Revista Brasileira de Psiquiatria ISSN print 1516-4446
ISSN on-line 1809-452X
JCR IF 2017: 2.093
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Braz J Psychiatry Ahead of Print

Structural and functional neuroimaging studies in generalized anxiety disorder: a systematic review

Domenico Madonna1,2,*; Giuseppe Delvecchio1,*; Jair C. Soares3; Paolo Brambilla2,3

1. Dipartimento di Fisiopatologia Medico-Chirurgica e dei Trapianti, Universit di Milano, Milano, Italy
2. Dipartimento di Neuroscienze e Salute Mentale, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ca' Granda Ospedale Maggiore Policiinico, Milano, Italy
3. Department of Psychiatry and Behavioral Sciences, University of Texas Health Sciences Center at Houston, Houston, TX, USA

Dipartimento di Neuroscienze e Salute Mentale, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ca' Granda Ospedale Maggiore Policlinico
via F. Sforza 35, 20122, Milano, Italy

Submitted Mar 26 2018
Accepted Aug 16 2018

Descriptors: Generalized anxiety disorder; magnetic resonance imaging; functional MRI; diffusion tensor imaging; resting-state
OBJECTIVES: Brain imaging studies carried out in patients suffering from generalized anxiety disorder (GAD) have contributed to better characterize the pathophysiological mechanisms underlying this disorder. The present study reviews the available functional and structural brain imaging evidence on GAD, and suggests further strategies for investigations in this field.
METHODS: A systematic literature review was performed in PubMed, PsycINFO, and Google Scholar, aiming to identify original research evaluating GAD patients with the use of structural and functional magnetic resonance imaging as well as diffusion tensor imaging.
RESULTS: The available studies have shown impairments in ventrolateral and dorsolateral prefrontal cortex, anterior cingulate, posterior parietal regions, and amygdala in both pediatric and adult GAD patients, mostly in the right hemisphere. However, the literature is often tentative, given that most studies have employed small samples and included patients with comorbidities or in current use of various medications. Finally, different methodological aspects, such as the type of imaging equipment used, also complicate the generalizability of the findings.
CONCLUSIONS: Longitudinal neuroimaging studies with larger samples of both juvenile and adult GAD patients, as well as at risk individuals and unaffected relatives, should be carried out in order to shed light on the specific biological signature of GAD.


Anxiety disorders share common features, including excessive and irrational fear and avoidance of anxiety triggers. In particular, generalized anxiety disorder (GAD) is a severe chronic illness characterized by symptoms including persistent and uncontrollable worry about everyday life matters and social competence, as well as autonomic hyperarousal and tension.1 The prevalence of GAD, which typically begins in young adulthood, is about 2% in the adult population; the lifetime prevalence of GAD is around 4.7%.2,3 Female sex, low socioeconomic status, and exposure to childhood adversity are considered as risk factors for the disease.4

Despite the suffering, disability, and economic burden associated with GAD,5,6 treatment options are not available for a considerable group of patients because little is known about the pathophysiology of this disease.7 Therefore, in recent years, researchers have focused their attention towards the investigation of the neurobiological underpinnings of GAD.8 in the past two decades, imaging studies have identified subtle structural, chemical, and functional brain changes in GAD that provide hints on the neurophysiologic mechanisms underlying this illness. Specifically, GAD symptoms have been linked to a disruption in the balance of activity in the emotional centers of the brain rather than in the higher cognitive centers.9,10 indeed, the initial processing of stressful stimuli is carried out by a neural circuit composed of core limbic structures, including the amygdala, insula, periaqueductal gray matter, locus coeruleus, and hypothalamus. These structures are responsible for an early evaluation of stressful stimuli and for organizing an appropriate initial physiological and behavioral response.11 Moreover, studies have shown that in GAD patients the pattern of brain activity resembles that of animal models in which limbic circuits, particularly the amygdala, play an important role in fear response.12-14 Etkin et al.15 have also found evidence of an intra-amygdala abnormality with engagement of a compensatory frontoparietal executive control network, consistent with cognitive theories of GAD. Interestingly, a recent review reported selective metabolic dysfunctions in regions within the prefrontal-limbic network, including the dorsolateral prefrontal cortex (DLPFC) and hippocampus.16

Furthermore, in addition to the amygdala, other cortical and subcortical regions have been found to be involved in the pathophysiology of this disabling disorder. Functional magnetic resonance imaging (fMRI) research has reported that hypoactivation of the DLPFC in GAD patients was associated with emotional dysregulation and deficits in attentional control, ultimately suggesting that the failure to engage prefrontal cortex (PFC) during emotion regulation may be part of the critical transition from dispositional high anxiety to an anxiety disorder.17-19 Additionally, evidence from structural MRI studies showed that GAD is characterized by selective impairments in the cortex, especially in regions within the prefrontal-temporal network, and sub-cortex, including basal ganglia and amygdala, in both adult and pediatric cohorts.20-25

