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Prefrontal Cortex and Long-Term Memory Encoding: An Integrative Review of Findings from Neuropsychology and Neuroimaging ROBERT S. BLUMENFELD and CHARAN RANGANATH Center for Neuroscience and Department of Psychology, University of California at Davis Recent findings have led to a growing appreciation of the role of the lateral prefrontal cortex (PFC) in episodic long-term memory (LTM). Here, the authors will review results from neuropsychological and neuroimaging studies of humans and present a framework to explain how different regions of the PFC contribute to successful LTM formation. Central to this framework is the idea that different regions within the PFC implement different control processes that augment memory by enhancing or attenuating memory for certain aspects of a particular item or event. Evidence reviewed here suggests that ventrolateral regions of the PFC contribute to the ability to select goal-relevant item information, and that this processing strengthens the representation of goal-relevant features of items during LTM encoding. Dorsolateral regions of the PFC may contribute to the ability to organize multiple pieces of information in working memory, thereby enhancing memory for associations among items in LTM. Thus, dorsolateral and ventrolateral regions of the PFC may implement different control processes that support LTM formation in a complementary fashion. NEUROSCIENTIST 13(3):280–291, 2007. DOI: 10.1177/1073858407299290 KEY WORDS Working, Organization, Selection, Frontal, Lobes, Associative, Episodic, Memory Memorizing phone numbers, remembering past conversations, finding where you left your keys—these are the kinds of daily activities that depend on the ability to form coherent episodic memories. Recent research in neuropsychology and neuroimaging has highlighted the importance of the prefrontal cortex (PFC) in promoting successful episodic long-term memory (LTM) formation, although its precise role remains poorly understood. Here, we will review this evidence and present a theoretical framework for understanding how different regions of the PFC contribute to episodic memory encoding. Central to this framework is the idea that different regions in the PFC implement different control processes that augment memory by enhancing or attenuating certain aspects of a particular item or event. Our review will have three main sections. First, we will begin by discussing results from studies of memory in patients with focal PFC lesions that converge on the idea that specific deficits in cognitive control underlie the LTM impairments in PFC patients. Next, we will review results from neuroimaging studies of cognitive control, which suggest that these different cognitive control processes are performed by distinct PFC regions. Finally, we will review the neuroimaging literature on episodic memory This work was supported by PHS grant 1R01MH068721. Address correspondence to: Robert S. Blumenfeld, UC Davis Center for Neuroscience, 1544 Newton Ct, Davis, CA 95616 (e-mail: roblume @ucdavis.edu). 280 encoding and consider how our framework can help to clarify the role of the PFC in LTM encoding. Effects of Prefrontal Lesions on LTM Encoding Clinicians have long noted that focal prefrontal lesions in humans produce subtle but noticeable memory deficits, and this impression accords well with results from neuropsychological studies (Milner 1962; Stuss and Benson 1986; Shimamura 1995; Ranganath and Knight 2003). In general, patients with PFC lesions show impairments on a wide range of memory tasks that tax executive control during encoding and retrieval. For instance, PFC patients exhibit impaired performance on unconstrained memory tests such as free-recall (Jetter and others 1986; McAndrews and Milner 1991; Eslinger and Grattan 1994; Stuss and others 1994; Moscovitch and Winocur 1995; Wheeler and others 1995; Dimitrov and others 1999; see Box 1). In contrast to healthy control participants, PFC patients tend not to spontaneously cluster or group recall output according to the semantic relationships within a categorized word list (della Rocchetta 1986; Hirst and Volpe 1988; della Rocchetta and Milner 1993; Stuss and others 1994; Gershberg and Shimamura 1995). When presented with several study-recall blocks of the same word list, PFC patients show less consistency of recall output order from trial to trial (i.e., “subjective organization”; see Box 1) compared to controls (Stuss and others 1994; Gershberg and Shimamura 1995; Alexander and others THE NEUROSCIENTIST Prefrontal Cortex and Memory Encoding Volume 13, Number 3, 2007 Copyright © 2007 Sage Publications Downloaded from nro.sagepub.com at UNIV CALIFORNIA DAVIS on January 13, 2016 ISSN 1073-8584 Box 1. Memory Measures in Behavioral Research In behavioral studies, episodic memory is usually assessed by testing memory for lists of items such as words (Ebbinghaus 1885/1964). With this approach, memory can be tested in a number of ways. One is free-recall, in which participants are simply asked to recall as many items as they can remember from the study list. Organizational strategies strongly impact recall performance, and this impact can be measured by analyzing the characteristics of items that are recalled and the order in which they are recalled. For example, if participants are given lists of categorically related words to memorize, they tend to recall semantically related items together even if these items were distributed across the study list. This phenomenon, called semantic clustering, can provide a quantitative index of organization in memory. A related phenomenon, subjective organization, is seen in studies in which the same list is repeatedly studied and tested. In this situation, participants will tend to recall sets of items in the same order across different recall trials. This tendency is thought to reflect the fact that