Elsevier

NeuroImage

Volume 55, Issue 2, 15 March 2011, Pages 788-793
NeuroImage

Parietal activity in episodic retrieval measured by fMRI and MEG

https://doi.org/10.1016/j.neuroimage.2010.11.078Get rights and content

Abstract

Understanding the functional role of the left lateral parietal cortex in episodic retrieval requires characterization of both spatial and temporal features of activity during memory tasks. In a recent study using magnetoencephalography (MEG), we described an early parietal response in a cued-recall task. This response began within 100 milliseconds (ms) of the retrieval cue and lasted less than 400 ms. Spatially, the effect reached significance in all three anatomically defined left lateral parietal subregions included in the study. Here we present a multimodal analysis of both hemodynamic and electrophysiologic responses in the same cued-recall paradigm. Functional MRI (fMRI) was used to more precisely reveal the portion of the parietal cortex with the greatest response. The MEG data set was then reanalyzed to show the early MEG time course of the region identified by fMRI. We found that the hemodynamic response is greatest within the intraparietal sulcus. Further, the MEG pattern in this region shows a strong response during the first 300 ms following the cue to retrieve. Finally, when individual-dipole MEG activity is analyzed for the left cortical surface over the early 300-millisecond time window, significant recall-related activity is limited to a relatively small portion of the left hemisphere that overlaps the region identified by fMRI in the intraparietal sulcus.

Research Highlights

► fMRI and MEG show increased left lateral parietal activity with episodic retrieval. ► Peak fMRI response localizes to the intraparietal sulcus. ► MEG retrieval response in intraparietal sulcus is early and transient (0–300 ms). ► Parietal activity in cued recall is consistent with top-down attention to memory.

Introduction

Recent efforts to assign a functional role for the prominent activations in left lateral parietal cortex during episodic retrieval tasks have produced competing hypotheses. One hypothesis holds that retrieved information is stored in an “episodic buffer” supported by the left parietal cortex (Baddeley, 2000, Vilberg and Rugg, 2008a, Wagner et al., 2005). Another hypothesis states that left parietal cortex participates in directing attention internally to memory search (Cabeza, 2008, Ciaramelli et al., 2008). Others have proposed that parietal cortex does not directly participate in retrieval and instead reflects the subjective experience of recollection (Ally et al., 2008).

The relatively high spatial resolution of functional magnetic resonance imaging (fMRI) has provided evidence for a further functional dissociation between left hemisphere dorsal parietal and ventral parietal cortex. In particular, ventral parietal activity has been associated with the episodic buffer. Some have questioned dorsal parietal involvement in retrieval, suggesting it may only reflect “processes downstream of retrieval” (Vilberg and Rugg, 2008a, Vilberg and Rugg, 2008b). Under the attention to memory hypothesis, however, ventral parietal activity arises from attentional capture by retrieved information in an automatic, bottom-up process, and dorsal parietal activity supports goal-driven, top-down direction of attention to retrieval (Cabeza, 2008, Ciaramelli et al., 2008).

We recently proposed that these functional hypotheses could be distinguished by the timing of the parietal response (Seibert et al., 2011). Episodic buffer, subjective experience of recollection, and bottom-up attention all require that at least some information has already been retrieved. Top-down attention to memory search, on the other hand, must begin prior to retrieval, and is consistent with an early parietal response. Using magnetoencephalography (MEG) in a cued-recall task, we observed a response in left posterior parietal cortex that began within 100 milliseconds (ms) of the cue and resolved in less than 400 ms. This early and transient activity increase is most consistent with an attentional role. However, the pattern of activity in the three anatomically-defined subregions probed in the study was fairly similar and did not show a dissociation of dorsal and ventral parietal cortices.

Both location and timing are required to characterize parietal activity in retrieval paradigms and improve understanding of its function. Dissociable spatial patterns within the parietal cortex have been observed with fMRI, but the hemodynamic response offers very limited information on timing. Conversely, our MEG results have revealed an early parietal response, but no clear dissociation was observed between the superior and inferior anatomical subregions probed in the study. While fMRI and MEG may measure different aspects of brain activity, both modalities provide important functional insights. The advantage of a multimodal approach is the opportunity to leverage both the spatial resolution of fMRI and the temporal resolution of MEG to investigate retrieval activity in the same region of parietal cortex.

In this manuscript, we present results from a combined analysis of a previously unpublished fMRI data set and our MEG data. We acquired BOLD functional data from subjects performing the same paradigm used in our previous MEG study (Seibert et al., 2011). We expected the hemodynamic response would reveal one or more significant activations within the left lateral posterior parietal cortex. Those regions could then be used as masks for our MEG data to give insight into the temporal dynamics of neural activity in the functional regions of interest (ROI). We hypothesized that this multimodal analysis would confirm MEG findings of recall-associated activity in dorsal and ventral parietal subregions, while painting a more precise picture of the spatiotemporal dynamics of the left lateral parietal response in episodic retrieval.

Section snippets

Participants

Sixteen healthy, right-handed adults participated in this study. Twelve subjects (mean age: 23.8 ± 3 years; five male) participated in the fMRI study, and eleven subjects (mean age: 23.7 ± 3 years; six male) participated in the MEG study. Seven subjects participated in both the fMRI and MEG studies; of these, four had fMRI first. These studies were approved by the institutional review board of the University of California, San Diego. The subjects gave informed consent prior to the experiment and

fMRI behavioral results

Mean reaction times (± standard error) from the fMRI experiment were 1743 ± 59 ms for recall-classify, and 1191 ± 46 ms for classify trials, representing a significant difference (p < 0.001, two-tailed t-test), similar to previous studies with this task (Israel et al., 2010, Seibert et al., 2011).

A subject response was recorded within the specified response period in 94% of trials. Of these trials, subjects responded correctly in 97 ± 1% of classify trials and 90 ± 4% of recall-classify trials (mean ± 

Discussion

Taking advantage of the complementary strengths of fMRI and MEG, we have described a parietal response to episodic retrieval that is centered on the intraparietal sulcus and has an early, transient time course. Vertex-wise analysis of fMRI data over the left lateral parietal cortex localized the peak region of greater recall-classify activity to the border between the superior and inferior anatomical atlas ROIs, in the intraparietal sulcus. The region identified by localization of the

Conclusions

Taken together, these findings offer convergent, multimodal evidence for involvement of the intraparietal sulcus in recall and suggest that this region contributes to pre-retrieval processes, such as orienting attention to memory search. The power of integrative analyses in evaluating functional hypotheses is demonstrated by the observation that only one of the several proposed roles for lateral parietal cortex (top-down attention to memory search) is clearly consistent with the parietal

Acknowledgments

The authors would like to thank the staff at the Center for Functional MRI and Radiology Imaging Laboratories for their assistance with fMRI and MEG acquisition, respectively. We would also like to thank Sanja Kovacevic, Ksenija Marinkovic, Eric Halgren, Anders Dale, and Christine Smith for suggestions for data analysis.

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