http://www.columbia.edu/cu/psychology/tor/Papers/luria_vans_wager_sub.pdf
However, the overall picture of prefrontal cortex function presented here
leads to a conceptualization of a cognitive processing hierarchy that proceeds along an
anterior to posterior gradient, from a) representations of stimulus value in the OFC and
rostral MPFC, to b) processing of internal goal and task-hierarchy representations in the
ALPFC, c) top-down biasing of stimulus representation in posterior cortices by DLPFC,
d) representation and updating of specific stimulus-response mapping rules in IFJ and
lateral premotor cortex, e) the motivated planning of overt motor behavior in pre-SMA
and cingulate motor areas, and f) the actual production of behavior in primary motor
cortex. This notion of hierarchy is present in related forms in several current models of
prefrontal function (e.g. Christoff & Keramatian, 2007; Koechlin et al., 2003).
Of course, any kind of processing hierarchy in prefrontal cortex does not proceed
in a truly linear fashion. One way to conceptualize cognitive control in the prefrontal
cortex is as proceeding from the result of evaluations about the value of various stimuli or
internal representations carried out in OFC. These valuations are then passed through the
dorsal anterior insula to lateral prefrontal cortex, wherein DLPFC selects representations
in posterior cortical regions that are task relevant and enhances their representation and/or
inhibits the representation of task irrelevant representations. When information needs to
be retrieved from LTM, the anterior portion of VLPFC is capable of initiating a
controlled retrieval process, and if there are multiple competing active representations
mid-VLPFC is recruited to select between them. The IFJ sets up S-R contingencies based
on the current context, and directs the development of motor plans in supplementary
motor cortex based on these contingencies. If additional processing on activated
representations is required, for example the solution of intermediate processing stages or
the completion of internally generated sub-goals, this is carried out by the RLPFC.
Finally, if an incorrect response is generated and detected prior to its execution, the right
IFG is brought online to inhibit the actual production of the response, and persistent
energization of the entire system is maintained by the DMJ.
Resting-State Functional Connectivity of the Medial Superior Frontal Cortex
Short frontal lobe connections of the human brain
Sensory Pathways and Emotional Context for Action in Primate Prefrontal Cortex
Within the lateral prefrontal cortex, there are preferential targets of projections from visual, auditory, and somatosensory cortices associated with directing attention to relevant stimuli and monitoring responses for specific tasks. Return pathways from lateral prefrontal areas to sensory association cortices suggest a role in selecting relevant stimuli and suppressing distracters to accomplish specific tasks. Projections from sensory association cortices to orbitofrontal cortex are more global than to lateral prefrontal areas, especially for posterior orbitofrontal cortex (pOFC), which is connected with sensory association cortices representing each sensory modality and with structures associated with the internal, or emotional, environment. A specialized projection from pOFC to the intercalated masses of the amygdala is poised to flexibly affect autonomic responses in emotional arousal or return to homeostasis. The amygdala projects to the magnocellular mediodorsal thalamic nucleus, which projects most robustly to pOFC among prefrontal cortices, suggesting sequential processing for emotions. The specialized connections of pOFC distinguish it as a separate orbitofrontal region that may function as the primary sensor of information for emotions. Lateral prefrontal areas 46 and 9 and the pOFC send widespread projections to the inhibitory thalamic reticular nucleus, suggesting a role in gating sensory and motivationally salient signals and suppressing distracters at an early stage of processing. Intrinsic connections link prefrontal areas, enabling synthesis of sensory information and emotional context for selective attention and action, in processes that are disrupted in psychiatric disorders, including attention-deficit/hyperactivity disorder.