participants form associations between items during encoding, and subsequently make use of these associations to guide retrieval (Sternberg and Tulving 1977). Another paradigm used in many memory studies is “paired-associate learning.” In these studies, pairs of items are studied together, and then memory for these associations is tested. For example, memory for a studied word pair (A-B) can be tested via cued recall (A-?) or associative recognition (AB or A-D?). Relevant to the studies discussed in our review, learning of a previous association (A-B) makes it more difficult to learn a new, overlapping association (A-C) (Barnes and Underwood 1959). This phenomenon is called “proactive interference,” and it may reflect competition between the previously learned association and the new association. Accordingly, overcoming proactive interference requires the engagement of controlled selection processes to resolve this competition. 2003). In addition, patients with PFC lesions exhibit impairments on tests of source memory (Janowsky and others 1989b), memory for temporal order (Milner and others 1985; Shimamura and others 1990; Kesner and others 1994), recency (Milner and others 1991), frequency (Stanhope and others 1998), and associative learning (Shimamura and others 1995; Swick and Knight 1996; Dimitrov and others 1999). Furthermore, PFC patients often lack insight into their own memory problems and fail to spontaneously use common memory strategies (Hirst and Volpe 1988; Janowsky and others 1989a; Moscovitch and Melo 1997; Vilkki and others 1998). In contrast to these deficits, patients with prefrontal lesions can often perform at near-normal levels when given structured encoding tasks or tests that do not tax strategic retrieval processes. For instance, PFC patients perform better at cued-recall compared to free-recall and can perform similarly to control subjects on item recognition (Kesner and others 1994; Stuss and others 1994; Swick and Knight 1996; Dimitrov and others 1999; Alexander and others 2003; but see Wheeler and others 1995). Moreover, patients can show marked improvements on a variety of recall measures if given sufficient practice or environmental support at encoding or retrieval (Hirst and Volpe 1988; della Rocchetta and Milner 1993; Stuss and others 1994; Gershberg and Shimamura 1995). In general, theoretical accounts have stressed that LTM impairments associated with PFC damage arise as a consequence of deficits in control processing rather than from a primary deficit in memory storage (Ranganath and Knight 2003). Some theories emphasize the role of the PFC in “selection” processes that direct attention toward goal-relevant information and task-appropriate responses (for reviews, see Milner and others 1985; Stuss and Benson 1986; Miller and Cohen 2001). Thus, memory deficits may occur in patients with prefrontal lesions because they are unable to select relevant information or inhibit distracting or interfering items or responses during encoding or retrieval (Luria 1966, 1973; Perret 1974; Shimamura and others 1995). One finding consistent with this account comes from a study of paired-associate learning (see Box 1) in patients with focal PFC lesions and matched controls (Shimamura and others 1995). In this study, participants learned a list of word pairs (“A-B”) and then learned an overlapping list of word pairs (“A-C”) across several trials. Recall success on the second list required subjects to inhibit the well-learned A-B pairing and select the appropriate A-C pairing. Consistent with the selection account, patients with PFC lesions showed a significant and disproportionate decrement in recall performance between the first trial of A-B learning compared to the first trial of A-C learning (i.e., a measure of proactive interference). Furthermore, during cued recall for the A-C list, PFC patients recalled fewer appropriate targets and recalled significantly more words from the A-B list. These findings are consistent with the idea that PFC lesions induce difficulties in resolving competition between items in memory, possibly due to impairments of controlled selection processes. Other theories emphasize the role of the PFC in guiding spontaneous organization of information during the encoding and retrieval of memories (Petrides and Milner 1982; Milner and others 1985; della Rocchetta and Milner 1993; Gershberg and Shimamura 1995). Specifically, “organization” refers to memory strategies that emphasize comparison or transformation of relations among items Volume 13, Number 3, 2007 THE NEUROSCIENTIST Downloaded from nro.sagepub.com at UNIV CALIFORNIA DAVIS on January 13, 2016 281 that are to be learned (Bower 1970; Hunt and Einstein 1981). Some common organizational strategies during encoding include categorizing words in a list according to semantic features (Hunt and Einstein 1981), imagining two or more items interacting (Bower 1970), or forming a sentence out of two or more words. Organization during encoding does not facilitate LTM by enhancing features of specific items in memory, but instead promotes memory for associations among items (Bower 1970; Begg 1979; McGee 1980). Accordingly, a number of measures can be used to estimate the impact of organization on LTM performance (see Box 1). In support of the notion that PFC is critical for organization in memory, studies have demonstrated that patients with prefrontal lesions do not spontaneously organize information or make use of effective organizational strategies during encoding or retrieval (Hirst and Volpe 1988; della Rocchetta and Milner 1993; Stuss and others 1994; Gershberg and Shimamura 1995; Alexander and others 2003) and that they show deficits on many memory measures that are sensitive to organization. For instance, Gershberg and Shimamura (1995) compared patients with relatively focal lesions to the dorsolateral PFC and healthy controls on learning of lists of