Resting state networks distinguish human ventral tegmental area from substantia nigra. - Wikidata - wikimedia - TriplyDB

Resting state networks distinguish human ventral tegmental area from substantia nigra.

Resting state networks distinguish human ventral tegmental area from substantia nigra.

http://www.wikidata.org/entity/Q35209240

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Functional connectivity with distinct neural networks tracks fluctuations in gain/loss framing susceptibility.Using fMRI to study reward processing in humans: past, present, and future.The impact of common dopamine D2 receptor gene polymorphisms on D2/3 receptor availability: C957T as a key determinant in putamen and ventral striatum.Synchrony between sensory and cognitive networks is associated with subclinical variation in autistic traits The simple act of choosing influences declarative memory Oxytocin increases VTA activation to infant and sexual stimuli in nulliparous and postpartum women Distinct Reward Properties are Encoded via Corticostriatal Interactions.Dopamine regulates stimulus generalization in the human hippocampus Human mesostriatal response tracks motivational tendencies under naturalistic goal conflict Cognitive Neurostimulation: Learning to Volitionally Sustain Ventral Tegmental Area Activation The neural basis of improved cognitive performance by threat of shock.Selectivity in Postencoding Connectivity with High-Level Visual Cortex Is Associated with Reward-Motivated Memory.The Effects of Age, from Young to Middle Adulthood, and Gender on Resting State Functional Connectivity of the Dopaminergic Midbrain.Axonal damage and loss of connectivity in nigrostriatal and mesolimbic dopamine pathways in early Parkinson's disease.Dopamine signals and physiological origin of cognitive dysfunction in Parkinson's disease.Multimodal connectivity-based parcellation reveals a shell-core dichotomy of the human nucleus accumbens.Neural mechanisms underlying the reward-related enhancement of motivation when remembering episodic memories with high difficulty.Resting-state functional connectivity of the human habenula in healthy individuals: Associations with subclinical depression Hippocampus and Prefrontal Cortex Predict Distinct Timescales of Activation in the Human Ventral Tegmental Area.Resting-State Functional Connectivity of the Locus Coeruleus in Humans: In Comparison with the Ventral Tegmental Area/Substantia Nigra Pars Compacta and the Effects of Age.Asymmetry in functional connectivity of the human habenula revealed by high-resolution cardiac-gated resting state imaging.Dynamic modulation of decision biases by brainstem arousal systems.The Effects of Pharmacological Opioid Blockade on Neural Measures of Drug Cue-Reactivity in Humans.Human substantia nigra and ventral tegmental area involvement in computing social error signals during the ultimatum game.Human brain imaging of nicotinic acetylcholine α4β2* receptors using [18 F]Nifene: Selectivity, functional activity, toxicity, aging effects, gender effects, and extrathalamic pathways.Locus coeruleus activity strengthens prioritized memories under arousal.Speed-related activation in the mesolimbic dopamine system during the observation of driver-view videos.Shifted dynamic interactions between subcortical nuclei and inferior frontal gyri during response preparation in persistent developmental stuttering.Structural connectivity differences in motor network between tremor-dominant and nontremor Parkinson's disease.Mere Exposure: Preference Change for Novel Drinks Reflected in Human Ventral Tegmental Area.Impaired reward prediction error encoding and striatal-midbrain connectivity in depression.Identity prediction errors in the human midbrain update reward-identity expectations in the orbitofrontal cortex.Evaluation of fronto-striatal networks during cognitive control in unmedicated patients with schizophrenia and the effect of antipsychotic medication.Abnormal reward prediction-error signalling in antipsychotic naive individuals with first-episode psychosis or clinical risk for psychosis.Memory Recall for High Reward Value Items Correlates With Individual Differences in White Matter Pathways Associated With Reward Processing and Fronto-Temporal Communication.Valuation of knowledge and ignorance in mesolimbic reward circuitry Brain responses to different types of salience in antipsychotic naïve first episode psychosis: An fMRI study Appreciation of different styles of humor: An fMRI study Anatomical Templates of the Midbrain Ventral Tegmental Area and Substantia Nigra for Asian Populations

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P2860

Resting state networks distinguish human ventral tegmental area from substantia nigra.

http://www.wikidata.org/entity/Q35209240

description

2014 nî lūn-bûn

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2014 թուականի Յունիսին հրատարակուած գիտական յօդուած

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2014 թվականի հունիսին հրատարակված գիտական հոդված

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2014年の論文

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2014年論文

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2014年論文

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2014年論文

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2014年论文

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Resting state networks distinguish human ventral tegmental area from substantia nigra.

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Resting state networks distinguish human ventral tegmental area from substantia nigra.

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Resting state networks distinguish human ventral tegmental area from substantia nigra.

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Resting state networks distinguish human ventral tegmental area from substantia nigra.

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prefLabel

Resting state networks distinguish human ventral tegmental area from substantia nigra.

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Resting state networks distinguish human ventral tegmental area from substantia nigra.

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J.NEUROIMAGE.2014.06.047

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Resting state networks distinguish human ventral tegmental area from substantia nigra.

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Maheen Shermohammed

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R Alison Adcock

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R McKell Carter

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Scott A Huettel

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Vishnu P Murty

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P2860

Dopamine in motivational control: rewarding, aversive, and alerting

Dopamine neuron systems in the brain: an update

Dissecting components of reward: 'liking', 'wanting', and learning.

Correspondence of the brain's functional architecture during activation and rest

Computational psychiatry

Two types of dopamine neuron distinctly convey positive and negative motivational signals

The role of the basal ganglia in learning and memory: insight from Parkinson's disease

Advances in functional and structural MR image analysis and implementation as FSL

Improved optimization for the robust and accurate linear registration and motion correction of brain images

Investigations into resting-state connectivity using independent component analysis

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580-589

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scholarly article

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10.1016/J.NEUROIMAGE.2014.06.047

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100

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24979343

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substantia nigra

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4370842

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