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Postprint (final draft post-refeering) Elsevier Editorial System(tm) for Drug and Alcohol Dependence Manuscript Draft Manuscript Number: WB-09-0310R1 Title: REDUCED ANTERIOR PREFRONTAL CORTEX ACTIVATION IN YOUNG BINGE DRINKERS DURING A VISUAL WORKING MEMORY TASK Article Type: Full Length Report Keywords: ERPs, eLORETA, binge drinking, university students, working memory, prefrontal cortex. Corresponding Author: Mr Alberto Crego, ph.D student Corresponding Author's Institution: University of Santiago de Compostela (Spain) First Author: Alberto Crego, ph.D student Order of Authors: Alberto Crego, ph.D student; Socorro Rodríguez-Holguín, Ph.D; María Parada, Ph.D student; Nayara Mota-Miranda, Ph.D student; Montserrat Corral, Ph.D; Fernando Cadaveira, Ph.D Abstract: Working memory (WM) is a major cognitive function that is altered by chronic alcohol consumption. This impairment has been linked to alterations in the hippocampus and prefrontal cortex (PFC). Animal and human studies have shown that the adolescent brain is more sensitive to the neurotoxic effects of alcohol than the adult brain, particularly those structures that mature late on in development, such as the hippocampus and prefrontal brain. The aim of the present study was to assess visual working memory and its neural correlates in young university students who partake in intermittent consumption of large amounts of alcohol (binge drinkers). A sample of 42 binge drinkers and 53 corresponding control subjects performed an identical pairs continuous performance task (IP-CPT) in a combined Event-Related Potential (ERP) and exact Low- Resolution brain Electromagnetic Tomography (eLORETA) study. The results revealed that, despite adequate performance, binge drinkers showed a smaller late positive component (LPC) associated with hypoactivation of the right anterior prefrontal cortex (aPFC) for matching stimuli, in comparison with control subjects. These findings may reveal binge drinking-related functional alteration in recognition working memory processes and suggest that impaired prefrontal cortex function may occur at an early age in binge drinkers.
Postprint (final draft post-refeering) Role of Funding Source This research was supported by Consellería de Innovación e Industria of Xunta de Galicia, grant number PGIDIT05CSO21103PR and INCITE08PXIB211015PR, by Plan Nacional sobre Drogas(PND) of Ministerio de Salud y Consumo of Spain, grant number 2005/PN014, and by Ministerio de Ciencia e Innovación of Spain, grant ref. EDU2008-03400. The Consellería de Innovación e Industria of Xunta de Galicia, PND of Ministerio de Salud y Consumo of Spain and Ministerio de Ciencia e Innovación of Spain had no further role in study design; in the collection, analysis and interpretation of data; in the writing of the report; or in the decision to submit the paper for publication. Contributors All authors contributed to and have approved the final manuscript. Authors Montserrat Corral, Socorro Rodríguez-Holguín and Fernando Cadaveira designed the study and wrote the protocol. Author Alberto Crego managed the literature searches and summaries of previous related work. Authors Nayara Mota, María Parada and Alberto Crego collected data. Author Alberto Crego undertook the statistical analysis, and wrote the first draft of the manuscript. Authors Socorro Rodríguez-Holguín and Fernando Cadaveira reviewed the final manuscript. Conflict of Interest All other authors declare that they have no conflicts of interest. Author Disclosures
Postprint (final draft post-refeering) 1 REDUCED ANTERIOR PREFRONTAL CORTEX ACTIVATION IN YOUNG BINGE DRINKERS DURING A VISUAL WORKING MEMORY TASK Alberto Crego, Socorro Rodriguez-Holguín , María Parada, Nayara Mota, Montserrat Corral, and Fernando Cadaveira. Department of Clinical Psychology and Psychobiology, University of Santiago de Compostela, Galicia, Spain Requests for reprints should be addressed to Alberto Crego, Departamento de Psicoloxía Clínica e Psicobioloxía, Facultade de Psicoloxía, Campus Universitario Sur, E-15705, Santiago de Compostela, Galicia, Spain. Tel: +34-981-563100 (ext. 13915; Fax: +34-981-528071; E-mail: [email protected] *Manuscript_revised
Postprint (final draft post-refeering) 2 Abstract Working memory (WM) is a major cognitive function that is altered by chronic alcohol consumption. This impairment has been linked to alterations in the hippocampus and prefrontal cortex (PFC). Animal and human studies have shown that the adolescent brain is more sensitive to the neurotoxic effects of alcohol than the adult brain, particularly those structures that mature late on in development, such as the hippocampus and prefrontal brain. The aim of the present study was to assess visual working memory and its neural correlates in young university students who partake in intermittent consumption of large amounts of alcohol (binge drinkers). A sample of 42 binge drinkers and 53 corresponding control subjects performed an identical pairs continuous performance task (IP-CPT) in a combined Event-Related Potential (ERP) and exact Low-Resolution brain Electromagnetic Tomography (eLORETA) study. The results revealed that, despite adequate performance, binge drinkers showed a smaller late positive component (LPC) associated with hypoactivation of the right anterior prefrontal cortex (aPFC) for matching stimuli, in comparison with control subjects. These findings may reveal binge drinking-related functional alteration in recognition working memory processes and suggest that impaired prefrontal cortex function may occur at an early age in binge drinkers. Keywords: ERPs, eLORETA, binge drinking, university students, working memory, prefrontal cortex.