words that were either semantically related or unrelated. Relative to controls, patients were less likely to exhibit subjective organization or semantic clustering (see Box 1) during recall of lists of semantically related words. Interestingly, recall and clustering performance increased for semantically related word lists when patients were explicitly asked to make a category judgment during encoding, or when they were provided with the category names at test, or both. In contrast, healthy controls performed at similar levels regardless of whether they were given encoding instructions or retrieval cues. This pattern of results suggests that patients were capable of using semantic information to guide encoding and retrieval, but they lacked the ability to spontaneously use semantic organizational strategies. In contrast, controls were spontaneously using organizational strategies during encoding and/or retrieval. These findings, and others (Hirst and Volpe 1988; della Rocchetta and Milner 1993; Stuss and others 1994; Alexander and others 2003), are consistent with the idea that LTM deficits following prefrontal lesions may result from a failure to organize information during encoding and capitalize on organizational structure during retrieval. Many researchers have suggested that both selection and organizational processes depend on the functioning of the PFC, and there are several studies that reported findings consistent with both the selection and organizational accounts (Hirst and Volpe 1988; Stuss and others 1994; Gershberg and Shimamura 1995; Shimamura and others 1995; Alexander and others 2003). One question that cannot be addressed by the neuropsychological evidence is whether selection and organization depend upon the same regions of the PFC, because these studies typically used subject groups that have significant heterogeneity in lesion size and location. There are hints in the extant neuropsychological literature to suggest that patients with deficits in subjective organization and recall clustering tend to have damage to the dorsolateral PFC (Eslinger and 282 THE NEUROSCIENTIST Grattan 1994; Gershberg and Shimamura 1995; Alexander and others 2003; but see Stuss and others 1994). Nonetheless, the neuropsychological evidence cannot conclusively resolve this issue because studies have typically used patient groups that have significant heterogeneity in lesion size and location. Functional Neuroimaging of Cognitive Control Several functional magnetic resonance imaging (fMRI) studies have found support for the notion that selection mechanisms and organizational control mechanisms are processed by different regions of the PFC (D’Esposito, Postle, Ballard, and others 1999; Postle and others 1999; Petrides 2000a; Wagner, Maril, and others 2001; Glahn and others 2002; for review, see Fletcher and Henson 2001). Specifically, neuroimaging studies of working memory (WM) and cognitive control have suggested that regions within the ventrolateral PFC (VLPFC: BA ,44,45,47,47/12) and regions in the dorsolateral PFC (DLPFC: BA 9,46) may implement control processes that support memory encoding in a complementary fashion. VLPFC and Selection Processes Results from neuroimaging studies of proactive interference resolution (Jonides and Nee 2006), response inhibition (Aron and others 2004), verb generation (Buckner 2003; Thompson-Schill and others 2005), and semantic and nonsemantic classification (Wagner and Davachi 2001; Badre and others 2005) are consistent with the idea that VLPFC might be particularly important for implementing “selection” processes that direct attention toward goal-relevant information or inhibit the influence of irrelevant information on behavior. Some support for this view has come from studies that used the “recent-probes task” (Monsell 1978) to examine the role of VLPFC in resolving proactive interference. In this task, participants must maintain a set of four letters over a short delay and subsequently evaluate whether a test probe was in the memory set. Proactive interference is manipulated by varying the familiarity of the probes across trials. For instance, on some trials, the probe letter is not in the current memory set but was in the memory set on the previous trial. To perform accurately on these “recent negative” trials, participants must inhibit the high familiarity of the probe to make the correct negative response. Imaging studies have consistently shown that activation in the left mid-VLPFC (BA 44, 45; see Fig. 1) is increased on these trials, relative to trials with nonrecent negative or positive probes (e.g., Jonides and others 1998; D’Esposito, Postle, Jonides, and others 1999; Bunge and others 2001; Mecklinger and others 2003; e.g., Nelson and others 2003; Postle and Brush 2004; Postle and others 2004; Badre and Wagner 2005; see Jonides and Nee 2006 for review). Another line of evidence consistent with the selection account has come from fMRI studies of verb generation and semantic classification (Buckner 2003; Thompson-Schill and others 2005). For instance, one study (ThompsonSchill and others 1997) examined PFC activity associated Prefrontal Cortex and Memory Encoding Downloaded from nro.sagepub.com at UNIV CALIFORNIA DAVIS on January 13, 2016 require less control and that the anterior regions of the VLPFC are additionally recruited during selection tasks that require considerably more control (Gold and Buckner 2002; Gold and others 2005; but see Badre and others 2005). Interestingly, some studies have found that the activation of VLPFC subregions are influenced both by materials and by the amount of controlled selection (Badre and others 2005; Gold and others 2005). This suggests that although both of these accounts have some explanatory power, more research will be required to find the best way to characterize the functions of VLPFC subregions. DLPFC and Organization Fig. 1. Subregions of the human prefrontal