A triple-network organization for the mouse brain.

The triple-network model of psychopathology is a framework to explain the functional and structural neuroimaging phenotypes of psychiatric and neurological disorders. It describes the interactions within and between three distributed networks: the salience, default-mode, and central executive networks. These have been associated with brain disorder traits in patients. Homologous networks have been proposed in animal models, but their integration into a triple-network organization has not yet been determined. Using resting-state datasets, we demonstrate conserved spatio-temporal properties between triple-network elements in human, macaque, and mouse. The model predictions were also shown to apply in a mouse model for depression. To validate spatial homologies, we developed a data-driven approach to convert mouse brain maps into human standard coordinates. Finally, using high-resolution viral tracers in the mouse, we refined an anatomical model for these networks and validated this using optogenetics in mice and tractography in humans. Unexpectedly, we find serotonin involvement within the salience rather than the default-mode network. Our results support the existence of a triple-network system in the mouse that shares properties with that of humans along several dimensions, including a disease condition. Finally, we demonstrate a method to humanize mouse brain networks that opens doors to fully data-driven trans-species comparisons.

Novel genetic variants associated with brain functional networks in 18,445 adults from the UK Biobank.

Here, we investigated the genetics of weighted functional brain network graph theory measures from 18,445 participants of the UK Biobank (44-80 years). The eighteen measures studied showed low heritability (mean h2SNP = 0.12) and were highly genetically correlated. One genome-wide significant locus was associated with strength of somatomotor and limbic networks. These intergenic variants were located near the PAX8 gene on chromosome 2. Gene-based analyses identified five significantly associated genes for five of the network measures, which have been implicated in sleep duration, neuronal differentiation/development, cancer, and susceptibility to neurodegenerative diseases. Further analysis found that somatomotor network strength was phenotypically associated with sleep duration and insomnia. Single nucleotide polymorphism (SNP) and gene level associations with functional network measures were identified, which may help uncover novel biological pathways relevant to human brain functional network integrity and related disorders that affect it.

Age- and Sex-Related Topological Organization of Human Brain Functional Networks and Their Relationship to Cognition.

Age and sex associated with changes in the functional brain network topology and cognition in large population of older adults have been poorly understood. We explored this question further by examining differences in 11 resting-state graph theory measures with respect to age, sex, and their relationships with cognitive performance in 17,127 United Kingdom Biobank participants (mean = 62.83 ± 7.41 years). Age was associated with an overall decrease in the effectiveness of network communication (i.e., integration) and loss of functional specialization (i.e., segregation) of specific brain regions. Sex differences were also observed, with women showing more efficient networks, which were less segregated than in men (FDR adjusted p < 0.05). The age-related changes were also more apparent in men than in women, which suggests that men may be more vulnerable to cognitive decline with age. Interestingly, while network segregation and strength of limbic network were only nominally associated with cognitive performance, the network measures collectively were significantly associated with cognition (FDR adjusted p ≤ 0.002). This may imply that individual measures may be inadequate to capture much of the variance in the neural activity or its output and need further refinement. The complexity of the organization of the functional brain may be shaped by the age and sex of an individual, which ultimately may influence the cognitive performance of older adults. Age and sex stratification may be used to inform clinical neuroscience research to identify older adults at risk of cognitive dysfunction.

Cerebral Small Vessel Disease Influences Hippocampal Subfield Atrophy in Mild Cognitive Impairment.

