Meta-Science (Methods)

Mapping social reward and punishment processing in the human brain: A voxel-based meta-analysis of neuroimaging findings using the Social Incentive Delay task

Abstract Social incentives (rewards or punishments) motivate human learning and behaviour, and alterations in the brain circuits involved in the processing social incentives have been linked with several neuropsychiatric disorders. However, questions still remain about the exact neural substrates implicated in social incentive processing. Here, we conducted four Anisotropic Effect Size Signed Differential Mapping voxel-based […]

Mapping social reward and punishment processing in the human brain: A voxel-based meta-analysis of neuroimaging findings using the Social Incentive Delay task Read More »

Mechanisms of hemispheric lateralization: A replication study

Abstract It has been shown, using functional magnetic resonance imaging (fMRI), that hemispheric lateralization of brain activity depends on the requirements of the cognitive task performed during the processing of a sensory stimulus rather than on the intrinsic characteristics of that stimulus [Stephan et al., 2003, Science 301 (5631): 384-6]. Task-dependent increase in the coupling

Mechanisms of hemispheric lateralization: A replication study Read More »

Test-retest reliability of effective connectivity in the face perception network

Abstract Computational approaches have great potential for moving neuroscience toward mechanistic models of the functional integration among brain regions. Dynamic causal modeling (DCM) offers a promising framework for inferring the effective connectivity among brain regions and thus unraveling the neural mechanisms of both normal cognitive function and psychiatric disorders. While the benefit of such approaches

Test-retest reliability of effective connectivity in the face perception network Read More »

Test-retest reliability of dynamic causal modeling for fMRI

Abstract Dynamic causal modeling (DCM) is a Bayesian framework for inferring effective connectivity among brain regions from neuroimaging data. While the validity of DCM has been investigated in various previous studies, the reliability of DCM parameter estimates across sessions has been examined less systematically. Here, we report results of a software comparison with regard to

Test-retest reliability of dynamic causal modeling for fMRI Read More »

Association of rs1006737 in CACNA1C with alterations in prefrontal activation and fronto-hippocampal connectivity

Abstract Background: Genome-wide association studies have identified the rs1006737 single nucleotide polymorphism (SNP) in the CACNA1C gene as a susceptibility locus for schizophrenia and bipolar disorder. On the neural systems level this association is explained by altered functioning of the dorsolateral prefrontal cortex (DLPFC) and the hippocampal formation (HF), brain regions also affected by mental illness.

Association of rs1006737 in CACNA1C with alterations in prefrontal activation and fronto-hippocampal connectivity Read More »

Potential bias in meta-analyses of effect sizes in imaging genetics

Abstract The penetrance of genetic variation has been assumed to be higher at the level of neural phenotypes than at the level of behavioral phenotypes. One of the few attempts to validate this assumption is the study of Rose and Donohoe published in this issue. In this article, we will address 2 methodological issues we

Potential bias in meta-analyses of effect sizes in imaging genetics Read More »

Partial support for ZNF804A genotype-dependent alterations in prefrontal connectivity

Abstract Genome-wide association studies identified the single nucleotide polymorphism rs1344706 in ZNF804A as a common risk-variant for schizophrenia and bipolar disorder. Whereas the molecular function of ZNF804A is yet unclear, recent imaging genetics studies have started to characterize the neural systems architecture linking rs1344706 genotype to psychosis. Carring rs1344706 risk-alleles was associated with a decrease

Partial support for ZNF804A genotype-dependent alterations in prefrontal connectivity Read More »

Test-retest reliability of fMRI brain activity during memory encoding

Abstract The mechanisms underlying hemispheric specialization of memory are not completely understood. Functional magnetic resonance imaging (fMRI) can be used to develop and test models of hemispheric specialization. In particular for memory tasks however, the interpretation of fMRI results is often hampered by the low reliability of the data. In the present study we therefore

Test-retest reliability of fMRI brain activity during memory encoding Read More »

Functional connectivity analyses in imaging genetics: considerations on methods and data interpretation

Abstract Functional magnetic resonance imaging (fMRI) can be combined with genotype assessment to identify brain systems that mediate genetic vulnerability to mental disorders (“imaging genetics”). A data analysis approach that is widely applied is “functional connectivity”. In this approach, the temporal correlation between the fMRI signal from a pre-defined brain region (the so-called “seed point”)

Functional connectivity analyses in imaging genetics: considerations on methods and data interpretation Read More »

Scroll to Top