Modeling a neurological disorder as the result of an operator acting on the brain: A first sketch based on network channel modeling
Chaos An Interdisciplinary Journal of Nonlinear Science,
Journal Year:
2024,
Volume and Issue:
34(5)
Published: May 1, 2024
The
brain
is
a
complex
network,
and
diseases
can
alter
its
structures
connections
between
regions.
Therefore,
we
try
to
formalize
the
action
of
by
using
operators
acting
on
network.
Here,
propose
conceptual
model
brain,
seen
as
multilayer
whose
intra-lobe
interactions
are
formalized
diagonal
blocks
an
adjacency
matrix.
We
general
abstract
definition
disease
operator
altering
weights
neural
agglomerates,
that
is,
elements
As
models,
consider
examples
from
three
neurological
disorders:
epilepsy,
Alzheimer-Perusini's
disease,
schizophrenia.
alteration
be
alterations
communication
pathways,
thus,
they
described
with
new
channel
model.
Language: Английский
Recent achievements in nonlinear dynamics, synchronization, and networks
Chaos An Interdisciplinary Journal of Nonlinear Science,
Journal Year:
2024,
Volume and Issue:
34(10)
Published: Oct. 1, 2024
This
Focus
Issue
covers
recent
developments
in
the
broad
areas
of
nonlinear
dynamics,
synchronization,
and
emergent
behavior
dynamical
networks.
It
targets
current
progress
on
issues
such
as
time
series
analysis
data-driven
modeling
from
real
data
climate,
brain,
social
dynamics.
Predicting
detecting
early
warning
signals
extreme
climate
conditions,
epileptic
seizures,
or
other
catastrophic
conditions
are
primary
tasks
experimental
data.
Exploring
machine-based
learning
for
purpose
prediction
is
an
emerging
area.
Application
evolutionary
game
theory
biological
systems
(eco-evolutionary
theory)
a
developing
direction
future
research
understanding
interactions
between
species.
Recent
bifurcations,
analysis,
control,
time-delay
also
discussed.
Language: Английский