Brain Activation During Autobiographical Memory Retrieval with Special Reference to Default Mode Network
RESEARCH ARTICLE

Brain Activation During Autobiographical Memory Retrieval with Special Reference to Default Mode Network

The Open Neuroimaging Journal 25 Apr 2011 RESEARCH ARTICLE DOI: 10.2174/1874440001105010014

Abstract

Recent neuroimaging studies have suggested that brain regions activated during retrieval of autobiographical memory (ABM) overlap with the default mode network (DMN), which shows greater activation during rest than cognitively demanding tasks and is considered to be involved in self-referential processing. However, detailed overlap and segregation between ABM and DMN remain unclear. This fMRI study focuses first on revealing components of the DMN which are related to ABM and those which are unrelated to ABM, and second on extracting the neural bases which are specifically devoted to ABM. Brain activities relative to rest during three tasks matched in task difficulty assessed by reaction time were investigated by fMRI; category cued recall from ABM, category cued recall from semantic memory, and number counting task. We delineated the overlap between the regions that showed less activation during semantic memory and number counting relative to rest, which correspond to the DMN, and the areas that showed greater or less activation during ABM relative to rest. ABM-specific activation was defined as the overlap between the contrast of ABM versus rest and the contrast of ABM versus semantic memory. The fMRI results showed that greater activation as well as less activation during ABM relative to rest overlapped considerably with the DMN, indicating that the DMN is segregated to the regions which are functionally related to ABM and the regions which are unrelated to ABM. ABM-specific activation was observed in the left-lateralized brain regions and most of them fell within the DMN.

Keywords: Autobiographical memory, semantic memory, default mode network, functional MRI.

INTRODUCTION

Autobiographical memory retrieval (ABM) is the conscious reconstruction and recollection of a personally relevant event [1]. The neuroanatomical basis of the ABM has been consistently reported to be located in the retrosplenial/posterior cingulate cortex, medial temporal lobe including hippocampus, medial prefrontal cortex (PFC), and the inferior parietal lobule [2, 3]. These regions have also been reported to be the components of the default mode network (DMN) where increased activity during rest or low-demand task compared with high-demand tasks is observed [4, 5, 6]. Although the function of the DMN is unclear, it is postulated that the DMN is involved in various cognitive processes such as stimulus independent thoughts (i.e. cognitive processes that are not related to any information in the immediate external environment) or mind-wandering [7], self-referential sensory processing of interoceptive sensory information and scanning the external environment in the absence of attention-demanding stimuli [8-10], and suppression of the endogenous activity in limbic and paralimbic systems [11].

According to Andreasen et al. [12], typical mental activity during rest consists of a mixture of freely wandering past recollections, future plans, and other personal thoughts. It has been proposed that prominent part of the processes mediated by the DMN is episodic retrieval [8, 13], and recent studies showed that common regions are involved in the ABM and DMN [14, 15]. However, the DMN has been suggested to be involved in functions other than ABM such as self-referential sensory processing of interoceptive sensory information [8, 9] and social cognition [14, 15, 16]. A recent meta-analysis using a combination of activation likelihood estimation suggested that the DMN can be dissociable to different subnetworks, each with distinct function [17]. An fMRI study using Granger causality analysis also suggested heterogeneity within the DMN [18].