Connections between the prefrontal cortex and the amygdala. (A) Projections from posterior orbitofrontal cortex (pOFC) to the amygdala (magenta) target robustly the inhibitory intercalated masses in a unidirectional pathway. The pOFC also has bidirectional connections with the basal nuclei, where its connections overlap (brown) with sensory input (yellow) that reaches the amygdala from sensory association cortices. (B) Pseudo colored surface maps of the rhesus monkey brain show the strength of pathways from the amygdala that terminate in lateral (top) and orbital (bottom) prefrontal areas. The pOFC receives the strongest projections from the amygdala; the thickness of the arrows indicates pathway strength. AMY, amygdala; BL, basolateral nucleus; BM, basomedial nucleus; Ce, central nucleus; Co, cortical nuclei; IM, intercalated masses; La, lateral nucleus.
Schematic representation of direct projections from the amygdala to posterior orbitofrontal cortex, as well as indirect projections through the thalamic mediodorsal magnocellular (MDmc) nucleus, which is innervated by the amygdala. The terminations in the cortex show the predominance of direct amygdalar projections to the superficial layers and MDmc projections mostly to the middle cortical layers. The strong reciprocal projections from orbitofrontal cortex to MDmc and from posterior orbitofrontal cortex to the amygdala are not shown. TRN, thalamic reticular nucleus.
Prefrontal and mediodorsal thalamic projections to the thalamic reticular nucleus (TRN). Different TRN sectors are color-coded based on projections from cortical areas (frontal and limbic: white; motor: brown; somatosensory/visceral: yellow; visual: blue; auditory: green). Projections from all prefrontal cortices and the mediodorsal nucleus in the rhesus monkey are concentrated in the rostral (prefrontal) sector of TRN. However, mediodorsal nucleus, dorsolateral prefrontal (areas 46 and 9), and the posterior orbitofrontal cortex also extend projections to the central and posterior sectors of TRN, potentially influencing the flow of information from sensory and motor thalamic nuclei to the cortex. In addition, prefrontal
Summary of amygdaloid outputs. Left: diagram of amygdaloid circuits involving the striatum pallidum medial thalamus and prefrontal cortex and output to the hypothalamus and brainstem. Right: diagram of areas of the cerebral cortex that receive axonal projections from the amygdala. The dark, medium, and lightly shaded areas represent high, medium, and low density of amygdaloid fibers. Modified from Amaral et al, 1992.
Anatomical circuits involving the medial prefrontal network (medial prefrontal network) and amygdala. Glutamatergic, presumed excitatory projections are shown in green, GABAergic projections are shown in orange, and modulatory projections in blue. In the model proposed here, dysfunction in the amygdala and/or the medial prefrontal network results in dysregulation of transmission throughout an extended brain circuit that stretches from the cortex to the brainstem, yielding the emotional, cognitive, endocrine, autonomic, and neurochemical manifestations of depression. Intra-amygdaloid connections link the basal and lateral amygdaloid nuclei to the central and medial nuclei of the amygdala and the bed nucleus of the stria terminalis (BNST). Parallel and convergent efferent projections from the amygdala and the medial prefrontal network to the hypothalamus, periaqueductal gray (PAG), nucleus basalis, locus ceruleus, dorsal raphe, and medullary vagal nuclei organize neuroendocrine, autonomic, neurotransmitter and behavioral responses to stressors and emotional stimuli (Davis and Shi, 1999, LeDoux, 2003). In addition, the amygdala and medial prefrontal network interact with the same cortico-striatal-pallidal-thalamic loop, through prominent connections both with the accumbens nucleus and medial caudate, and with the mediodorsal and paraventricular thalamic nuclei, which may function to control and limit responses to stress. Finally, the medial prefrontal network is a central node in the cortical 'default system' that appears to support self-referential functions such as mood. Other abbreviations: 5-HT—serotonin; ACh—acetylcholine; Cort.—corticosteroid; CRH—corticotrophin releasing hormone; Ctx—cortex; NorAdr—norepinephrine; PVN—paraventricular nucleus of the hypothalamus; PVZ—periventricular zone of hypothalamus; STGr—rostral superior temporal gyrus—VTA—ventral tegmental area.
