Linear Mixed Models Minimise False Positive Rate and Enhance Precision of Mass Univariate Vertex-Wise Analyse of Grey-Matter

International audienceWe evaluated the statistical power, family wise error rate (FWER) and precision of several competing methods that perform mass-univariate vertex-wise analyses of grey-matter (thickness and surface area). In particular, we compared several generalised linear models (GLMs, current state of the art) to linear mixed models (LMMs) that have proven superior in genomics. We used phenotypes simulated from real vertex-wise data and a large sample size (N=8,662) which may soon become the norm in neuroimaging. No method ensured a FWER<5% (at a vertex or cluster level) after applying Bonferroni correction for multiple testing. LMMs should be preferred to GLMs as they minimise the false positive rate and yield smaller clusters of associations. Associations on real phenotypes must be interpreted with caution, and replication may be warranted to conclude about an association

Common genetic variants influence human subcortical brain structures

The highly complex structure of the human brain is strongly shaped by genetic influences. Subcortical brain regions form circuits with cortical areas to coordinate movement, learning, memory and motivation, and altered circuits can lead to abnormal behaviour and disease. To investigate how common genetic variants affect the structure of these brain regions, here we conduct genome-wide association studies of the volumes of seven subcortical regions and the intracranial volume derived from magnetic resonance images of 30,717 individuals from 50 cohorts. We identify five novel genetic variants influencing the volumes of the putamen and caudate nucleus. We also find stronger evidence for three loci with previously established influences on hippocampal volume and intracranial volume. These variants show specific volumetric effects on brain structures rather than global effects across structures. The strongest effects were found for the putamen, where a novel intergenic locus with replicable influence on volume (rs945270; P = 1.08 × 10(-33); 0.52% variance explained) showed evidence of altering the expression of the KTN1 gene in both brain and blood tissue. Variants influencing putamen volume clustered near developmental genes that regulate apoptosis, axon guidance and vesicle transport. Identification of these genetic variants provides insight into the causes of variability in human brain development, and may help to determine mechanisms of neuropsychiatric dysfunction

Subcortical surface morphometry in substance dependence: An ENIGMA addiction working group study

While imaging studies have demonstrated volumetric differences in subcortical structures associated with dependence on various abused substances, findings to date have not been wholly consistent. Moreover, most studies have not compared brain morphology across those dependent on different substances of abuse to identify substance‐specific and substance‐general dependence effects. By pooling large multinational datasets from 33 imaging sites, this study examined subcortical surface morphology in 1628 nondependent controls and 2277 individuals with dependence on alcohol, nicotine, cocaine, methamphetamine, and/or cannabis. Subcortical structures were defined by FreeSurfer segmentation and converted to a mesh surface to extract two vertex‐level metrics—the radial distance (RD) of the structure surface from a medial curve and the log of the Jacobian determinant (JD)—that, respectively, describe local thickness and surface area dilation/contraction. Mega‐analyses were performed on measures of RD and JD to test for the main effect of substance dependence, controlling for age, sex, intracranial volume, and imaging site. Widespread differences between dependent users and nondependent controls were found across subcortical structures, driven primarily by users dependent on alcohol. Alcohol dependence was associated with localized lower RD and JD across most structures, with the strongest effects in the hippocampus, thalamus, putamen, and amygdala. Meanwhile, nicotine use was associated with greater RD and JD relative to nonsmokers in multiple regions, with the strongest effects in the bilateral hippocampus and right nucleus accumbens. By demonstrating subcortical morphological differences unique to alcohol and nicotine use, rather than dependence across all substances, results suggest substance‐specific relationships with subcortical brain structures

Longitudinal changes in subcortical morphology in Huntington Disease and the relationship with clinical, motor and neurocognitive outcomes

Huntington disease (HD) is a devastating inherited neurodegenerative disease which causes progressive motor, psychiatric and cognitive disturbances as well as neurodegeneration. Mapping the spatiotemporal progression of neuroanatomical change in HD is fundamental to developing biomeasures suitable for prognostication and to aid in development and testing of potential treatments. The neostriatum is central to HD and is known to start to degenerate more than a decade before observable motor onset. It is central to a number of frontostriatal re-entrant circuits which regulate motor control and other forms of behaviour. Changes in striatal morphology can consequently be correlated with observable clinical, motor and cognitive outcomes. However, the neostriatum is merely one part of the "hubs and spokes" of neural circuitry and neurodegeneration in HD also occurs in other areas of the brain. The hippocampus has been less fully studied in HD and has implications for neural plasticity, particularly given neurogenesis continues into adulthood in this region. Furthermore, thickness of the corpus callosum may be used as a proxy for cortical changes that are known to occur later in HD. This thesis uses data from the IMAGE-HD study to characterise neuroanatomical changes in HD, with the aim to improve knowledge of HD-associated neurodegenerative pathways and to provide further insight to relate quantitative measures of morphology to function. A number of analytical techniques are used to investigate changes in size and shape of neuroanatomical structures and to correlate these with clinical, motor and neurocognitive outcomes. This thesis demonstrates that shape changes in the neostriatum in HD and pre-symptomatic HD correlate with functional measures subserved by corticostriatal circuits, and identifies significant longitudinal differences in putaminal and caudate shape. Only the putamen has a significant group by time interaction, suggesting that it is a better marker for longitudinal change in pre-symptomatic HD and HD. While HD has its most marked effects on the neostriatum, it also has more subtle effects on other subcortical areas. This thesis shows surface contraction occurring in HD in the hippocampus compared to controls, although without correlations to functional measures or significant longitudinal change. Unlike these "hubs", this thesis finds that the large "spoke" of the corpus callosum is not impacted early in the HD process but becomes affected after symptom onset, highlighting the spread of neurodegeneration in other structures. This is the first time that such robust statistical analysis of longitudinal shape change in HD has been able to be performed and shows the neostriatum, particularly the putamen, as a potentially useful structural basis for the characterisation of an endophenotype of HD. This thesis provides a more comprehensive picture of neuroanatomical change in HD by using a "hubs and spokes" approach to analyse key areas, increasing knowledge about neurodegenerative pathways and functional outcomes