Research
Interests:
The
goal of my research:
Is to investigate and characterize the neural mechanisms of cognitive operations
that lead to human perception and action. To achieve a full understanding of
such cognitive operations, our investigations must encompass knowledge from
the macroscopic brain structural level to the microscopic level of single neurons
and receptor channels. We must also embrace issues of brain connectivity, functional
specificity within brain modules and the spatiotemporal dynamics of activations
across the brain network. Thus, our approach is to 1) identify underlying brain
regions, neuron populations and connections (i.e., the "active circuits"),
2) to identify physiological and, if possible, pharmacological processes within
active circuits and 3) to define temporal activity patterns within each active
brain module and across the modules comprising a given active circuit.
The Specific Questions:
My research has focused on two main questions within human perception and
cognition.
Deploying Attention: The first main goal of my research program
focuses on investigating the neural mechanisms of deploying and switching
attention
between different attention-demanding tasks. These tasks can be within different
stimulus feature channels (e.g. colour versus texture), different sensory
modalities (e.g. vision versus audition) or different spatial locations.
While the vast
majority of attention research has focused on the stimulus processing effects
that result from preceding attentional switches, my work has been focused
on the switches themselves. That is, I am primarily interested in establishing
the mechanisms by which the brain establishes a 'bias' or 'anticipatory set'
for a given task. It is these 'sets' that then give rise to the subsequent
stimulus processing effects that are seen, and it is these 'sets' that are
most allied to the perceptual phenomenon of voluntary attention. It is essential
that we fully understand how the brain makes these switches and establishes
these biased brain states if we are to gain a real understanding of the nature
of attentional processing in the brain. Impairment in the ability to effectively
deploy attention is a core deficit in a number of psychiatric disorders including
schizophrenia, autism and attention deficit disorder.
Multisensory Integration: The second main goal of
my research program focuses on investigating the neural mechanisms
of integrating information from multiple sensory systems. Most studies
of perception have examined the various sensory systems in isolation,
and these endeavors have been remarkably fruitful. However, our experience
and subsequent memory of events is multisensory. Clearly, the information
provided by the various senses is combined to form a single integrated
experience of the world. Consequently, a complete understanding of
perception must include the processes that produce multisensory integration.
While a tremendous amount of work has been conducted in animals,
particularly in subcortical structures, this facet of perception
has been largely
unexplored in humans at the cortical level. Only a small number of
cross-sensory studies have been conducted using functional imaging
(fMRI and PET). In particular, high-density event-related potentials
(ERPs) have only been used to measure the spatio-temporal dynamics
of cortical interactions in the past 2 years. My laboratory has been
conducting multisensory integration experiments in an attempt to
detail a basic taxonomy of integration effects. A long-term goal
is to define
the network of cortical brain areas responsible for integrating inputs
from the various combinations of sensory inputs. Recent data from
my laboratory have challenged a generally held notion that multisensory
cortical integration is a higher-level process that occurs after
extensive
processing of input to the constituent unisensory systems. We have
uncovered evidence in both human and monkeys that initial cortical
multisensory integrations may occur in an early feedforward manner.
The Experimental Techniques:
My means of investigating these questions incorporates 3 complementary
components: 1) high-density event-related potential (ERP) recordings
(128-channels), 2)
functional Magnetic Resonance Imaging (fMRI) and 3) parallel intracranial
investigations in non-human primates. I am firmly convinced that
by fully optimizing the spatial
resolution of the ERP through current density analysis and inverse source
localization, we can then fully exploit this techniques exceptional
temporal resolution.
One of the best ways to optimize the spatial resolution of high-density ERPs
is to combine/constrain the source solution with data from event-related
functional hemodynamic imaging studies (fMRI) that use identical
paradigms in the same
subjects. In this manner, we can define the spatio-temporal interaction dynamics
as a given network of cortical areas, an active circuit, interacts to achieve
a given sensory or cognitive function. Finally, in collaboration with Drs.
Charlie Schroeder and Dan Javitt, I have been conducting studies in monkeys
using identical paradigms to those used in our human subjects, while recording
intracranially from multi-contact linear array electrodes. By this approach,
we can step from the macroscopic level of inter-areal interactions that we
can define non-invasively in humans, down to the neuronal ensemble level
in monkeys, where we can differentiate feedforward from feedback
processes, inhibitory
from excitatory potentials and relate the post-synaptic potentials to concurrent
multi-unit activity. This three-pronged approach is allowing for unprecedented
insights into the neural bases of sensory processing and cognitive function.
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