Adapted from Pavuluri and Sweeney, J Am Acad Child Adolesc Psychiatry. 2008 November; 47(11): 1273–1288
Functional brain circuits in pediatric bipolar disorder: cognitive circuitry shows the key link between the DLPFC and the caudate involved in attentional control and the connection between the VLPFC and the caudate/ventral striatum implicated in response inhibition and attention. Frontolimbic affective circuitry spanning from the VLPFC to the amygdala participates in top-down regulation of emotion. Interfacing circuitry illustrates the functional connectivity between cognitive regions (DLPFC and dorsal anterior cingulate cortex) and affective regions (VLPFC and VACC/pregenual and subgenual anterior cingulate cortex) at the level of the prefrontal cortex and the intermediary anterior cingulate cortex, working in concert in people without disorder. Face response circuitry connects the visual or occipital cortex with fusiform gyrus (not shown here) and the STS. The occipitolimbic associative circuitry connects the occipital cortex to the right amygdala, involved in fast or automatic processing of emotional/facial stimuli. DLPFC = dorsolateral prefrontal cortex; VACC = ventral anterior cingulate cortex; VLPFC = ventrolateral prefrontal cortex; STS = superior temporal sulcus.
instantaneous correlation between the ROIs is shown as green lines. The distance between the nodes indicates the strength of their connection. The correspondence between ROI font colors and the RSNs is as follows. Red: default mode network (DMN), green: dorsal attention network (DAN), blue: hippocampal–cortical memory network (HCMN) and black: fronto-parietal control network (FPCN). The correspondence between ROI background colors and their anatomical location is as follows. Yellow: frontal cortex, pink: parietal cortex, blue: temporal cortex and green: cingulate cortex.
The reciprocal causal connections are shown as blue lines and the instantaneous correlation as green lines. The causal network formed by the blue lines represents the only strongly connected component in the entire network where in every ROI is mutually accessible causally by every other ROI.
paths with unidirectional influences
Neural circuits of the social brain. Social perception in primates is largely visual [71], with faces having an important role in social interactions. Processing of visual social information occurs via specialized neural mechanisms, interacting with systems in humans that are concerned with the ability to experience empathy and to ‘mentalize’. This figure summarizes key aspects of neural connectivity in the social brain, in which amygdala (AMG) connectivity has a central role [72]. Abbreviations: ACC, anterior cingulate cortex; AMG, amygdala; FG, fusiform gyrus; Hipp, hippocampus; IFG, inferior frontal gyrus; IOG, inferior occipital gyrus; Ins, insula; MP, medial pulvinar nucleus of the thalamus; MPFC, mesial prefrontal cortex; N.S., nervous system; OFC, orbitofrontal cortex; PAG, periaquaductal gray; Pars Oper, pars opercularis; Pars Orb, pars orbitalis; Pars Tri, pars triangularis; PhippG, parahippocampal gyrus; pSTS, posterior superior temporal sulcus; Rostral IPL,rostral inferior parietal lobule; SC, superior colliculus; TPJ, temporoparietal junction; VPMC, ventral premotor cortex.
