Detecting dopamine dysfunction with pharmacological MRI
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D. Stoffers | L. Reneman | A. Schrantee | B. Ferguson | Serge A.R.B. Rombouts | Jan Booij | S. Rombouts
[1] N. Volkow,et al. Neurocircuitry of Addiction , 2010, Neuropsychopharmacology.
[2] D. Byrd,et al. Reading Ability as an Estimator of Premorbid Intelligence: Does It Remain Stable Among Ethnically Diverse HIV+ Adults? , 2015, The Clinical neuropsychologist.
[3] M. Caan,et al. Dopaminergic System Dysfunction in Recreational Dexamphetamine Users , 2015, Neuropsychopharmacology.
[4] H. Möller,et al. The effects of methylphenidate on whole brain intrinsic functional connectivity , 2014, Human brain mapping.
[5] Steen Moeller,et al. ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging , 2014, NeuroImage.
[6] Scott A. Huettel,et al. Characterizing individual differences in functional connectivity using dual-regression and seed-based approaches , 2014, NeuroImage.
[7] D. Ghahremani,et al. Risky decision making, prefrontal cortex, and mesocorticolimbic functional connectivity in methamphetamine dependence. , 2014, JAMA psychiatry.
[8] Stephen M. Smith,et al. Permutation inference for the general linear model , 2014, NeuroImage.
[9] D. Denys,et al. Deep Brain Stimulation Induces Striatal Dopamine Release in Obsessive-Compulsive Disorder , 2014, Biological Psychiatry.
[10] Ludovica Griffanti,et al. Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers , 2014, NeuroImage.
[11] J. Gosden,et al. Differences in the neurochemical and behavioural profiles of lisdexamfetamine methylphenidate and modafinil revealed by simultaneous dual-probe microdialysis and locomotor activity measurements in freely-moving rats , 2014, Journal of psychopharmacology.
[12] Evan M. Gordon,et al. Working memory‐related changes in functional connectivity persist beyond task disengagement , 2014, Human brain mapping.
[13] Mary E. Meyerand,et al. The effect of scan length on the reliability of resting-state fMRI connectivity estimates , 2013, NeuroImage.
[14] Michael Angstadt,et al. Distributed effects of methylphenidate on the network structure of the resting brain: A connectomic pattern classification analysis , 2013, NeuroImage.
[15] Mark W. Woolrich,et al. Resting-state fMRI in the Human Connectome Project , 2013, NeuroImage.
[16] David M. Cole,et al. Differential and distributed effects of dopamine neuromodulations on resting-state network connectivity , 2013, NeuroImage.
[17] Vince D. Calhoun,et al. Impact of Analysis Methods on the Reproducibility and Reliability of Resting-State Networks , 2013, Brain Connect..
[18] Dardo Tomasi,et al. Effects of methylphenidate on resting-state functional connectivity of the mesocorticolimbic dopamine pathways in cocaine addiction. , 2013, JAMA psychiatry.
[19] E. Evers,et al. Methylphenidate reduces functional connectivity of nucleus accumbens in brain reward circuit , 2013, Psychopharmacology.
[20] D. Nutt,et al. Amphetamine, past and present – a pharmacological and clinical perspective , 2013, Journal of psychopharmacology.
[21] G. Shepherd. Corticostriatal connectivity and its role in disease , 2013, Nature Reviews Neuroscience.
[22] Ilya M. Veer,et al. The impact of “physiological correction” on functional connectivity analysis of pharmacological resting state fMRI , 2013, NeuroImage.
[23] Brent G. Nelson,et al. Frontal Hyperconnectivity Related to Discounting and Reversal Learning in Cocaine Subjects , 2011, Biological Psychiatry.
[24] Shanna Babalonis,et al. Comparison of the Behavioral and Cardiovascular Effects of Intranasal and Oral d‐Amphetamine in Healthy Human Subjects , 2011, Journal of clinical pharmacology.
[25] Yihong Yang,et al. Mesocorticolimbic circuits are impaired in chronic cocaine users as demonstrated by resting-state functional connectivity , 2010, NeuroImage.
[26] N. Filippini,et al. Distinct patterns of brain activity in young carriers of the APOE e4 allele , 2009, NeuroImage.
[27] N. Filippini,et al. Group comparison of resting-state FMRI data using multi-subject ICA and dual regression , 2009, NeuroImage.
[28] C. Kelly,et al. L-Dopa Modulates Functional Connectivity in Striatal Cognitive and Motor Networks: A Double-Blind Placebo-Controlled Study , 2009, NeuroImage.
[29] Stephen M. Smith,et al. Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference , 2009, NeuroImage.
[30] Kenneth Hugdahl,et al. Separating the effects of alcohol and expectancy on brain activation: An fMRI working memory study , 2008, NeuroImage.
[31] O. Monchi,et al. Dopamine Depletion Impairs Frontostriatal Functional Connectivity during a Set-Shifting Task , 2008, The Journal of Neuroscience.
