Selected Papers

Stress, learning, and development

Early-Life Experiences: Enduring Behavioral, Neurological, and Endocrinological Consequences.
       Russell D. Romeo, Akaysha C. Tang, Regina M. Sullivan
       In Hormones, Brain and Behavior, 3rd edition, Vol 5. Oxford: Academic Press; 2017. pp. 133–158.
Enhancing offspring hypothalamic-pituitary-adrenal (HPA) regulation via systematic novelty exposure: the influence of maternal HPA function. 
       Sarah M. Dinces, Russell D. Romeo, Bruce S. McEwen, Akaysha C. Tang
       Frontiers in Behavioral Neuroscience. 2014 Jun 5;8:204
On the causes of early life experience effects: evaluating the role of mom.
       Akaysha C. Tang, Bethany C. Reeb-Sutherland, Russell D. Romeo, Bruce S. McEwen
       Frontiers in Neuroendocrinology. 2014 Apr;35(2):245-51
Reducing behavioral inhibition to novelty via systematic neonatal novelty exposure: the influence of maternal hypothalamic-pituitary-adrenal regulation. 
       Akaysha C. Tang, Bethany C. Reeb-Sutherland, Russell D. Romeo, Bruce S. McEwen
       Biological Psychiatry. 2012 Jul 15;72(2):150-6.
Maternal modulation of novelty effects on physical development.
       Akaysha C. Tang, Zhen Yang, Bethany C. Reeb-Sutherland, Russell D. Romeo, Bruce S. McEwen
       Proceedings of the National Academy of Sciences 109.6 (2012): 2120-2125.
Neonatal novelty-induced persistent enhancement in offspring spatial memory and the modulatory role of maternal self-stress regulation
       Akaysha C. Tang, Bethany C. Reeb-Sutherland, Zhen Yang, Russell D. Romeo, Bruce S. McEwen
       Journal of Neuroscience. 2011 Apr 6;31(14):5348-52

 

Human EEG source imaging

Synchronized network activity as the origin of a P300 component in a facial attractiveness judgment task.
       Yuan Zhang, Akaysha C. Tang, Xiaolin Zhou
       Psychophysiology. 2014 Mar;51(3):285-9.
Capturing “Trial-to-Trial” Variations in Human Brain Activity: from Laboratory to Real World.
       Akaysha C. Tang, Matthew T. Sutherland, Zhen Yang
       In The dynamic brain: An exploration of neuronal variability and its functional significance. Oxford University Press (2011)
EEG source analysis: Classifying Single-Trial ERPs from Visual and Frontal Cortex during Free Viewing.
       Akaysha C. Tang, Matthew T. Sutherland, Christopher J. McKinney, Jing-Yu Liu, Yan Wang, Lucas C. Parra, Adam D. Gerson, Paul Sajda
       In Neural Networks, 2006. IJCNN’06. International Joint Conference on (pp. 1376-1383). IEEE.
EEG source analysis: Contrasting single-trial ERPs between experimental manipulations: Improving differentiability by blind source separation. 
       Akaysha C. Tang, Matthew T. Sutherland, Yan Wang
       NeuroImage, 2006, 29(1): 335-346.
Recovery of correlated neuronal sources from EEG: the good and bad ways of using SOBI.
       Akaysha C. Tang, Jingyu Liu, Matthew T. Sutherland
       Neuroimage. 2005 Nov 1;28(2):507-19

 

Single-trial ERP Analysis  

  Guang Ouyang, Andrea Hildebrandt, Werner Sommer, Changsong Zhou
       Neuroscience and Biobehavioral Reviews 75 (2017) 1–21
Reconstructing ERP amplitude effects after compensating for trial-to-trial latency jitter: a solution based on a novel application of residue iteration decomposition
  Guang Ouyang, Werner Sommer, Changsong Zhou
  International Journal of Psychophysiology 109 (2016) 9–20
Articulation artifacts during overt language production in event-related brain potentials: Description and correction
  Guang Ouyang, Werner Sommer, Changsong Zhou, Sabrina Aristei, Thomas Pinkpank, Rasha Abdel Rahman
        Brain Topogr (2016) 29:791–813
Residue iteration decomposition (RIDE): A new method to separate ERP components on the basis of latency variability in single trials
        GUANG OUYANG, GRIT HERZMANN, CHANGSONG ZHOU, WERNER SOMMER
  Psychophysiology, 48 (2011), 1631–1647

 

EEG-based Brain-Computer Interface

Changes in Electroencephalography Complexity using a Brain Computer Interface-Motor Observation Training in Chronic Stroke Patients: A Fuzzy Approximate Entropy Analysis
  Rui Sun, Wan-wa Wong, Jing Wang, Raymond Kai-yu Tong
  Frontiers in human neuroscience. , 2017, Vol.11, p.444
Complexity Analysis of EMG Signals for Patients After Stroke During Robot-Aided Rehabilitation Training Using Fuzzy Approximate Entropy
  Rui Sun, Rong Song, Kai-yu Tong
  IEEE Transactions on Neural Systems and Rehabilitation Engineering. , 2014, Volume: 22, p. 1013 – 1019