Nathan Kline Institute for Psychiatric Research
Francisco X. Castellanos mostly deals with Neuroimaging, Neuroscience, Attention deficit hyperactivity disorder, Brain mapping and Psychiatry. Francisco X. Castellanos has researched Neuroimaging in several fields, including Cognition, Psychopathology, Applied psychology and Actigraphy. His study in Functional magnetic resonance imaging and Prefrontal cortex are all subfields of Neuroscience.
The concepts of his Functional magnetic resonance imaging study are interwoven with issues in Resting state fMRI and Connectome. His biological study spans a wide range of topics, including Hyperconnectivity, Autism, Default mode network and Pattern recognition. His study looks at the relationship between Attention deficit hyperactivity disorder and fields such as Basal ganglia, as well as how they intersect with chemical problems.
Francisco X. Castellanos mainly investigates Attention deficit hyperactivity disorder, Neuroscience, Resting state fMRI, Neuroimaging and Default mode network. His Attention deficit hyperactivity disorder research incorporates themes from Conduct disorder, Socioeconomic status, Meta-analysis and Audiology. His Neuroscience and Functional magnetic resonance imaging, Prefrontal cortex, Cognition, Brain mapping and Putamen investigations all form part of his Neuroscience research activities.
Francisco X. Castellanos has included themes like Connectome, Clinical psychology and Amygdala in his Functional magnetic resonance imaging study. His studies in Resting state fMRI integrate themes in fields like Endocrinology, Multivariate analysis, Posterior cingulate, Autism and Reliability. His Default mode network research includes elements of Major depressive disorder and Internal medicine.
Francisco X. Castellanos focuses on Default mode network, Neuroimaging, Attention deficit hyperactivity disorder, Neuroscience and Resting state fMRI. He studied Default mode network and Major depressive disorder that intersect with Functional brain, Oncology and Internal medicine. His work carried out in the field of Neuroimaging brings together such families of science as Cerebral cortex, Autism, Disease and Artificial intelligence.
His studies deal with areas such as Autism spectrum disorder, Functional magnetic resonance imaging, Mean age and Audiology as well as Attention deficit hyperactivity disorder. His Neuroscience research incorporates elements of Serotonergic and Raphe nuclei. His Resting state fMRI research is multidisciplinary, relying on both Reliability, Network model, Stimulant and Biological neural network.
The scientist’s investigation covers issues in Neuroimaging, Attention deficit hyperactivity disorder, Default mode network, Autism spectrum disorder and Neuroscience. His Neuroimaging study combines topics from a wide range of disciplines, such as Cerebral cortex and Clinical psychology. His work in Attention deficit hyperactivity disorder addresses issues such as Audiology, which are connected to fields such as Cohort.
His Default mode network research focuses on Major depressive disorder and how it relates to Functional brain, Prefrontal cortex, Rumination and Neural correlates of consciousness. His is involved in several facets of Neuroscience study, as is seen by his studies on Resting state fMRI, Functional magnetic resonance imaging, Cognition, Basal ganglia and Hippocampus. Francisco X. Castellanos interconnects Functional networks and CBCL in the investigation of issues within Functional magnetic resonance imaging.
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The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism
A Di Martino;C-G Yan;Q Li;E Denio.
Molecular Psychiatry (2014)
Functional Connectivity of Human Striatum: A Resting State fMRI Study
A. Di Martino;A.P.J. Scheres;D.S. Margulies;A.M.C. Kelly.
Cerebral Cortex (2008)
Subcortical brain volume differences in participants with attention deficit hyperactivity disorder in children and adults: a cross-sectional mega-analysis
Martine Hoogman;Janita Bralten;Derrek P. Hibar;Maarten Mennes.
The Lancet Psychiatry (2017)
The NKI-Rockland Sample: A Model for Accelerating the Pace of Discovery Science in Psychiatry.
Kate Brody Nooner;Kate Brody Nooner;Stanley J. Colcombe;Russell H. Tobe;Maarten Mennes;Maarten Mennes.
Frontiers in Neuroscience (2012)
Ventral Striatal Hyporesponsiveness During Reward Anticipation in Attention-Deficit/Hyperactivity Disorder
Anouk Scheres;Michael P. Milham;Brian Knutson;Francisco Xavier Castellanos.
Biological Psychiatry (2007)
Age of Methylphenidate Treatment Initiation in Children with ADHD and Later Substance Abuse: Prospective Follow-Up into Adulthood
Salvatore Mannuzza;Rachel G. Klein;Nhan L. Truong;John L. Moulton.
American Journal of Psychiatry (2008)
A common variant of the latrophilin 3 gene, LPHN3, confers susceptibility to ADHD and predicts effectiveness of stimulant medication
Arcos-Burgos M;Jain M;Acosta Mt;Shively S.
Molecular Psychiatry (2010)
Childhood-onset schizophrenia: progressive brain changes during adolescence.
Jay N Giedd;Neal O Jeffries;Jonathan Blumenthal;F.X Castellanos.
Biological Psychiatry (1999)
Reduced default mode network functional connectivity in patients with recurrent major depressive disorder.
Chao-Gan Yan;Xiao Chen;Le Li;Francisco Xavier Castellanos.
Proceedings of the National Academy of Sciences of the United States of America (2019)
An open resource for transdiagnostic research in pediatric mental health and learning disorders
Lindsay M. Alexander;Jasmine Escalera;Lei Ai;Charissa Andreotti.
Scientific Data (2017)
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