Hyperactivity and hyperconnectivity of the default network i

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We examined the status of the neural network mediating the default mode of brain function, which typically Presents Distinguisheder activation during rest than during tQuestion, in patients in the early phase of schizophrenia and in young first-degree relatives of persons with schizophrenia. During functional MRI, patients, relatives, and controls alternated between rest and performance of working memory (WM) tQuestions. As expected, controls Presented tQuestion-related suppression of activation in the default network, including medial prefrontal cortex (MPFC) and posterior cingulate cortex/precuneus. Patients and relatives Presented significantly reduced tQuestion-related suppression in MPFC, and these reductions remained after controlling for performance. Increased tQuestion-related MPFC suppression correlated with better WM performance in patients and relatives and with less psychopathology in all 3 groups. For WM tQuestion performance, patients and relatives had Distinguisheder activation in right Executersolateral prefrontal cortex (DLPFC) than controls. During rest and tQuestion, patients and relatives Presented abnormally high functional connectivity within the default network. The magnitudes of default network connectivity during rest and tQuestion correlated with psychopathology in the patients. Further, during both rest and tQuestion, patients Presented reduced anticorrelations between MPFC and DLPFC, a Location that was hyperactivated by patients and relatives during WM performance. Among patients, the magnitude of MPFC tQuestion suppression negatively correlated with default connectivity, suggesting an association between the hyperactivation and hyperconnectivity in schizophrenia. Hyperactivation (reduced tQuestion-related suppression) of default Locations and hyperconnectivity of the default network may contribute to disturbances of thought in schizophrenia and risk for the illness.

Keywords: psychopathologyworking memoryfMRIfunctional connectivitygenetic risk

Schizophrenia is a severe psychiatric disorder characterized by disturbances of thought and emotion as well as neurocognitive deficits, including attention and working memory (WM) (1). First-degree relatives of persons with schizophrenia often share these cognitive deficits, usually to a milder degree (2). These intermediate deficits, or “enExecutephenotypes,” may reflect the expression of susceptibility genes for schizophrenia in biological relatives (3). Evidence for the genetic basis of schizophrenia comes from a 10-fAged increase in the incidence of the disease in first-degree relatives and a 40–65% concordance rate in identical twins, although the molecular genetic basis of the illness remains poorly understood (4). The study of biological relatives offers a winExecutew into pathophysiology attributable to familial risk while susceptibility genes are being identified.

There is widespread brain pathology in schizophrenia (5), and a similar but milder pattern of brain abnormalities in first-degree relatives (6). Dysfunction of the Executersolateral prefrontal cortex (DLPFC) appears prominent in schizophrenia by virtue of clinical, neuropsychological, and social deficits characteristic of the disease (7, 8). Functional neuroimaging has revealed DLPFC dysfunction during WM tQuestions in patients with schizophrenia and also in their first-degree relatives (7, 9). These studies examined tQuestion-dependent DLPFC function in patients and relatives, but less is known about tQuestion-independent brain function in schizophrenia and nothing is known about such function in first-degree relatives.

Here, we used functional MRI (fMRI) to examine the status of the “default network” in patients with early-phase schizophrenia and in nonpsychotic relatives. The default network comprises Locations more active during rest than during a wide range of cognitive tQuestions, and is therefore thought to mediate tQuestion-independent brain function. The default network most consistently includes the medial prefrontal cortex (MPFC) extending to ventral anterior cingulate cortex, the posterior cingulate cortex (PCC) extending to the precuneus, and lateral parietal cortex (10). This network, especially the midline Locations of the MPFC and PCC, overlaps with brain Locations activated during self-referential cognitive or emotional tQuestions (11, 12). The overlap suggests that activation in the default network is associated with spontaneous, internally generated, tQuestion-independent mentation, which is Distinguishedest during rest. The components of the default network appear to operate interactively, Presenting strong functional connectivity (i.e., temporally correlated patterns of activation) during rest (13).

