Abstract
The perirhinal and entorhinal cortices are critical components of the medial temporal lobe (MTL) declarative memory system. Study of their specific functions using blood oxygenation level-dependent (BOLD) functional magnetic resonance imaging (fMRI), however, has suffered from severe magnetic susceptibility signal dropout resulting in poor temporal signal-to-noise (tSNR) and thus weak BOLD signal detectability. We have demonstrated that higher spatial resolution in the z-plane leads to improved BOLD fMRI signal quality in the anterior medial temporal lobes when using a 16-element surface coil array at 3 T (Tesla). Using this technique, the present study investigated the roles of the anterior medial temporal lobe, particularly the entorhinal and perirhinal cortices, in both object and spatial memory. Participants viewed a series of fractal images and were instructed to encode either the object's identity or location. Object and spatial recognition memory were tested after 18-sec delays. Both the perirhinal and entorhinal cortices were active during the object and spatial encoding tasks. In both regions, object encoding was biased to the left hemisphere, whereas spatial encoding was biased to the right. A similar hemispheric bias was evident for recognition memory. Recent animal studies suggest functional dissociations among regions of the entorhinal cortex for spatial vs. object processing. Our findings suggest that this process-specific distinction may be expressed in the human brain as a hemispheric division of labor.
Studies in rodents and monkeys are suggestive of a process-specific division of labor within the perirhinal and entorhinal cortices. For example, electrophysiological and lesion studies in rodents show that within the entorhinal cortex more medial subdivisions receive and process spatial information, whereas lateral regions receive and process object-related information (Fyhn et al. 2004; Hafting et al. 2005; Hargreaves et al. 2005; Seffenach et al. 2005; Kerr et al. 2007).
Correspondingly, in the monkey, the dorsal and ventral visual processing streams have different projection paths along the rostro-caudal extent of the parahippocampal cortex, perirhinal, entorhinal cortex and throughout the perforant pathway to the hippocampus (Suzuki and Amaral 1994, 2004; Suzuki et al. 1997; Burwell 2000; Munoz and Insausti 2005). Superimposed upon this rostro-caudal topography are medial to lateral afferent projection gradients within both perirhinal and entorhinal cortices (Saleem and Tanaka 1996; Mohedano-Moriano et al. 2007). Although functional dissociations between the medial and lateral regions of these cortical structures have yet to be demonstrated, the anatomical connectivity is suggestive of a medial to lateral functional distinction in the monkey similar to that found in rodents.
In humans, both neuropsychological (e.g., Kimura 1963; Milner 1972; Glosser et al. 1995; Jones-Gotman et al. 1997; Bohbot et al. 2000; Kelley et al. 2002; Kennepohl et al. 2007) and neuroimaging (e.g., Moscovitch et al. 1995; Martin et al. 1997; Bellgowan et al. 1998; Kelley et al. 1998; Sommer et al. 2005) studies have documented material and process-specific distinctions in the medial temporal lobe (MTL). In contrast to the animal studies, however, these reports indicate that human MTL functional dissociations are primarily associated with differences in hemispheric laterality, with left MTL processing meaningful or linguistic information and right MTL processing spatial information.
In addition to these lateralized differences, distinctions in human memory function have also been reported that follow proposed connectivity to spatial and object processing regions. Specifically, we recently reported that the parahippocampal cortex, which is known to receive greater input from spatial processing areas (posterior parietal and retrosplenial cortex) than object processing areas (ventral occipitotemporal cortex), showed preferential processing of spatial over object information (Buffalo et al. 2006). We also observed activity in perirhinal cortex for both object and spatial encoding. However, neither within region nor lateralized functional distinctions was observed. Interpretation of these negative topographical findings must be tempered by the fact that low signal-to-noise ratio (SNR) and high signal dropout have plagued neuroimaging studies of perirhinal and entorhinal cortices. To combat this problem, we used multichannel imaging at higher spatial resolution to enhance the temporal signal-to-noise ratio (tSNR) in the anterior MTL and improve signal detection of both entorhinal and perirhinal cortices (Bellgowan et al. 2006).
