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The Journal of Neuroscience, August 1, 2002, 22(15):6315-6320
BRIEF COMMUNICATION
Parahippocampal Reactivation Signal at Retrieval after
Interruption of Rehearsal
Katsuyuki
Sakai1,
James B.
Rowe1, and
Richard
E.
Passingham1, 2
1 Wellcome Department of Imaging Neuroscience,
Institute of Neurology, London WC1N 3BG, United Kingdom, and
2 Department of Experimental Psychology, University of
Oxford, Oxford OX1 3UD, United Kingdom
 |
ABSTRACT |
Verbal information is maintained on-line within working memory by
rehearsal. However, we still can recall the verbal information when
rehearsal is interrupted. Here we show that this is achieved by
reactivation of maintained information. We used event-related functional magnetic resonance imaging to identify brain activation at
encoding, during memory delay, and at retrieval, within the same trial
of a verbal working memory task. On half of the trials, retrieval was
tested after arithmetic distraction to interrupt rehearsal of the
remembered verbal items. We found that the parahippocampal cortex (PHC)
was highly active at retrieval on trials with distraction compared with
trials without distraction. The PHC did not show sustained activation
during the memory delay. By contrast, the dorsolateral prefrontal
cortex (DLPF), left superior temporal region (ST), and Broca's area
showed sustained activation during the memory delay, suggesting their
role in maintenance of verbal items. After arithmetic distraction, the
DLPF and ST were engaged in arithmetic processing. Thus, these areas
could not maintain the verbal items during the distraction. At
retrieval of verbal items after the distraction, the DLPF, ST and
Broca's area were also active. The activity was taken to reflect
reactivated representation of the verbal items. The primary role of the
PHC in retrieval may be to trigger the reactivation of these cortical
areas that had maintained the remembered items, thereby reactivating
the information that is no longer maintained on-line.
Key words:
verbal working memory; rehearsal; retrieval; reactivation; parahippocampal cortex; prefrontal cortex
 |
INTRODUCTION |
In working memory, information of
the remembered item is maintained on-line during the memory delay
(Goldman-Rakic, 1987
). For verbal items, rehearsal is the key mechanism
for this on-line maintenance. At retrieval, the relevant information is
selected from the on-line item representation, possibly by the
prefrontal cortex (Rowe et al., 2000
). However, when rehearsal is
interrupted by a distractor task that requires concurrent articulation,
the verbal information can no longer be maintained on-line (Baddeley, 1986
). This raises the question as to how information is retrieved after distraction.
In long-term memory, the stored item information is thought to be
"reactivated" at retrieval (Squire and Zola-Morgan, 1991
; Nyberg et
al., 1996
). It has been shown that the neurons in the neocortical areas
that had been active at the initial processing of the information
became active again at retrieval, that is, the neurons are
"reactivated" (Naya et al., 1996
; Nyberg et al., 2000
; Wheeler et
al., 2000
). This reactivation of neurons may be achieved by backward
spreading of activation from the medial temporal lobe structures (Naya
et al., 2001
) or top-down signals from the prefrontal cortex (Tomita et
al., 1999
).
In the present study, we investigated whether a similar reactivation
process is involved in retrieval from memory over a short duration when
rehearsal is interrupted by a distractor. The main questions are (1)
whether the neocortical areas are reactivated at retrieval after
distraction and (2) whether the prefrontal cortex and medial temporal
lobe play specific roles in reactivation. We have analyzed the temporal
profile of brain activation during a trial of a verbal working memory
task with arithmetic distraction and compared it with activation during
the same task without distraction.
 |
MATERIALS AND METHODS |
Subjects. Twelve normal, right-handed volunteers
(five men, seven women, aged 22-35 years) participated in the study.
Written informed consent was obtained from all subjects. The study was approved by the joint ethics committee of the Institute of Neurology and University College London Hospital (London, UK).
Behavioral procedures. Subjects had to remember a sequence
of five consonant letters (Fig. 1). A
memory delay of variable length (8-16 sec, varied in steps of 2 sec)
followed, during which subjects rehearsed the letters. Subsequently
subjects had to perform an arithmetic task, serial addition of five
numbers, for 6 sec. Subjects were then tested on their memory for the
remembered letter sequence.

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Figure 1.
