Title: 1/f, Fractal, Chaos, and Small world in the brain
11/f, Fractal, Chaos, and Small worldin the brain
- Jaeseung Jeong, Ph.D
- Department of Bio and Brain Engineering,
- KAIST
2The Length of Coastline of Britain
3Fractal Self-similarity
4Fractal
As a non-fractal object is magnified, no new
features are revealed. As a fractal object is
magnified, ever finer features are revealed. A
fractal object has features over a broad range of
sizes.
Self-similarity The magnified piece of an object
is an exact copy of the whole object.
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6Complex dynamics of heart rate variability
7Breakdown of a fractal physiological control
mechanism can lead ultimately either to a highly
periodic output dominated by a single scale or to
uncorrelated randomness.
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9Zipfs Law
George Zipf's 1949 observation that the frequency
of words used in the English language followed a
powerlaw distribution is a profound thing. It not
only defined Zipf's Law, which gives a simple
rule to explain why some words (e.g. the, of,
and) are far more commonly used than others.
10The origin of Fractal Music
11Self-Organized Criticality The origin of 1/f in
the Brain
1. Introduction Self-Organization
- A process of attraction and repulsion in which
the internal organization of a system, normally
an open system, increases in complexity without
being guided or managed by an outside source
(From Wikipedia) - Typically displays Emergent
Properties
12Sandpile criticality
- Like a child's sand castle, seeds rain down onto
a mound that grows until it can't grow any more.
A complex balancing act keeps the mound stable
until it reaches the "point of criticality"-the
point at which the system "fails," creating
avalanches that change the mound's shape. - Each avalanche relieves pressure on the pile,
allowing it to begin growing again. Similar
patterns of alternating growth and failure show
up in many complex systems.
13Criticality or critical points
- Criticality indicates the behavior of extended
systems at a phase transition where scale
invariance prevails. - The many constituent microscopic parts bringing
about macroscopic phenomena that cannot be
understood by considering a single part alone.
141. Introduction Self-Organization
bird flocks, ant colonies, highway traffic,
market economies, immune systems in all of
these systems patterns are determined not by some
centralized authority but by local interactions
among decentralized components Resnic, 1995
15Getting on top of self-organized criticality
- Take a sand pile built up by dropping grains
onto it at a steady rate. The angle of the slope
will be controlled by the frictional strength of
the material. This was well known to Coulomb in
the eighteenth century.
16Brain and complex network (graph) theory
- Node (vertex) Brain region or voxel, channel
of EEG/MEG - Link (edge) Functional or anatomical
connection between nodes - Network analysis can reveal structural and
functional organization - of the brain (Liu, 2008)
17Small-world and scale-free organization of
voxel-based resting state functional connectivity
in the human brain van den Heuvel et al.,
Neuroimage, 2008
normal, resting-state, voxel-based(N10,000), zero
-lag temporal correlation, bandpass-filtered(0.01-
0.1Hz), unweighted, small-world and scale-free
optimal network organization balance between
maximum communication efficiency and minimum
wiring
AD, damage modeling, weighted graph, efficiency
18Constructing Brain Networks
19Brain is a small-world network
high C high C low
C high L low L low L
- high clustering coefficient (C) high
resilience to damage in local structures - low average path length (L) high level of
global communication efficiency - Brain functional network has small-world
structure, - while this property may be disrupted in damaged
brain such as AD - (vulnerability to damages, decreased
communication efficiency between distant brain
regions )
20Previous study 2
A resilient, low-frequency, small-world human
brain functional network with highly
connected association cortical hubs
Achard et al., The Journal of
Neuroscience, 2006
MODWT (Maximal Overlap Discrete Wavelet
Transform) at 6 frequency scales
healthy young subjects, resting-state, parcellatio
n(90 region-based), unweighted, small-world, NOT
scale-free resilient to targeted attack than SF
network
AD, voxel-based, weighted, efficiency, region
attack
21Spontaneous eyeblinking activity
- Time duration in the blink of an eye
- 0.2-0.3 sec
- Frequency of the eye-blinking
- 15-20 times/min
- 14,000 times/day
- 5,250,000 times/year
- 360,000,000 times/lifespan
-
- Time duration of eyes-closed for blinking
- 75 mins./day
22Functional roles of spontaneous eye-blinking
- On the act of blinking Eric Ponder and WP
Kennedy, The Quarterly journal of experimental
physiology (1927) - Protect eyeballs from injury or maintaining a
healthy ocular surface by inducing the formation
of the preocular tear film. - ?
- Sauna experiments Parkinsonian patients
23Eyeblinking is controlled by the brain
- Women are eye-blinking more frequently than men.