cortex (PFC). The dorsolateral prefrontal cortex (DLPFC) (BA 9, 46) is shown in green, and the ventrolateral prefrontal cortex (VLPFC) (BA 44, 45, and 47/12) is shown in red. The blue dashed line indicates the approximate borders between the DLPFC and VLPFC. White dashed lines indicate the approximate borders between the subregions of the VLPFC. with selection processing across three different semantic tasks. Within each task, selection demands were varied within each of these conditions by increasing the competition among response alternatives. For example, in the high selection condition of the comparison task, participants had to compare a target noun (e.g., tooth) to two highly related probe nouns (e.g., tongue and bone) and decide which probe was most similar to the cue along a specific dimension (i.e., color). However, in the low-selection condition, participants could make this comparison based on global similarity between the target and probe words. Across all three tasks, a common region of the left mid-VLPFC (BA 44, 45) exhibited increased activation during blocks of high-selection trials, suggesting a role for this region in the selection of semantic features of items. Results from some fMRI studies have shown that more activation in relatively more anterior and ventral regions of the VLPFC (BA 47/12, 45; see Fig. 1) is enhanced during selection of semantic information, whereas activation in the posterior and dorsal VLPFC regions (BA 44, 6; see Fig. 1) is enhanced during processing of semantic, phonological, or orthographic attributes of words (e.g., Poldrack and others 1999; Bokde and others 2001; Roskies and others 2001; Wagner, Pare-Blagoev, and others 2001; Dobbins and others 2002; McDermott and others 2003; Badre and others 2005; Bunge and others 2005; Dobbins and Wagner 2005; but see Otten and Rugg 2001b and Gold and Buckner 2002). Not all studies, however, have observed this type of material-specific dissociation within the PFC (e.g., Barde and Thompson-Schill 2002). An alternative view that has been proposed is that the extent and location of VLPFC activity depends on the degree of controlled selection that must be engaged (Buckner 2003). Research consistent with this notion has found that posterior regions of the VLPFC show recruitment during selection tasks that Unlike VLPFC, DLPFC is not robustly recruited during tasks that solely require selection of task-relevant information. Instead, evidence from neuroimaging studies suggests that DLPFC is involved in organization—that is, the comparison or transformation of relationships among items that are active in memory (D’Esposito, Postle, Ballard, and others 1999; Postle and others 1999; Wagner, Maril, and others 2001; Barde and Thompson-Schill 2002; Glahn and others 2002; Bor and others 2003; Veltman and others 2003; Cannon and others 2005; Blumenfeld and Ranganath 2006; Crone and others 2006; Mohr and others 2006). For example, DLPFC activation is reported in “manipulation” tasks that involve sequencing of information that is being maintained in WM (D’Esposito, Postle, Ballard, and others 1999; Postle and others 1999; Postle and D’Esposito 1999; Wagner, Maril, and others 2001; Blumenfeld and Ranganath 2006) or monitoring of previous responses when selecting a future response (Petrides 2000a, 2000b; Stern and others 2000). DLPFC activation has also been reported in studies of “chunking” (Bor and others 2003; Bor and others 2004), the process by which multiple separate pieces of information are organized into fewer units of information (Miller and others 1960). One study of verbal WM highlights the selective role of DLPFC in organization (Postle and others 1999). In this study, participants were scanned during three tasks that required maintenance of verbal information across an eight-second delay period. In two conditions, participants had to maintain the identity and the serial position of either two (“forward 2” trials) or five (“forward 5” trials) letters. In the third condition, participants were prompted to rearrange a set of five letters in alphabetical order and to maintain the identity and serial position of the rearranged set of letters (“alphabetize 5” trials). Whereas forward 5 and forward 2 trials differed primarily in terms of the amount of information to be maintained, alphabetize 5 and forward 5 trials differed primarily in the kind of processing that was engaged. Specifically, alphabetize 5 trials placed greater demands on organizational processing, because these trials required participants to use the “alphabetize” rule to transform the serial order relationships among the items. Results from this study showed that, for each subject, DLPFC activation was increased during the delay period of alphabetize 5 trials, as compared with forward 5 trials. DLPFC activation in this study could not be attributed to WM maintenance demands, because it did not Volume 13, Number 3, 2007 THE NEUROSCIENTIST Downloaded from nro.sagepub.com at UNIV CALIFORNIA DAVIS on January 13, 2016 283 significantly differ between forward 2 and forward 5 trials. This pattern of results has been replicated in other studies with verbal (D’Esposito, Postle, Ballard, and others 1999; Wagner, Maril, and others 2001; Barde and Thompson-Schill 2002; Blumenfeld and Ranganath 2006) and spatial (Glahn and others 2002; Mohr and others 2006) stimuli, suggesting that DLPFC activation is more specifically increased during tasks that require organization of information that is active in WM. Additional evidence for the organizational account of DLPFC function comes from neuroimaging studies of “chunking” (Bor and others 2003; Bor and others 2004). For example, in one study, participants were scanned while memorizing a sequence of four spatial locations within a 4 × 4 grid of red squares (Bor and others 2003). Critically, on some trials, the spatial arrays exhibited a coherent structure, in that an element in the