HNN Methods Paper

  • ***Neymotin SA, Daniels DS, Caldwell B, McDougal RA, Carnevale NT, Jas M, et al. Human Neocortical Neurosolver (HNN): A new software tool for interpreting the cellular and network origin of human MEG/EEG data. BioRxiv 2019:740597. https://doi.org/10.1101/740597.


Evoked Responses

  • *** Sliva DD, Black CJ, Bowary P. Agrawal U, Santoyo JF, Philip N, Greenberg, BD, Moore CI, Jones SR (2018) A prospective study of the impact of transcranial alternating current stimulation on EEG correlates of somatosensory perception, Front. Psych. Nov 20;9:2117. doi: 10.3389/fpsyg.2018.02117
  • Pinotsis DA, Geerts JP, Pinto L, FitzGerald T, Litvak V, Auksztulewicz R, Friston, KJ. (2017). Linking canonical microcircuits and neuronal activity: Dynamic causal modelling of laminar recordings. NeuroImage, 146, 355–366. doi:10.1016/j.neuroimage.2016.11.041
  • Ziegler DA, Pritchett DL, Hosseini-V. P, Corkin S, Hamalainen MS, Moore CI, Jones SR. (2010) Transformations in oscillatory activity and evoked responses in primary somatosensory cortex in middle age: A combined comput. neur. modeling & MEG study. Neuroimage; 52(3):897:912.
  • Jones SR, Pritchett DL, Stufflebeam SM, Sikora M, Hamalainen MS, Moore CI. (2009) Quantitative analysis and biophysically-realistic modeling of the MEG mu rhythm: rhythmogenesis and modulation of sensory evoked responses. J. of Neurophys; 102(6):3554-72.
  • Jones SR, Pritchett DL, Stufflebeam SM, Hamalainen, M, Moore CI. (2007) Neural correlates of tactile detection: A combined MEG and biophysically based computational modeling study. Journal of Neurosci.; 27(40):10751-10764.


Brain Rhythms

  • Pinotsis DA, Geerts JP, Pinto L, FitzGerald T, Litvak V, Auksztulewicz R, Friston, KJ. (2017). Linking canonical microcircuits and neuronal activity: Dynamic causal modelling of laminar recordings. NeuroImage, 146, 355–366. doi:10.1016/j.neuroimage.2016.11.041
  • Sherman M, Lee S, Law R, Haegens S, Thorn C, Hamalainen M, Moore CI, Jones SR. (2016) Neural mechanisms of transient neocortical beta rhythms: Converging evidence from humans, computational modeling, monkeys, and mice. Proc. Natl. Acad. Sci.; 113(33):E4885-94
  • Lee S and Jones SR. (2013) Distinguishing mechanisms of gamma frequency oscillations in human current source signals using a computational model of a laminar neocortical network. Frontiers in Human Neurosci.; Dec 18; 867:869
  • Ziegler DA, Pritchett DL, Hosseini-V. P, Corkin S, Hamalainen MS, Moore CI, Jones SR. (2010) Transformations in oscillatory activity and evoked responses in primary somatosensory cortex in middle age: A combined comput. neur. modeling & MEG study. Neuroimage; 52(3):897:912.
  • Jones SR, Pritchett DL, Stufflebeam SM, Sikora M, Hamalainen MS, Moore CI. (2009) Quantitative analysis and biophysically-realistic modeling of the MEG mu rhythm: rhythmogenesis and modulation of sensory evoked responses. J. of Neurophys; 102(6):3554-72.


Clinical Applications

  • Khan S, Michmizos K, Tommerdahl M, Ganesan S, Kitzbichler MG, Zetino M, Kenet T. (2015). Somatosensory cortex functional connectivity abnormalities in autism show opposite trends, depending on direction and spatial scale. Brain : a journal of neurology, 138(Pt 5), 1394–1409. doi:10.1093/brain/awv043


Non-Invasive Brain Stimulation

  • *** Sliva DD, Black CJ, Bowary P. Agrawal U, Santoyo JF, Philip N, Greenberg, BD, Moore CI, Jones SR (2018) A prospective study of the impact of transcranial alternating current stimulation on EEG correlates of somatosensory perception, Front. Psych. Nov 20;9:2117. doi: 10.3389/fpsyg.2018.02117
*** Indicates that the HNN GUI was used in the publication. All other publications use HNN's neural model prior to the development of the GUI