Postprint (final draft post-refeering) 3 1. Introduction Alcohol abuse is probably the most common type of drug abuse in Western countries. The effects of alcohol on the central nervous system (CNS) have been widely studied in animals, and the neurocognitive, neuroanatomical and neurofunctional consequences of alcoholism in humans is well-known (for a review see Oscar-Berman and Marinkovic, 2007). In recent decades, there has been increasing concern regarding the neurocognitive effects of alcohol in adolescents and young people because of the high prevalence of alcohol abuse among this population. Epidemiological studies across the USA and UK indicate that around 40% of university students are binge drinkers (Gill, 2002; Weschler et al., 2000, 2002). In a recent study by our research group in Spain (Caamaño et al, 2008), 37% of first-year university students (N= 2700) were found to consume large amounts of alcohol ("risky consumption”) and 12.2 % were classified as binge drinkers. Binge drinking (BD) is characterized by the consumption of large amounts of alcohol in a short time, followed by a period of abstinence, as opposed to regular drinking in which a person may consume similar amounts of alcohol weekly but without the extremes of alcohol intoxication, and is common among young people, especially university students, and particularly on Thursdays and weekend days (Beets et al., 2009). A standardized conceptual definition of BD was proposed by the US National Institute on Alcohol Abuse and Alcoholism (NIAAA, 2004): “a binge is a pattern of drinking alcohol that brings blood alcohol concentration to 0.08 gram percent or above. For the typical adult, this pattern corresponds to consuming five or more drinks (four or more for females), in about two hours”. This definition of BD is similar to that used in most epidemiological studies, however, it does not specify the time period or number of
Postprint (final draft post-refeering) 4 binge events that would describe a long-term BD pattern. The inclusion of a minimum criterion for frequency of BD episodes is necessary to define a BD pattern (for a review, see Courtney and Polich, 2009). This temporal aspect of a BD pattern has been variably defined, mainly as at least once in the previous two weeks (Keller et al., 2007; Presley and Pimentel, 2006; Syre et al., 1997; Wechsler et al., 1994, Weschler and Austin, 1998; Wechsler et al., 2000; White et al., 2006) or in the previous month (Griffiths et al., 2006; Jenninson, 2004; McNally and Palfai, 2001; Xing et al., 2006). In the USA, one standard alcoholic drink equals 14 g of alcohol. However, in Europe (except Portugal and UK) and Australia, one standard alcoholic drink equals about 10 g of alcohol, which obviously affects the definition of BD. Thus, most widely accepted and used definition of BD pattern includes two criteria for minimum consumption: a quantity/frequency criterion (consumption of five or more standard alcoholic drinks -six in Europe and Australiaon the same occasion one or more times per month) and a speed of consumption criterion (five or more standard alcoholic drinks in two hours, i.e., three or more per hour) (Ministerio de Sanidad y Consumo de España, 2008; NIAAA, 2004; World Health Organization, 2004). Animal studies demonstrate that the intermittent consumption of high doses of alcohol causes major alterations in the CNS (Hunt, 1993; Jaatinen et al., 2003; Roberto et al., 2002; Tokunaga et al., 2006) and that the adolescent brain is more sensitive to the neurotoxic effects of alcohol and BD than the adult brain (Crews et al., 2000, 2006; Silvers et al., 2003; White et al., 2000). Alcohol particularly affects those structures of the brain that mature late on in development, such as the hippocampus and the prefrontal cortex (PFC) (Monti et al., 2005; White and Swartzwelder, 2004). Human studies have also revealed the presence of neurostructural and neurocognitive anomalies in adolescents with alcohol use disorders (AUDs). According
Postprint (final draft post-refeering) 5 to the Diagnostic and Statistical Manual of Mental Disorders, 4th edition (DSM-IV: American Psychiatric Association, 1994), AUDs include both alcohol abuse, which is characterized by a “maladaptative pattern of alcohol use manifested by recurrent and significant adverse consequences related to the repeated use of alcohol”, and alcohol dependence, which is defined as “a cluster of cognitive, behavioral, and phsysiological symptoms (such as tolerance for alcohol and withdrawal symptoms) indicating that the individual continues to use alcohol despite significant alcohol-related problems”. These studies have reported significant reductions in the volume of hippocampus and PFC (De Bellis et al., 2000, 2005; Medina et al., 2008; Nagel et al., 2005), and at the neurocognitive level, deficits in functions related to these areas, such as visospatial attention, and particularly working memory (WM) (Brown and Tapert, 2004; Tapert and Brown, 1999; Tapert et al, 2002), in adolescents with AUD in comparison with paired controls. As regards BD, although few studies have investigated the neurobiological and neurocognitive effects of this pattern of alcohol consumption in non-clinical samples of adolescents and young people, it has been shown that young people who indulge in BD experience difficulty in carrying out tasks involving prefrontal cortex functions, such as WM, planning, attention and decision making (García-Moreno et al., 2008; Goudriaan et al., 2007; Hartley et al., 2004; Johnson et al., 2008; Townshend and Duka, 2005; Weissenborn and Duka, 2003). Weissenborn and Duka (2003) compared BD and non- BD students and found that the performance of the binge drinkers in a spatial working memory test was significantly poorer than that of the non-binge drinkers. Similarly, Townshend and Duka (2005) found that female binge drinkers performed worse in a spatial working memory task than non-binge drinkers. Working memory is therefore one of the cognitive functions most affected by AUDs. Impairment of this cognitive function is probably related to the effects of
Postprint (final draft post-refeering) 6 alcohol on brain structures such as the hippocampus and the PFC. Studies with young binge drinkers, although still scarce, also indicate a possible deficit in this function. Therefore, the aim of the present study was to explore visual working memory function and its neural correlates in young binge drinkers. One of the most useful tasks in exploring the neural correlates of WM is the continuous performance task (CPT) (Baddeley, 2001; Borgaro et al., 2003; Riccio et al., 2001). A typical CPT requires attention to a continuous stream of data demonstrated by response to specific target stimuli. In this task, subjects are typically asked to monitor a long series of visually presented digits, letters or other characters appearing at regular intervals, and to respond when they observe a pre-designated target (Rosvold et al., 1956). A specific variant of this task, the identical-pairs continuous performance task (IP-CPT) is a high processing load version in which subjects have to identify the consecutive repetition of any item in a sequence (Cornblatt et al., 1988; Keilp et al., 1997). This task has been used to assess psychiatric diseases, such as schizophrenia and attentional-deficit hyperactivity disorder, and has proved to be useful in characterizing neural processes associated with impaired attention and WM in such diseases (Perlstein et al., 2003; Salgado-Pineda et al., 2003, 2004). Although it is difficult to reach general conclusions because of the variability among studies as regards the design of specific tasks, the analytical techniques and the outcomes measured, it can be concluded that IPCPT involves activation of frontal, limbic, subcortical and posterior brain structures responsible for sensorial integration (Keilp et al., 1997). Adler et al (2001) used fMRI to explore cerebral activity in subjects executing an IP-CPT with a random stream of fourdigit numerals, in which the subjects had to respond by pressing a button when the same four-digit numeral appeared twice in succession during the sequence. The authors found that this task was associated with significantly larger activation of prefrontal
