Limbic Nuclei of Thalamus and Connections of Limbic Cortex

Yakovlev, Paul I.; Locke, Simeon; Koskoff, D. Y.; Patton, R. A.

doi:10.1001/archneur.1960.00450060008002

Cited by 115 publications

(10 citation statements)

References 45 publications

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“…The pulvinar nuclei may be the key structure in the mechanism by which subcortical processing of emotional stimuli becomes cortical by elevating cortical attention to specific emotionally relevant stimuli. It is also worth mentioning that the anterior thalamus has long been associated with mood or subjective affect due to its numerous connections to limbic structures (Yakovlev et al, 1960; Taber et al, 2004). As such, the anterior thalamic nuclei’s contributions to subjective affect coupled with pulvinar’s contribution to processing emotional stimuli may converge in the cortical areas (particularly in cingulate cortex, Shackman et al, 2011), as these emotional aspects seem somewhat independent at the level of thalamus.…”

Section: Lateral Subcortical and Bilateral Cortical Emotion Networkmentioning

confidence: 99%

Independent and Collaborative Contributions of the Cerebral Hemispheres to Emotional Processing

Shobe

2014

Front. Hum. Neurosci.

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Presented is a model suggesting that the right hemisphere (RH) directly mediates the identification and comprehension of positive and negative emotional stimuli, whereas the left hemisphere (LH) contributes to higher level processing of emotional information that has been shared via the corpus callosum. RH subcortical connections provide initial processing of emotional stimuli, and their innervation to cortical structures provides a secondary pathway by which the hemispheres process emotional information more fully. It is suggested that the LH contribution to emotion processing is in emotional regulation, social well-being, and adaptation, and transforming the RH emotional experience into propositional and verbal codes. Lastly, it is proposed that the LH has little ability at the level of emotion identification, having a default positive bias and no ability to identify a stimulus as negative. Instead, the LH must rely on the transfer of emotional information from the RH to engage higher-order emotional processing. As such, either hemisphere can identify positive emotions, but they must collaborate for complete processing of negative emotions. Evidence presented draws from behavioral, neurological, and clinical research, including discussions of subcortical and cortical pathways, callosal agenesis, commissurotomy, emotion regulation, mood disorders, interpersonal interaction, language, and handedness. Directions for future research are offered.

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Section: Lateral Subcortical and Bilateral Cortical Emotion Networkmentioning

confidence: 99%

Independent and Collaborative Contributions of the Cerebral Hemispheres to Emotional Processing

Shobe

2014

Front. Hum. Neurosci.

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“…This may be of relevance to the antidepressant effect. Both thalamus and hippocampus have been implicated in the pathology of MDD ( Malykhin & Coupland, 2015 ; Yakovlev et al, 1960 ; Young et al, 2004 ). Furthermore, the network connectivity between sgACC and the default mode network, including RSC is increased in patients with MDD, and has been suggested to underlie depressive ruminations ( Hamilton et al, 2015 ), a process hypothesized to be of great significance in the maintenance of depressed mood ( Disner et al, 2011 ).…”

Section: Discussionmentioning

confidence: 99%

Ketamine modulates subgenual cingulate connectivity with the memory-related neural circuit—a mechanism of relevance to resistant depression?

Wong

O’Daly

Mehta

et al. 2016

PeerJ

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Background. Ketamine has been reported to have efficacy as an antidepressant in several studies of treatment-resistant depression. In this study, we investigate whether an acute administration of ketamine leads to reductions in the functional connectivity of subgenual anterior cingulate cortex (sgACC) with other brain regions.Methods. Thirteen right-handed healthy male subjects underwent a 15 min resting state fMRI with an infusion of intravenous ketamine (target blood level = 150 ng/ml) starting at 5 min. We used a seed region centred on the sgACC and assessed functional connectivity before and during ketamine administration.Results. Before ketamine administration, positive coupling with the sgACC seed region was observed in a large cluster encompassing the anterior cingulate and negative coupling was observed with the anterior cerebellum. Following ketamine administration, sgACC activity became negatively correlated with the brainstem, hippocampus, parahippocampal gyrus, retrosplenial cortex, and thalamus.Discussion. Ketamine reduced functional connectivity of the sgACC with brain regions implicated in emotion, memory and mind wandering. It is possible the therapeutic effects of ketamine may be mediated via this mechanism, although further work is required to test this hypothesis.

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“…In this model, the authors updated the classic limbic model as proposed by [Papez, 1937; Yakovlev et al, 1960] to include three distinct but partially overlapping networks: the Temporo-amygdala-orbitofrontal network, the Hippocampaldiencephalic and parahippocampal-retrosplenial network, and the Dorsomedial default network. Thus, our results offer connectome evidence for fundamental differences between the affective/limbic system and the executive/cognitive-control system (the latter regions responsible for specialized and well-defined higher cortical functions).…”

Section: Discussionmentioning

confidence: 99%

Measuring embeddedness: Hierarchical scale‐dependent information exchange efficiency of the human brain connectome

Zhan

Conrin

et al. 2015

Human Brain Mapping

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This paper presents a novel approach for understanding information exchange efficiency and its decay across hierarchies of modularity, from local to global, of the structural human brain connectome. Magnetic resonance imaging techniques have allowed us to study the human brain connectivity as a graph, which can then be analyzed using a graph-theoretical approach. Collectively termed brain connectomics, these sophisticated mathematical techniques have revealed that the brain connectome, like many networks, is highly modular and brain regions can thus be organized into communities or modules. Here, using tractography-informed structural connectomes from 46 normal healthy human subjects, we constructed the hierarchical modularity of the structural connectome using bifurcating dendrograms. Moving from fine to coarse (i.e., local to global) up the connectome's hierarchy, we computed the rate of decay of a new metric that hierarchically preferentially weighs the information exchange between two nodes in the same module. By computing “embeddedness”-the ratio between nodal efficiency and this decay rate, one could thus probe the relative scale-invariant information exchange efficiency of the human brain. Results suggest that regions that exhibit high embeddedness are those that comprise the limbic system, the default mode network, and the subcortical nuclei. This supports the presence of near-decomposability overall yet relative embeddedness in select areas of the brain. The areas we identified as highly embedded are varied in function but are arguably linked in the evolutionary role they play in memory, emotion and behavior.

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Limbic Nuclei of Thalamus and Connections of Limbic Cortex

Cited by 115 publications

References 45 publications

Independent and Collaborative Contributions of the Cerebral Hemispheres to Emotional Processing

Independent and Collaborative Contributions of the Cerebral Hemispheres to Emotional Processing

Ketamine modulates subgenual cingulate connectivity with the memory-related neural circuit—a mechanism of relevance to resistant depression?

Measuring embeddedness: Hierarchical scale‐dependent information exchange efficiency of the human brain connectome

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