The present study aimed to reveal components of the DMN which are related to ABM and those which are unrelated to ABM. The former will be shown as the overlap between greater activation during ABM and the DMN. Since ABM is also attention-demanding and goal-directed task, parts of the regions which showed less activation during ABM relative to rest will be involved in the DMN. Therefore, DMN which are unrelated to ABM will be shown as the overlap between less activation during ABM relative to rest and the DMN. No previous study has addressed the anatomical overlap between the DMN and less activation for ABM. In the present study, we investigated the extent to which less activation as well as greater activation during ABM relative to rest overlaps with the DMN. In order to identify the DMN, we used number counting task and semantic memory retrieval task (see methods section). Number counting task requires a type of stimulus-dependent thought and therefore less activation during this task relative to rest will delineate a typical DMN. Although semantic memory retrieval task is defined as the conscious recollection of information about the world [19], it requires a search for and selection of appropriate items which may have a certain level of personal relevance [20]. Therefore, less activation during semantic memory retrieval will involve relatively limited parts of the DMN. However, we selected this task since we are also interested in isolating the brain areas which uniquely contribute to ABM and assumed that these areas can be estimated by the combination of greater activation during ABM relative to rest and greater activation during ABM relative to semantic memory due to the following consideration. Previous studies regarding the neural substrates of ABM have measured brain activities during ABM relative to reference task such as rest or retrieval of semantic memory [3]. However, the regions which showed greater activation during ABM relative to rest will include the generative cognitive processes which are not specifically related to ABM, such as attention and response execution, which will be removed by the contrast of ABM vs. semantic memory. On the other hand, the areas which showed greater activation during ABM relative to semantic memory will be contaminated by the region which showed reduced activation during semantic memory relative to rest but no activation during ABM relative to rest. This contamination will be removed by the contrast of ABM vs. rest. Therefore, the overlap between the contrast of ABM vs. rest and the contrast of ABM vs. semantic memory can be regarded as relatively conservative estimate of brain activation unique to ABM.

METHODS

Subjects

Twenty one volunteers (10 males and 11 females), aged 20-35 (mean ± SD; 25.7 ± 5.3) participated in this study. All participants were right-handed and their scores for the Japanese version of the Edinburgh handedness inventory [21] were all above +80. All participants were free of any psychiatric or neurological illnesses. The experimental procedure was approved by the Medical Ethics Committee of Otowa Hospital, and all participants gave their written informed consent.

Tasks

There were four conditions in the fMRI examination; ABM, semantic memory retrieval, number counting, and rest. During fMRI, 7 epochs of rest, 6 epochs of each task condition (ABM, semantic memory and number counting), each of which lasted 16 s, were presented in the pseudo-random order with a constraint that both the first and the last conditions were rest and never the same condition in a row, and the order was counterbalanced across subjects. The tasks of ABM, semantic memory, and number counting were constructed on the basis of an independent behavioral study on reaction times (RTs) so that averaged RTs were similar between three tasks. Subjects pressed a button whenever they recalled one item which belongs to the assigned category in the cue sentence during ABM and semantic memory, and whenever they counted the even number during number counting. During ABM, the subjects were presented with the following six cue statements one by one for each epoch (1) the food which you have eaten, (2) the person to whom you have a conversation, (3) the television program which you have watched, (4) the place where you have eaten out, (5) the magazine or book you have read, and (6) the place where you did shopping. They were instructed to travel backward from the present moment in order to produce items which belongs to each cue category (e.g. food) as much as possible and press a button with their right index finger each time when one appropriate item came to mind. During semantic memory task the subjects were presented with the following six cue statements one by one for each epoch; (1) bird, for example, pigeon, (2) flower, for example, tulip, (3) carpenter tool, for example, hammer, (4) quadrupedal animal, for example, zebra, (5) tree, for example, pine, and (6) insect, for example, dragonfly. They were instructed to produce items which belong to each cue category (e.g. bird) as much as possible and required to press a button with their right index finger each time when one appropriate item came to mind. During number counting, subjects were presented visually with the statement “push button when you count even numbers, 1111, 1112” (different two successive numbers of four digits were given for each epoch). They were required to count mentally the following number sequentially (1113, 1114, 1115, 1116, ---) and press a button with their right index finger each time when the subjects counted the even number (1114, 1116). During rest condition, subjects were given the statement “try to empty your mind as best as you can” and required to think as little as possible. These cue statements were projected onto a transparent screen, using a personal computer with custom written software and a projector, which the participants viewed through a mirror attached to a head coil. Each cue statement remained on the screen for 16 sec until the next cue was presented. The visual images of the cue statements were balanced across conditions for numbers of characters included in each statement (12.8 ± 1.7 for ABM, 12.8 ± 2.3 for semantic memory, 13 for number counting and rest). The participants were given a full explanation of the experimental details and performed a short version of the task with cue statements not used in the fMRI experiment (e.g. “the place where you had a trip” for ABM, and “fish, for example, tuna” for semantic memory task) in the scanner before real scanning.