To investigate patterns of hippocampal subfield atrophy among patients with amnestic mild cognitive impairment, stratified by severity of small vessel disease (SVD) and corresponding associations with cognitive domains. One hundred seventy-six MCI subjects (mean age = 65.56 years, SD = 8.77) underwent neuropsychological assessments and magnetic resonance imaging. SVD was rated 0 (no SVD), 1 (mild SVD) and 2 (moderate to severe SVD) based on load of white matter hyperintensities (WMH) and lacunes. Demographics, cerebrovascular risk factors, grey and white matter volumes and hippocampal subfield atrophies were compared across SVD severity through ANCOVA analyses. Subjects were categorized into positive or negative SVD-hippocampal subfield atrophy (HSA) and influence of positive SVD-HSA on episodic memory and frontal executive function was evaluated through ANCOVA analyses. All analyses corrected for covariates and bias-corrected bootstrap estimation with 1000 resamples was applied with Bonferroni correction. Hippocampal subfield atrophy worsened with increasing SVD severity. Positive SVD-HSA was characterised by significant atrophy in the subiculum, CA1, CA4, molecular layer and dentate gyrus. Greater atrophy was seen with moderate to severe SVD compared to mild SVD in these subfields. Atrophy in the five subfields of SVD-HSA was significantly associated with poor episodic memory and frontal executive function. Presence and burden of SVD influences the pattern and severity of hippocampal subfield atrophy. SVD-related hippocampal subfield atrophy is associated with poorer episodic memory and frontal executive function in mild cognitive impairment.

Confluent White Matter in Progression to Alzheimer Dementia.

BACKGROUND: Alongside Alzheimer disease pathology, cerebral small vessel disease (CSVD) contributes to the differential progression rates from mild cognitive impairment (MCI) to dementia. Hence, identification of specific type of CSVD lesions that influence progression is needed. OBJECTIVE: The objective of this study was to evaluate the role of silent CSVD in the progression from MCI to dementia and if confluent white matter hyperintensities (WMHs) pose a higher risk for progression in the clinical setting. METHODS: Patients with MCI with baseline magnetic resonance imaging and longitudinal follow-up were evaluated. WMH were quantified using visual scoring at baseline (all subjects) and at end of study period (subgroup). Influences of baseline total WMH, baseline confluent WMH, and increase of WMH on progression from MCI to dementia were analyzed. RESULTS: A total of 200 patients with a mean age of 67.9 (SD 8.7) years were evaluated. Progression to dementia was significantly higher among patients with MCI with confluent WMH (55.7% vs. 32.3%; P<0.001). The odds ratio of a patient with confluent WMH progressing to dementia was 2.66. The annual decline in Mini Mental State Examination was significantly higher in those with confluent WMH lesions (-1.60 vs. -1.20; P=0.010). In the subgroup with follow-up magnetic resonance imaging (n=70), patients who demonstrated an increase in WMH had greater decline in annual Mini Mental State Examination scores (-1.79 vs. -0.59; P=0.054). CONCLUSION: Confluent WMH lesions in MCI are associated with higher rates of progression to dementia.

Associations between Alzheimer's disease polygenic risk scores and hippocampal subfield volumes in 17,161 UK Biobank participants.

Hippocampal volume is an important biomarker of Alzheimer's disease (AD), and genetic risk of AD is associated with hippocampal atrophy. However, the hippocampus is not a uniform structure and has a number of subfields, the associations of which with age, sex, and polygenic risk score for AD (PRSAD) have been inadequately investigated. We examined these associations in 17,161 cognitively normal UK Biobank participants (44-80 years). Age was negatively associated with all the hippocampal subfield volumes and females had smaller volumes than men. Higher PRSAD was associated with lower volumes in the bilateral whole hippocampus, hippocampal-amygdala-transition-area, and hippocampal tail; right subiculum; left cornu ammonis 1, cornu ammonis 4, molecular layer, and granule cell layer of dentate gyrus. Older individuals (median age 63 years, n = 8984) showed greater subfield vulnerability to high PRSAD compared to the younger group (n = 8177), but the effect did not differ by sex. The pattern of subfield involvement in relation to the PRSAD in community dwelling healthy individuals sheds additional light on the pathogenesis of AD.

Effective Self-Management for Early Career Researchers in the Natural and Life Sciences.

Early career researchers (ECRs) are faced with a range of competing pressures in academia, making self-management key to building a successful career. The Organization for Human Brain Mapping undertook a group effort to gather helpful advice for ECRs in self-management.

Genetic influence on ageing-related changes in resting-state brain functional networks in healthy adults: A systematic review.