dopaminergic-neuropeptide interactions in the social brain. This figure is a simplified account of neural circuits that are believed to contribute to the regulation of the social brain. Only a subset of interconnections between brain regions involved in processing emotions and social perceptions is shown. There are also noradrenergic and serotonergic outputs (from the locus coeruleus and the dorsal raphe, respectively), which innervate most of the regions illustrated. Glutamatergic pathways not shown include inputs from frontal cortical regions, the hippocampus and amygdala to the VTA and nucleus accumbens (NAcc) [73]. Circuits potentially responsive to social reward encompass the corticostriatal pathway (CSP), the nigrostriatal pathway (NSP), the mesocortical pathway (MCP) and the mesolimbic pathway (MLP). These dopaminergic circuits link the dorsal and ventral striatum to the prefrontal cortex. The ventral striatum is involved in the prediction of future probable rewards as a consequence of personal actions. By contrast, the dorsal striatum monitors the outcome of those actions, querying ‘was the reward achieved?’ to choose better actions in future [74]. The model is an oversimplification of the organization of neural systems that underpin the complex human interplay involved in social interactions [75]. Abbreviations: ACC, anterior cingulate cortex; AMG, amygdala; Ant. Hypl, anterior hypothalamus; BA, Brodmann area; Caud, caudate; CSP, corticostriatal pathway; Hipp, hippocampus; IFG, inferior frontal gyrus; LSN, lat
Neural model of emotion regulation illustrating neural systems implicated in voluntary and automatic subprocesses of emotion regulation. (a) Feedforward pathway: medial prefrontal cortical system, including the OFC, subgenual ACG, rostral ACG, hippocampus and parahippocampus and MdPFC. (b) Feedback pathway: lateral prefrontal cortical system, including DLPFC and VLPFC. DLPFC, dorsolateral prefrontal cortex; MdPFC, dorsomedial prefrontal cortex; ACG, anterior cingulate gyrus; VLPFC, ventrolateral prefrontal cortex; OFC, orbital frontal cortex; hipp/parahip, hippocampus-parahippocampus region.
These abnormalities, which appear to be predominantly within the left-sided ventromedial prefrontal cortical regions implicated in automatic emotion regulation, may underlie the mood instability of adult bipolar disorder (BD). For example, functional neuroimaging studies have demonstrated greater subcortical limbic activity (including amygdala, ventral striatum and hippocampus) to emotional stimuli in adult BD relative to healthy individuals during mania,136, 147 depression137 and when euthymic.139, 140, 161, 162 Studies employing automatic attentional control paradigms show reduced activity predominantly in left-sided ventromedial PFC in BD relative to healthy adults.149, 150 Studies employing automatic emotion regulation paradigms also show reduced activity predominantly within left-sided ventromedial prefrontal cortical regions implicated in automatic emotion regulation, both during remission and mania in BD relative to healthy adults.157, 159 Structural neuroimaging findings show gray matter structural changes in left OFC, and abnormal integrity and number of white matter fibers connecting left OFC and subcortical limbic regions implicated in emotion processing, in adult BD.112, 120, 126, 131, 132, 133 There are more inconsistent findings regarding the roles of lateral and dorsal prefrontal cortical regions implicated in voluntary emotion regulation in adult BD. For example, findings from studies employing voluntary attentional control paradigms per se demonstrate patterns of reduced,143, 144 although also increased,145, 152 activity in different bilateral lateral and dorsal prefrontal cortical regions in BD vs healthy adults, whereas findings from studies employing voluntary emotion regulation paradigms indicate greater activity in BD than healthy adults bilaterally in these lateral and dorsal prefrontal cortical regions, together with greater activity in bilateral ventromedial prefrontal cortical regions implicated in automatic emotion regulation.140,155 The latter may mediate the voluntary emotion regulatory roles of the previous lateral and dorsal prefrontal cortical regions during voluntary emotion regulation.14 DLPFC, dorsolateral prefrontal cortex; MdPFC, dorsomedial prefrontal cortex; ACG, anterior cingulate gyrus; VLPFC, ventrolateral prefrontal cortex; OFC, orbital frontal cortex; hipp/parahip, hippocampus-parahippocampus region.
The Neurocircuitry of Emotion Regulation
http://www.nature.com/npp/journal/v35/n1/full/npp2009121a.html
In this review, we examine the functional architecture underlying the regulation of fear, focusing on four different types of regulatory processes: extinction, cognitive emotion regulation, active coping, and reconsolidation. During extinction, fear is diminished through learning that a previously threatening stimulus no longer signals danger. Cognitive emotion regulation involves using various mental strategies to modify a fear response. In active coping, fear is regulated through the performance of behaviors that reduce exposure to a fear-evoking stimulus. Finally, a fear memory can be disrupted after it is recalled through pharmacological or behavioral manipulations that block its reconsolidation. Our understanding of the neurocircuitry underlying the control of fear stems from research across species clarifying the mechanisms by which we learn and modify emotional associations, as well as studies exploring forms of cognitive emotion regulation that are uniquely human. In each section, we first review what is known about the neurocircuitry of the regulatory method from the non-human animal literature, followed by a review of the evidence available from human studies. We also briefly highlight the relevance of each regulatory method to the treatment of fear-related anxiety disorders.