Image Acquisition and Analysis

Gradient echo, echo-planar images (TR = 2 s, TE = 50 ms, flip angle = 90 °, FOV = 200 mm, matrix = 64 × 64, slice thickness = 4 mm, gap = 1 mm, 25 axial slices) and a three-dimensional T1 weighted image for anatomical normalization (TR = 11.6 ms, TE = 4.9 ms, flip angle = 8 °, FOV = 220 × 220 mm, matrix = 256 × 256, slice thickness = 1 mm) were obtained using a 1.5-T Siemens Sonata. The first 5 scans were excluded and the remaining fMRI data were analyzed using SPM5. After slice timing correction and realignment, all images were coregistered to the T1 weighted image and spatially normalized (voxel size 2 × 2 × 2 mm) to the T1 template in the MNI space, and smoothed with a 7-mm FWHM Gaussian filter. High pass temporal filtering with 128 s was applied and serial autocorrelations were modeled with the AR (1) model in SPM5. Motion parameters defined by the realignment procedure were added to the model as six regressors of no interest. The data of each condition (ABM, semantic memory, number counting, and rest) were modeled by a boxcar convolved with a canonical hemodynamic response function (HRF). The numbers of responses during each task period (ABM, semantic memory, and number counting) were included as a linear parametric modulation in order to remove the effects related to the number of responses. The contrasts of each task condition compared with rest were computed. Parameter estimates of these contrasts for each subject were subjected to a flexible factorial ANOVA design in SPM5. The first interest of the present study was to examine which parts of activation and which parts of less activation during ABM were overlapped with the DMN. For this purpose, greater activation during ABM (ABM > rest) and less activation during ABM (ABM < rest) were overlaid on less activation during semantic memory (semantic memory < rest) and on less activation during number counting (number counting < rest). The second purpose was to extract the brain regions which are specifically related to ABM. For this purpose, we delineated the overlap between the contrast of ABM vs. rest and the contrast of ABM vs. semantic memory due to a reason described in the introduction. The statistical threshold was set at p < 0.05, corrected for multiple comparisons using false discovery rate, and a cluster extent threshold of 20 contiguous voxels.

RESULTS

Behavioral Results

The numbers of button presses (mean ± SD) during one epoch (16 s) for each task condition was 6.8 ± 1.4 for ABM, 6.5 ± 1.5 for semantic memory, and 6.4 ± 1.4 for number counting. The RTs was 2.4 ± 0.46 s for ABM, 2.6 ± 1.1 s for semantic memory, and 2.7 ± 0.72 s for number counting. Those data were subjected to a repeated measures ANOVA. There was no significant difference between the three conditions for numbers of button presses (F (2, 19) = 0.9, p = 0.40) and for RTs (F (2, 19) = 1.9, p = 0.18).

FMRI RESULTS

The brain regions which showed greater activation during ABM compared with other condition, namely, rest, semantic memory, and number counting are shown in Fig. (1). The brain regions which showed less activation during ABM, semantic memory, and number counting, relative to rest, are shown in Fig. (2). In order to visualize which parts of greater activation and less activation during ABM relative to rest overlapped with the DMN, they were shown simultaneously with the regions which showed less activation during semantic memory and number counting relative to rest. These maps are shown in Fig. (3), where the overlap between greater activation during ABM (ABM > rest) and less activation during semantic memory (semantic memory < rest) or number counting (number counting < rest) are shown in yellow color, and the overlap between less activation during ABM (ABM < rest) and less activation during semantic memory or number counting are shown in light blue. There was a high level of overlap between greater activation during ABM and less activation during number counting; extensive areas including bilateral posterior cingulate gyrus, left dorsal premotor area, left ventromedial PFC, left hippocampal region, left inferior parietal lobule, left middle temporal gyrus, and left inferior frontal gyrus showed greater activation during ABM and less activation during number counting (Fig. 3, Table 1b). However, there was a relatively little overlap between greater activation during ABM and less activation during semantic memory; bilateral posterior cingulate gyri, left precuneus, left ventrolateral PFC, and left inferior parietal lobule showed greater activation during ABM and less activation during semantic memory (Fig. 3, Table 1a). This is consistent with our prediction that less activation during semantic memory will reveal a limited part of the DMN, since semantic memory is related to a certain level of personal relevance. A sizable portion of the less activation during ABM overlapped with less activation during both semantic memory and number counting; extensive brain regions including bilateral paracentral lobules extending to the anterior part of the precuneus, bilateral inferior parietal lobules, bilateral posterior insula extending to the superior temporal gyri, right premotor area, right ventrolateral PFC, and right frontopolar cortex showed less activation during ABM, semantic memory, and number counting (Fig. 3, Table 2a, b). In particular, a large cluster including precuneus and paracentral lobule with a right side dominance was found in the medial parietal region (8068 voxels for ABM < rest & semantic memory < rest, 8078 voxels for ABM < rest & number counting < rest), and it situated dorsally to the cluster in the medial parietal area which showed the overlap between greater activation during ABM and less activation during semantic memory or number counting (Fig. 3).