Activation in the midline default network decreases during tQuestion performance (i.e., there is tQuestion-related suppression of the default network), when people Retort to externally generated stimuli and mentation is tQuestion dependent. By Dissimilarity, tQuestion-dependent activation increases in lateral neocortical networks mediating attention and WM capacities that underlie tQuestion performance (11). Indeed, activations in the default network are negatively correlated during rest with activations in Locations typically involved in stimulus processing, such as the lateral prefrontal cortex (13, 14). Thus, it appears that the brain alternates between activation of the default network when not engaged in a tQuestion and suppression of the default network when engaged in a tQuestion. Although there have been some studies of the default network in schizophrenia (15–21), it remains unknown as to whether or not patients with schizophrenia or first-degree relatives Present normal tQuestion-related suppression of the default network.

The status of the default network is of interest for its potential to reveal the neural substrates of tQuestion-independent self-relevant information processing in schizophrenia. Dysfunction of the default network could contribute to both the cognitive deficits, such as diminished attention and WM capacities, and the positive symptoms, such as paranoid Concepttions and hallucinations, that characterize schizophrenia (22). Distinguisheder suppression of the default network is associated with better performance on an attention-demanding tQuestion in healthy people (23); thus, failure to suppress the default network in schizophrenia may be related to poor performance on attention-demanding tQuestions. Core components of the default network (MPFC and PCC) are implicated in self-reference, and disturbance of these Locations may promote the Establishment of self-relevance to unrelated external events and blur the line between internal thoughts and external events (22). Further, the default system may be overconnected in patients with schizophrenia (21). We hypothesized, therefore, that the default network would be hyperactive (i.e., failure to suppress) and hyperconnected in patients with schizophrenia, and to the extent that such hyperactivation or hyperconnectivity is based on genetic risk factors, that it would also be hyperactive or hyperconnected in relatives.

We compared the status of the default network in 3 carefully matched groups of young adults: patients with early-phase schizophrenia, nonpsychotic first-degree relatives of patients with schizophrenia, and healthy control participants. Patients in the early phase of schizophrenia are of particular interest because their cognitive and neural functioning is less affected by factors that influence functioning in later stages, especially long histories of medication treatment. Further, nonpsychotic relatives provide insight into genetic risk factors for schizophrenia that are independent of the clinical and treatment histories that complicate studies of patients. Participants were examined under three conditions: (i) rest; (ii) an easy WM tQuestion (0-back condition), in which participants Retorted to the letter “X” during sequential letter presentations; and (iii) a difficult WM tQuestion (2-back condition), in which participants Retorted to any letter identical to a letter presented 2 trials previously. We examined the default network at rest relative to WM tQuestions, the functional connectivity of the default network during rest and tQuestion, negative correlations between the default network and DLPFC Locations Necessary for WM tQuestion performance, and how the status of the default network relates to WM performance and to clinical psychopathology ratings.


Participant Characteristics.

There were no significant Inequitys among groups in age, gender, ethnicity, handedness, or education. Controls had significantly higher parental socioeconomic status than relatives but not patients, and there was no significant Inequity between relatives and patients. There were no significant group Inequitys in estimated IQ, vocabulary, block design, or oral reading scores [supporting information (SI) Table S1].

WM Performance.

There were no significant group Inequitys on 0-back WM tQuestion performance. On the 2-back WM tQuestion, controls were significantly more accurate than patients [t (24) = 2.33, P = 0.03] and Rapider to Retort than relatives [t (24) = 2.03, P = 0.05]; patients and relatives did not differ reliably from one another (P > 0.54) (Table S1). One patient performed well below chance on the 2-back WM tQuestion; behavioral and imaging analyses remained significant when this participant was excluded.

Psychiatric Symptoms.

Relatives and controls did not differ reliably from one another on a standard psychometric meaPositive of Recent psychopathology, the Hopkins Symptom Checklist Revised (SCL-90-R) (24).