Postprint (final draft post-refeering) 7 cortex, bilateral posterior temporal cortex, bilateral putamen and thalamus than occurred in a simple CPT. The authors attributed this increase in activation to increased memory processing demands by the IP-CPT. In the present study we recorded event-related potentials (ERPs) in order to explore the neural correlates of visual WM during IP-CPT. The IP-CPT elicits an ERP component, named the late positive complex (LPC), which has been closely related to WM processes and PFC activation (Düzel et al., 2001; Schendan and Maher, 2009) and consists of a broad positive waveform with centro-parietal maximum amplitude and peak latency at about 500-700 ms post-stimulus. It is known that ERP studies enable investigation of the electrical brain responses associated with cognitive processes with high temporal resolution, and ERPs (especially the P3 family components) have been widely used to assess the neurocognitive effects of alcohol in different populations (chronic alcoholics, abstinent chronic alcoholics, children of alcoholics) (Cadaveira.et al., 1991; Cohen et al., 1997; Cristini et al., 2003; Kamarajan et al, 2005; Miyazato and Ogura, 1993; Rodríguez Holguín et al., 1999). However, to our knowledge only two studies have used ERPs to explore BD in young people. Ehlers et al. (2007) used a facial emotional expression recognition task and evaluated ERPs in young adults with a history of BD during adolescence. They reported that young adults participating in BD during adolescence displayed a lower amplitude in a late subcomponent of P3 (P450) than subjects who did not partake in BD during adolescence. The authors suggested that these anomalies may be associated with a loss or delay in the development of inhibitory brain systems in binge drinkers. Recently, Maurage et al. (2009) used a test-retest paradigm and reported that short-term BD can produce marked cerebral dysfunction undetectable by behavioral measures alone. The results of the study revealed that, after nine months of BD, subjects presented significantly delayed latencies for P1, N2 and P3
Postprint (final draft post-refeering) 14 correct responses, false alarms and omissions were analyzed by ANOVA, with two between-subjects factors: Group (BD and control) and Gender (male and female). 2.4.2. ERP analysis. All EEG data were analyzed with Brain Vision Analyzer software (Version 1.05). The EEG was corrected for ocular artifacts by the procedure developed by Gratton et al. (1983). It was then digitally filtered off-line with a 0.1-30 Hz bandpass filter and segmented into epochs of 1000 ms from 100 ms pre-stimulus to 900 ms poststimulus. Baseline correction was applied, epochs exceeding ± 80 µV at any scalp electrode were rejected (this criterion resulted in less than 4% of rejected epochs) and EEG epochs corresponding to incorrect responses (omissions or false alarms) were excluded. Average ERPs time-locked to matching and non-matching stimuli were computed separately for each participant. The ERP data were examined by temporal Principal Components Analysis (tPCA) to ensure correct identification of LPC. This analysis is recommended for identifying and quantifying ERP components independently of the influences of adjacent or subjacent components (Chapman and McCrary, 1995; Dien, 1998). It also enables identification of hidden ERP components and prevents possible misinterpretations that occur with traditional visual inspection of grand averages. The tPCA provides two matrices, one for factor loadings and another for factor scores. The first shows the load of each factor over time, and the second provides information about the extent to which each factor is present in the averaged ERPs at each electrode site. The factor scores are transformed values of the original voltages, which may be considered as “clean amplitudes” and thus can be used as a measure of the amplitude. A covariance-matrix-based tPCA was applied for both conditions (matching and non-matching stimuli). The decision regarding selection of the number of components
Postprint (final draft post-refeering) 15 (or factors) was based on the results of the scree test (Cattell, 1966). The number of data points (factors) above the “break” in the scree test was tested by running multiple factor analyses and manually setting the number of factors to be retained. Nine factors, which accounted for 94.8% of the total variance, were finally selected. Extracted factors were then submitted to Promax rotation. Promax rotation was used because it minimizes miscalculations due to, e.g., misallocation of variance (Dien, 1988). The temporal and spatial characteristics of the components indicated that factor 1 (explained variance: 59%; latency: 625ms) corresponded to the LPC. The nine temporal factors extracted are shown in Fig. 3. Insert Figure 3 about here The factor scores corresponding to LPC from both matching and non-matching stimuli were organized into three regions, each with six electrodes: frontal (F3, Fz, F4, FC3, FCz, FC4), central (C3, Cz, C4, CP3, CPz, CP4) and parietal (P3, Pz, P4, PO3, POz, PO4). Preliminary statistical analyses were performed with the Gender factor included, and once it was verified that there were no major gender effects or interactions, this factor was not considered in the design. A mixed model ANOVA with four factors was used for the statistical analysis, with one between-subjects factor and three within-subject factors. The between-subjects factor was Group (BD and control) and the within-subject factors were Match Condition (matching and non-matching stimuli), Region (frontal, central and parietal) and Electrode (six channels). An experiment-wise alpha level of 0.05 was used. Whenever appropriate, degrees of freedom were corrected by the conservative Greenhouse-Geisser estimate.
Postprint (final draft post-refeering) 16 All post-hoc pair comparisons were performed with the Bonferroni adjustment for multiple comparisons, also with an alpha level of 0.05. 2.4.3. eLORETA analysis. On the basis of the scalp-recorded electric potential distribution, the exact low resolution brain electromagnetic tomography (eLORETA) software (publicly available free academic software, at http://www.uzh.ch/keyinst/loreta.htm) was used to compute the cortical threedimensional distribution of current density at LPC for matching trials in both groups. The eLORETA method is a distributed, linear weighted minimum norm inverse solution. The weights endow the tomography with the property of exact localization to test point sources, yielding images of current density with exact localization, albeit with low spatial resolution (i.e. neighboring neuronal sources will be highly correlated). The method and the proof of its exact zero-error localization property are described in Pascual-Marqui, 2007 and 2009. It is also important to emphasize that eLORETA has no localization bias even in the presence of structured noise. In this sense, eLORETA is an improvement over previously developed tomographies (LORETA: Pascual-Marqui et al., 1994), and over the standardized version, sLORETA (Greenblatt et al., 2005; Pascual-Marqui, 2002; Sekihara et al., 2005). The previously developed related tomographies LORETA and sLORETA (Pascual-Marqui et al., 1994, 2002) have been validated in several studies combining LORETA with other more established localization methods such as functional Magnetic Resonance Imaging (fMRI, Mulert et al., 2004; Vitacco et al., 2002), structural MRI (Worrell et al., 2000), Positron Emission Tomography (PET, Dierks et al., 2000; Pizzagalli et al., 2004; Zumsteg et al., 2005), and invasive implanted electrodes