Fig. (1).

Regions which showed greater activation during ABM relative to rest, semantic memory and number counting, superimposed on the axial images of the MNI T1 template. SEM = semantic memory; REST = rest. NC = number counting.

Fig. (2).

Regions which showed less activation during ABM, semantic memory and number counting, superimposed on the axial images of the MNI T1 template.

Fig. (3).

Regions which showed greater/less activation during ABM in relation to the DMN, superimposed on the axial images of the MNI T1 template. red = ABM > REST; blue = ABM < REST; green = SEM < REST or NC < REST; yellow = overlap between ABM > REST and SEM < REST or that between ABM > REST and NC < REST; light blue = overlap between ABM < REST and SEM < REST or that between ABM < REST and NC < REST.

Table 1.

Greater Activation During ABM Overlapped with Less Activation During SEM and NC

(a).

(ABM > REST) & (SEM < REST)

Anatomical area BA side x y z z score voxels
Posterior cingulate gyrus 31 L -10 -54 22 5.6 284a
30 R 8 -54 16 4.6 284a
Precuneus 7 L -6 -64 26 4.3 284a
Ventromdial PFC 11 L -6 50 -10 4.2 116
Inferior parietal lobule 40 L -42 -68 38 3.9 80b
39 L -44 -64 28 3.1 80b
(b).

(ABM > REST) & (NC < REST)

Anatomical area BA side x y z z score voxels
Posterior cingulate gyrus 30 L -8 -56 16 Inf 2748a
30 R 4 -54 10 5.9 2748a
29 R 10 -46 4 5.6 2748a
Premotor area 8 L -26 24 48 5.6 635
Cerebellum R 12 -84 -36 5.4 108
Ventromdial PFC 11 L -4 52 -12 4.9 262
Hippocampal region 27 L -24 -22 -8 4.4 312
Inferior parietal lobule 40 L -38 -68 38 4.0 173
Middle temporal gyus 21 L -54 -38 -6 4.0 81
Inferior frontal gyrus 47 L -40 34 -10 3.7 220
Fusiform gyrus 37 L -40 -62 -22 3.6 32
Frontopolar cortex 10 L -24 62 10 3.5 31
Lingual gyrus
Inferior temporal gyrus
8 L -4 -86 -8 3.4 24
8 R 28 18 46 3.8 33
21 L -62 -10 -18 3.4 20

Voxels labelled by superscript suffix of the identical alphabet belong to one identical cluster.



Table 2.

Less Activation During ABM Overlapped with Less Activation During SEM and NC

(a).