Behavioral paradigm. A sequence of five
consonant letters was presented on a screen, each for 750 msec
separated by 250 msec interval. Subjects rehearsed the letters during
an unfilled delay period ranging from 8 to 16 sec. Subsequently, five
numbers were presented, each for 600 msec separated by 200 msec
interval. Subjects had to add the numbers cumulatively. Then, after 200 msec, an arithmetic probe for the cumulative sum of the five numbers
was presented for 800 msec, which the subjects had to confirm or
disagree with by pressing a yes or no button. Then, after 1 sec, a
memory probe followed, in which two letters were presented. The
subjects judged whether the order of the two letters was the same as or
different from the remembered sequence and responded by pressing the
yes or no button. The four trial types (Mem-Dist, Mem-NoDist,
NoMem-Dist, and NoMem-NoDist) were intermixed
pseudorandomly and presented 15 trials each.
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|
We tested four conditions in a factorial design with two levels for
memory (memory and no memory) and distractor (distractor and no
distractor) (Fig. 1). The memory task ("Mem") presented five
different letters that were randomly chosen from consonants other than
"X". The no memory ("NoMem") task used a sequence of five Xs.
In NoMem task as well as in Mem task, subjects had to give a
"yes" or "no" response to the memory probe (Fig. 1). Thus, on
the memory probe test, a judgment on the probe and a button press were
required in both Mem and NoMem tasks, but recall of a five-letter
sequence was required only in Mem task. Each of Mem and NoMem tasks was
embedded with either a distractor or no distractor task. The distractor
task ("Dist") used five numbers randomly chosen from 3 to 9, whereas the no distractor task ("NoDist") used five 0s. The Dist
task prevented subjects from rehearsing the remembered letter sequence,
whereas the NoDist task permitted them to continue the rehearsal
because a 0 was inevitably followed by 0, and the sum would be 0. Thus,
there were four conditions, Mem-Dist, Mem-NoDist, NoMem-Dist, and
NoMem-NoDist.
After practice of the behavioral paradigm for 20 min, imaging was
started. The four conditions were intermixed pseudorandomly, and
fifteen trials of each condition were presented in a pseudorandom order
with intertrial intervals of variable length, 8-16 sec, varied in steps of 2 sec.
Imaging procedures. Imaging was performed using a 2-T
Siemens Vision scanner. The functional images sensitive to blood-oxygen level dependent (BOLD) contrasts were acquired by T2*-weighted echoplanar imaging [repetition time (TR) 4.5 sec; echo time (TE) 40 msec; 525 sequential whole brain volume acquisitions; 48 axial slices;
slice thickness, 2 mm; slice gap, 1 mm; 64 × 64 in-plane resolution with field of view (FOV) of 192 mm]. The onset of each task
trial relative to the preceding image acquisition was jittered in steps
of 0.3 sec within 1 TR (4.5 sec). High-resolution structural T1-weighted MPRAGE images (TR 9.5 sec, TE 4 msec, inversion time 600 msec, voxel size 1 × 1 × 1.5 mm, 108 axial slices) were
also acquired on all subjects.
FMRI data analysis. Image processing and analysis was
performed using SPM99 (http://www.fil.ion.ucl.ac.uk). The first five volumes of images were discarded to allow for T1 equilibration. The
remaining 520 image volumes were realigned spatially to the first
image, and the time-series for voxels within each slice was realigned
temporally to acquisition of the middle slice. The resulting volumes
were normalized to a standard echoplanar imaging template based
on the Montreal Neurological Institute reference brain. The data were
spatially smoothed with a Gaussian kernel of full-width half-maximum at
10 mm.
Statistical parametric maps of t statistics were calculated
for condition-specific effects within a general linear model. The model
included separate covariates for transient activation in response to
the presentation of each memory item, arithmetic item, arithmetic
probe, and memory probe, each separately for the four conditions. We
also modeled sustained activation during the memory delay as an epoch
with its onset time-locked to the start of the memory delay and with
its duration matched to the length of the memory delay. All events and
epochs were convolved with a canonical hemodynamic response function.
The data were high-pass filtered with a frequency cutoff at 90 sec.
