Neuroscience & Biobehavioral Reviews,
Год журнала:
2023,
Номер
146, С. 105045 - 105045
Опубликована: Янв. 13, 2023
BYLEMANS,
T.,
et
al.
Mentalizing
and
narrative
coherence
in
autistic
adults:
Cerebellar
sequencing
prediction.
NEUROSCI
BIOBEHAV
REV,
2022.
-
This
review
focuses
on
adults
serves
4
purposes:
(1)
providing
an
overview
of
their
difficulties
regarding
mentalizing
(understanding
others’
mental
states)
(structured
storytelling),
(2)
highlighting
the
relations
between
both
skills
by
examining
behavioral
observations
shared
neural
substrates,
(3)
integrated
perspective
novel
diagnostic
tools
support
services,
(4)
raising
awareness
adult
autism.
We
suggest
that
are
related
at
level
level.
In
addition
to
traditional
network,
cerebellum
probably
as
important
hub
cerebral
networks
implicated
coherence.
Future
autism
research
services
should
tackle
new
questions
within
a
framework
social
cerebellar
(dys)functioning.
Nature Communications,
Год журнала:
2023,
Номер
14(1)
Опубликована: Март 8, 2023
Abstract
Although
every
life
event
is
unique,
there
are
considerable
commonalities
across
events.
However,
little
known
about
whether
or
how
the
brain
flexibly
represents
information
different
components
at
encoding
and
during
remembering.
Here,
we
show
that
cortico-hippocampal
networks
systematically
represent
specific
of
events
depicted
in
videos,
both
online
experience
episodic
memory
retrieval.
Regions
an
Anterior
Temporal
Network
represented
people,
generalizing
contexts,
whereas
regions
a
Posterior
Medial
context
information,
people.
prefrontal
cortex
generalized
videos
depicting
same
schema,
hippocampus
maintained
event-specific
representations.
Similar
effects
were
seen
real-time
recall,
suggesting
reuse
overlapping
memories.
These
representational
profiles
together
provide
computationally
optimal
strategy
to
scaffold
for
high-level
components,
allowing
efficient
comprehension,
recollection,
imagination.
Proceedings of the National Academy of Sciences,
Год журнала:
2025,
Номер
122(3)
Опубликована: Янв. 14, 2025
The
hippocampus
possesses
anatomical
differences
along
its
long
axis.
Here,
we
explored
the
functional
specialization
of
human
hippocampal
axis
using
network-anchored
precision
MRI
in
two
independent
datasets
(N
=
11
and
N
9)
paired
with
behavioral
analysis
266
238).
Functional
connectivity
analyses
demonstrated
that
anterior
was
preferentially
correlated
a
cerebral
network
associated
remembering,
while
posterior
selectively
contained
region
distinct
salience.
Seed
regions
placed
within
recapitulated
networks.
characterization
task
data
identified
replicated
double
dissociation.
sensitive
to
remembering
imagining
future,
specifically
tracking
process
scene
construction,
displayed
transient
responses
targets
an
oddball
detection
transitions
between
blocks.
These
findings
suggest
unexpected
differential
reflecting
properties
partner
eNeuro,
Год журнала:
2021,
Номер
8(1), С. ENEURO.0416 - 20.2020
Опубликована: Янв. 1, 2021
The
WU-Minn
Human
Connectome
Project
(HCP)
is
a
publicly-available
dataset
containing
state-of-the-art
structural
magnetic
resonance
imaging
(MRI),
functional
MRI
(fMRI),
and
diffusion
(dMRI)
for
over
thousand
healthy
subjects.
While
the
planned
scope
of
HCP
included
an
anatomic
connectome,
resting-state
fMRI
(rs-fMRI)
forms
bulk
HCP's
current
connectomic
output.
We
address
this
by
presenting
full-cortex
connectome
derived
from
probabilistic
tractography
organized
into
HCP-MMP1.0
atlas.
Probabilistic
methods
large
sample
sizes
are
preferable
whole-connectome
mapping
as
they
increase
fidelity
traced
low-probability
connections.
find
that
overall,
connection
strengths
lognormally
distributed
decay
exponentially
with
tract
length,
connectivity
reasonably
matches
macaque
histologic
tracing
in
homologous
areas,
contralateral
homologs
left-lateralized
language
areas
hyperconnected,
hierarchical
similarity
influences
connectivity.
compare
dMRI
to
existing
rs-fMRI
cortico-cortico-evoked
potential
matrices
it
more
similar
latter.
This
work
helps
fulfill
promise
will
make
possible
comparisons
between
underlying
connectomes
various
modalities,
brain
states,
clinical
conditions.
Journal of Neuroscience,
Год журнала:
2021,
Номер
41(24), С. 5243 - 5250
Опубликована: Май 17, 2021
Recent
work
has
shown
that
the
brain's
default
mode
network
(DMN)
is
active
when
people
imagine
future.
