Anders M. Dale
University of California, San Diego
Genome-wide association studyInternal medicinePathologyMagnetic resonance imagingDiffusion MRISingle-nucleotide polymorphismArtificial intelligencePsychologyNeuroscienceCognitionGenetic associationDiseaseCerebral cortexWhite matterComputer scienceBrain mappingGeneticsAudiologyNeuroimagingMedicineBiology
886Publications
166H-index
116kCitations
Publications 852
Newest
#1Weiqi Zhao (UCLA: University of California, Los Angeles)H-Index: 5
#1Weiqi Zhao (UCLA: University of California, Los Angeles)H-Index: 1
Last. Chun Chieh Fan (UCSD: University of California, San Diego)H-Index: 26
view all 9 authors...
Despite its central role in revealing the neurobiological mechanisms of behavior, neuroimaging research faces the challenge of producing reliable biomarkers for cognitive processes and clinical outcomes. Statistically significant brain regions, identified by mass univariate statistical models commonly used in neuroimaging studies, explain minimal phenotypic variation, limiting the translational utility of neuroimaging phenotypes. This is potentially due to the observation that behavioral traits ...
6 CitationsSource
#1Olav B. Smeland (Oslo University Hospital)H-Index: 22
#2Alexey A. Shadrin (Oslo University Hospital)H-Index: 12
Last. Ole A. Andreassen (Oslo University Hospital)H-Index: 123
view all 22 authors...
Abstract Background Parkinson’s disease (PD) and schizophrenia (SCZ) are heritable brain disorders that both involve dysregulation of the dopaminergic system. Epidemiological studies have reported potential comorbidity between the disorders, and movement disturbances are common in SCZ patients before treatment with antipsychotic drugs. Despite this, little is known about shared genetic etiology between the disorders. Methods We analyzed recent large genome-wide associations studies (GWAS) on SCZ...
2 CitationsSource
#1Christopher C. Conlin (UCSD: University of California, San Diego)H-Index: 3
#2Christine H. Feng (UCSD: University of California, San Diego)H-Index: 5
Last. Anders M. Dale (UCSD: University of California, San Diego)H-Index: 166
view all 10 authors...
BACKGROUND Multicompartmental modeling outperforms conventional diffusion-weighted imaging (DWI) in the assessment of prostate cancer. Optimized multicompartmental models could further improve the detection and characterization of prostate cancer. PURPOSE To optimize multicompartmental signal models and apply them to study diffusion in normal and cancerous prostate tissue in vivo. STUDY TYPE Retrospective. SUBJECTS Forty-six patients who underwent MRI examination for suspected prostate cancer; 2...
1 CitationsSource
#1Emilie T. Reas (UCSD: University of California, San Diego)H-Index: 13
#2Donald J. Hagler (UCSD: University of California, San Diego)H-Index: 88
Last. Linda K. McEvoy (UCSD: University of California, San Diego)H-Index: 66
view all 6 authors...
Normal brain aging is characterized by declining neuronal integrity, yet it remains unclear how microstructural injury influences cognitive aging and whether such mechanisms differ between sexes. Using restriction spectrum imaging (RSI), we examined sex differences in associations between brain microstructure and cognitive function in 147 community-dwelling older men and women (56-99 years). Gray and white matter microstructure correlated with global cognition, executive function, visuospatial m...
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#1Roshan Karunamuni (UCSD: University of California, San Diego)H-Index: 15
#2Minh-Phuong Huynh-Le (GW: George Washington University)H-Index: 10
Last. Tyler M. Seibert (UCSD: University of California, San Diego)H-Index: 18
view all 48 authors...
We previously developed an African-ancestry-specific polygenic hazard score (PHS46+African) that substantially improved prostate cancer risk stratification in men with African ancestry. The model consists of 46 SNPs identified in Europeans and 3 SNPs from 8q24 shown to improve model performance in Africans. Herein, we used principal component (PC) analysis to uncover subpopulations of men with African ancestry for whom the utility of PHS46+African may differ. Genotypic data were obtained from PR...
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#1Roshan Karunamuni (UCSD: University of California, San Diego)H-Index: 15
#2Minh-Phuong Huynh-Le (GW: George Washington University)H-Index: 10
Last. Zsofia Kote-Jarai (ICR: Institute of Cancer Research)H-Index: 61
view all 0 authors...
Abstract null We previously developed an African-ancestry-specific polygenic hazard score (PHS46+African) that substantially improved prostate cancer risk stratification in men with African ancestry. The model consists of 46 SNPs identified in Europeans and 3 SNPs from 8q24 shown to improve model performance in Africans. Herein, we used principal component (PC) analysis to uncover subpopulations of men with African ancestry for whom the utility of PHS46+African may differ. Genotypic data were ob...
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#1Francesca Puppo (BU: Boston University)H-Index: 13
#1Francesca Puppo (BU: Boston University)
Last. Anna Devor (BU: Boston University)H-Index: 38
view all 17 authors...
Voltage imaging and "all-optical electrophysiology" in human induced pluripotent stem cell (hiPSC)-derived neurons have opened unprecedented opportunities for high-throughput phenotyping of activity in neurons possessing unique genetic backgrounds of individual patients. While prior all-optical electrophysiology studies relied on genetically encoded voltage indicators, viral transduction of human neurons with large or multiple expression vectors can impact cell function and often lead to massive...
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#1Shahram Bahrami (Oslo University Hospital)H-Index: 9
#2Alexey A. Shadrin (Oslo University Hospital)H-Index: 12
Last. Ole A. Andreassen (UCSD: University of California, San Diego)H-Index: 123
view all 15 authors...
Genome-wide association studies (GWAS) have identified several common genetic variants influencing major depression and general cognitive abilities, but little is known about whether the two share any of their genetic aetiology. Here we investigate shared genomic architectures between major depression (MD) and general intelligence (INT) with the MiXeR statistical tool and their overlapping susceptibility loci with conjunctional false discovery rate (conjFDR), which evaluate the level of overlap ...
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#1Solveig Næss (University of Oslo)H-Index: 5
#2Geir Halnes (NMBU: Norwegian University of Life Sciences)H-Index: 13
Last. Torbjørn V. Ness (NMBU: Norwegian University of Life Sciences)H-Index: 12
view all 7 authors...
Electroencephalography (EEG) and magnetoencephalography (MEG) are among the most important techniques for non-invasively studying cognition and disease in the human brain. These signals are known to originate from cortical neural activity, typically described in terms of current dipoles. While the link between cortical current dipoles and EEG/MEG signals is relatively well understood, surprisingly little is known about the link between different kinds of neural activity and the current dipoles t...
4 CitationsSource
#1Dennis van der Meer (University of Oslo)H-Index: 20
#1van der Meer (University of Oslo)H-Index: 1
Last. DaleH-Index: 1
view all 17 authors...
The folding of the human cerebral cortex is a highly genetically regulated process that allows for a much larger surface area to fit into the cranial vault and optimizes functional organization. Sulcal depth is a robust, yet understudied measure of localized folding, previously associated with a range of neurodevelopmental disorders. Here, we report the first genome-wide association study of sulcal depth. Through the Multivariate Omnibus Statistical Test (MOSTest) applied to vertex-wise measures...
1 CitationsSource