Dear Users
Today (4-5 pm in YNiC) there will be a talk by Dr Aneurin Kennerley from
the University of Sheffield.
http://www.sheffield.ac.uk/psychology/staff/research/aneurin-kennerley
The title of Dr Kennerley's talk is "Concurrent 7T fMRI and 2-D Optical
Imaging Spectroscopy: Towards building a forward model between neuronal
activity and the BOLD signal". Please see below for the talk abstract.
Everyone is welcome to attend and refreshments will be provided after
the talk.
Best wishes
Rebecca
Abstract:
Functional magnetic resonance imaging (fMRI) has become the cornerstone
of cognitive neuroscience in recent years. The widely used Blood
Oxygenation Level Dependent (BOLD) signal is often used to interpret
changes in neuronal activation. However, at present, a biophysical
understanding of the neurovascular drivers of the BOLD signal is not
clear and thus hinders any quantitative estimation of the underlying
neuronal activity.
Neuroimaging research at the University of Sheffield drives towards
building a forward biophysical model of this complex relationship. As
part of this multidisciplinary group my research is aimed at developing
a general model of the BOLD signal which can model both intra- and
extra- vascular MR signals, across a wide range of imaging parameters,
from estimates of the haemodynamic changes.
Validation and refinement of the haemodynamic response models underlying
fMRI signals, an essential precondition for the correct interpretation
of human BOLD data requires invasive multimodal animal imaging. I have
developed an innovative in-vivo methodology for concurrent fMRI and 2D
optical imaging spectroscopy (2D-OIS) techniques for simultaneous
measurement of BOLD signal and underlying haemoglobin changes to
neuronal activation in the healthy rodent model.
Applications of this technology include: 1) Understanding of the
negative BOLD signal (Boorman et al 2010). Most researchers assume a
negative BOLD to be a result of either neuronal inhibition or vascular
steal. It is only with the simultaneous, independent measurement of
haemoglobin changes (with 2D-OIS) that one could disassociate any
possible physiological relationships; 2) Refinement of mathematical and
biophysical models of both the BOLD signal and optical imaging
spectroscopy techniques (Kennerley et.al. 2009); 3) Calibration of
non-BOLD fMRI techniques such as VASO and ASL; 4) Interpretation of
abnormal BOLD responses; specifically in disease and trauma conditions
in which either neuronal or haemodynamic breakdown could be responsible.
[1] Boorman, L.W. et.al. (2010) /Journal of Neuroscience/. /30(12):
4285-94;/ [2] Kennerley, A.J. et.al (2009) /NeuroImage 47:1608-1619/;
--
************************************************************************
Dr. Rebecca E. Millman
Science Liaison Officer
York Neuroimaging Centre
The Biocentre
York Science Park
Heslington
YO10 5DG
Tel: +44 (0) 1904 567614
Fax: +44 (0) 1904 435356
Dear Users
This Thursday (4-5 pm in YNiC) there will be a talk by Dr Aneurin
Kennerley from the University of Sheffield.
http://www.sheffield.ac.uk/psychology/staff/research/aneurin-kennerley
The title of Dr Kennerley's talk is "Concurrent 7T fMRI and 2-D Optical
Imaging Spectroscopy: Towards building a forward model between neuronal
activity and the BOLD signal". Please see below for the talk abstract.
Everyone is welcome to attend and refreshments will be provided after
the talk.
Best wishes
Rebecca
Abstract:
Functional magnetic resonance imaging (fMRI) has become the cornerstone
of cognitive neuroscience in recent years. The widely used Blood
Oxygenation Level Dependent (BOLD) signal is often used to interpret
changes in neuronal activation. However, at present, a biophysical
understanding of the neurovascular drivers of the BOLD signal is not
clear and thus hinders any quantitative estimation of the underlying
neuronal activity.
Neuroimaging research at the University of Sheffield drives towards
building a forward biophysical model of this complex relationship. As
part of this multidisciplinary group my research is aimed at developing
a general model of the BOLD signal which can model both intra- and
extra- vascular MR signals, across a wide range of imaging parameters,
from estimates of the haemodynamic changes.
Validation and refinement of the haemodynamic response models underlying
fMRI signals, an essential precondition for the correct interpretation
of human BOLD data requires invasive multimodal animal imaging. I have
developed an innovative in-vivo methodology for concurrent fMRI and 2D
optical imaging spectroscopy (2D-OIS) techniques for simultaneous
measurement of BOLD signal and underlying haemoglobin changes to
neuronal activation in the healthy rodent model.