(ABM < REST) & (SEM < REST)

Anatomical area BA side x y z z score voxels
Paracental lobule 5 R 6 -24 48 6.6 8068a
Precuneus 7 R 10 -40 50 6.3 8068a
Inferior parietal lobule 39 R 66 -26 34 6.1 2821b
40 R 58 -48 36 4.3 1777c
40 L -66 -38 36 4.8 856d
Precentral gyrus (MI) 4 R 24 -38 66 6.0 8068a
Postcentral gyrus (SI) 3,1,2 R 18 -52 68 6.0 8068a
Superior temporal gyrus 38 R 40 0 -16 5.5 2821b
38 L -42 10 -18 4.9 312
Insula   R 42 -12 -6 5.3 2821b
  L -42 -14 -6 4.5 220
Middle occipital gyrus 19 R 52 -72 16 5.5 1777b
19 L -46 -82 16 4.8 856d
18 L -36 -82 10 3.8 413
Premotor area 8 R 6 46 50 5.0 169
Ventrolateral PFC 45 R 50 48 0 4.7 33
Frontopolar cortex 10 R 20 62 18 4.5 201
Middle temporal gyrus 37 L -62 -58 0 4.2 66
Cerebellum L -2 -44 -38 3.6 98
(b).

(ABM < REST) & (NC < REST)

Anatomical area BA side x y z z score voxels
Paracental lobule 5 R 6 -24 48 6.6 8078a
Precuneus 7 R 10 -40 50 6.4 8078a
Inferior parietal lobule 40 R 66 -26 34 6.1 3445b
40 L -62 -50 40 4.4 131
Precentral gyrus (MI) 4 R 24 -38 66 6.0 8078a
Postcentral gyrus (SI) 3,1,2 R 18 -52 68 6.0 8078a
Superior temporal gyrus 38 R 40 0 -16 5.5 3445b
38 L -42 10 -18 4.9 1281c
Insula R 42 -12 -6 5.3 3445b
L -42 10 -18 4.5 1281c
Premotor area 8 R 6 46 50 5.0 698d
Frontopolar cortex 10 R 20 64 22 4.7 698d
Middle occipital gyrus 19 L -46 -82 16 4.8 1773e
18 L -36 -82 10 3.8 1773e
Inferior temporal gyrus 21 L -60 -58 -2 4.6 145
20 R 48 -20 -24 3.4 50
Ventrolateral PFC 45 R 58 28 6 3.7 184
Cerebellum L -2 -44 -38 3.6 48

Voxels labelled by superscript suffix of the identical alphabet belong to one identical cluster.



ABM-specific activation, which was defined as the overlap between the contrast of ABM vs. rest and the contrast of ABM vs. semantic memory, was found in the left-lateralized brain regions including posterior cingulate gyrus/retrosplenial cortex, dorsal premotor area, ventromedial PFC, precentral gyrus, inferior parietal lobule, middle temporal gyrus, superior temporal gyrus, and frontopolar cortex (Fig. 4, Table 3). All of them except dorsal premotor area and middle temporal gyrus fell within the areas that showed less activation during number counting (compare Fig. 3 and Fig. 4). Contrast effect across conditions (ABM, semantic memory, and number counting) at the voxel of peak activation is shown in Fig. (5). All of the ABM-specific activation except for dorsal premotor area and middle temporal gyrus showed large negative contrast effect during number counting, suggesting that most of the ABM-specific activation were located within the DMN.

Fig. (4).

The overlap of the contrast of ABM > REST and the contrast of ABM > SEM, superimposed on the axial images of the MNI T1 template. FPC, frontopolar cortex; DPM, dorsal premotor area; IPL, inferior parietal lobule; MTG, middle temporal gyrus; RS, retrosplenial cortex; PCG, posterior cingulate gyrus; STG, superior temporal gyrus; and VMPFC, ventro-medial prefrontal cortex.

Table 3.

ABM-Specific Areas (ABM > REST & ABM > SEM)

Anatomical area BA side x y z z score voxels
Posterior cingulate gyrus 30 L -8 -56 16 Inf 1754a
31 L -6 -40 36 3.5 72
30 R 6 -54 10 5.7 1754a
Retrosplenial cortex 29 R 10 -46 4 5.6 1754a
Cerebellum R 38 -56 -46 6.3 100
Dorsal premotor area 8 L -38 2 54 6.0 1163
8 R 30 16 46 3.6 34
Ventromedial PFC 11 L -4 52 -14 5.1 496
Precentral gyrus 4 L -38 -22 64 4.8 21
Inferior parietal lobule 39 L -42 -68 36 4.7 327
Middle temporal gyus 21 L -58 -24 -2 4.6 664
Superior temporal gyrus 38 L -50 20 -20 4.1 30
Frontopolar cortex 10 L -22 62 10 3.3 44

Voxels labelled by superscript suffix of the identical alphabet belong to one identical cluster.