With regard to neurochemistry, a number of neurotransmitter systems have been implicated in the neurobiology of gAd.16,26,27 Given the known pharmacological and clinical effects of benzodiazepines, the γ-aminobutyric acid (GABA)/benzodiazepine system has become a focus of research in GAD. Indeed, several studies showed that GAD patients have reduced central benzodiazepine receptor function, perhaps due to alterations in receptor number.28-30 However, this neurotransmitter system was not the only one found to be disrupted in GAD; other studies have also reported a key role of the norepinephrine31,32 and serotonin26 systems, resulting mainly from their involvement in neural mechanisms, such as sensitization and fear conditioning, consistently associated with stress.33,34

Considering this scenario, summarizing the available neuroimaging evidence on GAD is important to provide a consistent overview of the neural systems found to be disrupted in this disorder. The debate regarding these findings, with suggestions for future investigation in this field, may help elucidate the pathophysiological mechanisms involved in GAD and guide the development of more effective treatment strategies.35,36


A systematic literature search was performed in PubMed, PsycINFO, and Google Scholar, using the following keywords: ''Generalized anxiety disorder'' OR ''GAD'' AND (''Magnetic Resonance Imaging'' OR ''MRI'' OR ''Diffusion Tensor Imaging'' OR ''DTI'' OR ''Diffusion Weighted Imaging'' OR ''DWI'' OR ''resting-state functional Magnetic Resonance'' OR ''rs-FMRI,'' OR ''functional MRI,'' OR ''fMRI''). Considering the scope of the present work, the following inclusion criteria were considered: original research evaluating pediatric, adolescent, adult, and elderly GAD patients with structural\functional MRI and diffusion tensor imaging (DTI). Studies investigating the effect of psychotropic medications on the brain were also included. No time limits were set and the last search was conducted in June 2018.

The search identified 199 articles, of which 110 were excluded for the following reasons: a) lack of control group; b) not being published in English; c) GAD patients were only compared to other diseases, including panic disorder (PD), social phobia, generalized social anxiety disorder, separation anxiety disorder, and major depressive disorder; d) GAD was not the primary diagnosis; and e) did not employ the neuroimaging techniques considered in this review. The remaining articles (n=89) were included in this review. Specifically, twenty were about structural MRI, five about DTI, one about diffusion weighted imaging, and sixty-three about fMRI. The selection of studies is summarized in Figure 1.

Figure 1 Study selection flow chart.DTI = diffusion tensor imaging; DWI = diffusion weighted imaging; GAD = generalized anxiety disorder; MRI = magnetic resonance imaging.

Putative models of anxiety pathophysiology

Three models have been proposed to describe the functional anatomy of anxiety disorders.26,37 The first is the linear model, according to which identical brain structures are thought to be hyper- or hypo- activated during the experience of anxiety in health and disease, depending on the severity of the experience. The second model is the catastrophe theory model, which assumes that, after reaching a particular set of conditions, a system is unable to maintain an equilibrium and a discontinuity occurs, leading to the activation of specific brain areas in pathological anxiety. The third and last model, named the modular model, postulates that all forms of anxiety activate a module related to the experience of autonomic arousal and fear; conversely, other areas would only be activated in the presence of specific forms of anxiety and linked to specific experiences (i.e., flight reaction as in a panic attack; immobility as in anticipatory anxiety; and awareness of one's own body position in space as in social phobia). These three models are not mutually exclusive and may partially coexist. However, the modular theory provides an integrated explanation that is more consistent with contemporary models of brain function.38 Reviewing the neuroimaging literature can help to clarify this question.