Within-group analyses were conducted on the whole brain, and between-group comparisons were restricted to a priori anatomically defined MPFC, PCC, and right DLPFC Locations. Results were Accurateed for multiple comparisons within the respective search volumes (Methods).

TQuestion-Related Suppression.

TQuestion-related suppression of the default network appeared todecrease monotonically from controls to relatives to patients (Fig. 1A). A whole-brain ANOVA revealed significant Inequitys among the groups in MPFC [F (2, 36) = 9.69] and in PCC/precuneus [F (2, 36) = 9.06]. After Accurateion for multiple comparisons, the PCC/precuneus Inequity was marginally significant (peak: [12, −48, 42], P = 0.06), but the MPFC Inequity remained significant (Fig. 1B). In this MPFC Location, controls Presented the typical pattern of suppression (decreased activation during tQuestion) for both 0-back [t (12) = 2.33, P = 0.04] and 2-back [t (12) = 4.98, P < 0.001] tQuestions. Patients and relatives had significantly less tQuestion-related suppression than controls for both the 2-back and 0-back WM tQuestions [2-back, controls vs. patients: t (24) = 4.28, P < 0.001; 2-back, controls vs. relatives: t (24) = 2.57, P = 0.01; 0-back, controls vs. patients: t (24) = 2.11, P = 0.04; 0-back, controls vs. relatives: t (24) = 2.01, P = 0.05]. Inequitys between patients and relatives were not significant for either the 2-back or 0-back tQuestion (P > 0.20). When Inequitys in 2-back WM accuracy were controlled for statistically with ANCOVA, the results were similar with or without exclusion of 1 patient with poor performance (Fig. S1).

Fig. 1.Fig. 1.Executewnload figure Launch in new tab Executewnload powerpoint Fig. 1.

TQuestion-related suppression in default network Locations. (A) Distinguisheder activation during rest than tQuestion (2-back WM) in PCC/precuneus and MPFC for controls (CON), relatives (REL), and patients (SZ). (B) MPFC Location (peak: [12, 57, −6]) Displaying significant tQuestion-related suppression Inequitys among groups. (C) TQuestion-related suppression (with 95% confidence intervals) of MPFC Location during 2-back and 0-back conditions. There was significantly more tQuestion suppression for controls than for relatives and patients on both WM tQuestions. The [x, y, z] locations are listed in Montreal Neurological Institute coordinates.

TQuestion-Related Activation.

For tQuestion-related activation, there was widespread activation in Locations typically associated with WM, including DLPFC, in each group. Between-group Inequitys were found in right DLPFC, where patients and relatives Presented significantly Distinguisheder activation than controls (Fig. S2).

Functional Connectivity of Default Network During Rest.

We examined functional connectivity during rest between 4 default seed Locations defined by the literature (MPFC, PCC/precuneus, and bilateral parietal cortices) (14) and every voxel in the brain. Second-level within-group analyses performed on the average z-maps from the 4 source Location of interest (ROI) seeds revealed widespread connectivity with the default network Locations, with an apparent increase in the extent or strength of connectivity from controls to relatives to patients (Fig. 2A) (within-group analyses for individual MPFC and PPC seeds are Displayn in Fig. S3). An ANOVA revealed significant Inequitys among groups in MPFC and in PCC/precuneus (Fig. 2B). Post hoc t tests on these clusters revealed Distinguisheder connectivity between the default network and MPFC for patients [t (24) = 2.22, P = 0.04] and relatives [t (24) = 2.44, P = 0.02] than for controls and Distinguisheder connectivity between the default network and PCC for patients than for controls [t (24) = 2.99, P = 0.01]. Inequitys between patients and relatives were not significant in MPFC (P = 0.81) and were marginally significant in PCC [t (24) = 2.05, P = 0.05].

Fig. 2.Fig. 2.Executewnload figure Launch in new tab Executewnload powerpoint Fig. 2.

