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CGRP Antagonist Infused into the Bed Nucleus of the Stria Terminalis Impairs the Acquisition and Expression of Context but Not Discretely Cued Fear

Learning & memory (Cold Spring Harbor, N.Y.), 2013-12, Vol.20 (12), p.730-739

2013

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Nucleus Accumbens Adenosine A2A Receptors Regulate Exertion of Effort by Acting on the Ventral Striatopallidal Pathway

The Journal of neuroscience, 2008-09, Vol.28 (36), p.9037-9046

2008

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Cannabinoid CB1 receptor inverse agonists and neutral antagonists: Effects on food intake, food-reinforced behavior and food aversions

Physiology & behavior, 2007-07, Vol.91 (4), p.383-388

2007

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The Novel Cannabinoid CB1 Receptor Neutral Antagonist Am4113 Suppresses Food Intake and Food-Reinforced Behavior but Does not Induce Signs of Nausea in Rats

Neuropsychopharmacology (New York, N.Y.), 2008-06, Vol.33 (7), p.1776

2008

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The adenosine A2A antagonist MSX-3 reverses the effort-related effects of dopamine blockade : differential interaction with Dl and D2 family antagonists

Psychopharmacologia, 2009, Vol.203 (3), p.489-499

2009

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Cannabinoid CB sub(1) receptor inverse agonists and neutral antagonists: Effects on food intake, food-reinforced behavior and food aversions

Physiology & behavior, 2007-07, Vol.91 (4), p.383-388

2007

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Cannabinoid CB 1 receptor inverse agonists and neutral antagonists: Effects on food intake, food-reinforced behavior and food aversions

Physiology & behavior, 2007, Vol.91 (4), p.383-388

2007

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Nucleus Accumbens Adenosine A 2A Receptors Regulate Exertion of Effort by Acting on the Ventral Striatopallidal Pathway

The Journal of neuroscience, 2008-09, Vol.28 (36), p.9037-9046

2008

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CB1 inverse agonists and antagonists as obesity therapies: Effects on food motivation and emotion

Sink, Kelly Spurlock

2008

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Consequences of reprogramming acetyl-CoA metabolism by 2,3,7,8-tetrachlorodibenzo-p-dioxin in the mouse liver

Scientific reports, 2023-03, Vol.13 (1), p.4138-4138, Article 4138

2023

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Challenges and Opportunities with Causal Discovery Algorithms: Application to Alzheimer's Pathophysiology

Scientific reports, 2020-02, Vol.10 (1), p.2975-2975, Article 2975

2020

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Predicting Alzheimer's disease progression using multi-modal deep learning approach

Scientific reports, 2019-02, Vol.9 (1), p.1952, Article 1952

2019

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Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer's Disease using structural MR and FDG-PET images

Scientific reports, 2018-04, Vol.8 (1), p.5697-13, Article 5697

2018

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Modifications to the Hip Arthroscopy Technique When Performing Combined Hip Arthroscopy and Periacetabular Osteotomy

Arthroscopy techniques (Amsterdam), 2017-10, Vol.6 (5), p.e1857-e1863

2017

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Predicting Short-term MCI-to-AD Progression Using Imaging, CSF, Genetic Factors, Cognitive Resilience, and Demographics

Scientific reports, 2019-02, Vol.9 (1), p.2235-2235, Article 2235

2019

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Ferritin levels in the cerebrospinal fluid predict Alzheimer's disease outcomes and are regulated by APOE

Nature communications, 2015-05, Vol.6 (1), p.6760-6760, Article 6760

2015

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Dissociation of tau pathology and neuronal hypometabolism within the ATN framework of Alzheimer's disease

Nature communications, 2022-03, Vol.13 (1), p.1495-1495, Article 1495

2022

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Multimodal Hippocampal Subfield Grading For Alzheimer's Disease Classification

Scientific reports, 2019-09, Vol.9 (1), p.13845-13845, Article 13845

2019

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Key Challenges in Advancing an Ecosystem-Based Approach to Marine Spatial Planning Under Economic Growth Imperatives

Frontiers in Marine Science, 2019-03, Vol.6

2019

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Bayesian model reveals latent atrophy factors with dissociable cognitive trajectories in Alzheimer’s disease

