Search results

The purpose of this paper is to examine the changes of brain functional network after electroconvulsive therapy (ECT) treatment in major depressive disorder (MDD).

In this study, resting electroencephalography (EEG) is used to explore the changes in spectral power density, functional connectivity and network topology elicited by an acute open-label course of ECT in a group of 19 MDD subjects. The brain functional network based on Pearson correlation is constructed in a continuous threshold space (0.38–0.59). Complex network theory is used to analyze the network characteristic such as the length of the characteristic path, clustering coefficient, degree, betweenness centrality, global efficiency and small-world architecture.

The results show that ECT increased the spectral power density of Delta, Theta and Alpha1 bands and the full frequency. ECT increases the functional connectivity in Delta and full frequency and reduces the functional connectivity in Alpha2 band. In the selected threshold space, the clustering coefficient, global efficiency and small-world attributes of the network are changed significantly after ECT.

The findings indicate that resting EEG could effectively characterize the changes of brain functional networks following ECT in MDD. The results provide a theoretical basis to explore the neurophysiological mechanism of ECT in the field of MDD treatment.

Purpose – In recent decades, some sociologists have turned to evolutionary biology, neuroscience, and cognitive science to support, modify, and reconfigure existing social psychological theory. In this chapter, we build on this momentum by considering the relevance of current work in affective and cognitive neuroscience for understanding emotions and the self. Our principal aim is to enlarge the range of phenomena currently considered by sociologists who study emotion while showing how affective dynamics play an important role across most outcomes and processes of interest to social scientists.

Approach – We focus on the ways external social objects become essential to, and emotionally significant for, the self. To that end, we draw on ideas from phenomenology, pragmatism, classic symbolic interactionism, and dramaturgy. We show how basic affective systems graft on, build from, and extend current social psychological usages of emotions as well as the important sociological work being done on self, from both symbolic interactionist (SI) and identity theory (IT) perspectives. Finally, we turn to the promising directions in studying emotional biographies and various aspects related to embodiment.

Findings – Affective systems consist of brain networks whose connections deepen when activated, with interesting variations observable at the neural, individual, and social levels in which one or more system is more salient than others. Affective systems may come to saturate the construction and maintenance of an autobiography or collective biography, with consequences for self-projection, self-other attunement, and embodied action. In turning to embodiment, however, we consider aspects of cognitive neuroscience that can contribute to ongoing work in neurosociology building on symbolic interactionism.

Practical Implications – The focus on affective systems suggests new research agendas in leveraging emerging neurosociological methods in the laboratory, while pushing for novel, naturalistic observational strategies. The latter, in particular, may be key to deepening sociology's contributions to neuroscience, better positioned to bring the full disciplinary toolkit to bear on these questions.

Social Implications – In considering the embodied and projective aspects of the self, we show how work examining convergence and divergence between embodied and linguistic pathways opens up new insights into how the self develops or acquires behavioral repertoires. As such, this chapter points to the need for holistic approach to understanding the social actor and, thereby, how political, economic, historical, and cultural factors shape self as much as biogenetic and psychological.

Originality of the Chapter – Sociologists think of emotions as either dependent or intervening variables: (1) signaling identity or situational incongruence, (2) states to be managed, and (3) structural dimensions of superordinate–subordinate relationships. Our integration of the theory of affective systems emphasizes the causal primacy emotions have over other behavioral and cognitive functions, clarifying how they play into the construction and maintenance of self and social experience.

Purpose – To present the connection between modern network theory and Hayek's ideas on the brain and spontaneous orders.

Methodology/approach – To show that Hayek's ideas on the brain, spontaneous order, and why socialism cannot work are confirmed by network and self-organization theory, and to use network and self-organization theory to bridge Hayek's theory of the mind to his work on spontaneous orders.

Findings – Spontaneous orders are scale-free networks, but humans evolved a preference for hierarchical networks, which are typical of tribes and firms – and socialism. However, hierarchies only work for teleological organizations, not for ateleological spontaneous orders like economies. Part of the human preference for human-organized networks comes from our “intentional stance,” which automatically sees patterns as evidence of an organizer.

Research limitations/implications – This work acts as an introduction to possible directions in spontaneous order research. New work in bridging evolutionary and cognitive psychology (which includes Hayek's work) with self-organization and network theory acts as a promising development for neuro-Hayekians.

Social implications – Understanding there is an evolutionary bias for certain kinds of networks, even though those are not appropriate for certain kinds of social orders, and understanding the nature of these networks should help us understand the true relationships among individuals, organizations, and spontaneous orders.

Originality/value of chapter – This work brings Hayek “up to date,” with network theory and self-organization, showing to what extent Hayek was talking about these concepts. Seeing the similarities and differences between hierarchical and scale-free networks helps one understand how they come about, and in what contexts.

The purpose of this paper is to determine the auditory-sensory characteristics of the digital pop music that is particularly successful on the YouTube website by measuring young listeners’ brain responses to highly successful pop music noninvasively.

The authors conducted a functional near-infrared spectroscopy (fNIRS) experiment with 56 young adults (23 females; mean age 24 years) with normal vision and hearing and no record of neurological disease. The authors calculated total blood flow (TBF) and hemodynamic randomness and examined their relationships with online popularity.

The authors found that TBF to the right medial prefrontal cortex increased more when the young adults heard music that presented acoustic stimulation well above previously defined optimal sensory level. The hemodynamic randomness decreased significantly when the participants listened to music that provided near- or above-OSL stimulation.

Online popularity, recorded as the number of daily hits, was significantly positively related with the TBF and negatively related with hemodynamic randomness.

These findings suggest that a new media marketing strategy may be required that can provide a sufficient level of sensory stimulation to Millennials in order to increase their engagements in various use cases including entertainment, advertising and retail environments.

