Building better biomarkers: brain models in translational neuroimaging.
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Support Vector Machine Analysis of Functional Magnetic Resonance Imaging of Interoception Does Not Reliably Predict Individual Outcomes of Cognitive Behavioral Therapy in Panic Disorder with Agoraphobia.Advances in Neuroimaging for Neurodegenerative Disease.Cardiovascular and autonomic reactivity to psychological stress: Neurophysiological substrates and links to cardiovascular disease.Modeling Pain Using fMRI: From Regions to Biomarkers.Progress and roadblocks in the search for brain-based biomarkers of autism and attention-deficit/hyperactivity disorder.A Brain Phenotype for Stressor-Evoked Blood Pressure Reactivity.The Patient Repository for EEG Data + Computational Tools (PRED+CT).[Big data approaches in psychiatry: examples in depression research].The central extended amygdala in fear and anxiety: Closing the gap between mechanistic and neuroimaging research.The relation between statistical power and inference in fMRI.Empathic Care and Distress: Predictive Brain Markers and Dissociable Brain Systems.Ethical and Legal Implications of the Methodological Crisis in Neuroimaging.A Shared Vision for Machine Learning in Neuroscience.Connectome-based Models Predict Separable Components of Attention in Novel Individuals.Lost in translation: how to upgrade fear memory research.Imaging structural and functional brain development in early childhood.Prediction complements explanation in understanding the developing brain.Getting Serious about Variation: Lessons for Clinical Neuroscience (A Commentary on 'The Myth of Optimality in Clinical Neuroscience').Resting-State Functional Connectivity Predicts Cognitive Impairment Related to Alzheimer's Disease.Roadmap for optimizing the clinical utility of emotional stress paradigms in human neuroimaging research.Feeling How Old I Am: Subjective Age Is Associated With Estimated Brain Age.Neuromarkers for Mental Disorders: Harnessing Population Neuroscience.Lost in translationUsing fMRI and machine learning to predict symptom improvement following cognitive behavioural therapy for psychosisAssociations between polygenic risk scores for four psychiatric illnesses and brain structure using multivariate pattern recognitionA Tangible Educative 3D Printed Atlas of the Rat BrainExtracting orthogonal subject- and condition-specific signatures from fMRI data using whole-brain effective connectivityMultimodal neuromarkers in schizophrenia via cognition-guided MRI fusionMultimodal canonical correlation reveals converging neural circuitry across trauma-related disorders of affect and cognition
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P2860
Building better biomarkers: brain models in translational neuroimaging.
description
2017 nî lūn-bûn
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2017年の論文
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2017年学术文章
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2017年学术文章
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2017年学术文章
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2017年学术文章
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2017年學術文章
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2017年學術文章
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name
Building better biomarkers: brain models in translational neuroimaging.
@en
type
label
Building better biomarkers: brain models in translational neuroimaging.
@en
prefLabel
Building better biomarkers: brain models in translational neuroimaging.
@en
P2860
P50
P921
P356
P1433
P1476
Building better biomarkers: brain models in translational neuroimaging.
@en
P2093
Martin A Lindquist
Tor D Wager
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P2888
P304
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10.1038/NN.4478
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P577
2017-02-01T00:00:00Z