We performed a random-effects analysis. Images of parameter estimates
for the contrast of interest were created for each subject (first-level
analysis), and were then entered into a second-level analysis using
one-sample t test across the 12 subjects, thresholded at
p < 0.05 corrected (t >8.95). For the
medial temporal lobe, hypothesis-driven testing was performed on a
restricted region of interest including the hippocampus,
parahippocampal, entorhinal, and perirhinal cortices (t
>3.83). This was determined based on the mean structural images
averaged across the 12 subjects.
All the 12 subjects made at least 10 correct responses among the 15 trials in Mem-Dist. To equate the weighting of each subject contributing to the second-level analysis, we have randomly chosen 10 correct trials in Mem-Dist for each subject. Other correct trials and
error trials were modeled separately.
Identification of activation foci. First, we identified
areas that show significant phasic activation in response to the
presentation of a letter sequence (encoding). We compared phasic BOLD
responses between the two Mem conditions and the two NoMem conditions
(main effect of memory). Because subjects did not know whether the
trial would be Dist or NoDist, activation on Mem-Dist and Mem-NoDist should be the same and so should activation on NoMem-Dist and NoMem-NoDist. We next identified areas that showed sustained
activation during the memory delay (maintenance) by testing the main
effect of memory on sustained BOLD response. Finally, we identified
areas that showed phasic activation in response to the memory probe (retrieval) by testing the main effect of memory. Additionally, using those retrieval-related areas thus identified as an inclusive mask, we tested the main effect of distraction, thus identifying areas
that were more active on Mem-Dist than on Mem-NoDist.
Time course of activation. We next examined the temporal
profiles of activation. We extracted the adjusted BOLD signal data from
the peak of activation foci identified as above. The time course of the
signals was realigned at the onset and offset of the memory delay and
was resampled in 2 sec time bins. Then, the signals within each bin
were averaged across the trials for the 12 subjects (120 correct trials
for Mem-Dist and 180 trials for each of the other conditions). To
investigate at which time point the activation differed between the
conditions, we compared the signals for each bin using ANOVA. When
there were significant differences across the four conditions, Tukey's
honestly significant difference test was used as a post hoc test.
 |
RESULTS |
Behavioral data
On the memory probe, subjects made more errors on memory trials
with distractor than the other conditions: 21% (Mem-Dist), 3%
(Mem-NoDist), 0% (NoMem-Dist), and 0% (NoMem-NoDist). On the reaction times to the memory probe, there were significant main effects
of and an interaction between memory and distractor
(p < 0.001). The reaction times were longer on
memory trials with distractor; 2352 msec, 1809 msec, 1098 msec, and
1062 msec for Mem-Dist, Mem-NoDist, NoMem-Dist, and NoMem-NoDist, respectively.
On the arithmetic probe, subjects made only a few errors (<3% in all
the four conditions). The reaction times to the arithmetic probe did
not differ significantly between memory and no memory trials
(p > 0.1: 1079 vs 1096 msec for Mem-Dist and
NoMem-Dist, 910 vs 912 msec for Mem-NoDist and NoMem-NoDist). There
was no significant interaction between the memory and distractor
factors on the arithmetic probe (p > 0.1). The
numbers for the arithmetic task were presented quickly, 600 msec for
each number separated by a 200 msec interval, so that any attempt to
rehearse letter sequences during the arithmetic task would have
severely impaired performance on the arithmetic, which was not observed
in the present experiment.
Imaging data
After stimulus presentation (encoding), areas including the left
parahippocampal cortex (PHC) were more active on memory trials (Mem)
than on no memory trials (NoMem) (Table
1). During the memory delay, areas
including the dorsolateral prefrontal cortex (DLPF), posterior part of
the left superior temporal region (ST), and Broca's area showed
sustained activation on Mem trials as compared with NoMem trials (Table
1). There was no significant activation during the memory delay in the
medial temporal lobe, even at a lower threshold of p < 0.05 uncorrected. At retrieval, areas including the PHC, DLPF, ST, and
Broca's area were more active on Mem trials than on NoMem trials
(Table 1). Of these areas, only the PHC and anterior cingulate cortex
showed significantly higher activation on trials with distraction
(Mem-Dist) than on trials without distraction (Mem-NoDist). In
Broca's area there was a difference at a low significant level
(p < 0.001 uncorrected).