Improved imaging of these regions allows us to evaluate two important questions regarding functional dissociations within the MTL. First, do perirhinal and entorhinal cortices make unique contributions to memory encoding and recognition of object and spatial information? Second, is there a hemispheric division of labor in these structures as suggested by neuropsychological investigations?
Figure 1A depicts the behavioral paradigm used in the current study. In a blocked design, Object and Spatial memory tasks that included Encoding, Post-Encoding, Recognition, and Post-Recognition phases were alternated. During the Encoding and Recognition phases of both tasks, a sequence of six fractal images was presented. The Object memory task required memory and later recognition of specific fractal images regardless of location, whereas the Spatial task required encoding and later recognition of the location in which the fractals were presented.
Results
Behavioral data
Recognition memory performance did not differ between tasks based on percent correct (78% Object; 75% Spatial), or d′ (Object d′ = 2.14; Spatial d′ = 2.06).
Imaging data
Results of the group ANOVA for voxel clusters passing a corrected P < 0.05 threshold are summarized in Table 1. Anterior MTL structures including the anterior parahippocampal cortex, entorhinal, and perirhinal cortices all showed activation for the main effects of Task and Phase and for the interaction of Task × Phase. The directions of these effects were then investigated using the simple main effects and a priori means contrast maps. The brain image in Figure 2 depicts the simple main effect for Encoding (both encoding tasks vs. baseline) using the Mixed-Effects ANOVA thresholded at a corrected P < 0.05. This figure reveals significant activation in the hippocampus and MTL cortical regions including the perirhinal and entorhinal cortices. The Encoding Simple Main Effect map could represent either both encoding tasks greater than the scrambled baseline or either encoding task greater than scrambled baseline. To both determine the contribution of each encoding task to the overall Encoding Simple Main Effect and provide an estimate of the shape of the blood oxygenation level-dependent (BOLD) response during each task, estimated impulse response functions (IRF) were evaluated using voxels within the hippocampus, entorhinal, and perirhinal cortices that showed significant Encoding effects. The IRFs from these voxels were then extracted for both the Object and Spatial encoding tasks to show the strength of this effect for each task. The hippocampus, entorhinal, and perirhinal cortices all show increased BOLD responses for both the Object and Spatial encoding tasks (all Ps < 0.05, corrected; for each task vs. baseline, see Fig. 2).
Table 1.
P < 0.05; corrected.
(L) A significant effect in the left hemisphere; (R) a significant effect in the right hemisphere.
Maps of the a priori group contrast of means between the Object and Spatial tasks during both Encoding (Fig. 3A) and Recognition (Fig. 3B) are presented in Figure 3. Results are consistent with Buffalo et al. (2006) showing preferential activation during Object Encoding in posterior regions of the parahippocampal cortex with an anterior region of the parahippocampal cortex, just posterior to the perirhinal cortex, showing greater activation during Spatial Encoding. Anterior temporal regions including the perirhinal and entorhinal cortex show biased lateralized activity with more left activity for Object Encoding and more right hemisphere activity for Spatial Encoding. Additionally, both the amygdala and anterior hippocampus show differential encoding-related activity. The amygdala activity was limited to encoding of Objects with no significant activity for Spatial Encoding. Hippocampus activity showed preferential anterior hippocampal activity for Object Encoding compared to Spatial Encoding.
Analysis of the Recognition-related activity showed no clusters of activation surviving the multiple comparisons correction for the contrast between Object and Spatial Recognition in the entorhinal or perirhinal cortex. This null result may reflect the high level of anatomical intersubject variability that can be detrimental to detecting spatial activation patterns when standard stereotaxic registration is performed (Miller et al. 2005). To further explore Recognition-related activity, we created individual subject maps of the Object vs. Spatial Recognition conditions (Fig. 4). Statistically corrected individual maps (see Fig. 4) show that within individuals, both the entorhinal and perirhinal cortex participate in Object and Spatial Recognition. Activation maps in Figure 4 have been masked so as to only show activation surviving multiple comparisons correction in the entorhinal and perirhinal cortex.