Brain imaging studies in GAD

Structural studies

For a detailed description of MRI studies in GAD, please refer to Table 1 and Supplementary Table S1. To date, several structural MRI studies have explored changes in gray matter (GM) and white matter (WM) volumes in GAD patients. Specifically for GM, the first structural MRI studies on GAD were carried out by the same research group on a small group of children and adolescents. The authors showed abnormally larger superior temporal gyrus (STG) and amygdala volumes, especially in the right hemisphere, in GAD patients compared to healthy controls (HCs).39,40 Interestingly, the same authors also reported the presence of preserved brain regions in their juvenile patient population, including intracranial volumes, total cerebral GM and WM, prefrontal and temporal lobes, corpus callosum, hippocampus, thalamus, and basal ganglia.39,40 In contrast, Strawn et al.41 found increased GM volumes in right precuneus and precentral gyrus, as well as decreased GM volumes in orbitofrontal cortex and posterior cingulate in a group of GAD adolescents. Furthermore, a more recent study from the same group,21 including an independent sample of patients with various anxiety disorders, extended their previous results by showing greater GM volumes in left cingulate gyrus and lower GM volumes in left inferior frontal gyrus, left post-central gyrus, left precuneus, and amygdala bilaterally.41 Along this line, a study carried out by Mohlman et al.42 also reported that PFC volumes, and especially the medial orbital cortex, positively correlated with worry severity in older adults with GaD. Additionally, larger volumes of amygdala, thalamus, dorsomedial PFC (DMPFC), and putamen have been found in adolescent and adult patients suffering from GAD.23,24,43,44 In contrast, a voxel-based morphometry (VBM) investigation showed selective volume reduction in left amygdala in pediatric GAD compared to age- and gender-matched HCs.45 Further, Liao et al.46 found selective gender-related differences in left precuneus/posterior cingulate cortex, with males having larger volumes compared to female GAD patients. Hilbert et al.20 also reported significantly higher GM volumes in GAD subjects, mainly in basal ganglia and less consistently in STG, in contrast with other studies showing GM volume reductions in insula and STG in GAD patients compared to HCs.44,47,48 Additionally, two studies reported that GAD patients had lower GM volumes in supramarginal, precentral, and postcentral gyri bilaterally,44 as well as in the hypothalamus,49 as compared to HCs.49

Finally, a recent MRI study25 exploring different morphological parameters, including cortical surface area, cortical thickness, GM volumes, and gyrification, reported no alterations of GM in subjects with GAD compared to HCs. However, the authors showed a hyper-gyrification in the right fusiform, right inferior temporal gyrus, right superior parietal gyrus, supramarginal gyrus bilaterally, and left superior frontal gyri, as well as reduced cortical thickness in right caudal middle frontal gyrus in GAD patients compared to HCs. Overall, this structural MRI evidence suggests that GAD is a neurobiological disorder characterized by extensive deficits in selective brain regions encompassing predominantly the prefrontal-temporo-limbic network, which has been shown to be implicated in behavioral inhibition,59 modulation of anticipatory threat,60 and attachment styles,61 abilities that are often disrupted in GAD patients.62

With regard to WM abnormalities, some DTI studies provided important evidence of WM and brain connectivity disruptions in GAD. Specifically, reduced fractional anisotropy (FA), a measure of WM coherence and organization, in left uncinate fasciculus, which is a WM pathway connecting ventral prefrontal-cortex (VPFC) and anterior cingulate cortex (ACC) to the amygdala and other limbic regions, was found in patients with GAD, particularly in subjects without comorbidity.52 Similarly, Zhang et al.53 found an augmentation of FA in the right amygdala and a lower FA in the left ACC. Furthermore, another DTI study reported that GAD patients had increased FA in right postcentral gyrus, the location of primary somatosensory cortex, which has rarely been indicated as a disrupted brain area in anxiety disorders.51 Additionally, altered microstructure coherence of the right posterior parietal cortex and the callosal splenium has been reported in adult GAD patients in a previous investigation carried out by our group.50 Interestingly, several studies from the same research group showed reduced WM volumes in the midbrain, precentral gyrus, DLPFC, and anterior limb of the internal capsule in GAD patients compared to HCs.27,48,56 Moreover, a recent DTI study by Wang et al.58 examined WM deficits in subjects with Gad and showed a reduction of FA in many other regions, including bilateral uncinate fasciculus, body of corpus callosum, left middle cingulum, bilateral anterior thalamic radiation and corona radiate, right anterior limb of internal capsule, bilateral inferior frontal-occipital fasciculus, bilateral superior and inferior longitudinal fasciculus. Finally, Cha et al.57 also found increased mean diffusivity (MD) in hippocampus in GAD patients compared to HCs.

In conclusion, despite this evidence, it is important to point out that a general consensus regarding gM and WM abnormalities in GAD has not been reached yet. Indeed, it is still not clear whether GAD is associated with increased or decreased GM and WM volumes in the abovementioned regions. These discrepancies might be associated with the inclusion of GAD patients using different psychotropic medications and/or presenting different comorbidities, especially depression or other anxiety disorders, which could have potentially influenced the results of the investigations. Indeed, depression and other anxiety disorders, such as PD, may themselves affect brain anatomy and development, as suggested by previous studies.37,63-65 Also, it has been reported that the presence of comorbidities in GAD exacerbates its clinical phenotypes by decreasing the responsiveness to treatments and worsening the outcome.66 Moreover, pharmacological treatments may have also biased the brain deficits observed in these patients. In this regard, it has been suggested that antidepressants may have significant effects on brain networks by modulating the volumes, functions, and biochemistry of brain structures.67,68 Interestingly, Dusi et al.67 showed that antidepressants seem to affect the prefrontal-limbic network by reversing the hyperactivation of limbic areas to emotional stimuli and by enhancing frontal cortex and cingulate top-down modulatory influence on subcortical structures. Similarly, it has also been reported that citalopram, a selective serotonin reuptake inhibitor (SSRI) and a first-line treatment for anxiety disorders has selective effects on specific brain regions. For instance, it has been shown that citalopram attenuated amygdala response to aversive stimuli and reduced activity in prefrontal regions, striatum, insula, and paralimbic regions in GAD patients listening to worry sentences.69 Therefore, from this evidence emerged that pharmacological treatments might have significant effects on neural processes, which may potentially explain the heterogeneity of the abovementioned results in GAD patients.