Postprint (final draft post-refeering) 17 recordings (Zumsteg et al., 2006). The results of these studies also validate eLORETA, owing to its improved localization properties. It is worth emphasizing that deep structures such as the anterior cingulate cortex (ACC, Pizzagalli et al., 2004) and mesial temporal lobes (Zumsteg et al., 2006) can be correctly localized with this method. Computations were made in a realistic head model (Fuchs et al., 2002), with the MNI152 template (Mazziotta et al., 2001), and with the three-dimensional solution space restricted to cortical gray matter. The intracerebral volume is partitioned in 6239 voxels at 5 mm spatial resolution. Thus, eLORETA images represent the electric activity at each voxel in neuroanatomic Montreal Neurological Institute (MNI) space as the exact magnitude of the estimated current density. Anatomical labels such as Brodmann areas are also reported using MNI space. The grand mean LPC eLORETA images were computed by first calculating the eLORETA solution for each subject in the matching condition, and then averaging the current density values across all subjects for each group (BD and control). The eLORETA software was then used to perform voxel-by-voxel betweengroup comparisons of the LPC current density distribution. Specifically, in order to identify possible differences in the brain electrical activity in matching trials between groups (BD and control), nonparametric statistical analyses of functional eLORETA images (Statistical non-Parametric Mapping; SnPM) were performed with a log-F-ratio statistic for independent groups. The results correspond to maps of log-F-ratio statistics for each voxel, for corrected P<0.05. As explained in the review by Nichols and Holmes (2002), the SnPM methodology corrects for all multiple comparisons, and at the same time does not require any assumption of Gaussianity. 3. Results
Postprint (final draft post-refeering) 18 3.1. Behavioral results The behavioral data for each group are summarized in Table 2. No significant differences between the control and BD groups were observed for RTs, percentage of correct responses, false alarms or omissions. Insert Table 2 about here 3.2. Electrophysiological results The grand averages of the ERPs recorded in the control and BD groups are shown in Figs. 4 and 5 respectively. The LPC was identified by PCA, for both matching and nonmatching conditions. The latency was approximately 625 ms, and maximum factor scores were obtained at central and parietal locations. Insert Figures 4 and 5 about here Analysis of the LPC revealed that Match Condition (matching or non-matching stimuli) had a significant effect [F(1,91) = 4.02, P<0.05]. The LPC factor scores were significantly larger in the matching than in the non-matching condition. The analysis also revealed that Region had a significant effect [F(2,182) = 116.19, P<0.001], with higher factor scores in posterior than anterior regions: Parietal>Frontal (P<0.001) and Central>Frontal (P<0.001). The Match Condition x Group interaction showed significant effects [F(1,91) = 4.85, P<0.05] with larger LPC factor scores in the Control
Postprint (final draft post-refeering) 19 than in the BD group in matching condition (see Fig. 6). Although there were no significant interactions involving Region, separate analyses were performed for each region, and showed that the difference between the two groups was only significant at the Frontal [F(1,91) = 5.48, P>0.05] and Central [F(1,91) = 4.57, P>0.05] regions. Insert Figure 6 about here 3.3. eLORETA results The eLORETA brain maps representing cortical regions where BD and control subjects showed maximal activation at LPC for the matching condition are shown in Fig. 7. Insert Figure 7 about here In the comparisons between the two groups, significant differences were found in matching trials. Significantly less activation was observed in the BD group than in the control group for matching stimuli in the right anterior prefrontal cortex (aPFC) (Brodmann area 10) (Log-F-ratio = -2.85, corrected P<0.05). The eLORETA statistical nonparametric maps comparing electrical neuronal activity of BD and control subjects for matching stimuli at LPC are shown in Fig.8. Those brain regions where the SnPM Log-F-ratio statistic for independent groups was statistically significant are listed, along with the MNI coordinates, in Table 3. Insert Figure 8 and Table 3 about here
Postprint (final draft post-refeering) 20 4. Discussion Little is known about the neurocognitive effects of repeated and intermittent excessive consumption of alcohol over short periods of time (BD) in human adolescents and young adults. In the present study, ERPs were recorded in a group of young BD and control university students during the execution of a visual working memory task, and the LPC was analyzed. The cortical sources of the LPC were modeled and analyzed by eLORETA software. The specific aims were to establish whether the LPC differs between binge drinkers and control university students and to examine possible BD- related differences in LPC neural activation during processing in a visual working memory task. The results revealed a reduction in the LPC and hypoactivation of the aPFC in the BD group in matching trials during the execution of the working memory task, although no behavioral differences between BD and control groups were observed. Very few ERPs studies have been carried out in relation to BD. Ehlers et al. (2007) assessed ERPs during the execution of a facial emotional expression discrimination task in three groups of Southwest California Indians: Adults with no regular BD during adolescence (mean intake per occasion before 18 was < five drinks - of 14 g of alcoholper occasion) and no diagnosed drug dependence; adults with history of BD during adolescence (mean intake per occasion before 18 was > five drinks per occasion) with no diagnosed life-time drug dependence, and adults with history of BD during adolescence and diagnosed drug dependence comorbidity. The results revealed that adults with history of BD adolescence with no diagnosed life-time drug dependence showed a lower amplitude of a later subcomponent of P3 (P450) than adults with no
Postprint (final draft post-refeering) 21 regular BD during adolescence and no drug dependence. However, the decrease in the amplitude cannot be attributed exclusively to BD during adolescence, because family history of alcohol and conduct disorder or antisocial personality disorder were not excluded and were significant covariates in the analysis. Recently, Maurage et al. (2009) compared young adult binge drinkers (more than 10 drinks of 10 g of alcohol at least 2 times a week) with matched paired controls (both were first-year university student), in a test-retest paradigm over a nine month period. In this study, the potentially biasing variables were controlled and the subjects included in the study had to meet strict selection criteria: no positive history of alcoholism, total absence of past or current drug consumption (including tobacco and medication), no history of psychiatric disorder and no moderate or high depression-anxiety scores. The results revealed that although the two groups did not differ in any psychological, behavioral or electrophysiological measures in the first session (before the subjects started binge drinking habits), nine months later, the binge drinkers displayed significantly delayed latency in the P1, N2 and P3 components elicited by emotional auditory stimuli in a discrimination task, relative to controls, still with no behavioral differences between the two groups. These studies have revealed that young binge drinkers show electrophysiological anomalies in the processing of emotional stimuli, and the results of the present study suggest that electrophysiological anomalies also occur during WM processes. In fact, anomalous electrophysiological patterns associated with binge drinking during the execution of this WM task do not only affect LPC. In a previous report by our research group (Crego et al., 2009) with the same subjects and task as in the present study, binge drinkers showed anomalies in the N2 and P3 components. The N2 component elicited by matching stimuli in central and parietal regions was significantly larger in the BD
