Narayanan lab protocols: 
 

Narayanan Lab Datasets

1. Generation and validation of a D1 dopamine receptor Flpo knock-in mouse Paper Data
2. Resting-state EEG measures cognitive impairment in Parkinson's disease Paper Data
3. Salience network and cognitive impairment in Parkinson's disease Paper Data
4. Complementary cognitive roles for D2-MSNs and D1-MSNs in interval timing Paper Data
5. Evoked mid-frontal activity predicts cognitive dysfunction in Parkinson’s disease Paper OpenNeuro: Simon/Oddball/Timing Processed Data
6. A Pilot Study of Ex Vivo Human Prefrontal RNA Transcriptomics in Parkinson's Disease Paper Dataset GEO
7. Mice expressing A53T / A30P mutant alpha-synuclein in dopamine neurons do not display behavioral deficits Paper Data
8. Sex similarities and dopaminergic differences in interval timing Paper Data
9. Glycolysis-enhancing α1-adrenergic antagonists modify cognitive symptoms related to Parkinson’s disease Paper Code/Data
10. Phase-adaptive brain stimulation of striatal D1 medium spiny neurons in dopamine-depleted mice Paper Code/Data
11. Resting-state EEG distinguishes depression in Parkinson's disease Paper Code/Data
12. Mice expressing P301S mutant human tau have deficits in interval timing Paper Code/Data
13. Phase-adaptive Brain Stimulation of Striatal D1 Medium Spiny Neurons Paper Code/Data
14. Quantifying the inverted U: A meta-analysis of prefrontal dopamine, D1-receptors, and working memory Paper Free Version Code/Data
15. COVID-19 Case Fatality and Alzheimer's Disease Paper Code/Data
16. Novelty-induced frontal-STN networks in Parkinson’s disease Paper Code/Data (350+GB!)
17. Cortical alpha-synuclein preformed fibrils do not affect interval timing in mice Paper Code/Data
18. Experience-related remapping of temporal encoding by striatal ensembles Paper Code/Data
19. Timing variability and midfrontal ~4 Hz rhythms correlate with cognition in Parkinson’s disease Paper   Code + Dataset
20. COVID-19 case fatality and Parkinson's disease Paper Code/Dataset
21. Temporal learning among prefrontal and striatal ensembles Paper Code/Dataset
22. Linear predictive coding distinguishes spectral EEG features of Parkinson's disease Paper Code/Dataset
23. Linear Predictive Approaches Separate Field Potentials in Animal Model of Parkinson's Disease. Paper Code/Dataset
24. Frontal Theta and Beta Oscillations During Lower-Limb Movement in Parkinson's Disease (Singh et al., 2020) Paper Code/Dataset
25. Enhancing glycolysis attenuates Parkinson’s disease progression in models and clinical databases (Cai et al., 2019) Paper Code
26. Corticostriatal stimulation compensates for medial frontal inactivation during interval timing (Emmons et al., 2019) Paper  Code/Dataset
27. Scopolamine and medial frontal stimulus-processing during interval timing (Zhang et al.,2019): Paper  Code/Dataset
28. Striatal dopamine and the temporal control of behavior (De Corte et al., 2018):  Paper  Code/Dataset
29. A human prefrontal-subthalamic circuit for cognitive control. (Kelley/Flouty et a., 2018): Paper  Code/Dataset
30. Mid-frontal theta activity is diminished during cognitive control in Parkinson's disease (Singh et al., / Cavanagh Lab 2018).  Paper   Code/Dataset
31. Prefrontal D1 Dopamine-Receptor Neurons and Delta Resonance in Interval Timing (Kim / Narayanan 2018): Paper  Code/Dataset
32. Rodent Medial Frontal Control of Temporal Processing in the Dorsomedial Striatum (Emmons et al., 2017): Paper Code/Dataset
33. Corticostriatal Field Potentials Are Modulated at Delta and Theta Frequencies during Interval-Timing Task in Rodents (Emmons et al., 2016): Paper  Code/Dataset
34. Startle Habituation and Midfrontal Theta Activity in Parkinson Disease (Chen et al., 2016): Paper  Code/Dataset
35. Infusion of D1 Dopamine Receptor Agonist into Medial Frontal Cortex Disrupts Neural Correlates of Interval Timing (Parker et al., 2015): Paper Code/Dataset
36. Methods for studying functional interactions among neuronal populations (Narayanan and Laubach 2009): Paper   Code/Dataset