To quantify the degree of lateralization, we tabulated laterality indices (see Materials and Methods) for the Object vs. Spatial Encoding contrast (see Fig. 5A,B). ANOVA performed on the nontabulated laterality volume measures showed a significant interaction of Task by Hemisphere (F(1,13) = 7.143; P < 0.05) with more active tissue in the left hemisphere during Object Encoding (t(1,13) = 5.176; P < 0.05) and more voxels in the right hemisphere active for spatial encoding (t(1,13) = 4.684; P < 0.05) in the perirhinal cortex (Fig. 5A). A similar trend is evident for the nontabulated laterality volumes in the entorhinal cortex (Fig. 5B) and hippocampus although the laterality differences failed to reach statistical significance (P < 0.11 [Object > Spatial]; P < 0.42, respectively). The amygdala showed no significant differential lateralization during Object Encoding. Tabulated recognition laterality indices are depicted in Figure 5, C and D. Analysis of nontabulated laterality volume measures performed on the Recognition data also showed a significant Task by Hemisphere interaction (F(1,13) = 7.004; P < 0.05) in perirhinal cortex (Fig. 5C) that mirrored the Encoding effect; more active tissue in the left hemisphere for Object encoding, more active tissue in the right hemisphere for Spatial encoding.
Discussion
Distinguishing the roles of specific MTL structures in long-term memory is a major goal in the study of memory. The hippocampus is the most studied of these regions as it serves a primary role in the encoding and time-limited retrieval of both object and spatial memory (Squire and Zola-Morgan 1991; Squire et al. 2004). The most prominent pathway into the hippocampus is the perforant pathway initiated in the entorhinal cortex. Anatomical connectivity of the hippocampus, parahippocampal cortex, perirhinal, and entorhinal cortices with the dorsal and ventral processing streams suggests that different neural circuits exist for processing object (ventral stream) and spatial (dorsal stream) memories (Suzuki and Amaral 1994, 2004; Suzuki et al. 1997; Burwell 2000; Munoz and Insausti 2005). Using the same stimuli and procedure as used in the present study, we previously reported that activity in the most anterior portion of the parahippocampal cortex, posterior to the perirhinal cortex, was greater for spatial than object encoding, while activity in the perirhinal cortex was equal for both object and spatial encoding. The present study confirmed and extended these findings using higher spatial resolution to reduce susceptibility-related signal dropout and improve tSNR in the MTL (Bellgowan et al. 2006). By carefully titrating our tasks (see Materials and Methods) to produce equivalent object and spatial recognition memory performance in the present as well as our previous study, we can rule out the possibility that the task-related differences in neural activity that we observed were contaminated by differences in task difficulty. However, because the composition of the recognition blocks in both tasks contained novel and repeated stimuli, encoding of the novel stimuli may have contaminated the task-related differences in neural activity seen during the recognition phases.
The perirhinal cortex is a major projection area to and from the entorhinal cortex (Mohedano-Moriano et al. 2007). If this connection is a component of the long-term memory system, it logically follows that the entorhinal cortex, like the perirhinal cortex, would participate in both forms of memory unless either form of information is carried through direct projections from the perirhinal cortex to the hippocampus. The present findings show that, like perirhinal cortex, the entorhinal cortex is active for both object and spatial encoding. Rather than complete lateralization, both regions showed biased hemispheric lateralization of function. Relative rather than complete lateralization suggests that task context biases lateralized processing of existing bilateral connections of the appropriate object or spatial processing circuitry.
