High b-value diffusion tractography: Abnormal axonal network organization associated with medication-refractory epilepsy.

Diffusion magnetic resonance imaging (dMRI) tractography has played a critical role in characterizing patterns of aberrant brain network reorganization among patients with epilepsy. However, the accuracy of dMRI tractography is hampered by the complex biophysical properties of white matter tissue. High b-value diffusion imaging overcomes this limitation by better isolating axonal pathways. In this study, we introduce tractography derived from fiber ball imaging (FBI), a high b-value approach which excludes non-axonal signals, to identify atypical neuronal networks in patients with epilepsy. Specifically, we compared network properties obtained from multiple diffusion tractography approaches (diffusion tensor imaging, diffusion kurtosis imaging, FBI) in order to assess the pathophysiological relevance of network rearrangement in medication-responsive vs. medication-refractory adults with focal epilepsy. We show that drug-resistant epilepsy is associated with increased global network segregation detected by FBI-based tractography. We propose exploring FBI as a clinically feasible alternative to quantify topological changes that could be used to track disease progression and inform on clinical outcomes.

Cortical disconnection in temporal lobe epilepsy.

A critical concept in neurology is cortical disconnection, in which seemingly normal gray matter can have reduced function due to loss of white matter (WM) connections. White matter damage has been extensively described in temporal lobe epilepsy (TLE), but the anatomical distribution of cortical disconnection in TLE is not fully characterized. Here, we studied 221 participants (64 left-TLE, 55 right-TLE, 102 controls) from three different epilepsy treatment centers. We employed a group connectometry diffusion imaging tractography approach to identify WM fibers with reduced integrity in TLE. We then assessed the anatomical distribution of the gray matter endpoint projections of abnormal fibers to map the anatomical pattern of disconnections. As expected, left- and right-TLE were associated with multiple WM pathways with reduced integrity, which were associated with extensive cortical disconnection involving predominantly limbic structures. Controlling for medial temporal gray matter atrophy, cortical disconnection of the left cingulum and the thalamus as well as disconnection of the bilateral putamen and the amygdala was associated with lower verbal memory immediate recall. In conclusion, our results support that cortical disconnection is an underappreciated but pervasive phenomenon in TLE, and cortical disconnection of limbic structures beyond the medial temporal regions is related to verbal memory performance.

PedsQL™ Cognitive Functioning Scale in youth with epilepsy: Reliability and validity.

OBJECTIVE: The objective of the study was to report on the internal consistency reliability and discriminant, concurrent and construct validity of the Pediatric Quality of Life Inventory™ (PedsQL™) Cognitive Functioning Scale as a brief generic cognitive functioning measure in youth with epilepsy. METHODS: The 6-item PedsQL™ Cognitive Functioning Scale and 23-item PedsQL™ 4.0 Generic Core Scales were completed by 221 pediatric patients ages 5-18 years with epilepsy and 336 parents of patients ages 2-18 years in a national field test study for the PedsQL™ Epilepsy Module. Parents also completed the 86-item Behavior Rating Inventory of Executive Function (BRIEF), a widely validated measure of executive functioning. RESULTS: The PedsQL™ Cognitive Functioning Scale evidenced excellent reliability (patient self-report α = 0.88; parent proxy-report α = 0.96), distinguished between youth with epilepsy and an age, gender, and race/ethnicity-matched healthy sample supporting discriminant validity with large effect sizes (~20-30 point score differences, P < 0.001), and demonstrated concurrent and construct validity, respectively, through large effect size intercorrelations with the BRIEF (Behavioral Regulation Index, Metacognition Index, Global Executive Composite Summary Scores rs = 0.43-0.67, P < 0.001) and the PedsQL™ Generic Core Scales (Total Scale Scores rs = 0.67-0.74, P < 0.001). Minimal clinically important difference (MCID) scores ranged from 5.92 to 8.80. CONCLUSIONS: The PedsQL™ Cognitive Functioning Scale demonstrated excellent internal consistency reliability, discriminant, concurrent, and construct validity in youth with epilepsy and may be suitable as a brief generic patient-reported outcome (PRO) measure for clinical research, clinical trials, and routine clinical practice in pediatric epilepsy.

Vulnerabilities to antiepileptic drug (AED) side effects in youth with epilepsy.