This systematic review examines the genetic and epigenetic factors associated with resting-state functional connectivity (RSFC) in healthy human adult brains across the lifespan, with a focus on genes associated with Alzheimer's disease (AD). There were 58 studies included. The key findings are: (i) genetic factors have a low to moderate contribution; (ii) the apolipoprotein E ε2/3/4 polymorphism was the most studied genetic variant, with the APOE-ε4 allele most consistently associated with deficits of the default mode network, but there were insufficient studies to determine the relationships with other AD candidate risk genes; (iii) a single genome-wide association study identified several variants related to RSFC; (iv) two epigenetic independent studies showed a positive relationship between blood DNA methylation of the SLC6A4 promoter and RSFC measures. Thus, there is emerging evidence that genetic and epigenetic variation influence the brain's functional organisation and connectivity over the adult lifespan. However, more studies are required to elucidate the roles genetic and epigenetic factors play in RSFC measures across the adult lifespan.

Hippocampal subfield atrophy of CA1 and subicular structures predict progression to dementia in idiopathic Parkinson's disease.

BACKGROUND: Global hippocampal atrophy is a hallmark of Alzheimer's dementia and has been similarly reported in Parkinson's disease dementia (PDD). However, there is limited literature on the differential involvement of hippocampal subfields in predicting conversion to PDD. This study is an extension of previous findings on progression to mild cognitive impairment in Parkinson's disease (PD). METHODS: This cohort study recruited 73 non-demented participants with idiopathic PD (age 65.80±8.17, 75.3% male) from an outpatient neurology clinic. All participants underwent clinical assessment, neuropsychological testing and 3T MRI scans at baseline and 18 months while on prescribed dopaminergic medication. Hippocampal subfield volumes were obtained using automatic segmentation in FreeSurfer V.6.0. Participants who progressed to PDD and those who did not were compared on hippocampal subfield atrophy and cognitive change (episodic memory, attention, executive functions, language, visuospatial abilities). Subfields were further examined for their abilities to predict PDD conversion and distinguish PDD from non-demented PD using receiver operating characteristic analysis. RESULTS: Smaller baseline global hippocampal volume, cornu ammonis (CA) subfield CA1, subiculum and presubiculum volumes were observed in participants who went on to develop dementia, and predicted PDD conversion. Those who progressed to PDD saw greater decline in global hippocampal volume, granule cell layer of the dentate gyrus, presubiculum, parasubiculum and fimbria. Decline in subiculum and fimbria volume corresponded to cognitive decline in attention and executive functions, respectively. CONCLUSIONS: Early atrophy of CA1, subiculum and presubiculum preceded, and predicted, PDD conversion. Differential patterns of subfield atrophy were also observed among those who progressed to PDD and were associated with impaired executive functions.

The many ages of man: diverse approaches to assessing ageing-related biological and psychological measures and their relationship to chronological age.

PURPOSE OF REVIEW: Chronological age is a crude measure and may not be the best indicator of the ageing process. Establishing valid and reliable biomarkers to understand the true effect of ageing is of great interest. We provide an overview of biological and psychological characteristics that change with age and can potentially serve as markers of the ageing process, and discuss if an integration of these characteristics may more accurately measure the true age of a person. We also describe the clinicopathological continuum of these ageing-related changes. RECENT FINDINGS: Ageing-related changes in the biological and psychological systems of the body have been studied to varying degrees and with differing emphases. Despite the development of ageing indices, there is no single indicator that can holistically estimate the ageing process. Differential ageing of bodily systems remains poorly understood, and valid methods have not been developed for composite markers of biological and psychological processes. SUMMARY: The ageing process is complex and heterogeneous. Incorporating biological and psychological measures may improve accuracy in reflecting an individual's 'true age,' and elucidate why some people age successfully, whereas others show ageing-related decline and disease.

Serial position effects differ between Alzheimer's and vascular features in mild cognitive impairment.