This functional lateralization may be related to the traditional left/right MTL memory lateralization for verbal and nonverbal material, respectively, as documented by a large body of neuropsychological (e.g., Kimura 1963; Glosser et al. 1995; Bohbot et al. 2000; Kelley et al. 2002) and functional neuroimaging (e.g., Martin et al. 1997; Kelley et al. 1998; Martin 1999; O'Kane et al. 2005; Weber et al. 2007) evidence. For example, the left hemisphere bias for encoding object information in the present study could reflect the possibility that, although our stimuli were difficult to verbally encode, subjects may have nevertheless assigned verbal attributes to the fractals during the objects task (e.g., color, spikiness, etc.) to aid memory. In contrast, during the spatial task, the subjects were required to remember only the spatial location, thus biasing memory processing to the right hemisphere.
There is currently considerable debate and controversy concerning how best to characterize the distinct roles that different regions of the MTL play in human memory function. In the context of this debate, Squire and colleagues have recently reintroduced a proposal by Underwood (1969) that memories can be conceptualized as a configural set of stimulus attributes such as verbal associates, stimulus frequency, and temporal/spatial components, and that these components may be processed differentially within the MTL (Squire et al. 2007). Our findings are consistent with this view. Parahippocampal cortex, known to receive a stronger projection from the dorsal than ventral processing stream, showed a spatial memory bias (see also Buffalo et al. 2006), whereas perirhinal and entorhinal cortices, known to receive inputs from both processing streams, are involved in both object and spatial memory. Moreover, these regions show lateralized functioning with a right hemisphere bias for spatial and a left hemisphere bias for object encoding and recognition memory.
Materials and Methods
Participants
Twenty (10 female) right-handed, native English-speaking adults (ages 22–34) participated for ∼2 h in this experiment. All subjects signed informed consent in compliance with the IRB at NIH and were monetarily compensated for their participation. Six subjects were removed from analysis owing to uncorrectable movement artifacts (two) or uncorrectable transient imaging hardware problems (four).
Tasks and stimuli
Participants performed alternating spatial and object memory tasks known to require participation of the MTL (Buffalo et al. 1998, 2006). Buffalo et al. (2006) previously performed a series of strictly behavioral tests, no scanning, using this same task in order to equate the recognition performance of the Object and Spatial memory task. To accomplish this, Buffalo et al. (2006) titrated the number of possible locations in the Spatial memory task so that recognition performances would be equivalent. The final number of possible locations in the Spatial task was 12.
Both tasks consisted of a sequence of four 18-sec blocks including an Encoding block, a Post-Encoding delay, a Recognition memory block, and a Post-Recognition delay interval that served as a baseline (see Fig. 1A). Two of these four-block sequences were repeated for both the Spatial and Object memory tasks during each functional scan. Stimulus presentation parameters were equivalent for both memory tasks. Stimuli for Encoding and Recognition were unique, relatively nonverbalizeable, colored fractal patterns (Miyashita et al. 1991). During the delay blocks, a single scrambled version of a fractal pattern was repeatedly presented. During each block, fractal patterns were presented for 2500 msec with a 500-msec interstimulus interval (ISI).
Prior to scanning, subjects were instructed to memorize fractals and ignore their location for the Object memory task, and to memorize their location while ignoring their identity during the Spatial memory task. During the Encoding and Recognition blocks, the fractals were presented in any of 16 locations distributed throughout the screen. During scanning, subjects were cued to the task with an instruction screen that read “Memorize the Object” before the Object Encoding phase, “Watch the Picture” prior to the delay periods, and “Recall the Object” prior to the Object Recognition phase. The instructions during the Spatial location task were structured identically except that the cues read “Memorize the Location” and “Recall the Location” prior to the Encoding and Recognition phases, respectively. During Recognition blocks, subjects made Old/New forced choice decisions to each stimulus presentation. Half of stimuli were novel, and half were repeats (targets) from the Encoding block (either the same object or same location as studied previously). During Object Recognition blocks, the target stimuli were always in different locations from what had been presented during Object Encoding. During Spatial Recognition blocks, the target stimuli were always different objects from what had been presented during Spatial Encoding. The order of the memory task type (Object or Spatial memory) within a functional scan was counterbalanced across subjects.