Fig. (5).

The contrast effect of each task condition (ABM, SEM, and NC) compared to REST in the local maxima for the overlap between AMB > REST and ABM > SEM, which correspond to the intersection of lines in the lower panels. Bars represent the limit of the 90% confidence interval around the mean. DPM, dorsal premotor area; IPL, inferior parietal lobule; MTG, middle temporal gyrus; RS, retrosplenial cortex; PCG, posterior cingulate gyrus; and VMPFC, ventro-medial prefrontal cortex.

DISCUSSION

There was a relatively large degree of overlap between greater activation during ABM and the DMN which was delineated by less activation during number counting. Extensive part of less activation during ABM also overlapped with less activation during number counting. These results show that both greater activation and less activation during ABM considerably overlapped with the DMN, suggesting that DMN is constituted of heterogeneous components with respect to ABM. The overlap between greater activation during ABM and less activation during number counting was found in the areas including the posterior cingulate gyrus, ventromedial PFC, hippocampal region, and inferior parietal lobule, suggesting that these regions are the DMN components associated with ABM. On the other hand, the overlap between less activation during ABM and less activation during number counting was found in the areas including the paracentral lobule extending into the precuneus and into the pre/post central gyrus (M1/S1), inferior parietal lobule, posterior insula extending into the superior temporal gyrus, most of which were also deactivated during semantic memory. Although the function subserved by these regions is unclear, they may represent the DMN component which is deactivated during any sorts of explicit task involving stimulus-oriented cognitive processes. This possibility can be reinforced by future studies showing that these regions also show less activation during other tasks which are known to increase activities of the DMN such as social cognition [14, 15, 16] and imagining the thought and feeling of others (theory of mind) [14]. Alternately, MI/SI and posterior insular, in particular, might be related to processing of interoceptive sensory information such as somatic, proprioceptive, and visceral sense [22]. Deactivation of the DMN including these areas during discomfort and unpleasant gastric extension was reported in a recent study, which was interpreted as an adaptive antinociceptive response or shift from exteroceptive to interoceptive sensory processing [23]. A recent functional connectivity analysis also indicated that anterior dorsal precuneus exhibits functional connectivity with sensorimotor region and insula [24]. The cluster in the medial parietal region including the precuneus and paracentral lobule which is a component of the overlap between less activation during ABM and less activation during number counting was located dorsally to the cluster in the medial parietal region including the posterior cingulate gyrus and retrosplenial cortex which is a component of the overlap between greater activation during ABM and less activation during number counting. This may suggest that medial parietal region of the DMN is functionally dissociated into the dorsal part (anterior part of the precuneus and paracentral lobule) and ventral part (posterior cingulate gyrus and retrosplenial cortex), but future studies are necessary in order to elucidate the behavioral and physiological meaning of this functional dissociation.