Postprint (final draft post-refeering) 22 than in the control group; the P3 component, which was larger in the matching than in the non-matching condition in the frontal, central and parietal regions in the control group, did not differ significantly between conditions in the BD group. Thus, although ERPs studies on BD are still scarce, and despite the different nature of the tasks used, the results of the study by Maurage et al. (2009), our previous study (Crego et al., 2009) and the present study appear to confirm that healthy binge drinkers (with no psychopathological comorbidities, AUDs, abuse or dependence on other illegal drug, or family history of alcoholism) may display anomalies in the electrophysiological responses when processing information, even in the absence of behavioral impairment. Although it is not entirely clear which cognitive processes are associated with the LPC, this component is mainly related to the categorical response, possibly associated with executive functions in the prefrontal cortex (Kirino et al., 2000). In fact, to evoke LPC, it appears necessary to use high load processing tasks in which the subjects have to do more than detect a given stimulus and, for example, must use WM or carry out a task with a sub-goal task. This component appears to be particularly closely related to WM and any synchronized operation immediately following target or match detection (García-Larrea and Cézanne-Bert, 1998), such as selection of a response category and evaluation of the success of a category-related decision or memory match (Schendan and Maher, 2009). The results of the present study revealed that the LPC was larger in matching than in non-matching trials, suggesting that, in this task, the LPC may indicate WM recognition and the detection of memory match. Therefore, the significant reduction in the factor scores of the LPC in matching trials found in the BD group in comparison with the control group may reveal anomalies in the electrophysiological processing
Postprint (final draft post-refeering) 23 underlying working memory and memory match processes in young binge drinking university students. Neuropsychological studies have revealed that adolescents and young people with AUD perform worse in working memory tasks (Brown et al., 2000; Tapert et al., 2002; Brown and Tapert, 2004). However, studies with healthy youths and adolescents with a BD pattern are scarce and the behavioral effects in working memory tasks are not clear. Weissenborn and Duka (2003) compared BD and non-BD students and found that the performance of the binge drinkers in a spatial working memory test was significantly poorer than that of the non-binge drinkers. Similarly, Townshend and Duka (2005) also found that female binge drinkers performed worse in a spatial working memory task than the corresponding control subjects. In contrast, Hartley et al. (2004) did not find any behavioral differences between binge and non-binge drinkers with the same spatial working memory task. It is important to note that the subjects in the first two studies were between 18 and 30 years old and the binge drinkers consumed large quantity quantities of alcohol every week, whereas subjects in the latter study were younger students (aged 18-23 years) who consumed smaller amounts of alcohol per week, and perhaps their drinking may not have reached the threshold or duration needed to show behavioral impairments. As regards the neuroanatomical basis of the electrophysiological dysfunction found in the present study, between-group comparisons of eLORETA data revealed BD-related hypoactivation of the right aPFC in the matching trials. Although alcoholism-related cortical changes have been documented throughout the brain, most studies have consistently found the frontal lobes, especially PFC, to be more vulnerable to alcohol-related brain damage than other cerebral regions (Chen et al., 2007; Demir et al., 2002; Gansler et al., 2000; Pfefferbaum et al., 2001; Volkow et al, 1992, 1994).
Postprint (final draft post-refeering) 30 interview for use in genetic linkage studies: a report of the reliability of the SSAGA. J. Stud. Alcohol. 55, 149-158. Caamaño-Isorna, F., Corral, M., Parada, M., Cadaveira, F., 2008. Factors associated with risky consumption and heavy episodic drinking among Spanish university students. J Stud Alcohol Drugs. 69, 308-312. Cadaveira, F., Grau, C., Roso, M., Sánchez-Turet, M., 1991. Multimodality exploration of event-related potentials in chronic alcoholics. Alcohol Clin Exp Res. 15, 607-611. Caldwell, L.C., Schweinsburg, A.D., Nagel, B.J., Barlett, V.C., Brown, S.A., Tapert, S.F., 2005. Gender and adolescent alcohol use disorders on BOLD (blood oxygen level dependent) response to spatial working memory. Alcohol Alcohol. 40, 194-200. Cattell, R.B., 1966. The scree test for the number of factors. Multivariate Behav Res. 1, 245-76. Chapman, R.M., McCrary, J.W., 1995. EP component identification and measurement by principal components analysis. Brain Cogn. 27, 288-310. Chen, A.C., Porjesz, B., Rangaswamy, M., Kamarajan, C., Tang, Y., Jones, K.A., Chorlian, D.B., Stimus, A.T., Begleiter, H., 2007. Reduced frontal lobe activity in subjects with high impulsivity and alcoholism. Alcohol Clin Exp Res. 31, 156-165. Cohen, H.L., Porjesz, B., Begleiter, H., Wang, W., 1997. Neurophysiological correlates of response production and inhibition in alcoholics. Alcohol Clin Exp Res. 21, 1398-1406. Conigrave, K.M., Hall, W.D., Saunders, J.B., 1995. The AUDIT questionnaire: choosing a cutoff score. Addiction. 90, 1349-1356. Cornblatt, B.A., Risch, N.J., Faris, G., Friedman, D., Erlenmeyer-Kimling, L., 1988. The Continuous Performance Test, identical pairs version (CPT-IP): I. New findings about sustained attention in normal families. Psychiatry Res. 26, 223-238. Crego, A., Rodriguez Holguín, S., Parada, M., Mota, N., Corral, M., Cadaveira, F., 2009. Binge drinking affects attentional and visual working memory processing in young university students. Alcohol Clin Exp Res. 33, 1870-1879.
Postprint (final draft post-refeering) 31 Crews, F.T., Braun, C.J., Hoplight, B., Switzer, R.C., 3rd, Knapp, D.J., 2000. Binge ethanol consumption causes differential brain damage in young adolescent rats compared with adult rats. Alcohol Clin Exp Res. 24, 1712-1723. Crews, F.T., Mdzinarishvili, A., Kim, D., He, J., Nixon, K., 2006. Neurogenesis in adolescent brain is potently inhibited by ethanol. Neuroscience. 137, 437-445. Cristini, P., Fournier, C., Timsit-Berthier, M., Bailly, M., Tijus, C., 2003. [ERPs (N200, P300 and CNV) in alcoholics: relapse risk assessment]. Neurophysiologie Clinique. 33, 103- 119. Courtney, K., E., Polich, J., 2009. Binge drinking in young adults: data, definitions and determinants. Psychological Bulletin. 135, 142-156. De Bellis, M.D., Clark, D.B., Beers, S.R., Soloff, P.H., Boring, A.M., Hall, J., Kersh, A., Keshavan, M.S., 2000. Hippocampal volume in adolescent-onset alcohol use disorders. Am J Psychiatry. 157, 737-744. De Bellis, M.D., Narasimhan, A., Thatcher, D.L., Keshavan, M.S., Soloff, P., Clark, D.B., 2005. Prefrontal cortex, thalamus, and cerebellar volumes in adolescents and young adults with adolescent-onset alcohol use disorders and comorbid mental disorders. Alcohol Clin Exp Res. 29, 1590-1600. Demir, B., Ulug, B., Lay Ergun, E., Erbas, B., 2002. Regional cerebral blood flow and neuropsychological functioning in early and late onset alcoholism. Psychiatry Res. 115, 115-125. Derogatis, L.R., 2002. The SCL-90-R. MD: Clinical Psychometric Research, Baltimore. Dien, J., 1998. Addressing misallocation of variance in principal components analysis of eventrelated potentials. Brain Topogr. 11, 43-55. Dierks, T., Jelic, V., Pascual-Marqui, R.D., Wahlund, L., Julin, P., Linden, D.E., Maurer, K., Winblad, B., Nordberg, A., 2000. Spatial pattern of cerebral glucose metabolism (PET) correlates with localization of intracerebral EEG-generators in Alzheimer's disease. Clin Neurophysiol. 111, 1817-1824.