CS-conditioned stimulus
US-unconditioned stimulus
EXTINCTION
Extinction learning involves the formation of a novel stimulus-outcome association. The CS that earlier predicted danger now predicts safety. This new extinction memory does not erase or overwrite the memory for the original CS–US association. This is evidenced by the re-emergence of the CR in certain circumstances including a shift in context (renewal), unsignaled presentation of the US (reinstatement), or the mere passage of time (spontaneous recovery)
neural mechanisms of fear conditioning across species indicate that the amygdala has a critical function in the acquisition, storage, and expression of conditioned fear. The lateral nucleus (LA) of the amygdala is thought to encode the association between CS- and US-related sensory inputs. When the CS is present, the LA excites the central nucleus (CE), which controls passive forms of expression of the CR through descending projections to the brainstem and hypothalamus. The LA also has indirect projections to the CE, through the basal nucleus (B) and the intercalated (ITC) cell masses, clusters of inhibitory GABAergic neurons. The B itself also projects directly to the ITC. These pathways provide multiple potential circuits for gating fear expression. Knowledge of the fear conditioning circuitry has allowed researchers to investigate functional changes that occur during extinction.
This body of research suggests that interaction between the amygdala, the ventromedial prefrontal cortex (vmPFC), and the hippocampus supports the acquisition, storage, retrieval, and contextual modulation of fear extinction
Although the amygdala seems to be critical for the acquisition of extinction learning, convergent evidence suggests that the vmPFC is necessary for the retention and recall of extinction. In line with the well-documented observation in human beings and primates that damage to the PFC leads to perseverative behavior observed that rats with vmPFC lesions required many more unreinforced presentations of the CS to extinguish conditioned responding. A subsequent study pointed to the infralimbic (IL) region of the vmPFC as a potential site of extinction consolidation, reporting that pre-training IL lesions left within-session acquisition of extinction intact, but impaired extinction retrieval on the following day
administration of an NMDA antagonist within the vmPFC all impair retrieval of extinction suggest that the plasticity in this region supports extinction consolidation
After extinction, contextual information has a critical function in determining whether the original fear memory or the new extinction memory should control fear expression . Evidence suggests that hippocampal projections to the vmPFC and the amygdala mediate the context-dependent expression of extinction
Furthermore, inactivation of the hippocampus before extinction learning impairs extinction recall on the subsequent day, suggesting that the hippocampus regulates fear expression both outside and within the extinction context. One suggestion is that the hippocampus controls the context-specific retrieval of extinction through projections to the vmPFC
studies have also observed increased vmPFC activation during extinction retrieval
hypocampus may mediate context-dependent extinction recall through connections with the vmPFC
Finally, a recent study reported that mice lacking the serotonin transporter gene show marked deficits in extinction retention (Wellman et al, 2007). As human beings with the low-expressing short allele variant of this gene exhibit decreased functional connectivity between the vmPFC and amygdala (Pezawas et al, 2005), this suggests a possible genetic basis for individual differences in extinction learning, as well as a potential risk factor for the development of anxiety disorders.