- The blink-rate is highly dependent on attention
and cognitive states. - Blink activity is substantially influenced by
experimental manipulation of dopaminergic
circuits in the basal ganglia. - Significantly, altered blink-rates are also
observed in several neuropsychiatric disorders
that are known to affect dopaminergic
neurotransmission. - Interesting experiment on eye-blinking during
reading in the library.
Eyeblinking is an epiphenomenon of information
processing of the brain?!
24Anxiety increases eyeblinking
25Why do we study eyeblinking?
- For better understanding of eye-blinking
- Dopaminergic circuits in the basal ganglia can be
monitored by eye-blink activity. - Eye-blinking activity can be used to control
computer/machine.
26Eyeblink is a signal of decision-making
- Despite the emphasis of previous studies on
defining the changes in EBR under various
cognitive or behavioral states, the timing or
temporal patterning of eyeblinks during specific
cognitive processes has been examined only
rarely. - Clue During the reading of written text, a
large proportion of eyeblinks occur at or near
the end of a line of text, before gaze returns to
the beginning of the next line. - Also, eyeblinks occur when subjects shift their
gaze, a so-called gaze-evoked blink. - Our hypothesis is that eyeblinks may signal the
end of one cognitive process, the beginning of
another, or the shift of one of these processes
to the other.
27How is the eyeblinking changed during cognitive
tasks?
28Eyeblinks in the Stroop task
-
- Participants name the color of the ink (red,
yellow, blue, green) in which words are written
or read the words. The words themselves either
denote colors or objects unrelated to colors, and
are variously grouped into three stimulus
conditions - (1) congruent, in which the word denotes a color
that matches the ink in which the word is
written. - (2) incongruent, in which the word denotes a
color other than the ink in which the word is
written. - (3) neutral, in which the word denotes an object
unrelated to color.
29Stroop TaskWord reading vs Color naming
- GREEN YELLOW
-
- BLUE BLUE
- YELLOW GREEN
- SPOT RED
30Stroop facilitation and interference
- Stroop facilitation
- The naming of ink colors for congruent
stimuli is faster, and therefore produces shorter
Reaction Times (RTs), than the naming of colors
for neutral stimuli. - Stroop interference
- The naming of ink colors for conflict stimuli
is slowed, and therefore produces longer RTs,
than the naming of colors for neutral or
congruent stimuli, -
- This interference is attributed by many to
the greater automaticity of word reading than
color naming, requiring greater cognitive control
and a greater allocation of attentional
resources, and therefore slowing responses to
avoid error on the task.
31- Dalrymple-Alford Budayr (1966) First to
encourage presentation timing of stimuli
individually. This method now dominates
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33The possible role of eyeblinks
- We found the statistically highly significant
temporal proximity of blinks to the vocal
response stage of information processing, rather
than during stimulus presentation or during gaze
fixation between stimuli. - This suggests that the cognitive process that the
blinks accompany is either the termination of
stimulus processing, the beginning or end of the
motor response, or the change in set from one of
these to the other.
34Tourettes syndrome
- Tourette Syndrome (TS) is a complex
neurobehavioral disorder characterized by a
changing pattern of motor and vocal tics which
begins in childhood. To be considered TS, the
symptoms should last more than a year.
35TS disease progress
36Neural substrates of TS
- Frontal-subcortical cuircuit
- Basal ganglia collection of large subcortical
nuclear mass - neostriatum, striatum Caudate nucleus putamen
- Corpus striatum caudate, putamen, globus
pallidus - Lentiform nucleus putamen and glubus pallidus
- Ventral striatum ventromedial part of th
putamen and caudate nucleus, nucleus accumbens,
37Complex tic dynamics
- To investigate whether tic dynamics is
deterministic or stochastic. - To quantify the severity and progress of the
disease. - Early detection of TS and transient tics using
inter-tic interval (ITI) dynamics.
38The temporal dynamics of tics in Tourette Syndrome
BS Peterson et al. The temporal dynamics of tics
in Gilles de la Tourette Syndrome, Biological
Psychiatry (1998)
39Tic patterns of Tourettes syndrome
40Fractal
As a non-fractal object is magnified, no new
features are revealed. As a fractal object is
magnified, ever finer features are revealed. A
fractal object has features over a broad range of
sizes.
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42Physics(Dynamics) ?? Neuroscience
- Theory driven
- first principles
- Reductionism
- simplify the world
- Qualitative understanding
- mathematics
- Empirical and descriptive
- phenomena
- Systems level
- details of the system
- Quantitative understanding
- measurements
- Paradigm Shift
- Complex real systems
- Synthesis whole-istic
- Systems neuroscience using mathematical models
- Universality among the diversity Brain