After presentation of the memory items, the PHC showed a phasic
increase of BOLD response on both Mem-Dist and Mem-NoDist trials
compared with NoMem trials (Fig. 2). The
response peaked at 4 sec after the onset of the memory delay, that is,
8.75 sec after the presentation of the first letter. Taking into
account the delay of BOLD responses, this activity was taken to be
related to the encoding of a letter sequence. A phasic BOLD response
was also observed after the offset of the memory delay on Mem-Dist and
Mem-NoDist trials, but the response on the Mem-Dist was significantly larger than that on Mem-NoDist between 14 and 18 sec after the offset
of the memory delay (p < 0.05). The peak of the
PHC response on Mem-Dist trials was seen at 14 sec after the offset of
the memory delay, that is, 8 sec after the presentation of the memory probe, suggesting that the response was related to the retrieval of a
letter sequence after distractors. The BOLD response in the PHC did not
differ between NoMem-Dist and NoMem-NoDist trials; the presence or
absence of the arithmetic distractor task, which was presented between
0 and 6 sec after the offset of memory delay, did not affect the PHC
activation. The PHC did not show sustained activation between the two
phasic responses. From 12 sec after the onset of memory delay to 8 sec
after the offset of memory delay, the BOLD signal in the two Mem
conditions did not differ significantly from that in the two NoMem
conditions (p > 0.1).

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Figure 2.
Areas showing significant activation at retrieval
(left) and their time course of activation aligned at
the onset (center) and offset (right) of
the memory delay. From top to bottom,
activities in the PHC, DLPF, ST, and Broca's area are shown. The
timing of task events are shown below each panel. The four conditions
are shown separately.
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In contrast, the DLPF showed sustained increase of the BOLD response in
the two Mem conditions compared with NoMem conditions (Fig. 2). The
DLPF activity in the two Mem conditions was significantly larger than
that in the NoMem-NoDist condition from 6 sec after the onset of the
memory delay to 18 sec after the offset of the memory delay
(p < 0.05). Importantly, the activity was
sustained throughout the memory delay, whatever the length of the
memory delay (8-16 sec). On NoMem-Dist trials compared with
NoMem-NoDist trials, the BOLD signals in the DLPF showed a phasic
increase after the offset of memory delay with its peak at 10 sec after the offset of the memory delay. Because the arithmetic task was presented between 0 and 6 sec after the offset of the memory delay, this activity was taken to be related to the arithmetic processing. However, during this time period, the BOLD signals in the DLPF did not
differ significantly between Mem-Dist (when the subjects were
performing arithmetic) and Mem-NoDist trials (when they were maintaining the items) (p > 0.1).
The ST and Broca's area also showed sustained activity during the
memory delay (Fig. 2); their activity on the Mem trials was
significantly larger than that on the NoMem trials from 2 sec after the
onset of memory delay to 18 sec after the offset of memory delay
(p < 0.01). The time course of BOLD signals in the ST was similar to that in the DLPF; on NoMem-Dist trials there was
a phasic increase after the offset of memory delay (arithmetic processing), and between Mem-Dist and Mem-NoDist trials there was no
significant difference.
In contrast, Broca's area differed from the DLPF and ST with respect
to the response to the arithmetic distractor (Fig. 2). Its BOLD
response did not increase on NoMem-Dist as compared with NoMem-NoDist
after the arithmetic. The response was significantly smaller on
Mem-Dist than that on Mem-NoDist at time 8-12 sec after the offset
of memory delay, which corresponds to the period of arithmetic
distraction. However, a more superior and posterior portion of the
Broca's area (coordinate:
48, 20, 10) was active during the
arithmetic distraction. On NoMem-Dist this area showed a phasic
increase of activation with its peak at 10 sec after the offset of the
memory delay. On Mem-Dist, this area showed significant activation
during the memory delay, during the arithmetic distraction, and also at retrieval.
 |
DISCUSSION |
The present study showed that the PHC was active at
verbal retrieval specifically when the rehearsal was interrupted by
arithmetic distraction. We argue that this activation reflects a
reactivation signal.
Parahippocampal activation at retrieval
after distraction
Mental arithmetic has been shown to use the subvocal
rehearsal component of working memory (Logie et al., 1994
), and hence is effective in suppressing rehearsal of verbal items (Baddeley, 1986
).
