1.
Genetic neuroimaging of bipolar disorder: a systematic 2017-2020 update.
Janiri, D, Kotzalidis, GD, di Luzio, M, Giuseppin, G, Simonetti, A, Janiri, L, Sani, G
Psychiatric genetics. 2021;(2):50-64
Abstract
There is evidence of genetic polymorphism influences on brain structure and function, genetic risk in bipolar disorder (BD), and neuroimaging correlates of BD. How genetic influences related to BD could be reflected on brain changes in BD has been efficiently reviewed in a 2017 systematic review. We aimed to confirm and extend these findings through a Preferred Reporting Items for Systematic reviews and Meta-Analyses-based systematic review. Our study allowed us to conclude that there is no replicated finding in the timeframe considered. We were also unable to further confirm prior results of the BDNF gene polymorphisms to affect brain structure and function in BD. The most consistent finding is an influence of the CACNA1C rs1006737 polymorphism in brain connectivity and grey matter structure and function. There was a tendency of undersized studies to obtain positive results and large, genome-wide polygenic risk studies to find negative results in BD. The neuroimaging genetics in BD field is rapidly expanding.
2.
The potential role of nutritional components in improving brain function among patients with Alzheimers disease: a meta-analysis of RCT studies.
Albrahim, T
Neurosciences (Riyadh, Saudi Arabia). 2020;(1):4-17
Abstract
OBJECTIVE To find out the potential role of nutritional components in improving brain function among patients with Alzheimer`s disease (AD). METHODS The correlation between nutrition and cerebral function in cases of AD has been the focus of 19 prospective randomised controlled trials (RCTs) with a combined research sample of 2297 patients. These RCTs are subject to systematic review and meta-analysis in the current paper RESULTS Findings showed that chain-free secondary saturated fatty acids (SFA) and trans fatty acids (TFA) occurred in higher concentrations in AD patients` brains than in controls. Furthermore, neuroinflammation was caused by remodelling of the lipid membrane and AD patients` cognitive function was impacted by alterations in tyrosine, tryptophan, purine, and tocopherol pathway metabolomics. Moreover, in cases of mild-to-moderate AD, reduction in functionality was induced by administration of alpha-tocopherol for more than 12 months. Consumption of Souvenaid helps in synaptic synthesis, which enhances functional connectivity. Furthermore, consumption of the B vitamins folate, cobalamin and pyridoxine at dosages of 0.8 mg, 0.5 mg and 20 mg per day, respectively, over a period of one year resulted in lower plasma tHcy levels and brain atrophy. CONCLUSION Chain-free SFA and TFA occur in greater amounts in the brains of individuals with AD than in those without AD.
3.
A resting state fMRI analysis pipeline for pooling inference across diverse cohorts: an ENIGMA rs-fMRI protocol.
Adhikari, BM, Jahanshad, N, Shukla, D, Turner, J, Grotegerd, D, Dannlowski, U, Kugel, H, Engelen, J, Dietsche, B, Krug, A, et al
Brain imaging and behavior. 2019;(5):1453-1467
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Abstract
Large-scale consortium efforts such as Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) and other collaborative efforts show that combining statistical data from multiple independent studies can boost statistical power and achieve more accurate estimates of effect sizes, contributing to more reliable and reproducible research. A meta- analysis would pool effects from studies conducted in a similar manner, yet to date, no such harmonized protocol exists for resting state fMRI (rsfMRI) data. Here, we propose an initial pipeline for multi-site rsfMRI analysis to allow research groups around the world to analyze scans in a harmonized way, and to perform coordinated statistical tests. The challenge lies in the fact that resting state fMRI measurements collected by researchers over the last decade vary widely, with variable quality and differing spatial or temporal signal-to-noise ratio (tSNR). An effective harmonization must provide optimal measures for all quality data. Here we used rsfMRI data from twenty-two independent studies with approximately fifty corresponding T1-weighted and rsfMRI datasets each, to (A) review and aggregate the state of existing rsfMRI data, (B) demonstrate utility of principal component analysis (PCA)-based denoising and (C) develop a deformable ENIGMA EPI template based on the representative anatomy that incorporates spatial distortion patterns from various protocols and populations.
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Sex differences in brain responses to food stimuli: a meta-analysis on neuroimaging studies.
Yeung, AWK
Obesity reviews : an official journal of the International Association for the Study of Obesity. 2018;(8):1110-1115
Abstract
The aims of the current study were to update the inclusion list of relevant neuroimaging studies, meta-analyse the neuroimaging data and thus synthesize a brain map showing locations with differential activations between men and women. Published studies to 2017 were retrieved and included into the analysis if they evaluated patients' brain responses to food or eating stimuli with functional magnetic resonance imaging or positron emission tomography and reported activation differences between the sexes in the form of brain coordinates based on whole-brain analysis. Eight studies that comprised a total of 231 participants fulfilled the inclusion criteria. Men had larger neural responses to food stimuli than women in the anterior and middle cingulate, which are related to emotion regulation. Meanwhile, women had larger neural responses to food stimuli than men in the parahippocampus, the thalamus and the precuneus, which are collectively relevant in the context of promotion of eating. The differential brain responses to food or eating stimuli between men and women may shed light on the neurobiology to help explain the sex differences in eating behaviour.