Current Projects at the Deane Institute
White Matter Injury: How Astrocytes Modules Oligodendrocyte Survival in Embolic Stroke
Principal Investigator |
Ken Arai |
Co-investigator |
Eng Lo |
Duration |
3 years |
To explore how astrocyte-mediated growth factors support oligodendrocyte survival and function.
Rho-Kinase inhibition in Microembolic Stroke Therapy
Principal Investigator |
Cenk Ayata |
Duration |
3 years |
To determine the effects of rhokinase inhibition on CBF, oxygenation, CMR02 and collateral flow and recovery.
Novel Methods for Detecting Atrial Fibrillation in Cryptogenic Stroke (in collaboration with Cardiology)
To identify biomarker, genetic, and
EKG predictors of atrial fibrillation
in patients with suspected embolic
stroke.
To develop novel methods of
identification of AF in individuals
with cryptogenic stroke – common
genetic risk factors, -whether
implantation of REVEAL XT will
detect previously undetected AF, -
whether non-invasive diagnostic
studies or molecular biomarkers can
be used
A Possible Neuranatomic Substrate of Atrial Fibrillation after Acute Ischemic Stroke (in collaboration with Cardiology)
Principal Investigator |
Hakan Ay |
Co-investigators |
Jeremy Ruskin
Greg Sorensen
Thomas Benner
Mursat Arsava |
Duration |
9 months |
To retrospectively map the
neuroanatomic substrate for
potentially stroke related atrial
fibrillation.
Deane Institute Informatics Platform for Cerebrovascular Disease Genetics and Imaging
Principal Investigator |
Jonathan Rosand |
Co-investigators |
Paul deBakker
Karen
Furie Greg Sorensen
Marcia Nizzari
Natalia Rost |
Duration |
2 years |
To assemble genetic material and
imaging on 40,000 stroke patients to
build the Deane Inst. Informatics
Platform for the Genetics of
Cerebrovascular Disease.
Whole Genome Scan for White Matter Disease in CADASIL
To use WGA to study white matter
hypertensity in CADASIL.
Brain-Computer Interfaces for Immediate Restoration of Motor Function after Stroke
Using real-time cortical neuronal
activity to restore motor function in
patients with stroke via BrainGate
Neural Interface System. Read more on
the BrainGate project.
An Animal Model of
Hypertrophy
associated Atrial
Fibrillaton
To test the hypothesis that myostatin and its
downstream regulators p38 kinase may be
critical regulators of atrial hypertrophy
associated arrhythmias by altering
expression and function of ion channels.
Mouse Models of
Atrial Fibrillation:
Examination of the
Role of KCNQ1 &
Pitx2*
Develop a mouse knockin model of the
S209P mutation for AF in an attempt to
recapitulate this arrhythmia. A second
model will be set up as a follow up the
recent description of variants for AF on
Chromosome 4.
Electrical Silencing of
the Pulmonary Veins:
A Novel Approach to
Atrial Fibrillation
Conduct experiment to shed light on
pathogenesis of AF and lead to better
understanding of the mechanisms by which
the pulmonary vein isolation and other
therapies can reduce AF.
Using In Vivo MRI to
Determine the
Continuity of PV
Isolations After
Catheter Ablation for
Atrial Fibrillation
To determine whether DE-MRI can detect
areas of anatomic breakthrough which
correlate to reconnection of conduction
from the pulmonary vein to the left atrium
in tissue that has previously undergone
pulmonary vein isolation from AF.
Use of MRI to detect
Anatomical &
Functional
Characteristics of the
Left Atrial Appendage
that confer a Higher
Stroke Risk in Patients
with Atrial Fibrillation
To use magnetic resonance
angiography (MRA) to detect anatomical
and functional characteristics of the LAA
that confer a higher stroke risk in patients
with AF
Aims:
- To analyze the LAA anatomy by
MRA in 100 patients with AF and no prior
stroke.
- To analyze the LAA anatomy by
MRA in 150 patients with AF and prior
stroke.
- #3. to use the MRI/MRA to obtain
functional data on the LAA.
Utility of P-Wave
Alternans to Assess
Atrial Electrical
Stability
Principal Investigator |
Antonis A. Armoundas, Ph.D. |
Duration |
1.5 years |
The aim of this proposal is to develop
methods for diagnosing potentially severe
heart rhythm disturbances, -namely atrial
fibrillation (AF)
- by recording cardiac
electrical activity, from within the heart,
measuring beat-to-beat variability in the
morphology of electrocardiographic
waveforms, namely electrical alternans, and
using the measured beat-to-beat variability
to determine the effectiveness of radiofrequency
catheter ablation (RCA)
procedures to treat AF.