OBJECTIVE: The objective of the study was to investigate the relationship between sociodemographic, seizure-related, behavioral health, and antiepileptic drug (AED) adverse effect variables. The aim of this study was to examine whether there were significant differences on AED adverse effects between youth with normative and subclinical/clinical depressive and/or anxiety symptoms. METHODS: As part of a larger multisite validation study, 231 youth age 5 to 18 years diagnosed with epilepsy and their caregivers were recruited to participate for the current study. Youth ages 8 and older and caregivers of all youth completed the Behavior Assessment System for Children-2 (BASC-2). Caregivers also completed the Pediatric Epilepsy Side Effects Questionnaire (PESQ) and a Background Questionnaire. Medical chart review provided information regarding epilepsy diagnosis and treatment. RESULTS: No differences were observed in the mean scores on AED adverse effects between the group with subclinical/clinical BASC-2 Depressive symptoms and those with average/low depressive symptoms. In contrast, the proportion of youth with subclinical/clinical versus average/low depressive symptoms via caregiver report was significantly different for the cognitive, behavioral, general neurological, and total scale of the PESQ. There was also a larger proportion of youth with self-reported subclinical/clinical depressive symptoms who experienced general neurological adverse effects compared with youth with average/low depressive symptoms who experienced general neurological adverse effects. Findings were consistent for anxiety symptoms. SIGNIFICANCE: Identifying potentially modifiable behavioral health symptoms that exacerbate the expression of AED adverse effects could provide alternative solutions for improved AED tolerability to achieve optimum treatment outcomes.

Prediction of specific depressive symptom clusters in youth with epilepsy: The NDDI-E-Y versus Neuro-QOL SF.

OBJECTIVE: Proper assessment and early identification of depressive symptoms are essential to initiate treatment and minimize the risk for poor outcomes in youth with epilepsy (YWE). The current study examined the predictive utility of the Neurological Disorders Depression Inventory-Epilepsy for Youth (NDDI-E-Y) and the Neuro-QOL Depression Short Form (Neuro-QOL SF) in explaining variance in overall depressive symptoms and specific symptom clusters on the gold standard Children's Depression Inventory-2 (CDI-2). METHODS: Cross-sectional study examining 99 YWE (female 68, mean age 14.7 years) during a routine epilepsy visit, who completed self-report measures of depressive symptoms, including the NDDI-E-Y, CDI-2, and the Neuro-QOL SF. Caregivers completed a measure of seizure severity. All sociodemographic and medical information was evaluated through electronic medical record review. RESULTS: After accounting for seizure and demographic variables, the NDDI-E-Y accounted for 45% of the variance in the CDI-2 Total score and the CDI-2 Ineffectiveness subscale. Furthermore, the NDDI-E-Y predicted CDI-2 Total scores and subscales similarly, with the exception of explaining significantly more variance in the CDI-2 Ineffectiveness subscale compared to the Negative Mood subscale. The NDDI-E-Y explained greater variance compared to Neuro-QOL SF across the Total (48% vs. 37%) and all CDI-2 subscale scores; however, the NDDI-E-Y emerged as a stronger predictor of only CDI-2 Ineffectiveness. Both the NDDI-E-Y and Neuro-QOL SF accounted for the lowest amount of variance in CDI-2 Negative Mood. Sensitivity was poor for the Neuro-QOL SF in predicting high versus low CDI-2 scores. SIGNIFICANCE: The NDDI-E-Y has strong psychometrics and can be easily integrated into routine epilepsy care for quick, brief screening of depressive symptoms in YWE.

Validation of the PedsQL Epilepsy Module: A pediatric epilepsy-specific health-related quality of life measure.

OBJECTIVE: To validate a brief and reliable epilepsy-specific, health-related quality of life (HRQOL) measure in children with various seizure types, treatments, and demographic characteristics. METHODS: This national validation study was conducted across five epilepsy centers in the United States. Youth 5-18 years and caregivers of youth 2-18 years diagnosed with epilepsy completed the PedsQL Epilepsy Module and additional questionnaires to establish reliability and validity of the epilepsy-specific HRQOL instrument. Demographic and medical data were collected through chart reviews. Factor analysis was conducted, and internal consistency (Cronbach's alphas), test-retest reliability, and construct validity were assessed. RESULTS: Questionnaires were analyzed from 430 children with epilepsy (Mage = 9.9 years; range 2-18 years; 46% female; 62% white: non-Hispanic; 76% monotherapy, 54% active seizures) and their caregivers. The final PedsQL Epilepsy Module is a 29-item measure with five subscales (i.e., Impact, Cognitive, Sleep, Executive Functioning, and Mood/Behavior) with parallel child and caregiver reports. Internal consistency coefficients ranged from 0.70-0.94. Construct validity and convergence was demonstrated in several ways, including strong relationships with seizure outcomes, antiepileptic drug (AED) side effects, and well-established measures of executive, cognitive, and emotional/behavioral functioning. SIGNIFICANCE: The PedsQL Epilepsy Module is a reliable measure of HRQOL with strong evidence of its validity across the epilepsy spectrum in both clinical and research settings.