Applications of this technology include: 1) Understanding of the
negative BOLD signal (Boorman et al 2010). Most researchers assume a
negative BOLD to be a result of either neuronal inhibition or vascular
steal. It is only with the simultaneous, independent measurement of
haemoglobin changes (with 2D-OIS) that one could disassociate any
possible physiological relationships; 2) Refinement of mathematical and
biophysical models of both the BOLD signal and optical imaging
spectroscopy techniques (Kennerley et.al. 2009); 3) Calibration of
non-BOLD fMRI techniques such as VASO and ASL; 4) Interpretation of
abnormal BOLD responses; specifically in disease and trauma conditions
in which either neuronal or haemodynamic breakdown could be responsible.
[1] Boorman, L.W. et.al. (2010) /Journal of Neuroscience/. /30(12):
4285-94;/ [2] Kennerley, A.J. et.al (2009) /NeuroImage 47:1608-1619/;
--
************************************************************************
Dr. Rebecca E. Millman
Science Liaison Officer
York Neuroimaging Centre
The Biocentre
York Science Park
Heslington
YO10 5DG
Tel: +44 (0) 1904 567614
Fax: +44 (0) 1904 435356
Some users may need to be aware of this particular bug in EEG.
--
Claire Fox
PA to Professor Gary Green
The York Neuroimaging Centre
Innovation Way
Science Park
York
YO10 5DG
Tel: 01904 435329
Fax: 01904 435356
Email: Claire.fox(a)ynic.york.ac.uk
FYI
---------------------------------------
Dear colleagues,
We would like to invite you to contribute your research to our special
issue on the role of brain oscillations in language processing, to
appear in Frontiers in Language Science.
You can visit the web site at:
_http://www.frontiersin.org/languagesciences/specialtopics/brain_oscillatio…
See detailed description below.
The call has been very successful so far and prominent figures in the
field have joined us in this project.
We are looking forward to receiving your research.
Best wishes,
Lucia Melloni & Marcela Pena
*Brain Oscillations during Language Processing: from Perception to
Production *
/Deadline for abstract submission: 01 Sep 2011 /
/Deadline for full article submission: 15 Dec 2011 /
Language processing is a seemingly effortless task that requires the
integration of speech units (e.g., phonemes, syllables, words, etc.)
occurring at different rates. In particular, temporal binding for speech
should occur within and across different temporal scales, necessitating
multiple simultaneous windows of integration for prosodic, semantic,
syntactic and pragmatic processing. Recent evidence suggests that
neuronal oscillations may reflect both tracking linguistic units at
their individual rhythms as well as integrating speech units over a
large range of temporal scales.
The present Research Topic would like to evaluate current theories and
evidence for a mechanistic role of neuronal oscillations in measuring
language processing, covering the latest advances brought about by EEG,
MEG and fMRI imaging methods. Our main focus is to highlight innovative
and foundational studies that go beyond methodological issues and
advance our theoretical understanding of the role of brain oscillations
in language processing. Contributions from the pioneers of this field
are selected, illustrating how the study of brain oscillations has
allowed investigating theoretically relevant questions that could not be
addressed by more traditional methods. The topic thus aims at deepening
our mechanistic understanding of language processing and bringing us
closer to bridging the gap between brain, mind and behavior for the
crucial cognitive function of speech.
Hosted By:
Marcela Pena <http://www.frontiersin.org/people/MarcelaPena/5634>,
Catholic University of Chile, Chile
Lucia Melloni <http://www.frontiersin.org/people/LuciaMelloni/32689>,
Max Planck Institute for Brain Research, Germany
------------------------------
Lucia Melloni, Ph.D
Max Planck Institute for Brain Research
Deutschordenstr. 46
60528 Frankfurt am Main
Germany
lucia.melloni(a)brain.mpg.de <mailto:lucia.melloni@brain.mpg.de>
T: +49 69 96769-268 <tel:%2B49%2069%2096769-268>
F: +49 69 96769-327 <tel:%2B49%2069%2096769-327>
--
Gary Green
Dear all,
for the few of you who wanted to follow up some of the references from my
talk today, I've put the presentation here:
/groups/resources/hbmReview.pptx
Some of the videos probably won't work, so I've added links to where they
may be accessed.
Michael
FYI
-------- Original Message --------
To Whom it May Concern:
ATR Neural Information Analysis Laboratories, Kyoto, Japan, have
openings for researcher positions and invite applications from
Ph.D. holders (or Ph.D. candidates who are very close to completion)
with strong motivations and ambitions in the research project
described below.
Our institute ATR, located in western Japan, is one of the top
research centers in computational neuroscience, biomedical signal
processing, and robotics in Asia (see http://www.cns.atr.jp/en/ for
more details). Our group research on brain-machine interface (BMI),
which controls actuators by estimating human movement and intension
from brain activities measured noninvasively by MEG, EEG, fMRI, and
NIRS. In particular, we focus on developing information scientific
methods, bio-measurement techniques, and neurosciences.