In the present study, subjects were allowed to rehearse the verbal
items for 8-16 sec, and then were interrupted by the arithmetic task.
On memory trials with the distracting arithmetic task (Mem-Dist), all
subjects reported that they were unable to rehearse the letter sequence
during the arithmetic. At retrieval, subjects had to recall the
remembered five-letter sequence. This required recovery or
"reactivation" of the off-line information. By contrast, on memory
trials without distraction (Mem-NoDist), subjects were able to
continue the rehearsal during the nondistracting arithmetic task and
maintained the verbal information on-line. Thus, there was no need to
reactivate the information at retrieval because it was still active in
working memory. The present study has shown that the PHC is especially
activated at retrieval when the memory item is no longer maintained
on-line as compared to when the item is maintained on-line. The finding
suggests that the PHC plays a role in reactivating the off-line
information at retrieval. The activity in the PHC cannot be
attributable to performing mental arithmetic because the PHC was no
more active in NoMem-Dist than in NoMem-NoDist.
An important question is whether the parahippocampal reactivation
processes are essential for retrieval of the off-line information. To
answer the question, we have compared all the correct and error trials
across subjects (142 vs 38 trials) (Fig.
3). We were only able to perform the
fixed-effects analysis because of variation in the number of error
trials across subjects. We found that the PHC activity was
significantly smaller on error trials than on correct trials
(p < 0.05 corrected for small volume
correction). This effect was observed only at retrieval. At encoding
and during maintenance, the PHC activity did not differ significantly
between correct and error trials. Although the finding should be
confirmed with a random-effects analysis on a larger set of data, it
suggests that the parahippocampal activity at retrieval is critical for correct retrieval after distraction.
The idea that the medial temporal lobe plays a role in reactivation of
long-term memory has been suggested previously (Squire and Zola-Morgan,
1991
; Nyberg et al., 1996
, 2000
). Our study shows that only 6 sec of
distraction is sufficient to elicit the reactivation process in the PHC
and that the process is not needed when the memory is held on-line. The
finding may explain why patients with medial temporal lobe lesions can
remember items as long as they rehearse the items, but they fail
totally as soon as they are distracted (Scoville and Milner,
1957
). Recently Ranganath and D'Esposito (2001)
have also shown
that the PHC was active at retrieval in a working memory task for
faces, in which a memory delay of 7 sec was used. The activity was
observed even when there was no distractor. The present study also
showed significant activation at retrieval without distraction, but
demonstrated in addition that the activation was much enhanced when
retrieval was preceded by a distractor task. It may also be significant
that we tested memory for familiar letters, whereas Ranganath and
D'Esposito (2001)
tested memory for novel faces (Stern et al.,
2001
).
The PHC was not active during on-line maintenance of the verbal items.
Although we cannot exclude the possibility of insufficient sensitivity,
the finding is consistent with Ranganath and D'Esposito (2001)
. Thus,
the activity in the PHC may not reflect the representation of verbal
items per se.
Neocortical activation at retrieval
The item representations may be maintained in the DLPF, ST, and
Broca's area, which showed sustained activation during the memory
delay. During the arithmetic distraction on Mem-Dist trials, these
areas could no longer hold the remembered verbal information because
they were either engaged in arithmetic processing or were less active
during the arithmetic. However, the DLPF, ST and Broca's area were
active at retrieval, well after the arithmetic distraction. Thus these
neocortical areas became re-engaged in the memory processing. Because
these areas maintained the item representations, their activity at
retrieval on Mem-Dist trials may reflect reactivated item
representations. On Mem-NoDist trials, on the other hand, their
activity during the nondistracting arithmetic task may reflect the
on-line maintenance continuous from the preceding memory delay period.
Thus, at retrieval on Mem-NoDist trials, the activity in the DLPF, ST,
and Broca's area may reflect the item representations that had been
already active. Unlike the activity in the PHC, the activity in DLPF
and ST at retrieval did not differ between Mem-Dist and Mem-NoDist.
