Physics of Life Reviews,
Journal Year:
2024,
Volume and Issue:
52, P. 29 - 43
Published: Nov. 21, 2024
Despite
major
progress
in
our
understanding
of
the
brain,
connection
neural
and
mental
features,
that
is,
brain
mind,
remains
yet
elusive.
In
2020
target
paper
("Is
temporospatial
dynamics
'common
currency'
mind?
Spatiotemporal
Neuroscience")
we
proposed
"Common
currency
hypothesis":
temporo-spatial
are
shared
by
providing
their
connection.
The
current
aims
to
further
support
extend
original
description
such
common
into
a
first
outline
theory"
(CCT)
neuro-mental
relationship.
First,
range
examples
thoughts,
meditation,
depression
attention
all
lending
temporal
characteristics,
(i.e.
dynamics)
both
features.
Second,
now
also
show
empirical
how
spatial
i.e.,
topography,
features;
this
is
illustrated
topographic
reorganization
states
meditation.
Third,
considering
theoretical
terms,
specify
relationship
distinct
forms
correspondences,
ranging
on
continuum
from
simple
complex.
conclusion,
initial
hypothesis
about
key
role
an
integrated
mind-brain
theory,
(CCT).
Translational Psychiatry,
Journal Year:
2021,
Volume and Issue:
11(1)
Published: Nov. 8, 2021
Psilocybin
has
shown
promise
for
the
treatment
of
mood
disorders,
which
are
often
accompanied
by
cognitive
dysfunction
including
rigidity.
Recent
studies
have
proposed
neuropsychoplastogenic
effects
as
mechanisms
underlying
enduring
therapeutic
psilocybin.
In
an
open-label
study
24
patients
with
major
depressive
disorder,
we
tested
psilocybin
therapy
on
flexibility
(perseverative
errors
a
set-shifting
task),
neural
(dynamics
functional
connectivity
or
dFC
via
magnetic
resonance
imaging),
and
neurometabolite
concentrations
(via
spectroscopy)
in
brain
regions
supporting
implicated
acute
(e.g.,
anterior
cingulate
cortex,
ACC).
increased
at
least
4
weeks
post-treatment,
though
these
improvements
were
not
correlated
previously
reported
antidepressant
effects.
One
week
after
therapy,
glutamate
N-acetylaspartate
decreased
ACC,
was
between
ACC
posterior
cortex
(PCC).
Surprisingly,
greater
increases
PCC
associated
less
improvement
therapy.
Connectome-based
predictive
modeling
demonstrated
that
baseline
emanating
from
predicted
flexibility.
models,
better
but
These
findings
suggest
nuanced
relationship
Whereas
some
dynamics
may
allow
shifting
out
maladaptively
rigid
state,
larger
persisting
be
benefit
to
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Feb. 10, 2023
Abstract
Major
efforts
in
human
neuroimaging
strive
to
understand
individual
differences
and
find
biomarkers
for
clinical
applications
by
predicting
behavioural
phenotypes
from
brain
imaging
data.
An
essential
prerequisite
identifying
generalizable
replicable
brain-behaviour
prediction
models
is
sufficient
measurement
reliability.
However,
the
selection
of
targets
predominantly
guided
scientific
interest
or
data
availability
rather
than
reliability
considerations.
Here
we
demonstrate
impact
low
phenotypic
on
out-of-sample
performance.
Using
simulated
empirical
Human
Connectome
Projects,
found
that
levels
common
across
many
can
markedly
limit
ability
link
behaviour.
Next,
using
5000
subjects
UK
Biobank,
show
only
highly
reliable
fully
benefit
increasing
sample
sizes
hundreds
thousands
participants.
Overall,
our
findings
highlight
importance
brain–behaviour
associations
differences.
Proceedings of the National Academy of Sciences,
Journal Year:
2024,
Volume and Issue:
121(5)
Published: Jan. 26, 2024
Perceptual
decision-making
is
highly
dependent
on
the
momentary
arousal
state
of
brain,
which
fluctuates
over
time
a
scale
hours,
minutes,
and
even
seconds.
The
textbook
relationship
between
task
performance
captured
by
an
inverted
U-shape,
as
put
forward
in
Yerkes–Dodson
law.
This
law
suggests
optimal
at
moderate
levels
impaired
low
or
high
levels.
However,
despite
its
popularity,
evidence
for
this
humans
mixed
best.
Here,
we
use
pupil-indexed
data
from
various
perceptual
tasks
to
provide
converging
U-shaped
spontaneous
fluctuations
across
different
decision
types
(discrimination,
detection)
sensory
modalities
(visual,
auditory).
To
further
understand
relationship,
built
neurobiologically
plausible
mechanistic
model
show
that
it
possible
reproduce
our
findings
incorporating
two
interneurons
are
both
modulated
signal.
architecture
produces
dynamical
regimes
under
influence
arousal:
one
regime
increases
with
another
decreases
arousal,
together
forming
arousal–performance
relationship.
We
conclude
general
robust
property
processing.
It
might
be
brought
about
act
disinhibitory
pathway
neural
populations
encode
available
used
decision.
NeuroImage,
Journal Year:
2021,
Volume and Issue:
239, P. 118254 - 118254
Published: June 9, 2021
Recent
years
have
seen
a
surge
of
research
on
variability
in
functional
brain
connectivity
within
and
between
individuals,
with
encouraging
progress
toward
understanding
the
consequences
this
for
cognition
behavior.
At
same
time,
well-founded
concerns
over
rigor
reproducibility
psychology
neuroscience
led
many
to
question
whether
is
sufficiently
reliable,
call
methods
improve
its
reliability.