[32] T. van Amelsvoort,et al. AMPT-induced monoamine depletion in humans: evaluation of two alternative [123I]IBZM SPECT procedures , 2008, European Journal of Nuclear Medicine and Molecular Imaging.
[33] Angelo Bifone,et al. Pharmacological modulation of functional connectivity: the correlation structure underlying the phMRI response to d-amphetamine modified by selective dopamine D3 receptor antagonist SB277011A. , 2007, Magnetic resonance imaging.
[34] G. Glover,et al. Dissociable Intrinsic Connectivity Networks for Salience Processing and Executive Control , 2007, The Journal of Neuroscience.
[35] Kristina M. Visscher,et al. The neural bases of momentary lapses in attention , 2006, Nature Neuroscience.
[36] Ji-Kyung Choi,et al. Brain hemodynamic changes mediated by dopamine receptors: Role of the cerebral microvasculature in dopamine-mediated neurovascular coupling , 2006, NeuroImage.
[37] U. McCann,et al. Amphetamine Treatment Similar to That Used in the Treatment of Adult Attention-Deficit/Hyperactivity Disorder Damages Dopaminergic Nerve Endings in the Striatum of Adult Nonhuman Primates , 2005, Journal of Pharmacology and Experimental Therapeutics.
[38] N. Volkow,et al. The neural basis of addiction: a pathology of motivation and choice. , 2005, The American journal of psychiatry.
[39] Mark W. Woolrich,et al. Advances in functional and structural MR image analysis and implementation as FSL , 2004, NeuroImage.
[40] Brian Knutson,et al. Amphetamine Modulates Human Incentive Processing , 2004, Neuron.
[41] Hui Zhang,et al. Heterosynaptic Dopamine Neurotransmission Selects Sets of Corticostriatal Terminals , 2004, Neuron.
[42] Stephen M. Smith,et al. Probabilistic independent component analysis for functional magnetic resonance imaging , 2004, IEEE Transactions on Medical Imaging.
[43] U. McCann,et al. Amphetamine neurotoxicity: accomplishments and remaining challenges , 2004, Neuroscience & Biobehavioral Reviews.
[44] E T Bullmore,et al. Dopaminergic drug effects on physiological connectivity in a human cortico-striato-thalamic system. , 2003, Brain : a journal of neurology.
[45] Rita Z. Goldstein,et al. Drug addiction and its underlying neurobiological basis: neuroimaging evidence for the involvement of the frontal cortex. , 2002, The American journal of psychiatry.
[46] A. Oliviero,et al. Dopamine-dependent changes in the functional connectivity between basal ganglia and cerebral cortex in humans. , 2002, Brain : a journal of neurology.
[47] Kelly A. Allers,et al. Pre- and postsynaptic aspects of dopamine-mediated transmission , 2000, Trends in Neurosciences.
[48] M Laruelle,et al. Stability of [123I]IBZM SPECT measurement of amphetamine‐induced striatal dopamine release in humans , 1999, Synapse.
[49] J. Lindeboom,et al. Reading ability as an estimator of premorbid intelligence: does it remain stable in emergent dementia? , 1998, Journal of clinical and experimental neuropsychology.
[50] J. Booij,et al. [123I]FP‐CIT binds to the dopamine transporter as assessed by biodistribution studies in rats and SPECT studies in MPTP‐lesioned monkeys , 1997, Synapse.
[51] B R Rosen,et al. Detection of dopaminergic neurotransmitter activity using pharmacologic MRI: Correlation with PET, microdialysis, and behavioral data , 1997, Magnetic resonance in medicine.
[52] S. Foote,et al. The distribution of tyrosine hydroxylase-immunoreactive fibers in primate neocortex is widespread but regionally specific , 1987, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[53] W. Phillips. The use of amphetamine. , 1954, The Practitioner.
[54] Stephen D. Mayhew,et al. Comparison of functional thalamic segmentation from seed-based analysis and ICA , 2015 .
[55] Fabio Sambataro,et al. DRD2 genotype-based variation of default mode network activity and of its relationship with striatal DAT binding. , 2013, Schizophrenia bulletin.
[56] Edward R. Simco,et al. Psychometric properties of the Drug Use Disorders Identification Test (DUDIT) with substance abusers in outpatient and residential treatment. , 2012, Addictive behaviors.
[57] J. McCracken,et al. Potential adverse effects of amphetamine treatment on brain and behavior: a review , 2010, Molecular Psychiatry.
[58] W. van den Brink,et al. Use of amphetamine by recreational users of ecstasy (MDMA) is associated with reduced striatal dopamine transporter densities: a [123I]β-CIT SPECT study – preliminary report , 2001, Psychopharmacology.
[59] D. Louis Collins,et al. Automatic 3‐D model‐based neuroanatomical segmentation , 1995 .
[60] Theodoros N. Arvanitis,et al. Comparison of Functional Thalamic Segmentation from Seed-based Analysis and Ica Comparison of Functional Thalamic Segmentation from Seed-based Analysis and Ica Comparison of Functional Thalamic Segmentation from Seed-based Analysis and Ica , 2022 .