These neocortical areas may be involved in retrieval irrespective of
whether the information is retrieved from on-line working memory or
from off-line stored memory. At a low threshold, activity in Broca's
area at retrieval was higher in Mem-Dist than in Mem-NoDist. At
retrieval after interruption of rehearsal (Mem-Dist), subjects had to
restart the rehearsal of the remembered verbal items, whereas in
Mem-NoDist subjects simply continued the rehearsal. Initiation of
rehearsal has been shown to result an increase of activation in
Broca's area (Chein and Fiez, 2001
).
Mechanisms of reactivation
Reactivation of item representation in the DLPF, ST, and Broca's
area may require interactions with the medial temporal regions that
include the parahippocampal cortex (Lavenex and Amaral, 2000
). One
possibility is that the PHC triggers the reactivation of information stored in the ST and Broca's area. Although the present study could
not determine the causality of the activation, the idea would be
supported by backward spreading of item-specific activity from the
medial temporal lobe to the neocortical memory store (Naya et al.,
2001
).
Our results suggest that the role of the DLPF may not be specific to
reactivation processes. Prefrontal cortex has been shown to play
critical roles in recall of off-line information (Shimamura, 1995
;
Buckner and Koutstaal, 1998
; Tomita et al., 1999
). We have shown, in
addition, that the prefrontal cortex is also active at retrieval of
on-line information. The area specifically involved in recall of
off-line information may be located more anteriorly (Brodmann's area
10) than that identified in the present study (area 46) (Buckner and
Koutstaal, 1998
). The DLPF may also play different roles from the ST
and Broca's area. In another study, we tested the same memory paradigm
for letters except that an immediate memory task for five numbers (low
interference) or five letters (high interference) was used as a
distractor (Sakai and Passingham, 2002
). At retrieval of a letter
sequence, the DLPF was significantly highly active when letters were
used as distractors than when numbers were used as distractors. The
activity in the PHC, ST, and Broca's area did not differ significantly
between the two conditions. The finding suggests that the DLPF may play roles in counteracting the interference effects. This may be achieved by top-down selection signals from the DLPF to the posterior cortical areas (Tomita et al., 1999
). Sustained activation in the DLPF during
the memory delay may also reflect the repeated selection of items in
memory to counteract the future distraction (Sakai et al., 2002
).
 |
FOOTNOTES |
Received April 9, 2002; revised May 22, 2002; accepted May 24, 2002.
This work was supported by the Wellcome Trust. K.S. was supported by
the Human Frontier Science Program.
Correspondence should be addressed to Katsuyuki Sakai, Wellcome
Department of Imaging Neuroscience, Institute of Neurology, 12 Queen
Square, London WC1N 3BG, UK. E-mail: ksakai{at}fil.ion.ucl.ac.uk.
 |
REFERENCES |
-
Baddeley AD
(1986)
In: Working memory. New York: Oxford UP.
-
Buckner RL,
Koutstaal W
(1998)
Functional neuroimaging studies of encoding, priming, and explicit memory retrieval.
Proc Natl Acad Sci USA
95:891-898[Abstract/Free Full Text].
-
Chein JM,
Fiez JA
(2001)
Dissociation of verbal working memory system components using a delayed serial recall task.
Cereb Cortex
11:1003-1014[Abstract/Free Full Text].
-
Goldman-Rakic P
(1987)
Circuitry of primate prefrontal cortex and regulation of behavior by representational memory.
In: Handbook of physiology, The nervous system, Higher functions of the brain, Section 1, Vol V, Part 1 (Plum F,
ed), pp 374-417. Bethesda, MD: American Physiological Society.
-
Lavenex P,
Amaral DG
(2000)
Hippocampal-neocortical interaction: a hierarchy of associativity.
Hippocampus
10:420-430[Web of Science][Medline].
-
Logie RH,
Gilhooly KJ,
Wynn V
(1994)
Counting on working memory in arithmetic problem solving.
Mem Cognit
22:395-410[Web of Science][Medline].
-
Naya Y,
Sakai K,
Miyashita Y
(1996)
Activity of primate inferotemporal neurons related to a sought target in pair-association task.
Proc Natl Acad Sci USA
93:2664-2669[Abstract/Free Full Text].
-
Naya Y,
Yoshida M,
Miyashita Y
(2001)
Backward spreading of memory-retrieval signal in the primate temporal cortex.
Science
291:661-664[Abstract/Free Full Text].