Here,
we
test
in
human
participants
(both
sexes)
whether
future
imagination
can
be
decomposed
into
two
dissociable
psychological
processes
linked
to
different
subcomponents
of
DMN.
While
measuring
brain
activity
with
fMRI
as
subjects
events,
manipulate
vividness
these
events
modulate
demands
for
event
construction,
and
valence
evaluation.
We
found
one
subcomponent
DMN,
ventral
DMN
or
medial
temporal
lobe
(MTL)
subsystem,
responds
but
not
imagined
events.
In
contrast,
another
subcomponent,
dorsal
core
This
separate
modifiability
by
provides
strong
evidence
a
neurocognitive
dissociation
between
(1)
construction
novel,
from
individual
components
memory
(2)
evaluation
constructed
desirable
undesirable.
The
hippocampus
supports
multiple
cognitive
functions
including
episodic
memory.
Recent
work
has
highlighted
functional
differences
along
the
anterior–posterior
axis
of
human
hippocampus,
but
neuroanatomical
underpinnings
these
remain
unclear.
We
leveraged
track-density
imaging
to
systematically
examine
anatomical
connectivity
between
cortical
mantle
and
in
vivo
hippocampus.
first
identified
most
highly
connected
areas
detailed
degree
which
they
preferentially
connect
Then,
using
a
tractography
pipeline
specifically
tailored
measure
location
density
streamline
endpoints
within
we
characterised
where
Our
results
provide
new
insights
into
how
specific
regions
are
associated
with
different
inputs/outputs
evidence
that
both
gradients
circumscribed
dense
extrinsic
exist
These
findings
inform
conceptual
debates
field
emphasise
importance
considering
as
heterogeneous
structure.
Overall,
our
represent
major
advance
ability
map
understanding
neural
architecture
hippocampal-dependent
memory
systems
brain.
Nature Communications,
Год журнала:
2022,
Номер
13(1)
Опубликована: Окт. 2, 2022
Memory
transformation
is
increasingly
acknowledged
in
theoretical
accounts
of
systems
consolidation,
yet
how
memory
quality
and
neural
representation
change
over
time
schemas
influence
this
process
remains
unclear.
We
examined
the
behavioral
schema-congruent
incongruent
object-scene
pairs
retrieved
across
10-minutes
72-hours
using
fMRI.
When
a
congruent
schema
was
available,
became
coarser
time,
aided
by
post-encoding
coupling
between
anterior
hippocampus
medial
prefrontal
cortex
(mPFC).
Only
representations
were
integrated
mPFC
organized
according
to
schematic
context.
In
hippocampus,
pattern
similarity
changed
such
that
posterior
represented
specific
details
general
context
memories,
irrespective
congruency.
Our
findings
suggest
are
used
as
scaffold
facilitate
neocortical
integration
information,
illustrate
evolution
hippocampal
organization
detailed
contextual
time.
Recent
human
behavioral
and
neuroimaging
results
suggest
that
people
are
selective
in
when
they
encode
retrieve
episodic
memories.
To
explain
these
findings,
we
trained
a
memory-augmented
neural
network
to
use
its
memory
support
prediction
of
upcoming
states
an
environment
where
past
situations
sometimes
reoccur.
We
found
the
learned
selectively
as
function
several
factors,
including
uncertainty
about
state.
Additionally,
encoding
memories
at
end
event
(but
not
mid-event)
led
better
subsequent
performance.
In
all
cases,
benefits
retrieval
can
be
explained
terms
reducing
risk
retrieving
irrelevant
Overall,
modeling
provide
resource-rational
account
why
should
lead
testable
predictions.The
brain
record
snapshots
details
from
specific
events
–
such
took
place
this
information
later.
Recalling
‘episodic
memories’
help
us
gain
understanding
our
current
surroundings
predict
what
will
happen
next.
Studies
have
typically
involved
observing
volunteers
while
perform
simple,
well-defined
tasks,
learning
recalling
lists
random
pairs
words.
However,
it
is
less
clear
how
works
‘in
wild’
no
one
quizzing
us,
going
everyday
activities.
Recently,
researchers
started
study
more
naturalistic
situations,
for
example,
watch
movie.
Here,
Lu
et
al.
built
computational
model
brains
store
during
experiments.
The
team
gave
sequence
inputs
corresponding
different
stages
event,
asked
was
coming
Intuitively,
might
think
best
would
frequently
possible.
performed
is,
preferentially
storing
waiting
recover
them
until
there
gap
model’s
situation.
This
strategy
may
avoid
(in
turn)
result
making
incorrect
predictions
with
negative
outcomes.
makes
possible
particular
experiment.
openly
shared
code
so
other
able
their
studies
understand
uses
situations.