Prof. Dr. Sebastian Markett

Prof. Markett erforscht die biologischen und genetischen Grundlagen von Gehirnalterung und kognitiven Funktionen durch Integration von Neuroimaging, Genomdaten und Transkriptomik. Sein aktueller Fokus liegt auf der Identifikation von genetischen Varianten und Gehirnnetzwerk-Mustern, die individuelle Unterschiede in der Gehirnalterung und kognitiven Leistungen (insbesondere Arbeitsgedächtnis) erklären — mit dem Ziel, Biomarker für gesundes Altern und neurologische Erkrankungen wie Alzheimer zu entwickeln. Für Unternehmen im Bereich Diagnostik, Pharmazie und Gesundheitstechnologie bietet dies Ansatzpunkte für präventive Biomarker und personalisierte Interventionen; die Erkenntnisse sind auch für Versicherungen und öffentliche Gesundheitssysteme relevant, um Altersgesundheit besser vorherzusagen und zu managen.

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• Neurotizismus verstehen durch Integration von Genetik und struktureller Gehirnnetzwerk-Konnektivität

  Quelle ↗

  Förderer: DFG Sachbeihilfe Zeitraum: 01/2026 - 12/2028 Projektleitung: Prof. Dr. Sebastian Markett

• Konnektom und Kognition

  Quelle ↗

  Förderer: DFG Sachbeihilfe Zeitraum: 05/2018 - 07/2024 Projektleitung: Prof. Dr. Sebastian Markett

• Is it meaningful to distinguish between generalized and specific Internet addiction? Evidence from a cross‐cultural study from <scp>G</scp>ermany, <scp>S</scp>weden, <scp>T</scp>aiwan and <scp>C</scp>hina

  2014

  Asia-Pacific Psychiatry · DOI

  INTRODUCTION: It has been hypothesized that two distinctive forms of Internet addiction exist. Here, generalized Internet addiction refers to the problematic use of the Internet covering a broad range of Internet-related activities. In contrast, specific forms of Internet addiction target the problematic use of distinct online activities such as excessive online video gaming or activities in social networks. METHODS: The present study investigates the relationship between generalized and specific Internet addiction in a cross-cultural study encompassing data from China, Taiwan, Sweden and Germany in n = 636 participants. In this study, we assessed - besides generalized Internet addiction - addictive behavior in the domains of online video gaming, online shopping, online social networks and online pornography. RESULTS: The results confirm the existence of distinct forms of specific Internet addiction. One exception, however, was established in five of the six samples under investigation: online social network addiction correlates in large amounts with generalized Internet addiction. DISCUSSION: In general, it is of importance to distinguish between generalized and specific Internet addiction.

• Assessing the function of the fronto‐parietal attention network: Insights from resting‐state fMRI and the attentional network test

  2013

  Human Brain Mapping · DOI

  In the recent past, various intrinsic connectivity networks (ICN) have been identified in the resting brain. It has been hypothesized that the fronto-parietal ICN is involved in attentional processes. Evidence for this claim stems from task-related activation studies that show a joint activation of the implicated brain regions during tasks that require sustained attention. In this study, we used functional magnetic resonance imaging (fMRI) to demonstrate that functional connectivity within the fronto-parietal network at rest directly relates to attention. We applied graph theory to functional connectivity data from multiple regions of interest and tested for associations with behavioral measures of attention as provided by the attentional network test (ANT), which we acquired in a separate session outside the MRI environment. We found robust statistical associations with centrality measures of global and local connectivity of nodes within the network with the alerting and executive control subfunctions of attention. The results provide further evidence for the functional significance of ICN and the hypothesized role of the fronto-parietal attention network.