However, despite these limitations, these results highlight the importance of investigating GM and WM alterations in GAD in order to identify the neuroanatomical mechanisms associated with cognitive and emotional dysfunctions often observed in these patients. Future studies with more homogeneous samples, both from diagnostic and pharmacological perspectives, are warranted to extend the generalizability of the findings.

Functional magnetic resonance imaging (fMRI) studies

The common symptoms of GAD lead to emotional dysregulation, such as unsuppressed anger and low tolerance to frustration, and/or to cognitive deficits, including impairments of implicit and explicit memories, attention, and executive function.55,70,71 Therefore, in this section, we have tried to clarify the main functional brain abnormalities in connection with emotional regulation and cognitive function in patients with GAD.

Specifically, the studies reviewed are divided into four subsections. The first subsection encompasses the studies evaluating emotion dysregulations. The second one is related to research exploring both ''emotion and cognition.'' The third subsection focuses on resting-state fMRI studies, and the fourth analyzes the link between fMRI and drugs used in GAD patients. All studies evaluated in this section are summarized in Table 2 and Supplementary Table S1.

Emotion regulation deficits in GAD

Emotion dysregulation, a common symptom of GAD, consists of two separate, yet related, abnormalities: atypical emotional reactivity (eR) and dysregulation of reactivity.128

Specifically, it has been reported that patients with Gad a) often experience emotions with heightened intensity compared to individuals without GAD; b) have marked difficulties identifying, describing, and clarifying their emotional experiences; and c) are prone to greater negative reactivity to emotions by holding catastrophic beliefs about the consequences of both negative and positive emotions.129

Therefore, in recent years, fMRI studies have been carried out to investigate neural activation deficits in GAD while processing emotional tasks. An fMRI study by Guyer et al.83 carried out on pediatric patients with social phobia and GAD during a monetary incentive delay task reported an hyperactivation of the putamen in response to positive-valenced stimuli in GAD patients compared to HCs and patients with social phobia. Moreover, Cha et al.96 also described alteration of the nucleus accumbens together with high reactivity of the ventral tegmental area and mesocorticolimbic system in patients with GAD compared to HCs during a fear generalization task.

Interestingly, Krain et al.76 explored the intolerance of uncertainty (IU), a trait associated with worry, in pediatric GAD patients, and showed that high levels of IU were associated with increased activation in frontal and limbic regions in these patients compared to HCs. This further suggests that an altered emotion regulation strategy is a key disability characterizing GAD.

Furthermore, an exaggerated right amygdala response to fearful faces was reported in three small fMRI studies in children with GAD.72,75,77 Similarly, a recent study carried out by Buff et al.125 showed a link between hyperactivation of the amygdala and bed nucleus of the stria terminalis and the mechanism of threat anticipation in GAD patients, ultimately underlining the importance of these two structures in the regulation of anticipatory anxiety. Interestingly, another study from the same research group120 further reported hyperactivation of the amygdala, along with DmPFC, ventrolateral PFC (VLPFC), and thalamus, as well as reduced activity in ventromedial PFC (VMPFC) during an ER task in GAD patients compared to HCs.

In contrast, fMRI studies have also demonstrated decreased amygdala activation in the presence of negative stimuli in GAD patients compared with HCs.87,89

Additionally, Greenberg et al.130 showed decreased recruitment of VMPFC during a fear conditioned stimulus in adult GAD patients compared to HCs. Similarly, Cha et al.54 found that VMPFC thickness, functional and structural connectivity within the corticolimbic system predicted individual variability of VMPFC threat assessment in an independent fashion. This is not surprising, especially because VMPFC has been shown to be involved in the regulation and inhibition of fear response in other anxiety disorders, such as PTSD and phobias.131

Moreover, increased activation has been observed in the left medial PFC and right VLPFC in response to emotional images in a juvenile GAD population.88 Right VLPFC activity was also examined by Monk et al.74 in a population of young people with GAD in response to angry stimuli. The authors describe increased VLPFC activation during trials containing angry faces in GAD patients compared to HCs as well as an inverse association between VLPFC activation and the severity of anxiety symptoms, ultimately suggesting that VLPFC activation may serve as a compensatory response.