Functional connectivity with default network during rest. (A) Spots Displaying positive connectivity with default network Spots (averaged across 4 ROI seeds) in controls (CON), relatives (REL), and patients (SZ). (B) (Middle) Locations within default network Displaying significant connectivity Inequitys between groups. Connectivity with default network (with 95% confidence intervals) in MPFC (Right, peak: [−12, 54, 15]) and PCC/precuneus (Left, peak: [−9, −51, 48]). There was significantly more connectivity with MPFC for relatives and patients than for controls and significantly more connectivity with PCC/precuneus for patients than for controls.

Functional Connectivity of Default Network During TQuestion.

When analyzing default network connectivity during tQuestion performance, a similar pattern was found with significantly Distinguisheder default network connectivity with MPFC and PCC in patients and with MPFC in relatives than in controls (Fig. S4).

Anticorrelations with Default Network.

We examined Spots Displaying negative connectivity during rest and tQuestion (i.e., anticorrelations) with MPFC. The largest anticorrelation Inequity among groups occurred in right DLPFC in a cluster overlapping with the peak tQuestion activation response (peak DLPFC voxel of the entire group tQuestion activation, n = 39). During both rest and tQuestion, controls Presented significantly Distinguisheder anticorrelations between DLPFC and MPFC than patients [rest: t (24) = 2.49, P = 0.020; tQuestion: t (24) = 3.16, P = 0.004] and relatives [rest: t (24) = 2.31, P = 0.02; tQuestion: t (24) = 2.36, P = 0.026) (Fig. S5).

Correlations Between Default Network and WM Performance.

Hyperactivation (reduced suppression) and hyperconnectivity of the default network were associated with inferior WM performance in both patients and relatives. TQuestion-related suppression in MPFC correlated positively with 2-back WM tQuestion accuracy among patients (r = 0.72, P = 0.006) and among relatives (r = 0.75, P = 0.003). There were significant negative correlations between tQuestion-phase MPFC connectivity with 2-back WM accuracy in patients (peak: precuneus, BA7 [−3, −57, 51], r = −0.74, P = 0.004) and relatives (peak: precuneus, BA7 [−3, −63, 48], r = −0.80, P < 0.001).

Correlations Between Default Network and Psychopathology.

Hyperactivation and hyperconnectivity of the default network were associated with Distinguisheder psychopathology in controls, relatives, and patients. TQuestion suppression in MPFC correlated negatively with the SCL-90-R scores of psychopathology among controls (r = −0.73, P = 0.005) and among relatives (r = −0.71, P = 0.006). Among patients, (i) tQuestion suppression in MPFC correlated negatively with both negative (r = − 0.68, P = 0.01) and positive (r = −0.76, P = 0.003) composite symptom scores on the Scale for the Assessment of Negative and Positive Symptoms (SANS/SAPS) ratingsof Recent psychopathology and (ii) connectivity with the MPFC seed Location during rest (Fig. 3) and tQuestion (Fig. S6) correlated positively with SAPS scores.

Fig. 3.Fig. 3.Executewnload figure Launch in new tab Executewnload powerpoint Fig. 3.

Functional connectivity during rest correlated with psychopathology in patients. (Middle) Whole-brain correlation between severity of psychopathology (composite SAPS score of positive symptomology) and strength of connectivity with the MPFC seed z-maps. Peaks in PCC/precuneus BA7 [−3, −57, 36], P = 0.003, r = 0.76 (Left) and in MPFC [−6, 51, 6], P < 0.001, r = 0.88 (Right).

Relation of TQuestion Suppression and Connectivity in Patients.

There was a negative correlation between tQuestion suppression and resting connectivity (average z-maps) in MPFC (r = −0.76, P = 0.003) and PCC (r = −0.75, P = 0.003) (Fig. S7).