sequence was either on the same column, row, or diagonal as the element preceding it. The resulting sequences therefore appeared geometrically regular and were more readily organized into single shapes. In contrast, on other trials, the elements within the sequence did not exhibit any geometric structure. Behavioral performance was higher on structured trials, presumably because participants were able to exploit the structure to organize, or chunk, the spatial sequences. Critically, DLPFC activation was increased on structured, as compared to unstructured, trials even though the structured task was easier. This finding suggests that, rather than simply reflecting nonspecific demands related to task difficulty, DLPFC activation is more specifically sensitive to demands for organizational processing. Functional Neuroimaging of LTM Encoding We began this review by summarizing findings indicating that PFC lesions may impair selection and organization processes that facilitate LTM encoding. Neuroimaging studies of cognitive control have suggested that VLPFC is recruited during tasks that require the selection of specific item information, whereas DLPFC is additionally recruited during tasks that require organizational processing. As we will describe below, these findings may provide critical insights into the ways in which lateral prefrontal regions contribute to successful LTM formation. Subsequent Memory Effects and the PFC Event-related fMRI studies have investigated LTM encoding by identifying “subsequent memory” or “difference due to memory” effects (see Paller and Wagner 2002 for review). In these studies, activation during encoding of a particular item or set of items is analyzed as a function of later memory success or failure. Regions where activation is increased during encoding of items that are subsequently remembered (relative to activation during encoding of items that are subsequently forgotten) are thought to play a role in promoting successful LTM formation. As shown in Figure 2 and Table 1, studies using the subsequent memory paradigm have demonstrated 284 THE NEUROSCIENTIST Fig. 2. Prefrontal activations reported in 37 fMRI studies of long-term memory (LTM) formation. Each green dot represents an activation peak in an analysis that reported increased activation during encoding of items that were subsequently remembered, as compared with items that were subsequently forgotten (i.e., a “subsequent memory effect”). Each red dot represents an activation peak in an analysis that reported increased activation during encoding of items that were subsequently forgotten, as compared with items that were subsequently remembered (i.e., “a subsequent forgetting effect”). Of the 150 local maxima associated with subsequent memory, only 18 fall within the dorsolateral prefrontal cortex (DLPFC) (BA 46 and 9) compared with 132 in the ventrolateral prefrontal cortex (VLPFC) (BA 6, 44, 45, and 47). Furthermore, 10 of the 11 local maxima associated with subsequent forgetting fall within the DLPFC. L = left; R = right. significant prefrontal involvement in LTM encoding. Inspection of the spatial distribution of activation peaks (or “local maxima”) from these studies also suggests that the degree of involvement seems to differ between different PFC subregions. The data provide overwhelming support for the notion that the VLPFC contributes to LTM formation. Out of 150 local maxima associated with subsequent memory within the PFC, 132 fall within the VLPFC. Furthermore, all but two studies that Prefrontal Cortex and Memory Encoding Downloaded from nro.sagepub.com at UNIV CALIFORNIA DAVIS on January 13, 2016 Table 1. Prefrontal Activation in Studies of LTM Encoding A. Remember > Forgotten Contrasts Study Baker and others 2001 Blumenfeld and Ranganath 2006 Brassen and others 2006 Buckner and others 2001 Chee and others 2002 Clark and Wagner 2003 Davachi and others 2001 Dolcos and others 2004 Erk and others 2003 Fletcher and others 2003 Garoff and others 2005 Henson and others 1999 Jackson and Schacter 2004 Johnson and others 2004 Kensinger and Schacter 2005 Kirchhoff and others 2000 Macrae and others 2004 Maril and others 2003 Morcom and others 2003 Otten and Rugg 2001a Otten and others 2001 Otten and others 2002 Prince and others 2005 Ranganath and others 2004 Raye and others 2002 Reber and others 2002 Reynolds and others 2004 Sergerie and others 2005 Sommer and others 2005 Sperling and others 2003 Staresina and Davachi 2006 Summerfield and others 2006 Uncapher and Rugg 2005 Wagner and others 1998 Weis and others 2004 de Zubicaray and others 2005 Study Description Activated Prefrontal Regions Semantic (abstract) vs. structural (uppercase) Organizational processing Item memory and free-recall Encoding during retrieval Word frequency Novel word learning Maintenance vs. elaborative rehearsal Arousal, valence, and emotion Emotional processing Levels of processing Specific vs. general encoding Recollection and familiarity Associative memory Refreshing Emotion and reality monitoring Novelty and content dependency Self-referential processing Feeling of knowing Effect of aging Content dependency Levels of processing Item vs. task processing Associative memory Recollection and familiarity Refreshing Encoding effort Item vs. task processing Emotional processing of faces Object-location associations Face-name associations Associative memory and free recall Face-house associative binding Memory durability Semantic processing Temporal lobe & cerebellum during encoding Word frequency and strength effects VLPFC VLPFC, DLPFC VLPFC, DLPFC VLPFC VLPFC VLPFC VLPFC VLPFC VLPFC VLPFC VLPFC, DLPFC VLPFC VLPFC DLPFC DLPFC, VLPFC VLPFC VLPFC VLPFC VLPFC VLPFC VLPFC VLPFC VLPFC VLPFC DLPFC VLPFC VLPFC VLPFC, DLPFC VLPFC, DLPFC VLPFC VLPFC, DLPFC VLPFC, DLPFC VLPFC VLPFC VLPFC VLPFC Study Description Prefrontal Regions B. Forgotten > Remember Contrasts Study Clark and Wagner 2003 