Avram J. Holmes spends much of his time researching Neuroscience, Functional magnetic resonance imaging, Hippocampal formation, Prefrontal cortex and Cognition. His study on Brain mapping, Putamen, Caudate nucleus and Retinotopy is often connected to Systems neuroscience as part of broader study in Neuroscience. His studies deal with areas such as Pattern recognition, Dimensionality reduction and Clinical psychology as well as Functional magnetic resonance imaging.
Many of his research projects under Hippocampal formation are closely connected to Genome-wide association study with Genome-wide association study, tying the diverse disciplines of science together. His Prefrontal cortex study combines topics in areas such as Major depressive disorder, Psychosis and Schizophrenia. His research in Cognition intersects with topics in Resting state fMRI and Generalizability theory.
Avram J. Holmes mainly investigates Neuroscience, Neuroimaging, Cognition, Functional magnetic resonance imaging and Genome-wide association study. He interconnects Schizophrenia and Gene in the investigation of issues within Neuroscience. His biological study spans a wide range of topics, including Heritability, Connectome, Artificial intelligence, Human Connectome Project and Human brain.
His Cognition study integrates concerns from other disciplines, such as Developmental psychology, Impulsivity, Analysis of variance and Regression. The Functional magnetic resonance imaging study combines topics in areas such as Audiology, Psychopathology and Brain mapping. His Putamen study combines topics in areas such as Caudate nucleus and Nucleus accumbens.
His primary areas of investigation include Neuroscience, Neuroimaging, Human brain, Cognition and Artificial intelligence. Avram J. Holmes undertakes multidisciplinary investigations into Neuroscience and Genome-wide association study in his work. His studies in Neuroimaging integrate themes in fields like Phenotype, Healthy individuals, Growth chart and Human Connectome Project.
His work deals with themes such as Major depressive disorder and Brain Structure and Function, which intersect with Phenotype. His Human Connectome Project research is multidisciplinary, relying on both Resting state fMRI, Precuneus, Posterior parietal cortex and Heritability. His research integrates issues of Machine learning and Functional connectivity in his study of Artificial intelligence.
Avram J. Holmes focuses on Neuroscience, Gene, Neuroimaging, Genome-wide association study and Brain network. He combines Neuroscience and Genetic association in his studies. His Gene research integrates issues from Major depressive disorder, Schizophrenia, Brain Structure and Function and Human brain.
His Neuroimaging research incorporates elements of Sample size determination, Feedforward neural network, Connectome, Resting state fMRI and Brain growth. There are a combination of areas like Attention deficit hyperactivity disorder, Brain mapping, Genetic architecture, Cortex and Central sulcus integrated together with his Genome-wide association study study. As part of the same scientific family, Avram J. Holmes usually focuses on Brain network, concentrating on Variation and intersecting with Cognition and Mental health.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Reduced Caudate and Nucleus Accumbens Response to Rewards in Unmedicated Individuals With Major Depressive Disorder
Diego A. Pizzagalli;A.M. Avram J. Holmes;Daniel G. Dillon;B.A. Elena L. Goetz.
American Journal of Psychiatry (2009)
Identification of common variants associated with human hippocampal and intracranial volumes
Jason L Stein;Sarah E Medland;Sarah E Medland;Alejandro Arias Vasquez;Alejandro Arias Vasquez;Derrek P Hibar.
Nature Genetics (2012)
Common genetic variants influence human subcortical brain structures.
Derrek P. Hibar;Jason L. Stein;Jason L. Stein;Miguel E. Renteria;Alejandro Arias-Vasquez.
Nature (2015)
Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI
Alexander Schaefer;Ru Kong;Evan M Gordon;Timothy O Laumann.
Cerebral Cortex (2018)
The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data
Paul M. Thompson;Jason L. Stein;Sarah E. Medland;Derrek P. Hibar.
Brain Imaging and Behavior (2014)
Brain Reactivity to Smoking Cues Prior to Smoking Cessation Predicts Ability to Maintain Tobacco Abstinence
Amy C. Janes;Diego A. Pizzagalli;Sarah Richardt;Blaise de B. Frederick.
Biological Psychiatry (2010)
Specificity of prefrontal dysfunction and context processing deficits to schizophrenia in never-medicated patients with first-episode psychosis.
Angus W. MacDonald;Cameron S. Carter;John G. Kerns;Stefan Ursu.
American Journal of Psychiatry (2005)
Parcellating cortical functional networks in individuals
Danhong Wang;Randy L Buckner;Michael D Fox;Michael D Fox;Daphne J Holt.
Nature Neuroscience (2015)
An open science resource for establishing reliability and reproducibility in functional connectomics
Xi Nian Zuo;Jeffrey S. Anderson;Pierre Bellec;Rasmus M. Birn.
Scientific Data (2014)
Childhood adversity is associated with left basal ganglia dysfunction during reward anticipation in adulthood
Daniel G. Dillon;Avram J. Holmes;Jeffrey L. Birk;Nancy Brooks.
Biological Psychiatry (2009)
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