Digital technology has so drastically reduced the costs of sharing and disseminating information, including music, that consumers can now easily use digital platforms to access a wide selection of music at minimal cost. The structure of the current music market reflects the decentralized nature of the online distribution network such that artists from all over the world now have equal access to billions of members of the global music audience.

This study confirms the importance of understanding target customer’s sensory experiences would grow in determining the success of digital contents and marketing.

This chapter overviews organizational neuroscience (ON), covering the past, present, and future of this growing field of inquiry. First, we define ON and clarify the boundaries of the field. Second, we describe the evolution of ON by starting with early papers that tended to discuss the potential of ON to benefit both research and practice. Throughout its development, debates have abounded about the value of ON. Such debates are often related to challenges in collecting, integrating, interpreting, and using information from the brain-level of analysis. It is time for the field to move beyond these debates to focus on applying neuroscience to further theory development and reveal more comprehensive answers to research questions of importance to both academics and practitioners. Third, we propose and describe future research directions for ON. The research directions that we propose are merely a sample of the many paths along which ON inquiry can move forward. Fourth, we outline potential practical implications of ON, including: training and development, job design, high-performance assessment, motivating communications, and conflict prevention. Finally, we draw conclusions about ON as it stands today, address challenges in developing ON, and point out opportunities. We conclude with takeaways and highlight the importance of ON for both academics and practitioners.

This conceptual article presents a schematic for use with extended cybernetic recursion in living systems and applies it to the issue of hyper vigilance as a demonstration of its utility.

The test-operate-test-exit (TOTE) schematic of Miller et al. (1960) is critically evaluated along with other schematics, including those of ordered cybernetics, and a new schematic is proposed, a recursive test-operate-test (rTOT), which emphasizes teleological purpose and hierarchical structure. The background psychophysiology of trauma is reviewed and then rTOT is applied to hyper vigilance, a cardinal component of post-traumatic stress disorder (PTSD).

Once the schematic was developed, it was applied to the behavior of hyper vigilance. Other applications are suggested.

As demonstrated, the rTOT schematic has potentially wide application because of its pragmatic and detailed structure.

The rTOT requires careful consideration of teleological purposes for its application and is simple enough, but also complex enough, for relevant utilization. Its compact nature and adjustable hierarchy scope are good mini-max complexity solutions for cybernetic, information modeling schematics.

The revealed teleological purpose of the trauma adaptation of hyper vigilance presents significant alternative formulation options for prevention and intervention.

While the rTOT schematic is derived from previous schematics, it is original in its emphasis on information processing, the teleological aspects of extended recursion and on the provision of a hierarchical structure for those recursions. It is considerably more compact than other schematics associated with the ordered cybernetics literature. The explication of the adaptation model for post-trauma consequences is significantly enhanced by the rTOT application.

This paper explores international trade of the Chinese manufacturing industries through the lenses of network analysis (NA) to visualise the world trade network of the Chinese economy, describe its topology and better explain the international organisation of Chinese manufacturing industries.

The authors built a dataset of 40,550 Chinese companies and their 107,026 subsidiaries in 118 countries from Orbis-BVD and used a NA to investigate the connection between China and other countries. In particular, the authors studied the connections between Chinese companies and their subsidiaries in order to build a network of Chinese industries.

The authors found that the network of Chinese companies is ramified but not wide and it can be divided into two clusters. Moreover, the relations between China and other peripheral countries are strongly mediated by a few leading locations (e.g. Hong Kong and the USA).

This paper contributes to the literature in several ways. First, the authors provide empirical evidence on the magnitude and ramifications of Chinese enterprises in the world. The existing studies generally focus on applying NA to sectoral insights (Mao and Yang, 2012; Shaikh et al., 2016; Zheng et al., 2016; Wanzenbö ck, 2018; Krichene et al., 2019), whereas in this work the authors take a comprehensive view of the entire Chinese manufacturing system. Second, this paper complements the existing literature identifying the difference between cluster levels in Chinese manufacturing (Wu and Jiang, 2011) by proposing a cluster centralisation method to analyse the international network of Chinese firms rather than just the national network. Finally, the results also shed light on the international trade relationship between China, Hong Kong and the USA.

Neuroscientists act as proxies for implied anthropomorphic signal-processing beings within the brain, Homunculi. The latter examine the arriving neuronal spike-trains to infer internal and external states. But a Homunculus needs a brain of its own, to coordinate its capabilities – a brain that necessarily contains a Homunculus and so on indefinitely. Such infinity is impossible – and in well-cited papers, Attneave and later Dennett claim to eliminate it. How do their approaches differ and do they (in fact) obviate the Homunculi?

The Attneave and Dennett approaches are carefully scrutinized. To Attneave, Homunculi are effectively “decision-making” neurons that control behaviors. Attneave presumes that Homunculi, when successively nested, become successively “stupider”, limiting their numbers by diminishing their responsibilities. Dennett likewise postulates neuronal Homunculi that become “stupider” – but brain-wards, where greater sophistication might have been expected.

Attneave’s argument is Reductionist and it simply assumes-away the Homuncular infinity. Dennett’s scheme, which evidently derives from Attneave’s, ultimately involves the same mistakes. Attneave and Dennett fail, because they attempt to reduce intentionality to non-intentionality.

Homunculus has been successively recognized over the centuries by philosophers, psychologists and (some) neuroscientists as a crucial conundrum of cognitive science. It still is.

Cognitive-science researchers need to recognize that Reductionist explanations of cognition may actually devolve to Homunculi, rather than eliminating them.

Two notable Reductionist arguments against the infinity of Homunculi are proven wrong. In their place, a non-Reductionist treatment of the mind, “Emergence”, is discussed as a means of rendering Homunculi irrelevant.