In the present study, ABM-specific activation was defined as the overlap between the contrast of ABM vs. rest and the contrast of ABM vs. semantic memory. We believe that this definition delineated the ABM-specific region more reliably than previous studies, which investigated the brain activation during ABM task relative to one reference task such as rest or retrieval of semantic memory, due to the reason described above. The ABM-specific activation in the present study was found in the left-lateralized areas including the posterior cingulate gyrus/retrosplenial cortex, dorsal premotor area, ventromedial PFC, precentral gyrus, inferior parietal lobule, middle temporal gyrus, superior temporal gyrus, and frontopolar cortex, which is consistent with previous studies except for the absence of the hippocampal activation [2, 27, 28, 29]. A recent review of event-related fMRI and ERP studies showed that the inferior parietal cortex, especially in the left hemisphere, is associated with successful recollection [30]. On the other hand, lesion study indicated that right-sided frontal and temporal lobe might make a greater contribution to ABM [31]. Electrophysiological study showed that the ABM-related neuronal responses emerged in left frontal at early phase of memory generation and shifted toward the right and posterior direction at late phase when memory was hold [1, 32]. It was also suggested that autobiographical memory associated with a cue word may initially recruit left temporal structures, but later may be more dependent on the right temporal lobe [29]. Although most studies permit participants to fully recollect an event and rate the amount of details after the recollection, the present study instructed participants to produce autobiographical memory as much as possible and press a button successively when one appropriate item came to mind. Therefore, the present task involved early phase of ABM and did not involve later phase such as maintenance and evaluation of the memory trace. This is the probable reason why ABM-specific activation in the present study was left-lateralized. Most of these ABM-specific activation fell within the areas which showed less activation during number counting relative to rest, suggesting that areas of ABM-specific activation are parts of the DMN, although large areas of greater activation during ABM were not overlapped with less activation during number counting and therefore they were present outside the DMN (cf. large area shown red colour in Fig. 3). Activation during ABM outside of the DMN in the present study included the frontoparietal control network such as the rostrolateral PFC, anterior insula, and dorsal anterior cingulate cortex [25]. Spreng et al. [26] recently showed that this frontoparietal control network flexibly couples its activity with either the DMN or dorsal attention network in support of goal-directed cognition. These areas will be engaged to aid in the retrieval process and updating the items being counted in the memory in the present study.

Activation of the hippocampal region did not emerge as belonging to the network unique to ABM. This is because hippocampal region was not activated in the contrast of ABM vs. semantic memory (data not shown), although posterior region of the hippocampus showed greater activation in the contrast of ABM vs. rest (see Fig. 3, z = -10). Recent imaging studies of healthy individuals have reported hippocampal activation in both episodic and semantic retrieval [20, 33]. In particular, Ryan et al. [20] showed that hippocampal activation during semantic memory retrieval which is not contaminated by autobiographical content was similar to that during autobiographical memory retrieval. These neuroimaging findings, which showed that the degree of neuronal responses in the hippocampal area was similar between ABM and semantic memory, apparently contradicts with the clinical finding that hippocampal injury causes disturbances of episodic/autobiographical memory but not of semantic memory [34]. Although some patients with hippocampal lesion may have significant deficits in semantic memory [35-37], it is a general consensus that semantic memory disturbance is much less severe than autobiographical memory loss in hippocampal damage. This discrepancy between neuroimaging finding and the clinical finding can be reconciled when we consider that the hippocampal region is a key node or hub region for ABM but not for semantic memory and therefore hippocampal damage causes disturbance of ABM sparing semantic memory. Even though the hippocampal activation is similar between ABM and SEM, the hippocampal region appears to be anatomically pivotal only for ABM. Similar suggestion regarding the discrepancy between functional imaging studies and lesion studies was discussed by the concept of degeneracy which proposes a limited number of specialized systems for the same function [38].

The present study has several limitations. First, subject’s responses were simple button press, and therefore the appropriateness of the responses could not be fully guaranteed. Second, different categories were used between ABM and semantic memory and therefore those retrieval tasks were not well matched. Third, since there were only 6 trials whose duration was 96 s in total for each task condition, statistical power will be relatively small due to a rather small number of samples. For example, the finding that the hippocampal region did not emerge as belonging to ABM-specific network should be interpreted with caution.

CONCLUSION

We delineated the overlap between the DMN and greater/less activation during ABM in order to reveal components of the DMN which are related to ABM and those, which are unrelated to ABM. Less activation as well as greater activation during ABM overlapped considerably with the DMN, suggesting that the DMN is functionally segregated to the regions which are associated with ABM, such as posterior cingulate gyrus and retrosplenial cortex, and those which are unrelated to ABM, such as anterior precuneus and paracentral lobule. We further localized ABM-specific regions by extracting the overlap between activation during ABM relative to rest, and that relative to semantic memory. They were observed in the left-lateralized brain regions including posterior cingulate gyrus/retrosplenial cortex, dorsal premotor area, left ventromedial prefrontal cortex, and middle temporal gyrus, and most of them were located within the DMN.

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