Magnetic resonance imaging
Scanning was performed on a 3-T General Electric (GE) Signa VH/3 whole body MRI scanner. This scanner was equipped with a home-built, scalable multichannel MRI digital receiver that allowed use of a head receive-only 16-element surface coil array for signal detection (Bodurka et al. 2004). Sixteen axial slices were aligned to cover most of the temporal lobe (see Fig. 1B). Functional images were collected using a single-shot, full k-space gradient-echo echo-planar (EPI) sequence (TR = 2000 msec, TE = 40 msec, flip angle = 90°, FOV = 200 mm, and in plane resolution 3.125 × 3.125 mm2, slice thickness of 2 mm, and 132 functional volumes). EPI data acquisition was done in parallel across all 16 channels. The resulting 16 images for each slice and each time point were then reconstructed from raw data and combined into a single magnitude combined (square root of the sums squared) image. Four functional scanning series were performed on each subject for a total of eight Spatial and eight Object task cycles. A whole brain high-resolution (FOV = 220 mm, 1.2 mm slice thickness, and in plane resolution 1.0 × 1.0 mm2) anatomical image was acquired using a Magnetization Prepared Rapid Acquisition Gradient-Echo imaging sequence (MPRAGE).
All analyses were performed using AFNI (Cox 1996). Following removal of the first four volumes of each series, the four series were concatenated, motion corrected, blurred with a 2-mm RMS filter, and mean standardized to a value of 100. Individual time series were submitted to a voxelwise multiple regression analysis with six regressors of interest consisting of factorial components of Task (Object, Spatial) and Task Phase (Encoding, Delay, and Recognition). Six motion correction regressors were included as regressors of no interest. The regressors of interest were convolved with a Gamma-variate model (Cohen 1997) to incorporate the hemodynamic delay into the model. Post-Recognition Delay was set as the baseline in this regression analysis. Anatomical regions of interest were created for the entorhinal and perirhinal cortex following the procedure described by Insausti et al. (1998). Additional, anatomical regions of interest mask were created for the hippocampus and amygdala, and parahippocampal cortex (Pruessner et al. 2002). Both individual and group statistical maps were corrected for multiple comparisons using a statistical and volume threshold (Forman et al. 1995) (http://afni.nimh.nih.gov/afni/doc/manual/AlphaSim), where volume correction was calculated based on the total volume of the combined anatomical ROIs (bilateral entorhinal cortex, perirhinal cortex, hippocampus, parahippocampal cortex, and amygdala) and a voxelwise statistical threshold set to P < 0.01.
Object (Object > Spatial) and Spatial (Spatial > Object) task laterality indices were computed for both the Encoding and Recognition phases in the perirhinal and entorhinal cortex and the hippocampus for each subject. The metric for this index was the volume of active tissue surviving a corrected P < 0.05 for the contrast of means between the Object and Spatial task for each respective phase within each anatomically defined region. These volumes were then converted to a laterality index (LI) using the following formula: LI = (L − R)/(L + R), where L depicts the volume of active tissue in the left hemisphere and R depicts the volume of active tissue in the right hemisphere. This index yielded both positive and negative values that reflect degree of left and right hemisphere lateralization, respectively. LIs were categorized into either “Strong” (|LI| > 0.5) or “Weak” (|LI| < 0.5). Both categories were then tabulated for left and right lateralization within each region.
The group analysis consisted of a voxelwise Mixed-Effects group ANOVA with subjects as a random factor and Task (Object, Spatial) and Task Phase (Encode, Delay, Recognition) as fixed factors. The resulting statistical maps were corrected for multiple comparisons (P < 0.05) using the cluster volume by statistical threshold correction method described above.
Acknowledgments
We thank Paula Rowser and Alda Ottley for their assistance in data collection and W. Kyle Simmons for insightful comments. This research was supported by the Intramural Research Program of the NIMH, NIH.
Footnotes
Article is online at http://www.learnmem.org/cgi/doi/10.1101/lm.1357309.
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