Daselaar and others 2004 Kensinger and Schacter 2005 Otten and Rugg 2001b Wagner and others 1998 Novel word learning Forgetting Emotion and reality monitoring Content dependency Semantic processing DLPFC VLPFC, DLPFC DLPFC DLPFC DLPFC A, Studies that revealed local maxima in prefrontal regions where activity during encoding was greater for items that were subsequently remembered than for items that were subsequently forgotten. B, Studies that revealed local maxima in prefrontal regions where activity during encoding was greater for items that were subsequently forgotten than for items that were subsequently remembered. LTM = long-term memory; VLPFC = ventrolateral prefrontal cortex; DLPFC = dorsolateral prefrontal cortex. Volume 13, Number 3, 2007 THE NEUROSCIENTIST Downloaded from nro.sagepub.com at UNIV CALIFORNIA DAVIS on January 13, 2016 285 reported subsequent memory effects reported local maxima within the VLPFC. Given that the ability to select relevant item information is essential for many forms of goal-directed cognitive processing, including memory encoding, it makes sense that the VLPFC activity should be strongly linked to memory encoding in a wide variety of behavioral contexts. These findings will be discussed in more detail below. The imaging literature seems to tell a different story about the DLPFC. Out of 150 local maxima throughout the PFC, only 18 fall within the DLPFC. Furthermore, some studies have reported that DLPFC activation was increased during encoding of items that were subsequently forgotten, as compared with those that were subsequently remembered (i.e., a “subsequent forgetting” effect). These findings do not seem to support the notion that the DLPFC contributes to LTM encoding. However, a close analysis of the studies summarized in Table 1 reveals that the majority of imaging studies have used encoding and retrieval tasks that deemphasize organizational processing. As described below, DLPFC activation should be associated with successful LTM encoding specifically under encoding and/or retrieval conditions that emphasize organization. VLPFC and Selection during LTM Encoding As shown in Figure 2, there is overwhelming support for the notion that the VLPFC supports LTM encoding. Behavioral research suggests that engaging selection processes at the time of encoding can strongly impact the strength or distinctiveness of a memory for the relevant item (Craik and Lockhart 1972; Hunt and Einstein 1981). For instance, rehearsing an item (Naveh-Benjamin and Jonides 1984; Greene 1987; Davachi and others 2001; Raye and others 2002; Ranganath and others 2005) or attending to its high-level or semantic features (Craik and Lockhart 1972) can improve its subsequent memorability. Given that most fMRI studies emphasize encoding and retrieval of individual items, and that selection processes figure so prominently in these contexts, it makes sense that the VLPFC has been so consistently implicated in successful memory formation. As noted in the “VLPFC and Selection Processes” section above, anterior regions of the VLPFC (BA 47/12, 45; see Fig. 1) have been implicated in tasks that require high levels of control and/or selection of semantic information (i.e., “deep” processing; cf. Craik and Lockhart 1972), whereas more posterior regions of the VLPFC (BA 44,6) have been implicated in tasks that require less control during selection and/or selection of phonological or orthographic information (i.e., “shallow” processing). Interestingly, some LTM encoding studies have found corresponding patterns of subsequent memory effects in the VLPFC. For instance, some studies have found that more anterior regions of the VLPFC (BA 47/12, 45) showed subsequent memory effects for items studied under deep encoding conditions (e.g., Wagner and others 1998; Baker and others 2001; Otten and others 2001; Fletcher and others 2003; Ranganath and others 2004), whereas more posterior regions of the 286 THE NEUROSCIENTIST VLPFC (BA 44, 6) showed equivalent subsequent memory effects following both deep and shallow encoding (Baker and others 2001; Fletcher and others 2003). However, the literature is not consistent in this regard, as several studies have failed to find such a dissociation in the PFC (Baker and others 2001; Davachi and others 2001; Otten and others 2001; Otten and Rugg 2001a; but see Fletcher and others 2003). Thus, more research is needed to further characterize how VLPFC subregions contribute to LTM encoding. Until now, we have highlighted how selection processes, putatively implemented by the VLPFC, may support successful LTM formation in a very wide range of behavioral contexts. However, there are some situations in which selection processing may be deleterious to memory formation. For example, if selection processes direct attention away from items that are to be encoded, VLPFC activation can be negatively correlated with subsequent memory performance (Otten and others 2002; Reynolds and others 2004). In one such study, participants were scanned while performing several blocks of encoding trials, and subsequent memory was tested outside of the scanner (Otten and others 2002). Consistent with many previous studies, VLPFC activity was increased during encoding of items that were later remembered, as compared to those that were later forgotten. However, in this report, a different analysis method was used to examine sustained activity across each block of trials that was not specifically related to item processing. Interestingly, this sustained activity in the VLPFC across each block of encoding trials was negatively correlated with subsequent memory for the items in each block. This suggests that when processing is directed away from specific items, VLPFC activity will be negatively correlated with subsequent memory performance. DLPFC and Organization in LTM Encoding As mentioned above, organizational processing during encoding is thought to