Implementation of psychological clinical trials in epilepsy: Review and guide.

The International League Against Epilepsy (ILAE) Neuropsychiatry commission and United States Institute of Medicine report both identified cognitive and psychological comorbidities as a significant issue for individuals with epilepsy, with rates as high as 60%. However, there is a paucity of evidence-based treatments for many psychological conditions (e.g., learning disorders, cognitive disorders, behavioral disorders). Because of inherent challenges in the implementation of psychological therapy trials and specific considerations for the population with epilepsy, the focus of the current review was to provide guidance and recommendations to conduct psychological trials for individuals with epilepsy. Several key areas will be discussed, including selection of patients, trial design, psychological intervention considerations, outcomes and evaluation of results, publication of trial results, and special issues related to pediatric clinical trials. Rigorously designed psychological therapy trials will set the stage for evidence-based practice in the care of individuals with epilepsy, with the goal of improving seizures, side effects, and HRQOL.

Development and validation of the NDDI-E-Y: a screening tool for depressive symptoms in pediatric epilepsy.

OBJECTIVES: To validate the revised 12-item revised Neurological Disorders Depression Inventory-Epilepsy for Youth (NDDI-E-Y), a self-report screening tool for depressive symptoms tailored to youth ages 12-17 with epilepsy. METHODS: Youth at two sites completed the NDDI-E-Y during a routine epilepsy visit. Youth at one site also completed the Children's Depression Inventory-2 (CDI-2). Seizure and demographic data were abstracted from the electronic medical record. Exploratory factor analyses were conducted. Internal consistency, area under the curve (AUC), and construct validity were assessed. RESULTS: NDDI-E-Y questionnaires were analyzed for 143 youth. The coefficient for internal consistency for the NDDI-E-Y was 0.92. Factor analyses suggested a one-factor solution with all 12 items loading on the factor. The NDDI-E-Y was positively correlated with the CDI-2 (N = 99). Sensitivity and specificity of the NDDI-E-Y were high. SIGNIFICANCE: Reliability and construct validity were established for the revised 12-item NDDI-E-Y. The NDDI-E-Y is a brief, free measure of depressive symptoms that can be administered during a routine epilepsy visit.

Graph theory and cognition: A complementary avenue for examining neuropsychological status in epilepsy.

The recent revision of the classification of the epilepsies released by the ILAE Commission on Classification and Terminology (2005-2009) has been a major development in the field. Papers in this section of the special issue explore the relevance of other techniques to examine, categorize, and classify cognitive and behavioral comorbidities in epilepsy. In this review, we investigate the applicability of graph theory to understand the impact of epilepsy on cognition compared with controls and, then, the patterns of cognitive development in normally developing children which would set the stage for prospective comparisons of children with epilepsy and controls. The overall goal is to examine the potential utility of this analytic tool and approach to conceptualize the cognitive comorbidities in epilepsy. Given that the major cognitive domains representing cognitive function are interdependent, the associations between neuropsychological abilities underlying these domains can be referred to as a cognitive network. Therefore, the architecture of this cognitive network can be quantified and assessed using graph theory methods, rendering a novel approach to the characterization of cognitive status. We first provide fundamental information about graph theory procedures, followed by application of these techniques to cross-sectional analysis of neuropsychological data in children with epilepsy compared with that of controls, concluding with prospective analysis of neuropsychological development in younger and older healthy controls. This article is part of a Special Issue entitled "The new approach to classification: Rethinking cognition and behavior in epilepsy".

Mapping the neuropsychological profile of temporal lobe epilepsy using cognitive network topology and graph theory.

