scholarly journals Do anger perception and the experience of anger share common neural mechanisms? Coordinate-based meta-analytic evidence of similar and different mechanisms from functional neuroimaging studies

NeuroImage ◽  
2021 ◽  
Vol 230 ◽  
pp. 117777
Author(s):  
Sara Sorella ◽  
Alessandro Grecucci ◽  
Luca Piretti ◽  
Remo Job
2007 ◽  
Vol 362 (1481) ◽  
pp. 761-772 ◽  
Author(s):  
Mark D'Esposito

Working memory refers to the temporary retention of information that was just experienced or just retrieved from long-term memory but no longer exists in the external environment. These internal representations are short-lived, but can be stored for longer periods of time through active maintenance or rehearsal strategies, and can be subjected to various operations that manipulate the information in such a way that makes it useful for goal-directed behaviour. Empirical studies of working memory using neuroscientific techniques, such as neuronal recordings in monkeys or functional neuroimaging in humans, have advanced our knowledge of the underlying neural mechanisms of working memory. This rich dataset can be reconciled with behavioural findings derived from investigating the cognitive mechanisms underlying working memory. In this paper, I review the progress that has been made towards this effort by illustrating how investigations of the neural mechanisms underlying working memory can be influenced by cognitive models and, in turn, how cognitive models can be shaped and modified by neuroscientific data. One conclusion that arises from this research is that working memory can be viewed as neither a unitary nor a dedicated system. A network of brain regions, including the prefrontal cortex (PFC), is critical for the active maintenance of internal representations that are necessary for goal-directed behaviour. Thus, working memory is not localized to a single brain region but probably is an emergent property of the functional interactions between the PFC and the rest of the brain.


2014 ◽  
Vol 16 (1) ◽  
pp. 75-81 ◽  

It has been long established that psychological interventions can markedly alter patients' thinking patterns, beliefs, attitudes, emotional states, and behaviors. Little was known about the neural mechanisms mediating such alterations before the advent of functional neuroimaging techniques. Since the turn of the new millenium, several functional neuroimaging studies have been conducted to tackle this important issue. Some of these studies have explored the neural impact of various forms of psychotherapy in individuals with major depressive disorder. Other neuroimaging studies have investigated the effects of psychological interventions for anxiety disorders. I review these studies in the present article, and discuss the putative neural mechanisms of change in psychotherapy. The findings of these studies suggest that mental and behavioral changes occurring during psychotherapeutic interventions can lead to a normalization of functional brain activity at a global level.


2006 ◽  
Vol 6 ◽  
pp. 1146-1163 ◽  
Author(s):  
Jean Decety ◽  
Claus Lamm

Empathy is the ability to experience and understand what others feel without confusion between oneself and others. Knowing what someone else is feeling plays a fundamental role in interpersonal interactions. In this paper, we articulate evidence from social psychology and cognitive neuroscience, and argue that empathy involves both emotion sharing (bottom-up information processing) and executive control to regulate and modulate this experience (top-down information processing), underpinned by specific and interacting neural systems. Furthermore, awareness of a distinction between the experiences of the self and others constitutes a crucial aspect of empathy. We discuss data from recent behavioral and functional neuroimaging studies with an emphasis on the perception of pain in others, and highlight the role of different neural mechanisms that underpin the experience of empathy, including emotion sharing, perspective taking, and emotion regulation.


2018 ◽  
Author(s):  
Wei-Chun Wang ◽  
Erik A. Wing ◽  
David L.K. Murphy ◽  
Bruce M. Luber ◽  
Sarah H. Lisanby ◽  
...  

AbstractBrain stimulation technologies have seen increasing application in basic science investigations, specifically towards the goal of improving memory functioning. However, proposals concerning the neural mechanisms underlying cognitive enhancement often rely on simplified notions of excitation and, most applications examining the effects of transcranial magnetic stimulation (TMS) on functional neuroimaging measures have been limited to univariate analyses of brain activity. We present here analyses using representational similarity analysis (RSA) and encoding-retrieval similarity (ERS) analysis in order to quantify the effect of TMS on memory representations. To test whether an increase in local excitability in PFC can have measurable influences on upstream representations in earlier temporal memory regions, we compared 1Hz and 5Hz stimulation to the left dorsolateral PFC. We found that 10 minutes of 5Hz rTMS, relative to 1Hz, had multiple effects on neural representations: 1) greater RSA during both encoding and retrieval, 2) greater ERS across all items, and, critically, 3) increasing ERS in MTL with increasing univariate activity in DLPFC, and greater functional connectivity for hits than misses between these regions. These results provide the first evidence of rTMS enhancing semantic representations and strengthen the idea that rTMS may affect the reinstatement of previously experienced events in upstream regions.


