibitors Response Might Be Related to Right Hippocampal Functional Connectivity in Mild Alzheimer's Disease.

Background: The response to cholinesterase inhibitors (ChEIs) treatment is variable in patients with Alzheimer's disease (AD). Patients and physicians would benefit if these drugs could be targeted at those most likely to respond in a clinical setting. Therefore, this study aimed to evaluate the ability of cerebrospinal fluid (CSF) AD biomarkers, hippocampal volumes, and Default Mode Network functional connectivity to predict clinical response to ChEIs treatment in mild AD. Methods: We followed up on 39 mild AD patients using ChEIs at therapeutic doses. All subjects underwent clinical evaluation, neuropsychological assessment, magnetic resonance imaging examination, and CSF biomarkers quantification at the first assessment. The Mini-Mental Status Examination (MMSE) was used to measure the global cognitive status before and after the follow-up. "Responders" were considered as those who have remained stable or improved the MMSE score between evaluations and "Nonresponders" as those who have worsened the MMSE score. We performed univariate and multivariate logistic regressions to predict the clinical response from each biomarker. Results: About 35.89% of patients were classified as "Responders" to ChEIs treatment after the follow-up. The multivariate model with measures of Right Hippocampus (RHIPPO), adjusted for gender and interval between assessments, was significant (odds ratio: 1.09 [95% confidence interval, 1.00-1.19], p = 0.0392). This model achieved an accuracy of 77.60%. Conclusion: Our findings suggest that the functional connectivity of RHIPPO might be an early imaging biomarker to predict clinical response to ChEIs drugs in mild AD. Impact statement The functional connectivity of the right hippocampus showed a direct relationship with the clinical response to cholinesterase inhibitors (ChEIs) treatment in patients with mild Alzheimer's disease. Transposing our findings to clinical settings could allow physicians to prescribe ChEIs for patients for whom treatment would be most beneficial.

Functional Connectome Analysis in Mild Cognitive Impairment: Comparing Alzheimer's Disease Continuum and Suspected Non-Alzheimer Pathology.

Introduction: Research in brain resting-state functional connectivity (FC) analysis in mild cognitive impairment (MCI) has conflicting results. This work intends to find differences in resting-state FC of 2 groups of MCI subjects due to Alzheimer's disease (MCI-AD) continuum or to suspected non-Alzheimer pathology (MCI-SNAP). Materials and Methods: Ninety-two subjects older than 55 years were enrolled. MCI and controls were grouped using clinical dementia rating and neuropsychological data. Cerebrospinal fluid biomarkers were collected from MCI subjects, resulting in 32 MCI-AD, 25 MCI-SNAP, and 35 controls. A region of interest (ROI)-to-ROI analysis was carried out looking at inter- and intranetwork interactions selecting the following networks: default mode network (DMN), salience network (SN), visuospatial network (VN), and executive network. Pearson correlation coefficients, converted to Z-scores, were compared by T-tests with alpha set to 0.05, and false discovery rate corrected. Results: Groups were similar in age, education, and demographic measures, there were no differences in neuropsychological data between the MCI groups. The ROI-to-ROI analysis of MCI-AD versus MCI-SNAP showed no differences. MCI-AD versus controls showed decreased FC between ROIs of the SN and between ROIs from SN and VN. MCI-SNAP versus controls showed increased FC between an ROI of DMN and VN. Discussion: SN, DMN, and VN are multimodal networks with high value/high cost and may be more vulnerable to AD pathogenic processes. SN and VN were affected in the MCI-AD group, with maintained anticorrelation between DMN and VN. This may indicate subthreshold DMN dysfunction. The result in MCI-SNAP, although discrete, reflects a rearrangement of brain FC, as DMN and VN are expected to be anticorrelated. More research is necessary to confirm these findings.

Glycogen synthase kinase-3ß activity and cognitive functioning in patients with bipolar I disorder.

Cognitive deficits are common in patients with bipolar disorder (BD) in remission and may be associated with glycogen synthase kinase-3 (GSK-3) activity, which is inhibited by lithium. GSK-3 may be a relevant treatment target for interventions tailored at cognitive disturbances in BD but the relation between GSK-3 activity, cognition and lithium treatment is unknown. We therefore investigated the possible association between GSK-3 activity and cognition and whether lithium treatment moderates this association in patients with BD. In a prospective 6-12 month follow-up study, GSK- 3ß activity in peripheral blood mononuclear cells was measured concurrently with cognitive performance assessed using a comprehensive test battery in 27 patients with BD-I in early and late remission following a manic or mixed episode. The GSK-3ß activity, measured as serine-9 phosphorylated GSK-3ß (pGSK-3ß) and the GSK-3ß ratio (serine-9-pGSK-3ß /total GSK-3ß), was negatively associated with sustained attention (p = 0.009 and p = 0.042, respectively), but not with other cognitive domains or global cognition. A crossover interaction between lithium treatment and the GSK activity was observed, indicating that lower pGSK-3ß levels (p = 0.015) and GSK ratio (p = 0.010) were associated with better global cognition in lithium users whereas the opposite association was observed in non-lithium treated patients. Findings were not statistically significant after Bonferroni correction. In conclusion, cognitive functioning may be associated with GSK-3 activity in patients with BD-I and lithium treatment may modulate this relationship. Future studies in larger sample sizes are warranted to confirm these associations.