Individuals with mild cognitive impairment (MCI) exhibit varying serial position effect (SPE) performances. The relationship between SPE performance in word list recall and clinical, genetic, and neuroimaging features of MCI requires elucidation. 119 MCI and 68 cognitively normal (CN) participants underwent cognitive assessment, apolipoprotein E (ApoE) genotyping, and volumetric MRI brain scans processed via voxel-based morphometry. A 10-word recall task was used to assess SPE performance in relation to recency and primacy recall. MCI participants were classified as having Good SPE performance (high primacy and recency, Good SPE) or Poor SPE performance (low primacy only, LP-SPE; low recency only, LR-SPE; or both low, Low SPE). Poor SPE participants had reduced grey matter (GM) volumes and increased white matter hyperintensities (WMH) volumes. Participants with LP-SPE demonstrated reduced hippocampal GM volumes and were more likely to be ApoE ε4 carriers. LR-SPE was associated with higher WMH volumes. Presence of both greater WMH volumes and ApoE ε4 resulted in Low SPE. LP-SPE MCI participants had features typical of Alzheimer's disease. LR-SPE MCI was associated with increased WMH volumes, likely representing vascular pathology. SPE profiles are associated with distinct clinical patterns of MCI pathophysiology and could have potential as a clinical marker.

Regional White Matter Hyperintensity Influences Grey Matter Atrophy in Mild Cognitive Impairment.

The association between cerebrovascular disease pathology (measured by white matter hyperintensities, WMH) and brain atrophy in early Alzheimer's disease (AD) remain to be elucidated. Thus, we investigated how WMH influence neurodegeneration and cognition in prodromal and clinical AD. We examined 51 healthy controls, 35 subjects with mild cognitive impairment (MCI), and 30 AD patients. We tested how total and regional WMH is related to specific grey matter volume (GMV) reductions in MCI and AD compared to controls. Stepwise regression analysis was further performed to investigate the association of GMV and regional WMH volume with global cognition. We found that total WMH volume was highest in AD but showed the strongest association with lower GMV in MCI. Frontal and parietal WMH had the most extensive influence on GMV loss in MCI. Additionally, parietal lobe WMH volume (but not hippocampal atrophy) was significantly associated with global cognition in MCI while smaller hippocampal volume (but not WMH volume) was associated with lower global cognition in AD. Thus, although WMH volume was highest in AD subjects, it had a more pervasive influence on brain structure and cognitive impairment in MCI. Our study thus highlights the importance of early detection of cerebrovascular disease, as its intervention at the MCI stage might potentially slow down neurodegeneration.

Dyslexic Characteristics of Chinese-Speaking Semantic Variant of Primary Progressive Aphasia.

Reading disorder is a recognized feature in primary progressive aphasia (PPA). Surface dyslexia, characterized by regularization errors, is typically seen in the English-speaking semantic variant of PPA (svPPA). However, dyslexic characteristics of other languages, particularly logographical languages such as Chinese, remain sparse in the literature. This study aims to characterize and describe the dyslexic pattern in this group of patients by comparing an English-speaking svPPA group with a Chinese-speaking svPPA group. The authors hypothesized that Chinese-speaking individuals with svPPA would likely commit fewer surface dyslexic errors. By accessing the database of Singapore's National Neuroscience Institute and the National Alzheimer's Coordinating Center of the United States, the authors identified three Chinese-speaking and 18 English-speaking patients with svPPA, respectively, for comparison. The results suggest that, instead of surface dyslexia, svPPA in Chinese-speaking individuals is characterized by a profound deep dyslexic error. Based on current evidence suggesting the role of the temporal pole as a semantic convergence center, the authors conclude that this region also mediates and converges lexical-semantic significance in logographical languages.

Influence of diabetes mellitus on longitudinal atrophy and cognition in Parkinson's disease.

