Hippocampal sharp wave ripples and coincident cortical ripples orchestrate human semantic networks
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: April 10, 2024
Abstract
Episodic
memory
function
is
predicated
upon
the
precise
coordination
between
hippocampus
and
widespread
cortical
regions.
However,
our
understanding
of
neural
mechanisms
involved
in
this
process
incomplete.
In
study,
human
subjects
undergoing
intracranial
electroencephalography
(iEEG)
monitoring
performed
a
list
learning
task.
We
show
sharp-wave
ripple
(SWR)-locked
reactivation
specific
semantic
processing
regions
during
free
recall.
This
activation
consists
both
broadband
high
frequency
(non-oscillatory)
(oscillatory)
activity.
SWRs
ripples
anterior
temporal
lobe,
major
hub,
co-occur
increase
rate
prior
to
Coincident
hippocampal-ATL
are
associated
with
greater
reactivation,
specificity
location
based
on
recall
content,
preceded
by
theta
oscillations.
These
findings
may
represent
orchestrated
an
interplay
hippocampal
SWRs,
ripples,
Language: Английский
Declarative Memory Through the Lens of Single-Trial Peaks in High-Frequency Power
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 2, 2025
Summary
Declarative
memory
depends
on
the
coordination
of
local
processing,
indexed
by
high-frequency
broadband
(HFB)
activity,
with
global
network
organization,
theta
oscillations.
However,
and
HFB
exhibit
asynchronous
timing,
raising
question
how
results
processing
are
communicated
throughout
network.
Using
intracranial
EEG
in
patients
performing
a
recognition
task,
we
examined
this
across
medial
temporal
lobe
(MTL)
prefrontal
cortex
(PFC).
peak
activity
was
earlier
MTL
than
PFC.
Anchoring
analyses
phase
clustering
connectivity
to
peaks
revealed
strong
locked
PFC,
as
well
between
PFC
that
predicted
individual
performance.
Graph
analysis
specific
connections
amidst
sparse
during
success.
This
study
demonstrates
transient
brain
states
linked
internal
physiological
events
support
refines
our
understanding
network-level
process
interactions.
Highlights
Memory-linked
is
time-locked
Network
changes
dynamically
Sparse
supports
successful
Specific
sequences
may
be
critical
for
declarative
Language: Английский
A wireless, 60-channel, AI-enabled neurostimulation platform
Daniel S. Rizzuto,
No information about this author
Zhe Hu,
No information about this author
Daniel Utin
No information about this author
et al.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 6, 2025
Abstract
Electrical
stimulation
of
the
human
brain
has
emerged
as
a
powerful
therapeutic
modality,
enabling
alteration
neural
circuits
underlying
cognition
and
behavior.
Recent
evidence
indicates
that
stimulation’s
effects
on
physiology
behavior
depend
endogenous
variation
in
state,
measured
by
field-potential
recordings.
Here,
we
describe
60-channel
brain-computer
interface
–
Smart
Neurostimulation
System
(SNS)
combines
closed-loop
analysis
spectral
features
field
potential
with
multi-channel
capabilities.
We
demonstrate
system
functionality
via
bench
tests
from
an
vivo
ovine
study
exercising
subset
device’s
functionality.
Our
shows
SNS
can
reliably
measure
correlates
(motion)
physiological
stimulation.
safety
histology
following
120-day
study.
Language: Английский
Hippocampal and cortical high frequency oscillations orchestrate human semantic networks during word list memory
iScience,
Journal Year:
2025,
Volume and Issue:
28(4), P. 112171 - 112171
Published: March 13, 2025
Language: Английский
Dissociating physiological ripples and epileptiform discharges with vision transformers
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 18, 2025
Abstract
Two
frequently
studied
bursts
of
neural
activity
in
the
hippocampus
are
normal
physiological
ripples
and
abnormal
interictal
epileptiform
discharges
(IEDs).
While
they
different
waveforms,
IEDs
notoriously
picked
up
as
false
positives
when
using
typical
automated
detectors
which
prone
to
sharp
edge
artifacts.
This
has
created
challenges
for
studying
independently.
We
leveraged
recent
advances
computer
vision
on
time-frequency
feature
representations
enable
more
comprehensive
objective
dissociation
these
phenomena.
retrospectively
evaluated
human
intracranial
recordings
from
46
hippocampal
depth
electrode
sites
among
17
patients
with
focal
epilepsy,
majority
whom
had
a
seizure-onset
zone/network
involving
hippocampus.
implemented
common
ripple
detection
algorithm
broadband
spectrograms
all
detected
“ripple
candidates”
were
projected
into
low-dimensional
space.
segmented
them
k-means
infer
pseudo-labels
probable
IEDs.