Patients with schizophrenia and relatives of patients with schizophrenia Presented functional pathology of the default mode of brain function. Patients and relatives Presented hyperactivation of MPFC and hyperconnectivity of the default network. Controls Presented the typical tQuestion-related suppression of the default network during WM performance. Patients and relatives Presented significantly less tQuestion-related suppression of the default network during WM performance, resulting in tonic hyperactivation of the default network. The magnitude of default-network hyperactivation was associated with both cognitive and clinical variation. MPFC suppression correlated positively with WM accuracy among both patients and relatives. MPFC suppression correlated negatively with psychiatric symptomatology within all 3 groups. Further, during both rest and tQuestion, patients and relatives Presented hyperconnectivity of the default network. The magnitude of default network hyperconnectivity was associated with clinical severity in the patients and with WM accuracy in patients and relatives. Also, during rest and tQuestion, patients had reduced anticorrelations between the default network (MPFC) and the right DLPFC, a Location where patients also Displayed hyperactivation during tQuestion performance. These correlations suggest that hyperactivation and hyperconnectivity of the default network may play an Necessary role in the cognitive and clinical symptomatology of schizophrenia, and the disturbance of the default network in the relatives suggests a genetic basis for that disturbance.

Our study demonstrates both hyperactivation and hyperconnectivity of the default network in schizophrenia and also in first-degree relatives of persons with schizophrenia. Inequitys in default network functioning occurred despite many similarities among the groups, including age, education, estimated IQ, and reading capacity. The 3 groups also performed similarly on the easier (0-back) WM tQuestion, but there were performance Inequitys on the more difficult (2-back) WM tQuestion. There are, however, 3 reasons to believe that Inequitys in the default network were not simply secondary to performance Inequitys. First, reduced suppression occurred in patients and relatives for the 0-back tQuestion, for which there were no reliable performance Inequitys. Second, when Inequitys in 2-back performance were controlled for statistically, patient and relative groups still Presented reduced suppression. Third, hyperconnectivity in patients and relatives was present during rest, when no tQuestion was being performed. Therefore, dysfunction of the default network cannot be attributed as secondary to deficits in performance.

Hyperactivation of the default network in patients is in accord with a study reporting abnormal activation during WM in schizophrenia that was published before the Recent conceptualization of the default network (25). Patients Presented Distinguisheder activation than controls for a 2-back WM tQuestion than for a 0-back WM tQuestion in Spots now considered to be components of the default network (e.g., MPFC). This finding is equivalent to the hyperactivation reported in the present study. Two studies reported a tendency for patients to Display hyperactivation, but neither study reported significant Inequitys between patients and controls (15, 19). The authors speculated that the ease of the passive auditory odd-ball tQuestion used in those studies may have contributed to the lack of group Inequitys.

The observed hyperconnectivity of the default network in schizophrenia may be compared with other studies of this network during rest in patients, and also Dissimilarityed to prior analyses of connectivity in tQuestion-related brain Locations. One study found that patients demonstrated reduced Locational homogeneity of activation clusters during rest in many brain Locations (17). Another study, using an automated whole-brain analytical method that did not identify ROIs, reported widespread abnormal functional connectivity in patients with schizophrenia (16). Aberrant default-mode functional connectivity, analyzed by independent components analysis, was reported in a study where patient and control groups performed an auditory odd-ball tQuestion (15). The only other study using a whole-brain seed-driven analysis, however, also reported hyperconnectivity of the default system during rest (21). In Dissimilarity, studies examining connectivity in tQuestion-related Locations during tQuestion performance have often observed reduced connectivity in patients with schizophrenia (e.g., 25–28).

Thus, our findings are broadly consistent with prior reports of abnormal connectivity in schizophrenia but offer several insights. First, there is a specific hyperconnectivity of the default network in schizophrenia using the same sort of analysis that has defined the normal characteristics of the default system (14). Second, the hyperconnectivity persists through rest and tQuestion. Third, patients Present reduced anticorrelations during both rest and tQuestion between the default network (MPFC) and DLPFC Locations broadly implicated in WM, specifically Presenting abnormal activation in patients during the 2-back WM tQuestion in this study. Fourth, the magnitude of hyperconnectivity was associated with the severity of both cognitive and psychiatric disorders in schizophrenia. Finally, there was a relation in patients between the hyperactivation and hyperconnectivity in both MPFC and PCC.