2021 ◽  
Author(s):  
Laura M Hack ◽  
Katherine G Warthen ◽  
Xue Zhang ◽  
Boris D Heifets ◽  
Trisha Suppes ◽  
...  

Ketamine is a non-competitive antagonist of the N-methyl-D-aspartate (NMDA) glutamate receptor that is both a drug of abuse and an FDA-approved anesthetic used off-label for treatment-resistant depression. Despite its growing clinical use for depression and pain, the relationships between the acute dissociative and affective effects of ketamine that contribute to its abuse liability and therapeutic potential, along with the neural mechanisms underlying these effects, are not well established. To address this need, we have implemented a randomized, double-blinded, placebo-controlled, within-subjects mechanistic trial. Healthy adult subjects undergo infusion with two fixed doses of subanesthetic racemic intravenous (IV) ketamine and placebo and their acute responses are assessed with self-report questionnaires, behavioral measures, hormone levels, and neuroimaging. As planned in our analysis strategy, we present interim results for the first 7 subjects of our study, focusing on dissociative and affective states and resting functional brain coupling signatures of these states. The first key finding was that ketamine induced dose-dependent increases in dissociation and related intoxication. Ketamine also altered affective states, reducing emotional insensitivity but increasing stress assessed by cortisol. Second, ketamine had an effect on altering brain connectivity, particularly for specific connections between regions of the reward and negative affect circuits and involving thalamic sub-regions. Third, regarding brain-response associations, ketamine-induced increases in amygdala-anteroventral thalamus coupling were correlated with greater dissociation and intoxication, whereas decreases in the coupling of the anteromedial thalamus and posterior parietal thalamus were correlated with increased sensory aspects of reward responsiveness. Additional specific correlations were observed between affective measures relevant to reward responsiveness or its absence and drug-altered changes in localized functional connections involving the nucleus accumbens (NAcc), amygdala, and thalamic sub-regions. We also discovered a consistent profile of negative associations between ketamine altered connectivity involving the NAcc and specific thalamic sub-regions and effects of anxiety. Further, drug-altered increases in the coupling of the amygdala and anteroventral thalamus were associated with increases in cortisol, an indicator of biochemical stress. The findings highlight the utility of integrating self-reports, objective measures, and functional neuroimaging to disentangle the brain states underlying specific acute responses induced by ketamine. With the likely continued expansion of FDA indications for ketamine, understanding acute responses and underlying neural mechanisms is important for maximizing the therapeutic potential of ketamine while minimizing the risk of promoting misuse or abuse of this substance. Clinical Trial Registration ID #: NCT03475277


2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Dafa Shi ◽  
Yanfei Li ◽  
Haoran Zhang ◽  
Xiang Yao ◽  
Siyuan Wang ◽  
...  

Schizophrenia (SZ) is a severe psychiatric illness, and it affects around 1% of the general population; however, its reliable diagnosis is challenging. Functional MRI (fMRI) and structural MRI (sMRI) are useful techniques for investigating the functional and structural abnormalities of the human brain, and a growing number of studies have reported that multimodal brain data can improve diagnostic accuracy. Machine learning (ML) is widely used in the diagnosis of neuroscience and neuropsychiatry diseases, and it can obtain high accuracy. However, the conventional ML which concatenated the features into a longer feature vector could not be sufficiently effective to combine different features from different modalities. There are considerable controversies over the use of global signal regression (GSR), and few studies have explored the role of GSR in ML in diagnosing neurological diseases. The current study utilized fMRI and sMRI data to implement a new method named multimodal imaging and multilevel characterization with multiclassifier (M3) to classify SZs and healthy controls (HCs) and investigate the influence of GSR in SZ classification. We found that when we used Brainnetome 246 atlas and without performed GSR, our method obtained a classification accuracy of 83.49%, with a sensitivity of 68.69%, a specificity of 93.75%, and an AUC of 0.8491, respectively. We also got great classification performances with different processing methods (with/without GSR and different brain parcellation schemes). We found that the accuracy and specificity of the models without GSR were higher than that of the models with GSR. Our findings indicate that the M3 method is an effective tool to distinguish SZs from HCs, and it can identify discriminative regions to detect SZ to explore the neural mechanisms underlying SZ. The global signal may contain important neuronal information; it can improve the accuracy and specificity of SZ detection.