Postprint (final draft post-refeering) 32 Düzel, E., Picton, T.W., Cabeza, R., Yonelinas, A.P., Scheich, H., Heinze, H.J., Tulving, E., 2001. Comparative electrophysiological and hemodynamic measures of neural activation during memory-retrieval. Hum Brain Mapp. 13, 104-123. Ehlers, C.L., Phillips, E., Finnerman, G., Gilder, D., Lau, P., Criado, J., 2007. P3 components and adolescent binge drinking in Southwest California Indians. Neurotoxicol Teratol. 29, 153-163. Fleming, M.F., Barry, K.L., MacDonald, R., 1991. The alcohol use disorders identification test (AUDIT) in a college sample. Int J Addictions. 26, 1173-1185. Fuchs, M., Kastner, J., Wagner, M., Hawes, S., Ebersole, J.S., 2002. A standardized boundary element method volume conductor model. Clin Neurophysiol. 113, 702-712. Gansler, D.A., Harris, G.J., Oscar-Berman, M., Streeter, C., Lewis, R.F., Ahmed, I., Achong, D., 2000. Hypoperfusion of inferior frontal brain regions in abstinent alcoholics: a pilot SPECT study. J Stud Alcohol. 61, 32-37. García-Larrea, L., Cezanne-Bert, G., 1998. P3, positive slow wave and working memory load: a study on the functional correlates of slow wave activity. Electroencephalogr Clin Neurophysiol. 108, 260-273. García-Moreno, L.M., Expósito, J., Sanhueza, C., Angulo, M.T., 2008. Actividad prefrontal y alcoholismo de fin de semana en jóvenes. Adicciones. 20, 271-279. Gill, J.S., 2002. Reported levels of alcohol consumption and binge drinking within the UK undergraduate student population over the last 25 years. Alcohol Alcohol. 37, 109-120. Goudriaan, A.E., Grekin, E.R., Sher, K.J., 2007. Decision making and binge drinking: a longitudinal study. Alcohol Clin Exp Res. 31, 928-938. Grady, C.L., McIntosh, A.R., Beig, S., Craik, F.I., 2001. An examination of the effects of stimulus type, encoding task, and functional connectivity on the role of right prefrontal cortex in recognition memory. Neuroimage. 14, 556-571. Gratton, G., Coles, M.G., Donchin, E., 1983. A new method for off-line removal of ocular artifact. Electroencephalogr Clin Neurophysiol. 55, 468-484.
Postprint (final draft post-refeering) 33 Greenblatt, R.E., Ossadtchi, A., Pilieger, M.E., 2005. Local linear estimators for the bioelectromagnetic inverse problem. IEEE Trans. Signal Process. 53, 3403-3412. Griffiths, S., Lau, J.T., Chow, J.K., Lee, S.S., Kan, P.Y., Lee, S., 2006. Alcohol use among entrants to a Hong Kong University. Alcohol Alcohol. 41, 560-565. Gruber, O., Kleinschmidt, A., Binkofski, F., Steinmetz, H., von Cramon, D.Y., 2000. Cerebral correlates of working memory for temporal information. Neuroreport. 11, 1689-1693. Hartley, D.E., Elsabagh, S., File, S.E., 2004. Binge drinking and sex: effects on mood and cognitive function in healthy young volunteers. Pharmacol Biochem Behav. 78, 611- 619. Hommer, D., Momenan, R., Kaiser, E., Rawlings, R., 2001. Evidence for a gender-related effect of alcoholism on brain volumes. Am J Psychiatry. 158, 198-204. Hunt, W.A., 1993. Are binge drinkers more at risk of developing brain damage? Alcohol. 10, 559-561. Jaatinen, P., Riikonen, J., Riihioja, P., Kajander, O., Hervonen, A., 2003. Interaction of aging and intermittent ethanol exposure on brain cytochrome c oxidase activity levels. Alcohol. 29, 91-100. Jennison, K.M., 2004. The short-term effects and unintended long-term consequences of binge drinking in college: a 10-year follow-up study. Am J Drug Alcohol Abuse. 30, 659-84. Johnson, C.A., Xiao, L., Palmer, P., Sun, P., Wang, Q., Wei, Y., Jia, Y., Grenard, J.L., Stacy, A.W., Bechara, A., 2008. Affective decision-making deficits, linked to a dysfunctional ventromedial prefrontal cortex, revealed in 10th grade Chinese adolescent binge drinkers. Neuropsychologia. 46, 714-726. Kamarajan C, Porjesz B, Jones KA, Chorlian D, Padmanabhapillai A, RangaswamyM, Stimus A, Begleiter H., 2005. Spatial-anatomical mapping of NoGo-P3 in the offspring of alcoholics: evidence of cognitive and neural disinhibition as a risk for alcoholism. Clin Neurophysio. 116, 1049-1061.