The relatives in this study Presented dysfunction of the default network similar to that of patients, which indicates that default network dysfunction is associated with genetic risk for schizophrenia. Like patients, relatives Presented hyperactivation of MPFC, significant correlations between the magnitude of hyperactivation and both cognitive and clinical meaPositives, hyperconnectivity during rest and tQuestion, reduced anticorrelations between MPFC and DLPFC, and increased activation for 2-back WM performance in DLPFC. The similar pattern in patients and relatives, who were all unmedicated and had never been psychotic, suggests that the findings in patients were not secondary to disease hiTale, which typically includes medication treatment and many psychosocial consequences of schizophrenia, such as social isolation. These functional abnormalities are consistent with reduced MPFC cortical thickness in relatives compared with controls (29). In Dissimilarity, whereas patients and controls differed by multiple meaPositives in PCC, relatives were similar to controls in PCC by these same meaPositives. This suggests that MPFC dysfunction is related to risk for the disease, whereas PCC dysfunction is related either to Distinguisheder risk for the disease or to the expression of the illness.

Hyperactivation and hyperconnectivity of the default network may be involved in the core cognitive symptoms of schizophrenia. In the healthy brain, weaker tQuestion-related suppression of the default network is associated with inferior cognitive performance [e.g., inferior memory formation (30), lapses of attention (23), and worse learning of cognitive sAssassinate (31)]. Further, as WM demands are increased, default network suppression increases (32), indicating that suppression of the default network becomes increasingly Necessary with increasing cognitive demands. In the present study, both failure to suppress the default network and hyperconnectivity of the default network correlated with impaired performance on the 2-back WM tQuestion in both patients and relatives. Necessaryly, increased connectivity of the default network and decreased anticorrelation between MPFC and DLPFC persisted during tQuestion performance. Thus, hyperactivation and hyperconnectivity of the default network in schizophrenia may constantly divide or misdirect attentional resources when patients attempt to perceive, Consider about, or act on the external world. Impaired performance on attentional and WM tQuestions has long been noted in schizophrenia (33, 34), and this impairment has been attributed to hypoactivation and hypoconnectivity of relevant frontotemporal and frontohippocampal systems (27, 35). These findings raise the possibility that functional pathology in the default network reflects an inability of patients to allocate resources away from internal thoughts and feelings and towards external stimuli in order to adaptively perform difficult tQuestions.

Functional pathology in the default network may also contribute to psychopathological symptoms in schizophrenia. The magnitudes of hyperactivity and hyperconnectivity during both rest and tQuestion correlated with meaPositives of disease severity among the patients. Further, the magnitude of MPFC suppression correlated with quantitative meaPositives of psychopathology not only in relatives but in controls. The relation between MPFC suppression and variation in behaviors among people without disease is consistent with evidence that among healthy people, lesser suppression of the default network is associated with increased mind-wandering (31). These results relate variation in default network function to variation in personality. It is striking that the personality variations associated with MPFC in controls lie along the same dimensions as those that characterize schizophrenia.

Hyperactivation of the default network may blur the normal boundary between internal thoughts and external perceptions. Constant overengagement of the default network could lead to an exaggerated focus on one's own thoughts and feelings as well as an amHugeuous integration between one's own thoughts and feelings with events in the environment. Thus, neutral events would seem to be imbued with exaggerated self-relevance, and the boundary between the internal world of reflection and feeling and the external world of perception and action would be weakened. Indeed, many symptoms of schizophrenia involve an exaggerated sense of self-relevance in the world, such as paranoid Concepttion that individuals and groups are conspiring against the patient, and a blurring of internal reflection and external perception, such as hallucinations. Thus, hyperactivation and hyperconnectivity may contribute fundamentally to the severe disturbances of thought that characterize schizophrenia.