OBJECTIVE: To investigate the impact of diabetes mellitus (DM) on cognitive performance and longitudinal volumetric brain changes in a cohort of cognitively normal mild PD patients. METHODS: Prospective study of idiopathic PD subjects who underwent baseline and follow-up MRI imaging and neuropsychological assessments at 6month intervals for 3years. Subjects were classified based on the presence (PD-DM) or absence of DM (PD-No DM) at baseline. Volumetric analysis was performed using FreeSurfer 5.3 image analysis suite. Brain volume and cognition were compared and analyzed cross-sectionally and longitudinally. Analyses were corrected for intracranial volume. RESULTS: There were 65 PD-no DM and 12 PD-DM subjects at baseline with comparable global cognition at baseline. PD-DM subjects had lower cortical grey matter (GM), amygdala, frontal white matter and temporal white matter volumes and higher total white matter hyperintensity and periventricular hyperintensities. After mean follow-up of 29.08months, there were 51 PD-no DM and 11 PD-DM subjects. PD-DM subjects demonstrated greater decline in MMSE and MOCA scores compared to PD-No DM. PD-DM subjects had a higher rate of atrophy in the cortical WM, particularly in the parietal and occipital white matter. CONCLUSION: Mild PD patients with DM have lower GM and WM volumes at baseline and higher WMH volumes, despite comparable cognitive scores. Longitudinally, DM in PD results in greater rate of cognitive decline, associated with higher WM atrophy.

Associations of hippocampal subfields in the progression of cognitive decline related to Parkinson's disease.

OBJECTIVE: Hippocampal atrophy has been associated with mild cognitive impairment (MCI) in Parkinson's disease (PD). However, literature on how hippocampal atrophy affects the pathophysiology of cognitive impairment in PD has been limited. Previous studies assessed the hippocampus as an entire entity instead of their individual subregions. We studied the progression of cognitive status in PD subjects over 18 in relation to hippocampal subfields atrophy. METHODS: 65 PD subjects were included. Using the MDS task force criteria, PD subjects were classified as either having no cognitive impairment (PD-NCI) or PD-MCI. We extended the study by investigating the hippocampal subfields atrophy patterns in those who converted from PD-NCI to PD-MCI (PD-converters) compared to those who remained cognitively stable (PD-stable) over 18 months. Freesurfer 6.0 was used to perform the automated segmentation of the hippocampus into thirteen subregions. RESULTS: PD-MCI showed lower baseline volumes in the left fimbria, right CA1, and right HATA; and lower global cognition scores compared to PD-NCI. Baseline right CA1 was also correlated with baseline attention. Over 18 months, decline in volumes of CA2-3 and episodic memory were also seen in PD-converters compared to PD-stable. Baseline volumes of GC-DG, right CA4, left parasubiculum, and left HATA were predictive of the conversion from PD-NCI to PD-MCI. CONCLUSION: The findings from this study add to the anatomical knowledge of hippocampal subregions in PD, allowing us to understand the unique functional contribution of each subfield. Structural changes in the hippocampus subfields could be early biomarkers to detect cognitive impairment in PD.

Progression of small vessel disease correlates with cortical thinning in Parkinson's disease.

OBJECTIVE: Cerebral small-vessel disease (SVD) is a risk factor for dementia in Parkinson's disease (PD), however the pathophysiological role of SVD in PD-dementia is unclear. We investigated the impact of baseline and progression of SVD on cortical thickness and the correlation to cognition. METHODS: Seventy-three mild PD patients with baseline and follow-up structural MRI scans, serial clinical and neuropsychological assessments were studied. SVD included the load of white matter hyperintensities (WMH), lacunes and perivascular spaces (PVS). WMH progression was assessed using the modified Rotterdam Progression scale, while for lacunes and PVS, development of new lesions was considered as lesion progression. Patients were classified as having SVD-progression and SVD-no-progression based on the longitudinal changes in their SVD measures. Freesurfer was used to measure baseline and follow-up regional cortical thickness and subcortical volumes and correlated to cognitive performance. RESULTS: Fourteen patients were classified as SVD-progression and 59 as SVD-no-progression. Over 18 months, PD SVD-progression demonstrated significant cortical thinning in the left frontal and bilateral parietal regions with associated decline in memory, executive function, and motor functions. PD SVD-progression also had reduced volumes in the nucleus accumbens and amygdala at baseline and greater atrophy in the caudate nucleus over 18 months. DISCUSSION: The extent and progression of SVD is associated with focal cerebral atrophy and domain-specific cognitive dysfunction. Measures to retard SVD may be potentially useful in preventing dementia in PD.