OBJECTIVE: Normal cognitive function is defined by harmonious interaction among multiple neuropsychological domains. Epilepsy has a disruptive effect on cognition, but how diverse cognitive abilities differentially interact with one another compared with healthy controls (HC) is unclear. This study used graph theory to analyze the community structure of cognitive networks in adults with temporal lobe epilepsy (TLE) compared with that in HC. METHODS: Neuropsychological assessment was performed in 100 patients with TLE and 82 HC. For each group, an adjacency matrix was constructed representing pair-wise correlation coefficients between raw scores obtained in each possible test combination. For each cognitive network, each node corresponded to a cognitive test; each link corresponded to the correlation coefficient between tests. Global network structure, community structure, and node-wise graph theory properties were qualitatively assessed. RESULTS: The community structure in patients with TLE was composed of fewer, larger, more mixed modules, characterizing three main modules representing close relationships between the following: 1) aspects of executive function (EF), verbal and visual memory, 2) speed and fluency, and 3) speed, EF, perception, language, intelligence, and nonverbal memory. Conversely, controls exhibited a relative division between cognitive functions, segregating into more numerous, smaller modules consisting of the following: 1) verbal memory, 2) language, perception, and intelligence, 3) speed and fluency, and 4) visual memory and EF. Overall node-wise clustering coefficient and efficiency were increased in TLE. SIGNIFICANCE: Adults with TLE demonstrate a less clear and poorly structured segregation between multiple cognitive domains. This panorama suggests a higher degree of interdependency across multiple cognitive domains in TLE, possibly indicating compensatory mechanisms to overcome functional impairments.

Behavioral health in young adults with epilepsy: Implications for transition of care.

AIM: Neurodevelopmental and behavioral health disorders commonly occur with epilepsy, yet risk for young adults is unknown. The aim of this study was to determine the distribution and risk characteristics of neurodevelopmental and behavior health comorbidities among young adults with epilepsy compared with those among young adults with migraine and healthy controls. METHOD: A case-control study examining hospital admission, outpatient, and emergency department (ED) visits for young adults with an ICD-9-CM diagnosis of epilepsy, migraine, or lower extremity fracture (LEF) was conducted. The association of epilepsy, migraine, or LEF with comorbidities was evaluated with univariate and multivariate polytomous logistic regression. RESULTS: From 2000 to 2013, 29,139 young adults ages 19 to 25years were seen in hospitals and EDs for epilepsy (5666), migraine (17,507), or LEF (5966). Young adults with epilepsy had higher proportions of behavioral health comorbidities (51.8%) compared with controls with migraine (37.6%) or LEF (21.6%). In young adults with epilepsy compared with migraine, the increased risk of having any behavioral health comorbidity was 76%, and neurodevelopmental comorbidity was 297%. After adjustment, young adults with epilepsy showed significantly higher odds of each behavioral health comorbidity compared with controls with migraine and LEF. INTERPRETATION: Young adults with epilepsy are particularly susceptible to behavioral health and neurodevelopmental disorders. Results are discussed within the context of transition to adult care.

Determining patient needs: A partnership with South Carolina Advocates for Epilepsy (SAFE).

PURPOSE: The purpose of this study was to collaborate with a community partner to administer a current needs assessment of persons with epilepsy (PWE) and determine the types of resources that PWE would like to access through the community partner. METHODS: A self-report needs assessment survey was administered to caregivers and PWE across the state of South Carolina during a community partner educational workshop (n=20) and via secure software distributed through an email link (n=54). KEY FINDINGS: The most frequently reported challenges (>50%) were concerns about finding time to participate in epilepsy community activities, the personal safety of the PWE, finding social connections or social support, finding mental or behavioral health services, and work concerns. However, top ranked concerns centered on personal safety (27.8%), lack of insurance/not enough money to pay for epilepsy treatment (15.3%), and difficulty with daily management of epilepsy (13.9%). Participants reported likely engagement with the epilepsy community partner via in-person meetings, over the phone, and through social media contacts; however, there were differences between PWE and caregivers regarding preferences for communication. Almost 60% endorsed that they would likely participate in a brief program to learn skills to manage their epilepsy daily. SIGNIFICANCE: Persons with epilepsy in South Carolina continue to have many unmet needs and would access resources, if available, from a state-wide epilepsy community partner via various modes of communication.

Translating working memory into action: behavioral and neural evidence for using motor representations in encoding visuo-spatial sequences.

