CFP:-Modeling-Brain-Disorders
Eytan Ruppin
ruppin at math.tau.ac.il
Fri Sep 6 08:31:24 EDT 1996
CALL FOR SUBMISSIONS
Special Issue of the Journal "Artificial Intelligence in Medicine"
(Published by Elsevier)
Theme: COMPUTATIONAL MODELING OF BRAIN DISORDERS
Guest-Editors: Eytan Ruppin & James A. Reggia
(Tel-Aviv University) (University of Maryland)
BACKGROUND
As computational methods for brain modeling have advanced during the last
several years, there has been an increasing interest in
adopting them to study brain disorders in neurology,
neuropsychology, and psychiatry. Models of Alzheimer's disease,
epilepsy, aphasia, dyslexia, Parkinson's disease, stroke and schizophrenia
have been recently studied to obtain a better understanding of the
underlying pathophysiological processes.
While computer models have the disadvantage of simplifying the
underlying neurobiology and the pathophysiology, they also
have remarkable advantages: They
permit precise and systematic control of the model variables,
and an arbitrarily large number of ``subjects''.
They are open to detailed inspection, in isolation, of the influence of
various metabolic and neural variables on the disease progression, in the
hope of gaining insight into why observed behaviors occur. Ultimately,
one seeks a sufficiently powerful model that can be used to
suggest new pharmacological interventions and rehabilitative actions.
OBJECTIVE OF SPECIAL ISSUE
The objective of this special issue on modeling brain disorders
is to report on the recent studies in this field. The main goal is to
increase the awareness of the AI medical community to this research,
currently primarily performed by members of the neural networks and
`connectionist' community. By bringing together a series of such brain
disorders modeling papers, we strive to produce a contemporary overview
of the kinds of problems and solutions that this growing research field
has generated, and to point to future promising research directions.
More specifically, papers are expected to cover one or more of the
following topics:
-- Specific neural models of brain disorders, expressing the link between
their pathogenesis and clinical manifestations.
-- Computational models of pathological alterations in basic neural,
synaptic and metabolic processes, that may relate to the generation
of brain disorders in a significant manner.
-- Applications of neural networks that shed light on the pathogenic
processes that underlie brain disorders, or explore their temporal
evolution and clinical course.
-- Methodological issues involved in constructing computational models
of brain disorders; obtaining sufficient data, visualizing
high-dimensional complex behavior, and testing and validating these
models.
-- Bridging the apparent gap between functional imaging investigations
and current neural modeling studies, arising from their distinct
spatio-temporal resolution.
SCHEDULE
All the submitted manuscripts will be subject to a rigorous review
process. The special issue will include 5 papers of 15-20 pages
each, plus an editorial. Manuscripts should be prepared in accordance
with the journal "submission guidelines" which are available on request,
and may also be retrieved from http://www.math.tau.ac.il/~ruppin.
November 15, 1996 Submission of tentative title and abstract
to declare intension to submit paper. This
should be done electronically, to
ruppin at math.tau.ac.il.
March 15, 1997 Receipt of full papers. Three copies of a manuscript
should be sent to:
Eytan Ruppin
Department of Computer Science
School of Mathematics
Tel-Aviv University
Tel-Aviv, Israel, 69978.
August 1, 1997 Notification of acceptance
October 1, 1997 Receipt of final-version of manuscripts
June 1998 Publication of AIM special issue
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