In other studies, GAD patients had increased activation in prefrontal regions, including the DMPFC and ACC, in response to worry and neutral stimuli,80 as well as in a lateral region of the middle frontal gyrus in response to angry expressions.78 Hyperactivity in prefrontal regions was further confirmed by more recent studies in which GAD patients had elevated activity specifically in response to threat vs. neutral pictures in cingulate cortex, dorsal anterior insula/frontal operculum, and posterior DLPFC.101 Also, anxiety symptom scores were associated with increased angry > shapes activation in the bilateral insula, anterior/midcingulate, and DLPFC compared to HCs.115 In contrast, Yin et al.122 found a significant reduction of inferior frontal gyrus activity in GAD patients, which was also negatively correlated with symptom severity.

Furthermore, altered activation and dysfunctional connectivity in and between selective brain regions, including amygdala, DLPFC, cingulate, insula, posterior parietal cortex, pregenual ACC (pgACC), and cerebellum, were consistently found in adolescents and adults with GAD,15,81,84,90,95,122 especially during tasks involved in self-referential processing132,133 and mentalization,134 abilities often found altered in GAD.135 Similarly, a recent study exploring brain coupling within regions of the default-mode network (DMN), including ACC and DMPFC, showed that in GAD patients affective numbing was associated with weaker coupling between these regions, with decreased amygdala activity.116

Fitzgerald et al.114 demonstrated that emotion regulation disturbances in GAD involve excessive reactivity to negative stimuli and a failure to effectively downregulate negative affective states. The authors reported that GAD patients engaged the left amygdala to a greater extent while viewing negative images, which suggests that these patients are more responsive to negative stimuli. Further, Ellard et al.,113 by exploring the mechanisms of emotion acceptance as an alternate emotion regulation strategy to worry or emotion suppression in GAD, found that emotion acceptance resulted in lower ratings of distress than worry and was associated with increased dorsal ACC activation and increased VLPFC-amygdala functional connectivity. Interestingly, two studies also reported that worry was associated with hyperactivation of amygdala, in both adult and elderly GAD patients,108,119 as well as of insula and frontal regions, only in elderly GAD patients,119 compared to HCs. Similarly, Karim et al.126 showed that worry induction was associated with increased activation in middle and superior frontal gyrus as well as in the visual and parietal cortices compared to non-anxious patients. These results seemed to be partially in contrast with a previous study showing the lack of involvement of PFC in suppressing worry in elderly GAD patients86 and in women with GAD.85 Additionally, an fMRI study carried out by Karim et al,.111 exploring Er in a group of elderly GAD patients, showed a positive association between ER and global anxiety in the left parahippocampus, left and right precuneus, and right superior occipital gyrus, as well as a negative association between ER and worry severity in precuneus bilaterally. Finally, Blair et al.117 showed that gAd patients had significantly reduced neural modulation in medial PFC and caudate during the processing of positive events, as well as increased neural responses to low-impact events in rostral medial PFC.

In conclusion, the abovementioned findings suggest that the biological signature of GAD might be related to deficits in brain regions within the emotional processing network, which may ultimately result in increased threat sensitivity paralleled by maladaptive appraisal and exaggerated attention allocation, presumably resulting in over-interpretation and overestimation of threat.

The impact of emotion on cognition in GAD

In recent years, some studies have investigated the effects of emotion on cognition by means of specific fMRI tasks. Moon et al.109 explored functional neural activity in GAD patients using an explicit emotional verbal memory task with neutral and anxiety-inducing words. The authors showed that patients with Gad had significantly decreased activity in limbic regions (hippocampus and middle cingulate gyrus) and basal ganglia (i.e., the putamen and head of the caudate nucleus) during processing of both neutral and anxiety-inducing words, as well as increased activity in VLPFC and precentral gyrus during processing of anxiety-inducing words. Interestingly, these results only partially confirmed the evidence reported by a previous study by the same group, which employed a similar fMRI task.106 Indeed, in this study, the authors reported higher activity in the hippocampus and lower activity in the superior occipital gyrus, superior parietal gyrus, DLPFC, and precentral gyrus in GAD patients vs. HCs in response to the emotional distractors in a working memory task.

Similarly, Park et al.100 found impaired performance in a working memory task during emotional distracters in GAD patients, reporting greater activation in brain regions responsible for the maintenance of goal relevant information, including DLPFC, VLPFC, amygdala, and hippocampus, in these patients compared to HCs.