The
thesis
opinion
piece
that
when
studying
connectivity-both
across
individuals
time-we
should
use
behavior
prediction
as
our
benchmark
rather
than
optimize
reliability
own
sake.
We
discuss
theoretical
empirical
evidence
compel
perspective,
both
goal
study
stable,
trait-level
differences
people,
well
state-related
changes
individuals.
hope
will
be
useful
neuroimaging
community
we
continue
efforts
characterize
inter-
intra-subject
function
build
predictive
models
an
eye
eventual
real-world
applications.
Progress in Neurobiology,
Journal Year:
2022,
Volume and Issue:
213, P. 102269 - 102269
Published: April 12, 2022
Distractor
suppression
refers
to
the
ability
filter
out
distracting
and
task-irrelevant
information.
is
essential
for
survival
considered
a
key
aspect
of
selective
attention.
Despite
recent
rapidly
evolving
literature
on
distractor
suppression,
we
still
know
little
about
how
brain
suppresses
What
limits
progress
that
lack
mutually
agreed
upon
principles
study
neural
basis
its
manifestation
in
behavior.
Here,
offer
ten
simple
rules
believe
are
fundamental
when
investigating
suppression.
We
provide
guidelines
design
conclusive
experiments
(Rules
1-3),
discuss
different
types
need
be
distinguished
4-6),
an
overview
models
considerations
evaluate
statistically
7-10).
Together,
these
concise
comprehensive
synopsis
promising
advances
field
Following
will
propel
research
important
ways,
not
only
by
highlighting
prominent
issues
both
new
more
advanced
researchers
field,
but
also
facilitating
communication
between
sub-disciplines.
Sports Medicine - Open,
Journal Year:
2022,
Volume and Issue:
8(1)
Published: June 27, 2022
Abstract
Movement
variability
is
defined
as
the
normal
variations
in
motor
performance
across
multiple
repetitions
of
a
task.
However,
term
“movement
variability”
can
mean
different
things
depending
on
context,
and
when
used
by
itself
does
not
capture
specifics
what
has
been
investigated.
Within
sport,
complex
movements
are
performed
repeatedly
under
variety
constraints
(e.g.
situations,
presence
defenders,
time
pressure).
implications
for
sport
injury
risk
management.
Given
importance
movement
variability,
it
important
to
understand
terms
measure
describe
it.
This
broad
specify
types
that
currently
being
assessed
sporting
literature.
We
conducted
scoping
review
(1)
assess
current
definitions
within
tasks
(2)
utilise
results
proposed
framework
distinguishes
defines
tasks.
To
be
considered
eligible,
sources
must
have
or
skill
had
at
least
one
quantifiable
variability.
A
total
43
peer-reviewed
journal
article
were
included
review.
280
relating
terminology
extracted
using
data-charting
form
jointly
developed
two
reviewers.
One
source
out
(2%)
supplied
all
discussed.
Moreover,
169
(60%)
undefined
material.
Our
theoretical
explains
three
variability:
strategic,
execution,
outcome.
Strategic
describes
approaches
methods
complete
Execution
intentional
unintentional
adjustments
body
between
same
strategy.
Outcome
differences
result
product
movement.
These
emerged
from
broader
frameworks
control
adapted
fit
needs
sports
By
providing
specific
with
explicit
definitions,
our
ensure
like-to-like
comparisons
previous
The
practical
goal
this
aid
athletes,
coaches,
support
staff
gain
better
understanding
how
contribute
performance.
may
allow
training
tailored
optimise
aspects
success.
was
retrospectively
registered
Open
Science
Framework
(OSF)
Registries
(
https://osf.io/q73fd
).
Science Advances,
Journal Year:
2023,
Volume and Issue:
9(5)
Published: Feb. 1, 2023
The
human
brain
operates
in
large-scale
functional
networks.
These
networks
are
an
expression
of
temporally
correlated
activity
across
regions,
but
how
global
network
properties
relate
to
the
neural
dynamics
individual
regions
remains
incompletely
understood.
Here,
we
show
that
brain's
architecture
is
tightly
linked
critical
episodes
regularity,
visible
as
spontaneous
"complexity
drops"
magnetic
resonance
imaging
signals.
closely
explain
connectivity
strength
between
subserve
propagation
patterns,
and
reflect
interindividual
differences
age
behavior.
Furthermore,
complexity
drops
define
states
dynamically
shape
strength,
topological
configuration,
hierarchy
comprehensively
known
structure-function
relationships
within
brain.
findings
delineate
a
principled
activity-a
"complexome"
underpins
organization.
Scientific Reports,
Journal Year:
2023,
Volume and Issue:
13(1)
Published: Dec. 7, 2023
Abstract
Characterization
of
brain
states
is
essential
for
understanding
its
functioning
in
the
absence
external
stimuli.
Brain
differ
on
their
balance
between
excitation
and
inhibition,
diversity
activity
patterns.
These
can
be
respectively
indexed
by
1/f
slope
Lempel–Ziv
complexity
(LZc).
However,
whether
how
these
two
state
properties
relate
remain
elusive.
Here
we
analyzed
relation
LZc
with
in-silico
approaches
both
rat
EEG
monkey
ECoG
data.
We
contrasted
resting
propofol
anesthesia,
which
directly
modulates
excitation-inhibition
balance.
found
convergent
results
among
simulated
empirical
data,
showing
a
strong,
inverse
non
trivial
monotonic
complexity,
consistent
at
scales.
hypothesize
that
differentially
entropic
regimes
could
underlie
link
vastness
repertoire
systems.