Postprint (final draft post-refeering) 34 Keilp, J.G., Herrera, J., Stritzke, P., Cornblatt, B.A., 1997. The continuous performance test, identical pairs version (CPT-IP): III. Brain functioning during performance of numbers and shapes subtasks. Psychiatry Res. 74, 35-45. Keller, S., Maddock, J.E., Laforge, R.G., Velicer, W.F., Basler, H.D., 2007. Binge drinking and health behavior in medical students. Addict Behav. 32, 505-515. Kirino, E., Belger, A., Goldman-Rakic, P., McCarthy, G., 2000. Prefrontal activation evoked by infrequent target and novel stimuli in a visual target detection task: an event-related functional magnetic resonance imaging study. J Neurosci. 20, 6612-6618. Lepage, M., Ghaffar, O., Nyberg, L., Tulving, E., 2000. Prefrontal cortex and episodic memory retrieval mode. Proc Natl Acad Sci. USA., 506-511. Leung, H.C., Gore, J.C., Goldman-Rakic, P.S., 2005. Differential anterior prefrontal activation during the recognition stage of a spatial working memory task. Cereb Cortex. 15, 1742- 1749. MacLeod, A.K., Buckner, R.L., Miezin, F.M., Petersen, S.E., Raichle, M.E., 1998. Right anterior prefrontal cortex activation during semantic monitoring and working memory. Neuroimage. 7, 41-48. Mann, K., Ackermann, K., Croissant, B., Mundle, G., Nakovics, H., Diehl, A., 2005. Neuroimaging of gender differences in alcohol dependence: are women more vulnerable? Alcohol Clin Exp Res. 29, 896-901. Maurage, P., Pesenti, M., Philippot, P., Joassin, F., Campanella, S., 2009. Latent deleterious effects of binge drinking over a short period of time revealed only by electrophysiological measures. J Psychiatry Neurosci. 34, 111-118. Mazziotta, J., Toga, A., Evans, A., Fox, P., Lancaster, J., Zilles, K., Woods, R., Paus, T., Simpson, G., Pike, B., Holmes, C., Collins, L., Thompson, P., MacDonald, D., Iacoboni, M., Schormann, T., Amunts, K., Palomero-Gallagher, N., Geyer, S., Parsons, L., Narr, K., Kabani, N., Le Goualher, G., Boomsma, D., Cannon, T., Kawashima, R., Mazoyer, B., 2001. A probabilistic atlas and reference system for the human brain:
Postprint (final draft post-refeering) 35 International Consortium for Brain Mapping (ICBM). Philos Trans R Soc Lond B Biol Sci. 356, 1293-1322. McNally, A.M., Palfai, T.P., 2001. Negative emotional expectancies and readiness to change among college student binge drinkers. Addict Behav. 26, 721-734. Medina, K.L., McQueeny, T., Nagel, B.J., Hanson, K.L., Schweinsburg, A.D., Tapert, S.F., 2008. Prefrontal cortex volumes in adolescents with alcohol use disorders: unique gender effects. Alcohol Clin Exp Res. 32, 386-394. Ministerio de Sanidad y Consumo de España, 2008. Prevención de los problemas derivados del alcohol: 1ª Conferencia de prevención y promoción de la salud en la práctica clínica en España. Madrid. Ministerio de Sanidad y Consumo de España. <http://www.sensefums.com/alcoholJovenes/docs/prevencionProblemasAlcohol.pdf> (retrieved October 25, 2008). Miyazato, Y., Ogura, C., 1993. Abnormalities in event-related potentials: N100, N200 and P300 topography in alcoholics. Japanese Journal of Psychiatry and Neurology 47, 853-862. Monti, P.M., Miranda, R., Jr., Nixon, K., Sher, K.J., Swartzwelder, H.S., Tapert, S.F., White, A., Crews, F.T., 2005. Adolescence: booze, brains, and behavior. Alcohol Clin Exp Res. 29, 207-220. Mulert, C., Jager, L., Schmitt, R., Bussfeld, P., Pogarell, O., Moller, H.J., Juckel, G., Hegerl, U., 2004. Integration of fMRI and simultaneous EEG: towards a comprehensive understanding of localization and time-course of brain activity in target detection. Neuroimage. 22, 83-94. Nagel, B.J., Schweinsburg, A.D., Phan, V., Tapert, S.F., 2005. Reduced hippocampal volume among adolescents with alcohol use disorders without psychiatric comorbidity. Psychiatry Res. 139, 181-190. National Institute on Alcohol Abuse and Alcoholism (NIAAA), 2004. National Institute of Alcohol Abuse and Alcoholism Council approves definition of binge drinking. NIAAA, Newsletter, 3.
Postprint (final draft post-refeering) 36 <http://pubs.niaaa.nih.gov/publications/Newsletter/winter2004/Newsletter_Number3.pd f > (retrieved October 25, 2008). Nichols, T.E., Holmes, A.P., 2002. Nonparametric permutation tests for functional neuroimaging: a primer with examples. Hum Brain Mapp. 15, 1-25. Nyberg, L., Marklund, P., Persson, J., Cabeza, R., Forkstam, C., Petersson, K.M., Ingvar, M., 2003. Common prefrontal activations during working memory, episodic memory, and semantic memory. Neuropsychologia. 41, 371-377. Nyberg, L., Persson, J., Habib, R., Tulving, E., McIntosh, A.R., Cabeza, R., Houle, S., 2000. Large scale neurocognitive networks underlying episodic memory. J Cogn Neurosci. 12, 163-173. Oscar-Berman, M., Marinkovic, K., 2007. Alcohol: effects on neurobehavioral functions and the brain. Neuropsychol Rev. 17, 239-257. Pascual-Marqui, R.D., 2002. Standardized low-resolution brain electromagnetic tomography (sLORETA): technical details. Methods Find Exp Clin Pharmacol. 24 Suppl D, 5-12. Pascual-Marqui, R. D., 2007. Discrete, 3D Distributed, Linear Imaging Methods of Electric Neuronal Activity. Part 1: Exact, Zero Error Localization. arXiv:0710.3341 [math-ph] http://arxiv.org/pdf/0710.3341 Pascual-Marqui, R.D., 2009. Theory of the EEG Inverse Problem. In: Tong, S., Thakor, N. (Eds), Quantitative EEG Analysis: Methods and Applications. Artech House, Boston, pp. 121-140. Pascual-Marqui, R.D., Michel, C.M., Lehmann, D., 1994. Low resolution electromagnetic tomography: a new method for localizing electrical activity in the brain. Int J Psychophysiol. 18, 49-65. Perlstein, W.M., Dixit, N.K., Carter, C.S., Noll, D.C., Cohen, J.D., 2003. Prefrontal cortex dysfunction mediates deficits in working memory and prepotent responding in schizophrenia. Biol Psychiatry. 53, 25-38.