be an important determinant of later memory (Bower 1970; Sternberg and Tulving 1977; Hunt and Einstein 1981), and patients with lesions that include the DLPFC are thought to have deficits in spontaneous usage of organizational strategies. Given that imaging studies have implicated the DLPFC in control processes that support organization in WM, it is surprising that few studies have reported DLPFC subsequent memory effects and that some studies have reported subsequent forgetting effects in the DLPFC. This pattern of findings is consistent with at least two possibilities: 1) the DLPFC implements processes that do not typically promote successful LTM formation or 2) most previous studies were insensitive to detect the way in which the DLPFC contributes to LTM formation. Relevant to the latter possibility, most LTM encoding studies have used encoding tasks that orient attention toward specific attributes of single items and away from relationships between items. In these studies, engaging in organizational processing during encoding was irrelevant or possibly deleterious to later memory performance (i.e., because allocating resources toward processing the relationships among items might Prefrontal Cortex and Memory Encoding Downloaded from nro.sagepub.com at UNIV CALIFORNIA DAVIS on January 13, 2016 Fig. 3. Dorsolateral prefrontal cortex (DLPFC) activity during working memory (WM) organization predicts successful long-term memory (LTM) formation (Blumenfeld and Ranganath 2006). (a) Schematic depiction of the two tasks performed during fMRI scanning. (b) Behavioral results, showing that participants recalled significantly more triplets from each reorder trial (yellow) than would be expected based on the overall hit rate. This finding suggests that, on reorder trials, memory performance was supported by associations among the items in the memory set. (c) fMRI data showing that DLPFC (top) activation was increased during the delay period of reorder trials for which two to three items were subsequently remembered (solid yellow), relative to trials in which zero to one items were remembered (dashed yellow). No such effect is seen on rehearse trials (gray lines). At bottom, activation in a region of the posterior ventrolateral prefrontal cortex (“pVLPFC”) is plotted, showing that delay period activation in this region during both rehearse and reorder trials was predictive of subsequent memory performance. take attentional resources away from processing the distinct features of the items themselves; Bower 1970; Begg 1979; McGee 1980). Accordingly, it is possible that the encoding conditions in many previous imaging studies were not conducive to revealing subsequent memory effects in the DLPFC. The retrieval tests used in subsequent memory paradigms might also be a relevant factor. Most imaging studies of encoding assess LTM with tests of item recognition memory (see Box 1). However, organization facilitates memory by enhancing associations among items (Bower 1970; Begg 1979; McGee 1980). Thus, averaging encoding activation as a function of subsequent item recognition performance might mask the role of the DLPFC in successful LTM encoding. If the DLPFC contributes to LTM encoding through its role in organizational processing, the ability to detect this contribution may depend on the kinds of encoding and retrieval tasks that are used. Indeed, in studies that used encoding tasks that encouraged formation of inter-item associations (Sommer and others 2005; Summerfield and Mangels 2005; Blumenfeld and Ranganath 2006), or studies that used retrieval tests that are sensitive to memory for associations among items (Brassen and others 2006; Staresina and Davachi 2006), DLPFC activity during encoding was positively correlated with subsequent memory performance. In one such study (Blumenfeld and Ranganath 2006), we found evidence that DLPFC activation is related to successful LTM encoding specifically under conditions that emphasize organization. In this study, participants were scanned while they performed two WM tasks: On “rehearse” trials, participants were presented with a set of three words and were required to maintain the set across a 12-second delay period, in anticipation of a question probing memory for the identity and serial position of the items (see Fig. 3). On “reorder” trials, participants were required to rearrange a set of three words based on the weight of the object that each word referred to. They maintained this information across a 12-second delay period (see Fig. 3) in anticipation of a question probing memory for serial order of the items in the rearranged set. Although both rehearse and reorder trials required maintenance of the three-item set, reorder trials additionally required participants to compare the items in the set and transform their serial order. Consequently, reorder trials required substantial organizational processing on each Volume 13, Number 3, 2007 THE NEUROSCIENTIST Downloaded from nro.sagepub.com at UNIV CALIFORNIA DAVIS on January 13, 2016 287 trial, in addition to WM maintenance. Analyses of results from a postscan recognition memory test showed that there were significantly more reorder trials in which all three items were recollected than would be expected based on the overall item hit-rates alone (see Fig. 3). In contrast, the proportion of rehearse trials on which all three items were subsequently recollected was no different than would be expected by the item hit-rates. These findings suggest that active organization of the memory set on reorder trials resulted in successful encoding of the associations among the items in each set. Consistent with the notion that the DLPFC is involved in organization in WM, analyses of fMRI data revealed that DLPFC activation was increased during reorder trials, as compared with rehearse trials (Fig. 3). Furthermore, DLPFC activation during reorder, but not rehearse, trials was