ERP-Lab 台大醫院精神部 神經生理研究室

ERP, MMN, P50, schizophrenia, prodrome, MEG

Archive for the ‘實作第一線’


Steve Luck研究團隊長期致力於ERP研究,ERPLAB的旗艦文獻終於登場了the following paper describing the design and features of ERPLAB:

Lopez-Calderon, J., & Luck, S. J. (2014). ERPLAB: An open-source toolbox for the analysis of event-related potentials. Frontiers in Human Neuroscience, 8, 213. doi: 10.3389/fnhum.2014.00213

ERPLAB Toolbox, which plugs into EEGLAB



 ERPLAB Processing Steps

Steve Luck 關於到底要不要用average reference的高見

到底要不要用average reference? 以下是Steve Luck的寶貴建議

As discussed in chapter 3 of my book on ERP methods (An Introduction to the Event-Related Potential Technique), there is no such thing as a perfect reference.  You are always looking at the potential (difference) between one site and another site (or set of sites).  The reference site (or sites) will have a substantial effect on the waveforms.  The only exception to this is when you use the average of the entire head as the reference (because the average across the entire head necessarily sums to zero).  You can approximate this with very large sets of electrodes (see Dien, 1998), but most people who use the average of all electrodes do not cover enough of the head to achieve a very good approximation.  Transforming to current source density is another good approach, but it also requires a large set of electrodes to work well. (繼續閱讀…)



  1. 所有與.TCL .LDR .ASC有關聯性之行號





(2)EEGLAB處理流程2[52:16] (繼續閱讀…)

Granger Causal Connectivity的MATLAB Toolbox

英國University of Sussex的Anil K. Seth所建立之Granger Causal Connectivity Analysis:  A MATLAB Toolbox

Time-domain G-causality 6

Frequency-domain G-causality 9 (繼續閱讀…)

Group analysis for ERP amplitude and latency

[image not found]how to do multiple-participant statistics on data in a STUDY structure?

Computing statistics is essential to observation of group, session, and/or condition measure differences. EEGLAB allows users to use either parametric or non-parametric statistics to compute and estimate the reliability of these differences across conditions and/or groups. The same methods for statistical comparison apply both to component clusters and to groups of data channels.

Chapter 06: Study Statistics and Visualization Options


UCSF的Daniel H. Mathalon與Veronica B. Perez研究團隊

  1. Automatic Auditory Processing Deficits in Schizophrenia and Clinical High-Risk Patients: Forecasting Psychosis Risk with Mismatch Negativity.Perez VB, Woods SW, Roach BJ, Ford JM, McGlashan TH, Srihari VH, Mathalon DH. Biol Psychiatry. 2013 Sep 16. doi:pii: S0006-3223(13)00730-0. 10.1016/  PMID:24050720    Related citations
  2. Visual information processing dysfunction across the developmental course of early psychosis.Perez VB, Shafer KM, Cadenhead KS. Psychol Med. 2012 Oct;42(10):2167-79. Related citations
  3. Neurophysiology of a possible fundamental deficit in schizophrenia.Ford JM, Perez VB, Mathalon DH.World Psychiatry. 2012 Feb;11(1):58-60. Free PMC Article Related citations
  4. Error-related negativity in individuals with obsessive-compulsive symptoms: toward an understanding of hoarding behaviors. Mathews CA, Perez VB, Delucchi KL, Mathalon DH. Biol Psychol. 2012 Feb;89(2):487-94. Free PMC Article Related citations (繼續閱讀…)

用Neuroscan Edit分析Go-NoGo paradigm

如果實驗程式是用 STIM 寫的話
Neuroscan Edit分析的過程中跑到 sorting 的時候直接勾選 “correct response”
這樣就只會把正確反應的 trial 留下來

Letters stimuli (2.5 × 2.5 cm), substanding 3.5° of visualangle, were sequentially presented at the center ina pseudo-randomized order. The letters were black andthe screen on a grey background. All stimuli were createdand presented using the eevoke™ version Software®). The whole stimulus set consisted of320 letters as follow: 80 (25%) primer conditions ‘O’with 40 (12.5%) Go (O followed by W) and 40 (12.5%)Nogo (O followed by any other letter), and 160 (50%)distracters (other letters, or letter W without a precedingO). Thus, probability ratios of the Go vs. Nogo conditionswere kept equal. The letters were presented for200 ms, separated by an interval of 1650 ms. And itlasted about 10 min.

Tcl (Tool Command Language)for Gamma與其後處理

何謂Tcl?  Wikipedia上的說明

auditory Gamma的NeuroscanTCL分析程序

  1. (proc ORTIZ)確認每一個不同刺激之總數 (繼續閱讀…)

Tcl (Tool Command Language)for MMN2與其後處理

何謂Tcl?  Wikipedia上的說明

auditory MMN2的NeuroscanTCL分析程序(在步驟5之前都跟傳統MMN分析之TCL一樣,步驟6開始有差)

  1. (proc ORTIZ)確認每一個不同刺激之總數
  2. 輸入檔案名與分組
  3. proc FIXBLINKS:
    1. FILTER high pass  [1Hz, 24dB] CNT檔案(以供下一步)
    2. ARTCOR – Ocular artifact correction (繼續閱讀…)

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