Sex differences in cognition following variations in endocrine status DOI Open Access
Rachel Bowman, Maya Frankfurt,

Victoria N. Luine

et al.

Learning & Memory, Journal Year: 2022, Volume and Issue: 29(9), P. 234 - 245

Published: Sept. 1, 2022

Spatial memory, mediated primarily by the hippocampus, is responsible for orientation in space and retrieval of information regarding location objects places an animal's environment. Since hippocampus dense with steroid hormone receptors capable robust neuroplasticity, it not surprising that changes spatial memory performance occur following a variety endocrine alterations. Here, we review cognitive both nonspatial tasks manipulations hypothalamic–pituitary–adrenal gonadal axes after exposure to disruptors rodents. Chronic stress impairs male on numerous behavioral enhances or does impact female function. Sex-dependent cognition are influenced organizational activational effects estrogen vary depending developmental age exposure, but responses hormones adulthood more similar than different sexes. Also discussed possible underlying neural mechanisms these hormone-dependent, effects. Bisphenol A (BPA), disruptor, given at low levels during adolescent development, rats object recognition adulthood. BPA's negative may be through alterations dendritic spine density areas mediate tasks. In summary, this discusses evidence status animal (presence absence hormones, disruptors) impacts function and, times, sex-specific manner.

Language: Английский

FreeSurfer‐based segmentation of hippocampal subfields: A review of methods and applications, with a novel quality control procedure for ENIGMA studies and other collaborative efforts DOI Creative Commons
Philipp G. Sämann, Juan Eugenio Iglesias, Boris A. Gutman

et al.

Human Brain Mapping, Journal Year: 2020, Volume and Issue: 43(1), P. 207 - 233

Published: Dec. 27, 2020

Abstract Structural hippocampal abnormalities are common in many neurological and psychiatric disorders, variation measures is related to cognitive performance other complex phenotypes such as stress sensitivity. Hippocampal subregions increasingly studied, automated algorithms have become available for mapping volume quantification. In the context of Enhancing Neuro Imaging Genetics through Meta Analysis Consortium, several Disease Working Groups using FreeSurfer software analyze subregion (subfield) volumes patients with conditions along data from matched controls. this overview, we explain algorithm's principles, summarize measurement reliability studies, demonstrate two additional aspects (subfield autocorrelation volume/reliability correlation) illustrative data. We then rationale a standardized subfield segmentation quality control (QC) procedure improved pipeline harmonization. To guide researchers make optimal use algorithm, discuss how global size age effects can be modeled, QC steps incorporated subfields may aggregated into composite volumes. This discussion based on synopsis 162 published neuroimaging studies (01/2013–12/2019) that applied broad range domains including cognition healthy aging, brain development neurodegeneration, affective psychosis, regulation, neurotoxicity, epilepsy, inflammatory disease, childhood adversity posttraumatic disorder, candidate whole genome (epi‐)genetics. Finally, highlight points where FreeSurfer‐based optimized.

Language: Английский

Citations

88
Neuroanatomical norms in the UK Biobank: The impact of allometric scaling, sex, and age DOI
Camille Michèle Williams, Hugo Peyre, Roberto Toro

et al.

Human Brain Mapping, Journal Year: 2021, Volume and Issue: 42(14), P. 4623 - 4642

Published: July 16, 2021

Abstract Few neuroimaging studies are sufficiently large to adequately describe population‐wide variations. This study's primary aim was generate neuroanatomical norms and individual markers that consider age, sex, brain size, from 629 cerebral measures in the UK Biobank ( N = 40,028). The secondary examine effects interactions of allometry—the nonlinear scaling relationship between a region size (e.g., total volume)—across measures. Allometry common property volumes, thicknesses, surface areas (83%) largely stable across age sex. Sex differences occurred 67% (median | β .13): 37% regions were larger males 30% females. Brain (49%) generally decreased with although aging varied sexes. While models an allometric or linear covariate adjustment for yielded similar significant effects, omitting allometry influenced reported sex variance. Finally, we contribute reproducibility research on by replicating previous examining differences. large‐scale study advances our understanding allometry's impact structure provides data future identify covary specific phenotypes, independently size.

Language: Английский

Citations

62
Brain-based Sex Differences in Depression: A Systematic Review of Neuroimaging Studies DOI Open Access
Soheil Mohammadi, Homa Seyedmirzaei, Mohammad Amin Salehi

et al.

Brain Imaging and Behavior, Journal Year: 2023, Volume and Issue: 17(5), P. 541 - 569

Published: April 14, 2023

Language: Английский

Citations

34
Deep learning methods for early detection of Alzheimer’s disease using structural MR images: a survey DOI
Sonia Ben Hassen, Mohamed Néji, Zain Hussain

et al.

Neurocomputing, Journal Year: 2024, Volume and Issue: 576, P. 127325 - 127325

Published: Jan. 23, 2024

Language: Английский

Citations

10
Sex is a defining feature of neuroimaging phenotypes in major brain disorders DOI Creative Commons
Lauren E. Salminen, Meral A. Tubi, Joanna K. Bright

et al.

Human Brain Mapping, Journal Year: 2021, Volume and Issue: 43(1), P. 500 - 542

Published: May 5, 2021

Abstract Sex is a biological variable that contributes to individual variability in brain structure and behavior. Neuroimaging studies of population‐based samples have identified normative differences between males females, many which are exacerbated psychiatric neurological conditions. Still, sex MRI outcomes understudied, particularly clinical with known disease risk, prevalence, expression symptoms. Here we review the existing literature on adult 14 distinct disorders. We discuss commonalities sources variance study designs, analysis procedures, subtype effects, impact these factors interpretation. Lastly, identify key problems neuroimaging offer potential recommendations address current barriers optimize rigor reproducibility. In particular, emphasize importance large‐scale initiatives such as Enhancing NeuroImaging Genetics through Meta‐Analyses consortium, UK Biobank, Human Connectome Project, others provide unprecedented power evaluate sex‐specific phenotypes major diseases.