Moreover, Ball et al.18 explored the cognitive modulation of emotion in GAD patients by employing a task that required them to reappraise or maintain emotional responses to negative images. The authors showed that GAD patients had less PFC activation than HCs, and those with the least PFC activation reported the greatest anxiety severity and impairment, confirming a potential common neural basis of emotion dysregulation in anxiety disorders. Furthermore, Cha et al.57 found that during a threat-associative learning task GAD patients had a significant decrease in left anterior hippocampus with cue repetition compared to HCs. Interestingly, a recent fMRI study carried out by White et al.118 also showed the presence of selective deficits in reinforcement-based decision-making in GAD patients compared to HCs. Indeed, the authors reported that patients with GAD had a reduced correlation between reinforcement prediction error and activity within the VMPFC, the ventral striatum, and other structures involved in decision-making.

Finally, Diwadkar et al.112 found that GAD patients have selective impairments in the suppression of aversive memories through memory control. Specifically, the authors showed that when asked to suppress or retrieve memories, GAD patients had hypoactivation in a large network of brain regions, especially in the dorsal ACC, the ventral PFC and the cerebellum, compared to HCs.

In conclusion, although several studies demonstrated the impact of emotion on cognition in GAD patients, a general consensus of the brain regions involved in the interaction between emotional regulation and cognitive function in this disorder has not been reached yet. Indeed, a mixture of hypo- and hyper-activations in selective subcortical and cortical areas has been observed. However, overall these studies reported the involvement of amygdala and hippocampus, two interacting brain regions consistently found to be involved in emotional and cognitive processing.136 Additionally, from the abovementioned studies also emerged selective deficits in regions within the PFC, including the DLPFC and VLPFC, areas found to be a part of the neurobiological models of both emotion and cognition.137 Therefore, overall, this evidence suggests that GAD patients have selective deficits in key regions of two well-known interactive systems controlling affective and cognitive processing, the dorsal executive and the ventral emotional control systems.138

Resting-state fMRI alterations in GAD

Resting-state fMRI (rs-fMRI) is a sound approach to study neuropsychiatric disorders.139 Specifically for GAD, a recent rs-fMRI study showed the presence of aberrant connectivity between fusiform gyrus and hippocampus/parahippocampus in GAD patients.102 Also, the authors reported a positive correlation between abnormal cuneus/postcentral gyrus and precentral gyrus-calcarine cortex connections and symptom severity. Similarly, another rs-fMRI study carried out by Wang et al.105 showed that GAD patients have 1) higher amplitude of low-frequency fluctuation in the bilateral DMPfC, bilateral DLPFC, and left precuneus/posterior cingulate cortex; 2) lower connectivity in prefrontal gyrus; and 3) abnormal seed-based resting-state functional connectivity within prefrontal-limbic and cingulate regions coupled with decreased connectivity in prefrontal gyrus. Notably, the authors reported that decreased prefrontal-limbic and cingulate connectivity and increased prefrontal-hippocampal connectivity were correlated with clinical symptoms. Andreescu et al.93 investigated the resting-state functional connectivity patterns in the DMN in a population of adult and young GAD patients and showed an anxiety effect on the functional connectivity between the posterior cingulate and the medial PFC for the older group relative to the younger participants. Interestingly, the authors also reported that longer duration of illness was positively correlated with greater functional connectivity between the posterior cingulate cortex and insula, whereas worry severity was inversely correlated with the functional connectivity between the posterior cingulate cortex and the medial PFC. Also, Qiao et al.123 highlighted stronger functional connectivity in many key regions, including the amygdala and poster cingulate cortex, as well as weaker connectivity in frontal and temporal cortex compared with controls. Furthermore, the connectivity between the amygdala and all regions of the DMN and salience networks has been the subject of a recent investigation which highlighted that, in GAD patients, deficits in emotional regulation were associated with altered connectivity between the amygdala and both these networks.121 Similarly, Liu et al.98 also found decreased functional connectivity between the left amygdala and left DLPFC, as well as increased functional connectivity between the right amygdala and right posterior and anterior lobes of the cerebellum, insula, STG, and putamen. Li et al.110 reported increased functional connectivity between the amygdala and the temporal pole, as well as decreased connectivity between the amygdala and DLPFC in GAD patients compared to HCs. In contrast, preserved connectivity was found between posterior hippocampus and regions within the DMN in adult GAD patients.91 Furthermore, Xia et al.124 showed that GAD patients had decreased regional homogeneity (ReHo) in middle frontal gyrus, ACC, and supplementary motor areas, as well as increased ReHo in temporal and occipital cortices. Finally, Makovac et al. carried out two studies99,104 demonstrating that GAD subjects have lower connectivity between the right amygdala and right superior frontal gyrus, right paracingulate/ACC, and right supramarginal gyrus compared with HCs.