Proceedings of the National Academy of Sciences - PNAS, 2016-10, Vol.113 (42), p.E6535-E6544

2016

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Anatomically interpretable deep learning of brain age captures domain-specific cognitive impairment

Proceedings of the National Academy of Sciences - PNAS, 2023-01, Vol.120 (2), p.e2214634120-e2214634120

2023

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Author Correction: Predicting Alzheimer's disease progression using multi-modal deep learning approach

Scientific reports, 2023-08, Vol.13 (1), p.12466-12466, Article 12466

2023

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A Novel Joint Brain Network Analysis Using Longitudinal Alzheimer's Disease Data

Scientific reports, 2019-12, Vol.9 (1), p.19589-18, Article 19589

2019

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Brain multiplexes reveal morphological connectional biomarkers fingerprinting late brain dementia states

Scientific reports, 2018-03, Vol.8 (1), p.4103-14, Article 4103

2018

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A telescope GWAS analysis strategy, based on SNPs-genes-pathways ensamble and on multivariate algorithms, to characterize late onset Alzheimer's disease

Scientific reports, 2020-07, Vol.10 (1), p.12063-12063, Article 12063

2020

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CGRP Antagonist Infused into the Bed Nucleus of the Stria Terminalis Impairs the Acquisition and Expression of Context but Not Discretely Cued Fear

Nucleus Accumbens Adenosine A2A Receptors Regulate Exertion of Effort by Acting on the Ventral Striatopallidal Pathway

Cannabinoid CB1 receptor inverse agonists and neutral antagonists: Effects on food intake, food-reinforced behavior and food aversions

The Novel Cannabinoid CB1 Receptor Neutral Antagonist Am4113 Suppresses Food Intake and Food-Reinforced Behavior but Does not Induce Signs of Nausea in Rats

The adenosine A2A antagonist MSX-3 reverses the effort-related effects of dopamine blockade : differential interaction with Dl and D2 family antagonists

Cannabinoid CB sub(1) receptor inverse agonists and neutral antagonists: Effects on food intake, food-reinforced behavior and food aversions

Cannabinoid CB 1 receptor inverse agonists and neutral antagonists: Effects on food intake, food-reinforced behavior and food aversions

Nucleus Accumbens Adenosine A 2A Receptors Regulate Exertion of Effort by Acting on the Ventral Striatopallidal Pathway

CB1 inverse agonists and antagonists as obesity therapies: Effects on food motivation and emotion

Consequences of reprogramming acetyl-CoA metabolism by 2,3,7,8-tetrachlorodibenzo-p-dioxin in the mouse liver

Challenges and Opportunities with Causal Discovery Algorithms: Application to Alzheimer's Pathophysiology

Predicting Alzheimer's disease progression using multi-modal deep learning approach

Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer's Disease using structural MR and FDG-PET images

Modifications to the Hip Arthroscopy Technique When Performing Combined Hip Arthroscopy and Periacetabular Osteotomy

Predicting Short-term MCI-to-AD Progression Using Imaging, CSF, Genetic Factors, Cognitive Resilience, and Demographics

Ferritin levels in the cerebrospinal fluid predict Alzheimer's disease outcomes and are regulated by APOE

Dissociation of tau pathology and neuronal hypometabolism within the ATN framework of Alzheimer's disease

Multimodal Hippocampal Subfield Grading For Alzheimer's Disease Classification

Key Challenges in Advancing an Ecosystem-Based Approach to Marine Spatial Planning Under Economic Growth Imperatives

Bayesian model reveals latent atrophy factors with dissociable cognitive trajectories in Alzheimer’s disease

Anatomically interpretable deep learning of brain age captures domain-specific cognitive impairment

Author Correction: Predicting Alzheimer's disease progression using multi-modal deep learning approach

A Novel Joint Brain Network Analysis Using Longitudinal Alzheimer's Disease Data

Brain multiplexes reveal morphological connectional biomarkers fingerprinting late brain dementia states

A telescope GWAS analysis strategy, based on SNPs-genes-pathways ensamble and on multivariate algorithms, to characterize late onset Alzheimer's disease

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