Independently,
expert
IED
labels
manually
annotated
comparison.
State-of-the-art
transformer
models
individual
approach
vs.
an
image
classification
problem.
31,847
ripple/IED
candidates,
median
3.9%
per
patient
(range:
0-47.2%)
based
label
overlap.
Low-dimensional
projection
separated
canonical
better
than
raw
or
ripple-filtered
waveforms.
Canonical
candidates
emerged
at
opposite
poles
continuous
landscape
intermediates
between.
A
binary
model
trained
expert-labeled
non-IED
candidate
5-fold
cross-validation
showed
mean
area
under
curve
(AUC)
0.970
precision-recall
0.694,
both
significantly
above
chance.
To
evaluate
generalizability,
we
leave-one-patient-out
approach,
training
testing
data
demonstrated
near-expert
performance
(mean
AUC
0.966
across
patients,
range
0.892-0.997).
Transformer-derived
attention
maps
revealed
that
tuned
triangle-like
artifact
spatial
features
spectrograms.
Model-derived
probabilities
(i.e.
being
IED)
transitions
between
IEDs,
opposed
clustering.
The
delineation
appears
best
represented
gradient
not
binary)
due
overlapping
sharpened
and/or
high
frequency
pathophysiological
features.
Vision
transformers
nevertheless
perform
virtually
levels
dissociating
phenomena
by
leveraging
enabled
Such
tools
applied
spectrotemporal
may
augment
investigations
cognitive
neurophysiology
signal
biomarker
optimization
closed-loop
applications.
Language: Английский
Introducing HiBoP: a Unity‐based visualization software for large iEEG datasets
Maria Del Vecchio,
No information about this author
Benjamin Bontemps,
No information about this author
Florian Lance
No information about this author
et al.
Journal of Neuroscience Methods,
Journal Year:
2024,
Volume and Issue:
409, P. 110179 - 110179
Published: May 31, 2024
Language: Английский
Neocortico-hippocampal ripple-based coordination during naturalistic encoding
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Sept. 27, 2023
Abstract
Ripples
are
fast
oscillatory
events
widely
recognized
as
crucial
markers
for
memory
consolidation
and
neural
plasticity.
These
transient
bursts
of
activity
thought
to
coordinate
information
transfer
between
the
hippocampus
neocortical
areas,
providing
a
temporal
framework
that
supports
stabilization
integration
new
memories.
However,
their
role
in
human
encoding
during
naturalistic
scenarios
remains
unexplored.
Here,
we
recorded
intracranial
electrophysiological
data
from
ten
epilepsy
patients
watching
movie.
were
analyzed
regions
(i.e.,
frontal
cortex).
Our
results
revealed
differential
dynamical
pattern
ripple
occurrence
encoding.
Enhanced
hippocampal
recruitment
was
observed
at
event
boundaries,
reflecting
involvement
segmentation,
whereas
higher
rates
seen
within
an
cortical
electrodes
with
cortex
weather
later
recalled.
findings
shed
light
on
mechanisms
underlying
provide
insights
into
potential
ripples
event,
suggesting
impact
formation
long-term
memories
distinct
episodes.
Language: Английский
The interactive effects of divided attention and semantic elaboration on associative recognition memory: an fMRI study
Bradley R. Buchsbaum,
No information about this author
Morris Moscovitch,
No information about this author
Kevin Tang
No information about this author
et al.
Cerebral Cortex,
Journal Year:
2024,
Volume and Issue:
34(12)
Published: Dec. 1, 2024
The
present
study
explored
the
opposing
effects
on
memory
of
semantic
elaboration
and
division
attention
learning
recognition
verbal
paired
associates.
Previous
work
had
found
that
levels
recollection
were
reduced
under
divided
conditions,
even
after
equating
expressed
between
full
attention.
experiments
not
only
confirmed
this
finding
but
also
participants
based
their
largely
normative
values
rather
than
subjectively
achieved
elaboration.
In
terms
related
brain
processes,
experiment
2
used
functional
magnetic
resonance
to
show
was
associated
with
both
prefrontal
hippocampal
activity
a
reduction
in
connectivity
anterior
hippocampus
medial-orbital
regions
cortex.
Increased
increased
immediately
stimulus
presentation.
Additionally,
medial-prefrontal
cortex
enhanced
by
increases
conditions
Our
results
therefore
two
factors
influencing
memory-elaboration
attention-are
mediated
processes
cortex,
hippocampus,
these
structures.
Language: Английский