The project for which we are recruiting aims to construct a new
information-communication technology to connect people and machines
through engineering applications of neuroscience. More specifically,
the project's goal is to develop a BMI methodology that works well in
various environments in the real world by simultaneous measurement of
human behavior and brain activities and also by parallel and
distributed processing of large-scale data.
We look forward to your applications and recommendations.
Shin Ishii
ATR Neural Information Analysis Laboratories, Kyoto, Japan
= Job description =
(1) Ambient informatics team
The researcher will join a team dedicated for establishing an
environment for continuous measurement and recognition of human
behavior in a daily life. Here, the "environment" includes hardware
facilities, efficient network, and pattern recognition algorithms and
software. The team is supported by engineers. Data measurement
devices include stereo cameras, laser range finders, microphones,
pyroelectric sensors, power monitors (for appliance), and
bio-measurement devices (for electromyogram (EMG), heart pulse, blood
pressure, perspiration, and temperature). Good proposals for
additional measurement modalities will be welcomed.
(2) Decoding team
The researcher will join a team dedicated for developing artifact
reduction and decoding algorithms for brain activities measured under
real environments. Brain activity data measured in real environments
would often be contaminated by non-brain signals, which must be
reduced by all means for further analysis. By solving a challenging
research problem of decoding of movement or intension in uncontrolled
experiments, the team will develop BMI algorithms under real
environments. The successful candidate should have a strong
background in machine learning, information retrieval, or statistical
signal processing. Excellent programming skills and experiences of
large-scale data analysis will be advantageous.
(3) Neurosciences team
The researcher will join a team dedicated for neuroscience studies
focusing on human decision making and motor control under real
environments. The team's challenging goal is to elucidate the neural
bases involved in decision making and motor control, which are
sufficiently robust even in the uncertain real world, by fully
utilizing newly developed techniques of brain machine interface.
The teams include several foreign researchers and we also have
collaborated closely with researchers in countries overseas. Thus,
applications from abroad are particularly welcome.
= Requirements =
Applicants must:
- have a Ph.D. (or be near completion).
- have strong motivations and ambitions to take part in the research above.
Also, researchers having interest in neural and human science with
expertise in one or more of the following areas are welcomed:
- Statistics, machine learning, parallel distributed computing, signal
processing, artificial intelligence, bio-measurement and
instrumentation, computer vision, statistical physics, cognitive
psychology.
Exceptional applicants with a master’s or equivalent degree will be
considered as well.
= Number of openings =
Few
= Employment conditions =
Position : Full-time Researcher / Full-time Research Engineer
Tenure : Single year based contract, renewable based on evaluation
Treatment: Based on individual performance
Work Location:
Advanced Telecommunications Research Institute International (ATR)
2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan
= Application materials =
Please submit the following five materials to the contact address
below, either in printed or electronic form:
1. CV
2. List of publications
3. Reprints of 1–3 major publications
4. Document (one or two pages in A4 or letter size) describing:
- Summary of your previous research
- Interests and proposal for research
- Additional research skills not directly foreseeable from publications
5. Recommendation letters from two researchers
* Original documents you submit will not be returned.
= Judging system =
After documentary examination, we ask for presentation and interview
if needed
= Starting date =
After October 2011 (negotiable)
= Deadline for application =
Opens until positions are filled.
= Contact =
ATR Neural Information Analysis Laboratories
(Application for Researcher Position)
2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan
Email: dbi-info(a)atr.jp
= Use of personal data =
All personal data received will be properly managed and only be used
for the purpose of recruitment.
--
Gary Green
Dear Users
This Thursday (4 pm in YNiC) Michael Simpson will give a review of the
recent Human Brain Mapping meeting.
Everyone is welcome to attend and refreshments will be served afterwards.
Best wishes
Rebecca
--
Dr. Rebecca E. Millman
York Neuroimaging Centre
The Biocentre
York Science Park
York
YO10 5DG
Email: rem(a)ynic.york.ac.uk
Tel: 01904 435 5373
Hi
Together with Andre and Nikos, we have collected some potentially very
interesting results via an fMRI study on task switching.
The issue is this. When we do group analyses with cluster correction,
3 very large blobs are found in contrasting cond 1 with cond 2.
However, in playing with fslview it is clear that within these blobs
there are more interesting localised islands of activity.
My dilemma is this if we simply report the cluster-corrected blobs
that is okay but what
I really want to discuss are these other ROIs.
So how do I get this published and satisfy the statisitcal reviewer?
I cannot do a simple a priori ROI analysis because some of the
conditions are relatively novel and we cant predict where the ROIs
might be.
We can do this via email or I can talk about this at YNiC next week
perhaps?
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.
********************************************************************