In conclusion, overall these findings suggest that GAD is characterized by widely disturbed network connectivity, mainly between the amygdala and other brain regions. This supports the hypothesis of a connectivity-based neural disorder, which may ultimately explain some of the symptoms observed in Gad patients, including decreased spontaneity, initiative, insight, judgment, abstraction, perseverance, and response inhibition.

fMRI alteration in association with drug use in GAD

In the past decades, several randomized controlled studies have demonstrated that symptoms of anxiety respond better to antidepressants with relevant serotonin reuptake inhibitory properties, such as imipramine,140 venlafaxine,141 paroxetine,142 duloxetine,143 and sertraline127 compared to benzodiazepines. However, neuro-functional changes underlying the effects of anti-anxiety treatments have not been fully characterized, although they would help to understand the neural basis involved in anxiety symptoms. In this regard, fMRI studies have become essential to accurately observe and detail the pharmacological effects of therapies in GAD.

The first fMRI study exploring the effect of a pharmacological treatment in GAD patients was carried out by Hoehn-Saric et al.,73 who employed an auditory task with statements describing a personal worry. Specifically, the authors demonstrated that treatment with citalopram reduced anxiety, psychic, and somatic symptoms. Additionally, they also reported that after treatment, worry sentences elicited reduced responses in prefrontal regions, striatum, insula, and paralimbic regions. A similar approach was employed by Whalen et al.,69 who explored the effect of venlafaxine on brain activity in GAD patients while performing an emotional processing task. The authors suggested that the magnitude of the treatment response was predicted by higher pre-treatment reactivity to fearful faces in rostral ACC and lower reactivity in the amygdala. Similarly, greater activation in the right VLPFC was also seen after psychotherapy and fluoxetine treatment.82,92 Nitschke et al.79 showed exaggerated amygdala and rostral ACC activation during the anticipation of aversive stimuli in GAD patients prior to treatment with venlafaxine. Interestingly, the authors also reported that greater rostral ACC was also associated with a more favorable response to venlafaxine. Moreover, Andreescu et al.94 explored the functional connectivity in the salience network and the executive control network during worry induction and worry reappraisal in GAD patients before and after pharmacological treatment. The authors observed that patients with GAD, after 12 weeks of treatment with drug therapy, showed greater connectivity between the DLPFC and several prefrontal regions during worry reappraisal compared to pre-treatment.

Interestingly, Kujawa et al.103 reported that greater activation in prefrontal regions, involved in appraising and regulating responses to social signals of threat, predicts better response to SSRI treatment and cognitive-behavioral therapy (CBT) in anxious youth. This has also been highlighted by a study carried out by Burkhouse et al.,107 who showed that in some patients less recruitment of superior frontal gyrus, encompassing the dorsal ACC and DMPFC, during implicit emotion processing, predicts greater reduction in youth anxiety symptoms after treatment with SSRI. Additionally, a more recent study carried out by the same research group reported that after treatment with sertraline or CBT, GAD patients showed increased activation in rostral ACC, a region responsible for better response to stimuli relevant to the threat.127 Finally, Brown et al.97 investigated the temporal pattern of brain response to emotional stimuli during 28 days of alprazolam (ALZ) treatment among GAD patients. Brain activation in the amygdala, during an emotion face-matching task, and in the insula, during an affective stimulus expectancy task, was reduced 1 hour after ALZ administration, but returned to baseline levels at day 28. These results are consistent with the notion that the neural mechanisms supporting sustained treatment effects of benzodiazepines in GAD differ from those underlying their acute effects. However, reductions in blood oxygen level dependent response in these regions did not persist over the 28 days of ALZ administration despite continued improvement of symptoms.

In conclusion, these findings suggest that neuroimaging investigations may be a useful tool for predicting how GAD patients will respond to treatment. Specifically, they suggest that GAD is amenable to psychopharmacologic treatment and that benzodiazepines are not as effective in controlling psychic symptoms of anxiety as antidepressants such as venlafaxine and paroxetine.141,142

Specifically, from the available evidence, it emerges that threat processing and the underlying neurocircuitry are relevant to treatment response in anxiety. Interestingly, the abovementioned studies investigated either the role of the brain in response to treatment or the effects exerted by specific pharmacological treatments on brain structures. With regard to the first working hypothesis, the available evidence, regardless of the treatment employed, supported the idea that specific brain regions, including the DLPFC and VLPFC, are associated with better treatment response, ultimately suggesting that the identification of key brain structures associated with treatment response may, therefore, allow the development of more targeted and efficient treatments for GAD. Finally, with regard to the second working hypothesis, which explores the effect that some drugs have on brain structures, overall the results suggest that the first line treatments of GAD, e.g., antidepressants, seem to have similar effects on specific brain structures involved in emotional processing, an ability that is consistently shown to be impaired in GAD patients. Please see Figure 2 depicting the neural regions consistently found altered in GAD in structural and functional MRI studies.