2017 ◽  
Vol 26 (4) ◽  
pp. 335-345 ◽  
Author(s):  
Takehiro Minamoto ◽  
Hiroyuki Tsubomi ◽  
Naoyuki Osaka

Working memory capacity (WMC) indicates an individual’s capability of executive attentional control, which is thought to be critical for general fluid intelligence. Individual variability in WMC has been attributed to the function of the lateral prefrontal cortex (lPFC); however, it is still less clear how the lPFC contributes to individual differences in WMC. Referring to functional neuroimaging studies, we consider three possible neural mechanisms. First, greater task-related activity of the lPFC predicts higher WMC across tasks. Second, a specific task-related functional connectivity also predicts higher WMC. The lPFC consistently forms a part of the connectivity while the coupled region varies depending on tasks. Thus, WMC is reflected by not a fixed but flexible connectivity regulated by the lPFC. Third, distinctive intrinsic connectivity even during resting state is also responsible for individual differences in WMC, with the lPFC seated at a critical hub within the network. These three neural mechanisms differentially contribute to WMC, and therefore, complementarily explain individual differences in WMC.


2012 ◽  
Vol 1473 ◽  
pp. 63-77 ◽  
Author(s):  
Esther K. Diekhof ◽  
Maria Keil ◽  
Katrin U. Obst ◽  
Ilona Henseler ◽  
Peter Dechent ◽  
...  

2011 ◽  
Vol 26 (S2) ◽  
pp. 2155-2155
Author(s):  
Y. cojan ◽  
L. Waber ◽  
A. Forster ◽  
P. Vuilleumier

Hypnosis may induce striking changes in consciousness and volition under the effect of particular suggestions. Popular theories often consider hypnosis as a state of consciousness where volition is abolished, while cognitive theories postulate that it involves inhibitory control processes mediated by frontal lobe areas. Moreover, since the time of Freud and Charcot, hypnotic effects have often been likened to the abnormal behaviour seen in some psychiatric disorders such as hysteria. However, the neural mechanisms of these different conditions and their putative relationships still remain unclear. By using functional neuroimaging methods in volunteers and patient, we can now identify specific changes in brain activity that underlie the behavioural and perceptual alterations observed during hypnosis and directly compare the latter with findings in hysteria conversion. Our recent results suggest both commonalities between these two conditions, as suggested by Freud and Charcot, but also clear differences that are consistent modern views on hysteria and brain functions. Moreover, hypnosis appears to reflect a state of heightened self-control and monitoring, in agreement with some cognitive theories. This research does not only provide novel insights on how the human mind can regulate itself, but also help better understand the neural underpinning of hysteria, a condition standing at the frontiers of psychiatry and neurology since more than a century.


2021 ◽  
Vol 12 ◽  
Author(s):  
Anil Kalyoncu ◽  
Ali Saffet Gonul

Over the last three decades, the brain's functional and structural imaging has become more prevalent in psychiatric research and clinical application. A substantial amount of psychiatric research is based on neuroimaging studies that aim to illuminate neural mechanisms underlying psychiatric disorders. Single-photon emission computed tomography (SPECT) is one of those developing brain imaging techniques among various neuroimaging technologies. Compared to PET, SPECT imaging is easy, less expensive, and practical for radioligand use. Current technologies increased the spatial accuracy of SPECT findings by combining the functional SPECT images with CT images. The radioligands bind to receptors such as 5-hydroxytryptamine 2A, and dopamine transporters can help us comprehend neural mechanisms of psychiatric disorders based on neurochemicals. This mini-review focuses on the SPECT-based neuroimaging approach to psychiatric disorders such as schizophrenia and major depressive disorder (MDD). Research-based SPECT findings of psychiatric disorders indicate that there are notable changes in biochemical components in certain disorders. Even though many studies support that SPECT can be used in psychiatric clinical practice, we still only use subjective diagnostic criteria such as the Diagnostic Statistical Manual of Mental Disorders (DSM-5). Glimpsing into the brain's biochemical world via SPECT in psychiatric disorders provides more information about the pathophysiology and future implication of neuroimaging techniques.


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