-
Nyberg L,
McIntosh AR,
Houle S,
Nilsson L-G,
Tulving E
(1996)
Activation of medial temporal structures during episodic memory retrieval.
Nature
380:715-717[Medline].
-
Nyberg L,
Habib R,
McIntosh AR,
Tulving E
(2000)
Reactivation of encoding-related brain activity during memory retrieval.
Proc Natl Acad Sci USA
97:11120-11124[Abstract/Free Full Text].
-
Ranganath C,
D'Esposito M
(2001)
Medial temporal lobe activity associated with active maintenance of novel information.
Neuron
31:865-873[Web of Science][Medline].
-
Rowe JB,
Toni I,
Joseph O,
Frackowiak RSJ,
Passingham RE
(2000)
The prefrontal cortex: response selection or maintenance within working memory?
Science
288:1656-1660[Abstract/Free Full Text].
-
Sakai K,
Passingham RE
(2002)
Prefrontal selection and parahippocampal reactivation at memory retrieval.
NeuroImage
16:S10368.
-
Sakai K,
Rowe JB,
Passingham RE
(2002)
Active maintenance in prefrontal area 46 creates distractor-resistant memory.
Nat Neurosci
5:479-484[Web of Science][Medline].
-
Scoville WB,
Milner B
(1957)
Loss of recent memory after bilateral hippocampal lesions.
J Neurol Neurosurg Psychiat
20:11-21[Free Full Text].
-
Shimamura AP
(1995)
Memory and the prefrontal cortex.
Ann NY Acad Sci
769:151-159[Web of Science][Medline].
-
Squire LR,
Zola-Morgan S
(1991)
The medial temporal lobe memory system.
Science
253:1380-1386[Abstract/Free Full Text].
-
Stern CE,
Sherman SJ,
Kirchhoff BA,
Hasselmo ME
(2001)
Medial temporal and prefrontal contributions to working memory tasks with novel and familiar stimuli.
Hippocampus
11:337-346[Web of Science][Medline].
-
Tomita H,
Ohbayashi M,
Nakahara K,
Hasegawa I,
Miyashita Y
(1999)
Top-down signal from prefrontal cortex in executive control of memory retrieval.
Nature
401:699-703[Medline].
-
Wheeler ME,
Petersen SE,
Buckner RL
(2000)
Memory's echo: vivid remembering reactivates sensory-specific cortex.
Proc Natl Acad Sci USA
97:11125-11129[Abstract/Free Full Text].
Copyright © 2002 Society for Neuroscience 0270-6474/02/22156315-06$05.00/0
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J. Rissman, A. Gazzaley, and M. D'Esposito
Dynamic Adjustments in Prefrontal, Hippocampal, and Inferior Temporal Interactions with Increasing Visual Working Memory Load
Cereb Cortex,
July 1, 2008;
18(7):
1618 - 1629.
[Abstract]
[Full Text]
[PDF]
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E. A. Crone, C. Wendelken, S. E. Donohue, and S. A. Bunge
Neural Evidence for Dissociable Components of Task-switching
Cereb Cortex,
April 1, 2006;
16(4):
475 - 486.
[Abstract]
[Full Text]
[PDF]
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H. C. Tanabe, M. Honda, and N. Sadato
Functionally Segregated Neural Substrates for Arbitrary Audiovisual Paired-Association Learning
J. Neurosci.,
July 6, 2005;
25(27):
6409 - 6418.
[Abstract]
[Full Text]
[PDF]
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K. Kessler and M. Kiefer
Disturbing Visual Working Memory: Electrophysiological Evidence for a Role of the Prefrontal Cortex in Recovery from Interference
Cereb Cortex,
July 1, 2005;
15(7):
1075 - 1087.
[Abstract]
[Full Text]
[PDF]
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K. Sakai and R. E. Passingham
Prefrontal Selection and Medial Temporal Lobe Reactivation in Retrieval of Short-term Verbal Information
Cereb Cortex,
August 1, 2004;
14(8):
914 - 921.
[Abstract]
[Full Text]
[PDF]
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D. J. Mort, P. Malhotra, S. K. Mannan, C. Rorden, A. Pambakian, C. Kennard, and M. Husain
The anatomy of visual neglect
Brain,
September 1, 2003;
126(9):
1986 - 1997.
[Abstract]
[Full Text]
[PDF]
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