PS. I should add that before you get carried away with the recent 'advice' by Nieuwenhuis et al. (2011, Nature Neuroscience) consult VIckers and Altman (2001)!
********************************************************************
Philip Quinlan E-Mail: ptq1(a)york.ac.uk
Department of Psychology FAX: (01904) 323181
The University of York Tel: (01904) 320000 Ext. 3135
Heslington Direct : (01904) 323135
York
YO10 5DD
U.K.
********************************************************************
Hi,
Just a final reminder that tomorrow morning starting at around 9am, the
YNiC desktop, cluster and remote desktop systems will be undergoing
upgrade work. We expect this to be complete by lunchtime, with the
exception of the remote desktop service which may be out of action until
next week.
Thanks,
Mark
--
Mark Hymers
York Neuroimaging Centre
FYI
------------------
We are recruiting MSc and PhD students for a funded MEG study looking at
neuronal connectivity and stroke recovery. Students will have the
opportunity to undergo research through the Depts of Kinesiology or
Psychology/Neuroscience at Dalhousie University in Halifax, Nova Scotia,
Canada.
This research project will capitalize on the spatiotemporal resolution
of MEG to examine changes in connectivity within the sensorimotor
network of individuals post-stroke. Specifically, the goal of this
research is to ‘pave the road to post-stroke rehabilitation’.
Identifying the ‘normal’ sensorimotor network and establishing the
relationship between network re-organization and functional recovery
will permit the development and implementation of treatments to direct
brain recovery. With regard to the proposed research project, and in
groups of non-disabled controls and patients post-stroke, our objectives
include:
1. To establish the connectivity pattern of the ‘normal’ sensorimotor
network and demonstrate the ability to detect changes within the network
using an established motor learning paradigm
2. Using clinical measures of upper limb function, we will establish the
relationship between the pattern of sensorimotor network connectivity
and functional recovery in well and poorly recovered patients
You can find more information at: http://myweb.dal.ca/sh539856/
If interested, please e-mail Dr. Shaun Boe (s.boe(a)dal.ca
<mailto:s.boe@dal.ca>) or Dr. Tim Bardouille (tim.bardouille(a)nrc.ca
<mailto:tim.bardouille@nrc.ca>).
Best,
Tim Bardouille.
---------------------------------------------------------
Timothy Bardouille, PhD, Research Officer
Laboratory for Clinical MEG
NRC Institute for Biodiagnostics (Atlantic)
Office: Halifax Infirmary
3900 - 1796 Summer Street
Halifax, Nova Scotia B3H 3A7
Phone: 902-473-1865
Lab: 902-470-3936
Fax: 902-473-1851
---------------------------------------------------------
FYI
These changes may be important if you are using EEGLAB for multiple
subject analyses
Gary
-------- Original Message --------
Subject: [Eeglabnews] EEGLAB 10.2.5.5 now available - critical upgrade
Date: Tue, 13 Sep 2011 09:43:48 +0200
From: Arnaud Delorme <arno(a)ucsd.edu>
To: eeglabnews(a)sccn.ucsd.edu
Dear EEGLAB users,
New EEGLAB version 10.2.5.5 is now available. This is a critical update
if you are using EEGLAB STUDY sets to process multiple subjects. This
version fixes 3 important problems:
- Plotting ERP and power spectral scalp topographies (a problem that
appeared in EEGLAB 10.2.2.4 two months ago). You will not need to
recompute anything.
- Plotting ERSP data (for independent component clusters and channels)
when a common baseline is being subtracted from the data (not the
default option). You will not need to recompute anything.
- Correctly computing component cluster ERSPs when independent
components were selected using a residual variance threshold. Simply
download the latest version of EEGLAB 10; upon opening a STUDY, a
warning message will appear if you need to recompute ERSPs.
EEGLAB 9.0.8.6 has also been updated. The list of all recent changes are
available at:
http://sccn.ucsd.edu/wiki/EEGLAB_revision_history
We are constantly working on new test scripts to attempt to validate
outputs for complex STUDY structures. Whenever you encounter a problem,
please submit a bug report at http://sccn.ucsd.edu/eeglab/bugzilla.
<http://sccn.ucsd.edu/eeglab/bugzilla>
Thank you for using EEGLAB,
A. Delorme
I have two related but different tasks - task A and task B.
I find that when you do task A regions x, y, z light up and when you do task B regions x, y, z, and w light up.
As we all know all regions of the brain light up to varying degrees regardless what's going on but what I want to be able to demonstrate is that w really is a region unique to task B.
I should add the data for tasks A and B were collected under different conditions so no simple 'contrast' is possible.
Any help gratefully received.
Philip.
********************************************************************
Philip Quinlan E-Mail: ptq1(a)york.ac.uk
Department of Psychology FAX: (01904) 323181
The University of York Tel: (01904) 320000 Ext. 3135
Heslington Direct : (01904) 323135
York
YO10 5DD
U.K.
********************************************************************
Hi,
On Friday 23rd September, we'll be upgrading the YNiC desktops and
cluster machines to a new software release. The main changes are:
* FSL 3.3 will no longer be available
* FSL 4.1.4 will be upgraded to FSL 4.1.8
* The default Matlab version will move to 7.12
* python2.5 will move to python2.6 (2.5 will still be available but some
modules may be missing)
Unsupported software changes:
* afni will be updated from 20101222 -> 20110610
* freesurfer 4.5 will no longer be available; 5.1 will be available
instead (although possibly not immediately, we'll announce this at the
time)
This means that on the morning of Friday 23rd, there will be some
disruption at YNiC and the remote desktop service will be unavailable.
It is possible that the remote desktop service will remain unavailable
for a couple of days after the migration in order to give us extra time
to migrate it, although we are aiming to avoid this.
Thanks,
Mark
--
Mark Hymers
York Neuroimaging Centre
FYI
Research assistant, Pittsburgh, Pennsylvania, USA
________________________________________
Employment Type: Full-time 24-month appointment as a Research Assistant
Institution: Department of Neurological Surgery, University of
Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
Available: September 1, 2011
Job description:
A research assistant position is available with the UPMC MEG Brain
Mapping Center (http://www.meg-brain-mapping.pitt.edu/index.html) at the
University of Pittsburgh Medical Center in Pittsburgh, PA. The research
will consist of using MEG to study the temporal dynamics of how brain
regions interact, both in spontaneously (when people are at rest) and in
the service of visual processing.
Candidates will be expected to:
• Analyze MEG data using advanced mathematical and computational
methods some of which have been developed in house primarily using
MATLAB
• Assist in data collection from healthy volunteers and clinical
groups
• Assist in the preparation of manuscripts
• Work independently and liaise between collaborating laboratories
Qualifications:
• Undergraduate or Masters degree in Psychology, Neuroscience,
Mathematics, Physics, Computer Science, Mathematics, Engineering or
related field
• Strong organizational skills
• Previous experience in computer programming (MATLAB experience
preferred)
• Previous experience in image/signal processing would be highly
advantageous
• Prior experience in neuroimaging data analysis would be a plus
• Prior experience in working with clinical groups would be a plus
Salary: Commensurate with Experience
How to Apply: If interested, please send a CV, cover letter, and names
of references to Dr. Avniel Ghuman, Department of Neurological Surgery,
University of Pittsburgh Medical Center at ghumana(a)cnbc.cmu.edu.
Applications will be considered until the position is filled.
--
Gary Green