positively correlated with subsequent memory performance. Specifically, DLPFC activation was increased during the delay period of reorder trials for which two to three items were later recollected, relative to trials for which one or no items were later recollected. Critically, no such relationship was evident during rehearse trials. In contrast, activation in a posterior region of the left VLPFC (BA 44, 6) was correlated with subsequent memory performance on both rehearse and reorder trials. Thus, results from this study suggest that DLPFC activation promotes successful LTM formation through its role in organizational processing during encoding. A study by Summerfield and colleagues (2006) provides further evidence for the role of the DLPFC in LTM formation. In this study, participants learned associations between faces and houses by using a mnemonic (“he lives in this house”). Results showed that DLPFC and VLPFC activation was enhanced during encoding of pairs that were subsequently remembered. In addition, posterior regions thought to be involved in perception of faces (the “fusiform face area”; Puce and others 1995; Kanwisher and others 1997) and houses (the “parahippocampal place area”; Aguirre and others 1998; Epstein and Kanwisher 1998) showed subsequent memory effects. Functional connectivity analyses demonstrated that the correlation between the DLPFC, FFA, and the PPA was increased on trials that led to successful memory for the face-house pairing. This suggests that the DLPFC may promote memory for associations through increased connectivity with regions that represent the items that are to be associated. Results from another recent study demonstrated the specific nature of DLPFC contributions to memory encoding by comparing the relationship between activation and subsequent performance on free recall and item recognition memory tests (Staresina and Davachi 2006). As described above, recognition tests are often insensitive to detecting the presence of inter-item associations in LTM, whereas recall performance is significantly influenced by organization during encoding (see Box 1). Critically, DLPFC activation was specifically enhanced during encoding of items that were recalled compared to those that were not. DLPFC activation was not correlated with subsequent item 288 THE NEUROSCIENTIST recognition performance. In contrast, encoding time activation in the VLPFC was positively correlated with subsequent memory performance on both the recall and the recognition tests. These results are consistent with the idea that DLPFC activation will contribute to subsequent memory performance specifically under retrieval conditions that are sensitive to memory for associations among items. Before concluding, it is important to address potential challenges to our proposal that the DLPFC contributes to LTM formation via its role in organization. A few studies have reported increased DLPFC during processing of items that were subsequently forgotten, relative to items that were subsequently remembered. Importantly, many of the studies that reported forgetting effects examined encoding of single items and used encoding and retrieval tasks that directed processing toward specific features of the individual items (Otten and Rugg 2001b; Wagner and Davachi 2001; Clark and Wagner 2003; Daselaar and others 2004; Kensinger and Schacter 2005). As mentioned above, these conditions deemphasize organizational processing, which according to our proposal, will reduce the contribution of the DLPFC in LTM formation. Moreover, to the extent that organizational processing competes with item encoding (Begg 1979; McGee 1980; but see Hockley and Cristi 1996), DLPFC forgetting effects may reflect task-irrelevant processing that interferes with successful memory formation. Indeed, during item-specific encoding conditions, organizational processing (and hence DLPFC activity) may need to be inhibited to promote item memory (Daselaar and others 2004). Future research should test this intriguing yet speculative proposal. Conclusion In conclusion, we have reviewed evidence suggesting that different regions of the PFC implement cognitive control processes that support successful LTM encoding. Neuropsychological research has suggested that the PFC supports LTM encoding by supporting controlled selection of goal-relevant item information as well as organization among items. Neuroimaging studies have suggested that these cognitive control processes may depend upon distinct regions of the PFC. For instance, studies investigating resolution of proactive interference and semantic categorization suggest that the VLPFC may be disproportionately involved in controlled selection of item information. Studies investigating manipulation, transformation, or chunking of multiple items in WM provide evidence for the notion that the DLPFC may be disproportionately involved in organizational processing. Recent imaging studies suggest that the roles of these prefrontal regions in cognitive control are directly linked to their roles in LTM encoding. More specifically, results from functional imaging studies investigating LTM suggest that the VLPFC may support LTM formation through its role in selecting relevant item information, whereas the DLPFC may support LTM by building associations among items that are active in memory. Prefrontal Cortex and Memory Encoding Downloaded from nro.sagepub.com at UNIV CALIFORNIA DAVIS on January 13, 2016 References Aguirre GK, Zarahn E, D’Esposito M. 1998. Neural components of topographical representation. Proc Natl Acad Sci U S A 95: 839–46. Alexander MP, Stuss DT, Fansabedian N. 2003. California Verbal Learning Test: performance by patients with focal frontal and nonfrontal lesions. Brain 126:1493–503. Aron AR, Robbins TW, Poldrack RA. 2004. Inhibition and the right inferior frontal cortex. Trends Cogn Sci 8:170–7. 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