Postprint (final draft post-refeering) 37 Pfefferbaum, A., Desmond, J.E., Galloway, C., Menon, V., Glover, G.H., Sullivan, E.V., 2001. Reorganization of frontal systems used by alcoholics for spatial working memory: an fMRI study. Neuroimage. 14, 7-20. Pizzagalli, D.A., Oakes, T.R., Fox, A.S., Chung, M.K., Larson, C.L., Abercrombie, H.C., Schaefer, S.M., Benca, R.M., Davidson, R.J., 2004. Functional but not structural subgenual prefrontal cortex abnormalities in melancholia. Mol Psychiatry. 9, 325, 393- 405. Presley, C.A., Pimentel, E.R., 2006. The introduction of the heavy and frequent drinker: a proposed classification to increase accuracy of alcohol assessments in postsecondary educational settings. J Stud Alcohol. 67, 324-331. Ranganath, C., Johnson, M.K., D'Esposito, M., 2003. Prefrontal activity associated with working memory and episodic long-term memory. Neuropsychologia. 41, 378-389. Riccio, C.A., Waldrop, J.J., Reynolds, C.R., Lowe, P., 2001. Effects of stimulants on the continuous performance test (CPT): implications for CPT use and interpretation. J Neuropsychiatry Clin Neurosci. 13, 326-335. Roberto, M., Nelson, T.E., Ur, C.L., Gruol, D.L., 2002. Long-term potentiation in the rat hippocampus is reversibly depressed by chronic intermittent ethanol exposure. J Neurophysiol. 87, 2385-2397. Rodríguez-Holguín, S., Corral, M., Cadaveira, F., 1999. Event-related potentials elicited by a visual continuous performance task in children of alcoholics. Alcohol. 19, 23-30. Rosvold, H.E., Mirsky, A.F., Sarason, I., Bransome, E.D., Jr., Beck, L.H., 1956. A continuous performance test of brain damage. J Consult Psychol. 20, 343-350. Rugg, M.D., Fletcher, P.C., Frith, C.D., Frackowiak, R.S., Dolan, R.J., 1996. Differential activation of the prefrontal cortex in successful and unsuccessful memory retrieval. Brain. 119 , 2073-2083. Rypma, B., Prabhakaran, V., Desmond, J.E., Glover, G.H., Gabrieli, J.D., 1999. Loaddependent roles of frontal brain regions in the maintenance of working memory. Neuroimage. 9, 216-226.
Postprint (final draft post-refeering) 38 Salgado-Pineda, P., Baeza, I., Perez-Gomez, M., Vendrell, P., Junque, C., Bargallo, N., Bernardo, M., 2003. Sustained attention impairment correlates to gray matter decreases in first episode neuroleptic-naive schizophrenic patients. Neuroimage. 19, 365-375. Salgado-Pineda, P., Junqué, C., Vendrell, P., Baeza, I., Bargallo, N., Falcón, C., Bernardo, M., 2004. Decreased cerebral activation during CPT performance: structural and functional deficits in schizophrenic patients. Neuroimage. 21, 840-847. Schendan, H.E., Maher, S.M., 2009. Object knowledge during entry-level categorization is activated and modified by implicit memory after 200 ms. Neuroimage. 44, 1423-1438. Schweinsburg, B.C., Alhassoon, O.M., Taylor, M.J., Gonzalez, R., Videen, J.S., Brown, G.G., Patterson, T.L., Grant, I., 2003. Effects of alcoholism and gender on brain metabolism. Am J Psychiatry. 160, 1180-1183. Sekihara, K., Sahani, M., Nagarajan, S.S., 2005. Localization bias and spatial resolution of adaptive and non-adaptive spatial filters for MEG source reconstruction. Neuroimage. 25, 1056-1067. Silvers, J.M., Tokunaga, S., Mittleman, G., Matthews, D.B., 2003. Chronic intermittent injections of high-dose ethanol during adolescence produce metabolic, hypnotic, and cognitive tolerance in rats. Alcohol Clin Exp Res. 27, 1606-1612. Syre, T.R., Martino-McAllister, J.M., Vanada, L.M., 1997. Alcohol and other drug use at a university in the southeastern United Status: survery findings and implications. Coll Stud. J 31, 373-381. Tapert, S.F., Brown, S.A., 1999. Neuropsychological correlates of adolescent substance abuse: four-year outcomes. J Int Neuropsychol Soc. 5, 481-493. Tapert, S.F., Brown, G.G., Kindermann, S.S., Cheung, E.H., Frank, L.R., Brown, S.A., 2001. fMRI measurement of brain dysfunction in alcohol-dependent young women. Alcohol Clin Exp Res. 25, 236-245. Tapert, S.F., Granholm, E., Leedy, N.G., Brown, S.A., 2002. Substance use and withdrawal: neuropsychological functioning over 8 years in youth. J Int Neuropsychol Soc. 8, 873- 883.
Postprint (final draft post-refeering) 39 Tapert, S.F., Schweinsburg, A.D., Barlett, V.C., Brown, S.A., Frank, L.R., Brown, G.G., Meloy, M.J., 2004. Blood oxygen level dependent response and spatial working memory in adolescents with alcohol use disorders. Alcohol Clin Exp Res. 28, 1577-1586. Tokunaga, S., Silvers, J.M., Matthews, D.B., 2006. Chronic intermittent ethanol exposure during adolescence blocks ethanol-induced inhibition of spontaneously active hippocampal pyramidal neurons. Alcohol Clin Exp Res., 30, 1-6. Townshend, J., M., Duka, T., 2002. Patterns of alcohol drinking in a population of young social drinkers: a comparison of questionnaire and diary measures. Alcohol Alcohol., 37, 187- 192. Townshend, J., M., Duka, T., 2005. Binge drinking, cognitive performance and mood in a population of young social drinkers. Alcohol Clin Exp Res., 317-325. Tulving, E., Kapur, S., Craik, F.I., Moscovitch, M., Houle, S., 1994. Hemispheric encoding/retrieval asymmetry in episodic memory: positron emission tomography findings. Proc Natl Acad Sci USA., 2016-2020. Varela, J., Braña, T., Real, E., Rial, A., 2005. Validación empírica do AUDIT (Cuestionario de Identificación dos trastornos debidos ó consumo de alcohol) na poboación xeral galega (Validation of AUDIT for Galician population). Conselleria de Sanidade (Xunta de Galicia), Santiago de Compostela. Vitacco, D., Brandeis, D., Pascual-Marqui, R., Martin, E., 2002. Correspondence of eventrelated potential tomography and functional magnetic resonance imaging during language processing. Hum Brain Mapp. 17, 4-12. Volkow, N.D., Hitzemann, R., Wang, G.J., Fowler, J.S., Burr, G., Pascani, K., Dewey, S.L., Wolf, A.P., 1992. Decreased brain metabolism in neurologically intact healthy alcoholics. Am J Psychiatry. 149, 1016-1022. Volkow, N.D., Wang, G.J., Hitzemann, R., Fowler, J.S., Overall, J.E., Burr, G., Wolf, A.P., 1994. Recovery of brain glucose metabolism in detoxified alcoholics. Am J Psychiatry. 151, 178-183.
Postprint (final draft post-refeering) Table 3. Brain areas with significantly lower activation associated to LPC in the binge drinking than in the control group for matching stimuli. Anatomical region (BA) MNI coordinates Log-F-ratio Anterior Prefrontal Cortex (aPFC) Superior Frontal Gyrus (10) (20, 65, 10) -2.88* Medial Frontal Gyrus (10) (15, 65, 15) -2.86* (10, 65, 15) -2.85* * corrected P<0.05; BA: Brodmann area; MNI: Montreal Neurological Institute. Table 3_revised
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