ReviewNeuroImage2010
Imaging genetics of structural brain connectivity and neural integrity markers.
Review in NeuroImage, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Ridge Penalization in High-Dimensional Testing With Applications to Imaging Genetics.Frontiers in neuroscience · 2022Article
- A Review of Statistical Methods in Imaging Genetics.The Canadian journal of statistics = Revue canadienne de statistique · 2019Article
- Common Genetic Variant in VIT Is Associated with Human Brain Asymmetry.Frontiers in human neuroscience · 2016Article
- Cognitive control and the COMT Val¹⁵⁸Met polymorphism: genetic modulation of videogame training and transfer to task-switching efficiency.Psychological research · 2014Article
- Predicting white matter integrity from multiple common genetic variants.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2012Article
- White matter integrity, language, and childhood onset schizophrenia.Schizophrenia research · 2012Article
- Association of the brain-derived neurotrophic factor val66met polymorphism with magnetic resonance spectroscopic markers in the human hippocampus: in vivo evidence for effects on the glutamate system.European archives of psychiatry and clinical neuroscience · 2012Article
- Mapping corticocortical structural integrity in schizophrenia and effects of genetic liability.Biological psychiatry · 2011Article
- Mean diffusivity and fractional anisotropy as indicators of disease and genetic liability to schizophrenia.Journal of psychiatric research · 2011Article
- Imaging genomics.Current opinion in neurology · 2010Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
We review studies that have used diffusion imaging (DI) and magnetic resonance spectroscopy (MRS) to investigate genetic associations. A brief description of the measures obtainable with these methods and of some methodological and interpretability limitations is given. The usefulness of DI and MRS in defining intermediate phenotypes and in demonstrating the effects of common genetic variants known to increase risk for psychiatric manifestations on anatomical and metabolic phenotypes is reviewed. The main focus is on schizophrenia where the greatest amount of data has been collected. Moreover, we present an example coming from a different approach, where the genetic alteration is known (the deletion that causes Williams syndrome) and the DI phenotype can shed new light on the function of genes affected by the mutation. We conclude that, although these are still early days of this type of research and many findings remain controversial, both techniques can significantly contribute to the understanding of genetic effects in the brain and the pathophysiology of psychiatric disorders.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.