The neurobiological organization of action-oriented working memory is not well understood. To elucidate the neural correlates of translating visuo-spatial stimulus sequences into delayed (memory-guided) sequential actions, we measured brain activity using functional magnetic resonance imaging while participants encoded sequences of four to seven dots appearing on fingers of a left or right schematic hand. After variable delays, sequences were to be reproduced with the corresponding fingers. Recall became less accurate with longer sequences and was initiated faster after long delays. Across both hands, encoding and recall activated bilateral prefrontal, premotor, superior and inferior parietal regions as well as the basal ganglia, whereas hand-specific activity was found (albeit to a lesser degree during encoding) in contralateral premotor, sensorimotor, and superior parietal cortex. Activation differences after long versus short delays were restricted to motor-related regions, indicating that rehearsal during long delays might have facilitated the conversion of the memorandum into concrete motor programs at recall. Furthermore, basal ganglia activity during encoding selectively predicted correct recall. Taken together, the results suggest that to-be-reproduced visuo-spatial sequences are encoded as prospective action representations (motor intentions), possibly in addition to retrospective sensory codes. Overall, our study supports and extends multi-component models of working memory, highlighting the notion that sensory input can be coded in multiple ways depending on what the memorandum is to be used for.

Is there "one" DLPFC in cognitive action control? Evidence for heterogeneity from co-activation-based parcellation.

The dorsolateral prefrontal cortex (DLPFC) has consistently been implicated in cognitive control of motor behavior. There is, however, considerable variability in the exact location and extension of these activations across functional magnetic resonance imaging (fMRI) experiments. This poses the question of whether this variability reflects sampling error and spatial uncertainty in fMRI experiments or structural and functional heterogeneity of this region. This study shows that the right DLPFC as observed in 4 different experiments tapping executive action control may be subdivided into 2 distinct subregions-an anterior-ventral and a posterior-dorsal one -based on their whole-brain co-activation patterns across neuroimaging studies. Investigation of task-dependent and task-independent connectivity revealed both clusters to be involved in distinct neural networks. The posterior subregion showed increased connectivity with bilateral intraparietal sulci, whereas the anterior subregion showed increased connectivity with the anterior cingulate cortex. Functional characterization with quantitative forward and reverse inferences revealed the anterior network to be more strongly associated with attention and action inhibition processes, whereas the posterior network was more strongly related to action execution and working memory. The present data provide evidence that cognitive action control in the right DLPFC may rely on differentiable neural networks and cognitive functions.

Task- and resting-state functional connectivity of brain regions related to affection and susceptible to concurrent cognitive demand.

A recent fMRI-study revealed neural responses for affective processing of stimuli for which overt attention irrespective of stimulus valence was required in the orbitofrontal cortex (OFC) and bilateral amygdala (AMY): activation decreased with increasing cognitive demand. To further characterize the network putatively related to this attenuation, we here characterized these regions with respect to their functional properties and connectivity patterns in task-dependent and task-independent states. All experiments of the BrainMap database activating the seed regions OFC and bilateral AMY were identified. Their functional characteristics were quantitatively inferred using the behavioral meta-data of the retrieved experiments. Task-dependent functional connectivity was characterized by meta-analytic connectivity modeling (MACM) of significant co-activations with these seed regions. Task-independent resting-state functional connectivity analysis in a sample of 100 healthy subjects complemented these analyses. All three seed regions co-activated with subgenual cingulum (SGC), precuneus (PCu) and nucleus accumbens (NAcc) in the task-dependent MACM analysis. Task-independent resting-state connectivity revealed significant coupling of the seeds only with the SGC, but not the PCu and the NAcc. The former region (SGC) moreover was shown to feature significant resting-state connectivity with all other regions implicated in the network connected to regions where emotional processing may be modulated by a cognitive distractor. Based on its functional profile and connectivity pattern, we suggest that the SGC might serve as a key hub in the identified network, as such linking autobiographic information [PCu], reward [NAcc], (reinforce) values [OFC] and emotional significance [AMY]. Such a role, in turn, may allow the SGC to influence the OFC and AMY to modulate affective processing.

Discovery of Dimeric Arylsulfonamides as Potent ADAM8 Inhibitors.