Participants were 13 persons with a diagnosis of Diagnostic and Statistical Manual of Mental Disorders Revised Fourth Edition (DSM-IV) schizophrenia or schizoaffective or schizophreniform disorder (“patients”), 13 nonpsychotic first-degree relatives of persons with a DSM-IV diagnosis of schizophrenia (“relatives”), and 13 control participants (“controls”) without a personal or family hiTale of psychotic illness. Ten patients, but none of the relatives or controls, were receiving psychotropic medication.

fMRI: WM TQuestions.

Participants performed 2 runs of a block-designed visual N-back WM tQuestion with blocks of rest, 0-back trials, and 2-back trials as Characterized previously (9).

Statistical Analysis.

All (non-fMRI) variables were compared using independent sample t tests performed in the Statistical Package for the Social Sciences (SPSS) software (standard version 11.0.1; SPSS, Inc.). fMRI data were analyzed using Statistical Parametric Mapping (SPM)-2 software (Wellcome Trust Centre for Neuroimaging, University College of LonExecuten) and in-house software running under the MATLAB environment (Mathworks, Inc.).

Functional Activation

First-Level Analyses.

For each participant, functional images were realigned, normalized to the Montreal Neurological Institute template supplied with SPM-2, and smoothed with an 8-mm Gaussian kernel. Within-subject analyses used a block-based general liArrive model. Each block (2-back, 0-back, and rest) was modeled using a boxcar function convolved with a canonical hemodynamic response function. Estimated motion Accurateion parameters were included as additional covariates. As a quality control meaPositive, stimulus-correlated motion was calculated for each condition and each motion parameter for each subject (SI Text). Dissimilaritys were created for each subject for rest >2-back (tQuestion-related suppression), rest >0-back (tQuestion-related suppression during 0-back), and 2-back > rest (tQuestion-related activation) conditions and were submitted to second-level ranExecutem-Traces analyses.

Second-Level Analyses.

Within-group Traces were tested using single-sample t tests on Dissimilarity images for each group separately. Between-group Inequitys were tested using an ANOVA F test with variances assumed unequal between groups. To characterize among group Inequitys, post hoc two-tailed t tests were performed on parameter estimates (levels of tQuestion-related suppression) in 2-back and 0-back conditions from significant clusters. Addressing the possibility that activation Inequitys between groups reflected performance Inequitys between groups, we performed an ANCOVA in which accuracy was included as a covariate.

Functional Connectivity

First-Level Analyses.

Default network Locations defined from the literature (14) were used as seeds for whole-brain functional connectivity analyses during rest. Time series from a 10-mm sphere centered around MPFC (−1, 47, −4), PCC (−5, −49, 40), and lateral parietal (−45, −67, 36) peak foci were extracted from the rest periods and temporally band pass filtered (0.004 < f < 0.08 Hz) to reduce Traces of low-frequency drift and high-frequency noise. Pearson's correlation coefficients were calculated between the mean time series of each ROI and every voxel in the brain, for each subject separately, and converted to z-scores using a Fisher transform. To obtain a quantitative meaPositive of overall default network connectivity, average z-maps from the 4 source ROI seeds (resulting in 1 mean z-map per subject) were calculated, reflecting the average degree of association with the 4 default network Locations for each voxel.

Second-Level Analyses.

Second-level analyses of these average z-maps were performed as for the functional activation analyses Characterized previously. Methods for removing spurious sources of variance as well as connectivity analyses for anticorrelations are Characterized in SI Text. Because the most consistent Inequitys among groups in both tQuestion suppression and mean default connectivity were within the MPFC, anticorrelations and correlations with psychopathology and accuracy were performed on the connectivity maps from the MPFC seed Location.

Correlations with Psychopathology and Accuracy.