Figure 2 Brain regions consistently found to be involved in generalized anxiety disorder from structural and functional MRI studies.


It should be noted that most available findings are preliminary and limited by major methodological issues. First, most studies enrolled small groups of patients, often with comorbid depression or other anxiety disorders (i.e., PD or social phobia), which may limit the generalizability of the findings. However, although larger and more homogenous samples of GAD patients would have been beneficial, the exclusion of patients with comorbid diagnoses would have been a difficult challenge, especially because comorbidities frequently occur in GAD. Second, age differences among GAD patients in individual studies also complicate the interpretation of results. However, it is important to point out that the presence of neuroimaging investigations in both adults and pediatric populations is also an important strength, since the combination of results from these age groups could provide important insights on the pathophysiology of GAD. Indeed, overall, neuroimaging studies with adult and pediatric populations reported converging evidence of deficits in emotional processing, mainly due to prefrontal-limbic dysfunctions in GAD patients. Third, many studies used different medications, and pre- and post-treatment evaluation was not always possible. Fourth, most studies had a cross-sectional design and therefore it was not possible to determine whether brain abnormalities are an epiphenomenon of current psychiatric states. Fifth, functional studies were conducted using different activation paradigms (auditory or visual stimuli, emotional conflicts, monetary incentive delay task, decision-making task), therefore producing heterogeneous results. Finally, differences in acquisition equipment (1.5 vs. 3 Tesla scanner) and pre-processing methodologies may explain the high heterogeneity in terms of the results reported by original studies.


To date, several imaging studies have been carried out in GAD. These studies have produced a better understanding of the pathophysiological mechanisms involved in this disorder by suggesting abnormalities in key brain regions within the prefrontal-limbic network, including the DLPFC, ACC, amygdala, and VLPFC, ultimately strengthening a modular model for anxiety symptoms. From this perspective, one should bear in mind that the amygdala, cingulate, and PFC are strictly connected99,104,144,145 and are mainly involved in modulating social processing, recognition of emotional expressions, and fear-related behavior.36,145-149

However, a general consensus on the morpho-functional alterations characterizing GAD has not yet been reached, although hypoactivation of the pfc18,85,113 and hyperactivation of the amygdala98,112,115,149 are among the most consistent findings. These results are not surprising, since these two regions are closely intertwined. Indeed, the PFC regulates emotional distraction and maintains ongoing performance via its modulatory interactions with the amygdala; the PFC is also thought to implement controls that minimize performance disturbances from threat-induced anxiety and target distracting stimuli by modulating activity in regions involved in threat detection, such as the amygdala.92,113,115 This implies that the amygdala-PFC functional connectivity may help maintain performance in the presence of anxiety induced by threat. Therefore, the integrity of this modulation may help maintain the performance when threat-induced anxiety stimuli occur, by minimizing alterations and malfunctions caused by the activation of anxiety circuits. Interestingly, animal models seem to further confirm the importance of these structures in mediating emotional states, including anxiety. Indeed, they consistently suggest an important role played by limbic circuits, and especially the amygdala, in the response to fear.9,12,14

Furthermore, from the abovementioned neuroimaging studies it also emerges that GAD seems to be characterized by abnormalities in selective brain regions, including amygdala, ACC, DLPFC, and VLPFC, within the right hemisphere. Various studies demonstrate a functional lateralization of the amygdala, with the functional link between the right amygdala and PFC being preferentially involved in anxiety.53 For example, Lee et al.150 showed that viewing negative emotional images correlated with greater activation of the right hemisphere than left hemisphere. Right hemisphere involvement was predominantly observed by structural studies, ultimately supporting the hypothesis that right hemisphere alterations may be crucial for the pathophysiology of GAD, even during neurodevelopment.

In conclusion, brain imaging investigations are useful to elucidate in vivo brain correlates of GAD, which may ultimately be beneficial for more targeted pharmacological interventions. However, future cross-sectional and longitudinal neuroimaging studies, coupled with cognitive and genetic investigations, on un-medicated juvenile and adult patients, children at high risk of GAD as well as unaffected family members are warranted to further characterize the link between neural circuitries and the behavioral phenotype.


PB was partly supported by grants from the Fondazione Cariplo (Bando Ricerca Biomedica sulle Malattie Legate All'invecchiamento, 2015-2018 - AnchorAge project, grant 2014:0664).


The authors report no conflicts of interest.


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*These authors have contributed equally to this manuscript

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