The metalloproteinase ADAM8 is upregulated in several cancers but has a dispensable function under physiological conditions. In tumor cells, ADAM8 is involved in invasion, migration, and angiogenesis. The use of bivalent inhibitors could impair migration and invasion through the double binding to a homodimeric form of ADAM8 located on the cell surface of tumor cells. Herein we report the rational design and synthesis of the first dimeric ADAM8 inhibitors selective over ADAM10 and matrix metalloproteinases. Bivalent derivatives have been obtained by dimerizing the structure of a previously described ADAM17 inhibitor, JG26. In particular, derivative 2 was shown to inhibit ADAM8 proteolytic activity in vitro and in cell-based assays at nanomolar concentration. Moreover, it was more effective than the parent monomeric compound in blocking invasiveness in the breast cancer MDA-MB-231 cell line, thus supporting our hypothesis about the importance of inhibiting the active homodimer of ADAM8.

Patterns of seizure spread in temporal lobe epilepsy are associated with distinct white matter tracts.

OBJECTIVE: It is commonly hypothesized that seizure spread patterns in patients with focal epilepsy are associated with structural brain pathways. However, this relationship is poorly understood and has not been fully demonstrated in patients with temporal lobe epilepsy. Here, we sought to determine whether directionality of seizure spread (DSS) is associated with specific cerebral white matter tracts in patients with temporal lobe epilepsy. METHODS: Thirty-three adult patients with temporal lobe epilepsy who underwent stereoelectroencephalography (sEEG) and magnetic resonance diffusion tensor imaging (MR-DTI) as part of their standard-of-care clinical evaluation were included in the study. DSS was defined as anterior-posterior (AP) or medial-lateral (ML) spread based upon sEEG evaluation by two independent specialists who demonstrated excellent inter-rater agreement (Cohen's kappa = .92). DTI connectometry was used to assess differences between seizure spread pattern groups along major fiber pathways regarding fractional anisotropy (FA). RESULTS: Twenty-four participants showed seizures with AP spread and nine participants showed seizures with ML spread. There were no significant differences between the groups on their demographic and clinical profile. Patients with ML seizures had higher FA along the corpus callosum and, to a lesser degree, some portions of the bilateral cingulate tracts. In contrast, patients with AP seizures had higher FA along several anterior-posterior white matter projections bundles, including the cingulate fasciculus and the inferior longitudinal, with significantly less involvement of the corpus callosum compared with ML seizures. SIGNIFICANCE: This study confirms the hypothesis that the anatomical pattern of electrophysiological ictal propagation is associated with the structural reinforcement of supporting pathways in temporal lobe epilepsy. This observation can help elucidate mechanisms of ictal propagation and may guide future translational approaches to curtail seizure spread.

Behavioral health referrals in pediatric epilepsy.

The purpose of this study was to examine the feasibility of a behavioral health referral protocol and barriers to behavioral health care in a pediatric epilepsy clinic. A sample of 93 youth with epilepsy ages 10-17 and caregivers completed behavioral health and seizure severity measures during a routine epilepsy clinic visit. Key findings are that 47 (50.5%) of the youth screened positive for a behavioral health referral, and 35 of these youth were referred for behavioral health services. However, only 20% made and presented for the behavioral health appointment. The most commonly cited barrier for accessing and utilizing behavioral health care was stigma related- a mental health label for the child. The significance of this study lies in the revelation that solely screening for and educating caregivers about behavioral health symptoms and providing behavioral health referral information is not an ideal model. Instead, stigma related barriers point to the necessity of continued integrated physical and behavioral health care within the pediatric epilepsy visit.

Intrinsic functional connectivity underlying successful emotion regulation of angry faces.

Most of our social interaction is naturally based on emotional information derived from the perception of faces of other people. Negative facial expressions of a counterpart might trigger negative emotions and initiate emotion regulatory efforts to reduce the impact of the received emotional message in a perceiver. Despite the high adaptive value of emotion regulation in social interaction, the neural underpinnings of it are largely unknown. To remedy this, this study investigated individual differences in emotion regulation effectiveness during the reappraisal of angry faces on the underlying functional activity using functional magnetic resonance imaging (fMRI) as well as the underlying functional connectivity using resting-state fMRI. Greater emotion regulation ability was associated with greater functional activity in the ventromedial prefrontal cortex. Furthermore, greater functional coupling between activity in the ventrolateral prefrontal cortex and the amygdala was associated with emotion regulation success. Our findings provide a first link between prefrontal cognitive control and subcortical emotion processing systems during successful emotion regulation in an explicitly social context.