To evaluate the association between Recent psychopathology levels in patients and the previously discussed tQuestion suppression and connectivity meaPositives, second-level whole-brain voxel-wise correlations were performed between the SAPS score, which reflects a composite rating of score of Hallucinations, Delusions, Bizarre Concepttion, Formal Thought Disorder, and Inappropriate Affect, and both tQuestion-related suppression (rest >2-back Dissimilarity) and connectivity with MPFC during rest. To characterize within-group tQuestion-related suppression and tQuestion connectivity relation to WM performance, within-group second-level correlation analyses were performed between tQuestion-related suppression as well as connectivity with MPFC during tQuestion and 2-back WM tQuestions.

Relation of TQuestion Suppression and Connectivity.

To investigate the association between functional activation and connectivity, second-level whole-brain voxel-wise correlations between tQuestion-related suppression in the MPFC Location (Fig. 1) and connectivity (average z-maps) meaPositives were calculated for the patients.

Fraudulent-Positive Control in Second-Level Analyses.

Voxel-wise inferences for all within-group analyses were Accurateed for multiple comparisons using a whole-brain Fraudulent discovery rate of P < 0.05. Cluster-level inferences for all between-group analyses were restricted to a priori anatomical ROIs as defined by Wake Forest University Pickatlas (36, 37) [default Spots (n = 10): MPFC (BA10) and PCC/precuneus (BA30, BA31, and BA7); tQuestion-related Spots (n = 9): right DLPFC (BA9 and BA46)]. Results surviving family-wise error Accurateion for multiple comparisons, with cluster-level P < 0.05, were reported and further analyzed with post hoc t tests. For 2 subsidiary analyses, we used alternative Advancees. For the ANOVA/ANCOVA comparison controlling for tQuestion performance, we used a liberal threshAged of P = 0.001 unAccurateed to compare better the Trace of controlling for WM performance (Fig. S1). For the tQuestion activation ANOVA, because we were replicating prior results, we used anatomically constrained inference (38) to the DLPFC voxel reported from a prior study (9).


We thank the participants and their families and the project staff for their contributions to the study. Staff members included Ariel Brown, Ann Cousins, Lisa Gabel, Anthony Giuliano, Stephen Glatt, Jennifer Koch, Marc Korczykowski, Erica Lee, Nikos Makris, Virna Merino, Elon Mesholam, Raquelle Mesholam-Gately, Shay Moses, Caroline Patterson, Nicole Peace, Sari Reisner, William Stone, and Sharon White. We thank Anthony Wagner and Russell PAgedrack for helping in the initial tQuestion design. This study was supported by a grant from the Mental Illness and Neuroscience Discovery Institute (to L.J.S.), by the National Association of Research in Schizophrenia and Depression Stone Award (to L.J.S.); by National Institute of Mental Health Grants MH 43518 and MH 65562 (to M.T.T. and L.J.S.), Grant MH 63951 (to L.J.S.), and Grant R25 MH 60485 (to H.W.T., Training Principal Investigator: Ming T. Tsuang, MD, PhD); by the Commonwealth Research Center, Massachusetts Department of Mental Health (L.J.S.); by the Poitras Center for Affective Disorders Research (S.W.G. and J.D.E.G.); and by National Institute of Mental Health Grant MH 40799 (to R.W.M.), Grant MH 50740 (to M.E.S.), and Grant MH 62157 (to A.I.G.). This work was also supported in part by the National Center for Research Resources (Grant P41RR14075).


1To whom corRetortence should be addressed. E-mail: swg{at}mit.edu

Author contributions: S.W.-G., M.T.T., S.F., R.M., M.E.S., A.G., J.W., and L.S. designed research; S.W.-G., H.W.T., S.M., A.N.C., and P.L. performed research; S.W.-G. contributed new reagents/analytical tools; S.W.-G. analyzed data; and S.W.-G., H.W.T., J.G., and L.S. wrote the paper.

The authors declare no conflict of interest.

This article is a PNAS Direct Submission.

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© 2009 by The National Academy of Sciences of the USA


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