Language: Английский

Citations

48
Medial Temporal Lobe Subregional Atrophy in Aging and Alzheimer's Disease: A Longitudinal Study DOI Creative Commons
Léa Chauveau, Elizabeth Kuhn, Cassandre Palix

et al.

Frontiers in Aging Neuroscience, Journal Year: 2021, Volume and Issue: 13

Published: Oct. 15, 2021

Medial temporal lobe (MTL) atrophy is a key feature of Alzheimer's disease (AD), however, it also occurs in typical aging. To enhance the clinical utility this biomarker, we need to better understand differential effects age and AD by encompassing full AD-continuum from cognitively unimpaired (CU) dementia, including all MTL subregions with up-to-date approaches using longitudinal designs assess more sensitively. Age-related trajectories were estimated best-fitted polynomials 209 CU adults (aged 19–85). Changes related investigated among amyloid-negative (Aβ−) ( n = 46) amyloid-positive (Aβ+) 14) CU, Aβ+ patients mild cognitive impairment (MCI) 33) 31). Nineteen MCI-to-AD converters compared 34 non-converters. Relationships functioning evaluated 63 MCI patients. All participants followed up 47 months. subregions, namely, anterior posterior hippocampus (aHPC/pHPC), entorhinal cortex (ERC), Brodmann areas (BA) 35 36 [as perirhinal (PRC) substructures], parahippocampal (PHC), segmented T1-weighted MRI new pipeline (LASHiS). Statistical analyses performed mixed models. Adult lifespan models highlighted both linear (PRC, BA35, BA36, PHC) nonlinear (HPC, aHPC, pHPC, ERC) trajectories. Group comparisons showed reduced baseline volumes steeper volume declines over time for most Aβ− but no differences between or (except ERC). Over time, exhibited greater decline than non-converters HPC, pHPC. Most episodic memory performances not executive speed processing. Overall, these results emphasize benefits studying distinguish age-related changes AD. Interestingly, are unequally vulnerable aging, those displaying non-linear age-trajectories, while damaged preclinical (Aβ+ CU), particularly affected prodromal stage MCI). This hippocampal substructures might provide information regarding conversion AD-dementia. together, findings insights into alterations, which crucial AD-biomarkers definition.

Language: Английский

Citations

42
Determinants of approved acetylcholinesterase inhibitor response outcomes in Alzheimer’s disease: relevance for precision medicine in neurodegenerative diseases DOI Creative Commons
Simone Lista, Andrea Vergallo, Stefan Teipel

et al.

Ageing Research Reviews, Journal Year: 2022, Volume and Issue: 84, P. 101819 - 101819

Published: Dec. 13, 2022

Language: Английский

Citations

29
Aspects of Area Deprivation Index in Relation to Hippocampal Volume Among Children DOI Creative Commons
Benson S. Ku, Katrina Aberizk, Cope Feurer

et al.

JAMA Network Open, Journal Year: 2024, Volume and Issue: 7(6), P. e2416484 - e2416484

Published: June 12, 2024

Area deprivation index (ADI) has been shown to be associated with reduced hippocampal volume (HV) among youths. The social environment may interact the association between ADI and HV.

Language: Английский

Citations

8
Scan Once, Analyse Many: Using Large Open-Access Neuroimaging Datasets to Understand the Brain DOI Creative Commons
Christopher R. Madan

Neuroinformatics, Journal Year: 2021, Volume and Issue: 20(1), P. 109 - 137

Published: May 11, 2021

We are now in a time of readily available brain imaging data. Not only researchers sharing data more than ever before, but additionally large-scale collecting initiatives underway with the vision that many future will use for secondary analyses. Here I provide an overview datasets and some example cases. Example cases include examining individual differences, robust findings, reproducibility-both public input availability as replication sample, methods development. further discuss variety considerations associated using existing opportunities large datasets. Suggestions readings on general neuroimaging topic-specific discussions also provided.

Language: Английский

Citations

38
Sperm DNA methylation alterations from cannabis extract exposure are evident in offspring DOI Creative Commons
Rose Schrott, Jennifer L. Modliszewski, Andrew B. Hawkey

et al.

Epigenetics & Chromatin, Journal Year: 2022, Volume and Issue: 15(1)

Published: Sept. 10, 2022

Abstract Background Cannabis legalization is expanding and men are the predominant users. We have limited knowledge about how cannabis impacts sperm whether effects heritable. Results Whole genome bisulfite sequencing (WGBS) data were generated for of rats exposed to: (1) extract (CE) 28 days, then 56 days vehicle only (~ one spermatogenic cycle); (2) CE; or (3) only. Males mated with drug-naïve females to produce F1 offspring from which heart, brain, tissues underwent analyses. There 3321 nominally significant differentially methylated CpGs in F0 identified via WGBS select methylation changes validated pyrosequencing. Significant males at gene 2-Phosphoxylose Phosphatase 1 ( Pxylp1 ) also detectable their but not controls. Changes Metastasis Suppressor 1-Like Protein Mtss1l present hippocampal nucleus accumbens (NAc) group compared For , a sex-specific relationship between DNA expression was demonstrated NAc. Phenotypically, born CSE-exposed fathers exhibited cardiomegaly relative those control fathers. Conclusions This first characterization effect exposure on entirety rat methylome. CE-associated across methylome, some persisted despite “washout” period. Select pyrosequencing, genes associated involved early developmental processes. Preconception CE that functionally related cardiomegaly. These results support paternal preconception can influence outcomes.

Language: Английский

Citations

24