COGNITIVE REGULATION STRATEGIES
Many different cognitive strategies can be used to regulate emotion, including reappraisal, selective attention, and suppression
cognitive regulation techniques often require the active engagement of the participants
reappraisal of negative scenes, as opposed to just attending to them, resulted in increased activation of both dorsolateral PFC (DLPFC) and ventrolateral PFC (VLPFC) regions along with dorsal anterior cingulate, and decreased activation of a region of the orbitofrontal cortex and the amygdala
It was proposed that underlying the reappraisal of negative effect, the engagement of the DLPFC may be linked to executive control processes required in the online manipulation of the interpretation of scenes, and the decrease of amygdala activation may reflect the cognitive control of subcortical mechanisms linked to the representation of negative emotional value
studies consistently report decreased amygdala activation and increased activation of the DLPFC and/or VLPFC, along with some involvement of medial PFC (mPFC) regions.
In this model, the DLPFC is involved in the effortful manipulation or interpretation of the stimulus and the VLPFC may have a function in the selection of emotion interpretation . The changes observed in the amygdala are the result of the top down modulation of the emotional meaning of the stimulus. One important aspect of this model is that the DLPFC does not project directly to the amygdala
Instead its influence on the amygdala is likely mediated by ventral and mPFC regions that have stronger connections with the amygdala . Although this model of emotion regulation is somewhat speculative
ACTIVE COPING
parts of amygdala
RECONSOLIDATION
During this consolidation period, it is possible to disrupt the formation of the memory, but once this time window has passed, the memory may be modified or inhibited, but not eliminated. However, recent studies support an alternative view of memory in which every time a memory is retrieved, the underlying memory trace is once again labile and fragile, requiring another consolidation period called reconsolidation. This reconsolidation period allows another opportunity to disrupt the memory.
As outlined above, extinction training usually results in two competing memory traces, a CS–US trace that competes for expression with a CS–noUS trace. As both traces exist, fear can return with standard extinction training, as different circumstances favor the expression of one trace over another (Bouton, 2004). However, the study by Monfils et al (2009) suggests that extinction training during the reconsolidation window results in an alternative memory representation. When extinction learning occurs during the time period in which the original CS–US trace is labile, this original trace may be significantly altered to incorporate the CS–noUS learning before re-storage. The result is either an alternative or combined memory trace representing the significance of the CS. Importantly, this new memory trace does not support the return of fear.
Model for the neurocircuitry of fear regulation in humans through extinction, cognitive regulation, active coping, and reconsolidation. A network of structures including the amygdala, hippocampus, vmPFC, dlPFC, and the striatum are involved in the regulation of conditioned fear expression. The lateral nucleus (LA) of the amygdala receives afferent sensory input and is the site of CS–US plasticity during fear conditioning. The LA projects to the central nucleus (CE), which has outputs to regions that control the expression of the CR. Projections from the hippocampus to the basal nucleus (B) of the amygdala process contextual information during conditioning, and may gate fear expression through the CE. During extinction learning and consolidation, inhibitory connections between the vmPFC and the intercalated (ITC) cell masses are established. During extinction recall, these connections inhibit fear expression through projections to the CE. Inhibitory connections between the vmPFC and the LA may also regulate fear expression during extinction recall through the CE. Contextual modulation of extinction expression is mediated by projections from the hippocampus to the vmPFC and/or LA. During cognitive regulation, the dorsolateral prefrontal cortex (dlPFC) regulates fear expression through projections to the vmPFC, which in turn inhibits amygdala activity. During active coping, information from the LA is routed not to the CE, which drives fear expression, but to the B, which in turn projects to the striatum. The striatum is thought to reinforce instrumental action taken during escape-from-fear or avoidance learning. Reconsolidation diminishes conditioned fear expression through alteration of the original CS–US association stored in the LA.
We show that activity in right rostrolateral prefrontal cortex (rlPFC) satisfies three constraints for a role in metacognitive aspects of decision-making.
*These cognitive and motor systems, respectively, include cortical networks (prefronto-parietal and precentral regions) as well as subregions of the dorsal basal ganglia (caudate and putamen). Both systems appeared sensitive to incentive motivation: their activity increases when we work for higher rewards.
ventral prefrontal cortex and the ventral basal ganglia, has been implicated in encoding expected rewards