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Related Concept Videos

Interference and Decay01:16

Interference and Decay

609
Forgetting is a complex cognitive phenomenon influenced by several factors, among which interference and decay are particularly prominent. These processes explain why individuals often struggle to retrieve specific information from memory, leading to lapses in recall that can be observed in everyday situations.
Interference occurs when competing memories hinder the retrieval of particular information. It can be classified into two types: proactive and retroactive interference. Proactive...
609

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Alterations within and between intrinsic connectivity networks in cognitive interference resolution.

Eylem Ümmü1, Elif Kurt2, Ali Bayram2

  • 1Graduate School of Health Sciences, Istanbul University, Istanbul 34126, Türkiye; Department of Neuroscience, Aziz Sancar Institute of Experimental Medicine, Istanbul University, Istanbul 34093, Türkiye; Hulusi Behçet Life Sciences Research Laboratory, Neuroimaging Unit, Istanbul University, Istanbul 34093, Türkiye.

International Journal of Psychophysiology : Official Journal of the International Organization of Psychophysiology
|April 30, 2025
PubMed
Summary

Cognitive interference resolution involves brain networks reconfiguring to maintain focus. The dorsal attention and cognitive control networks interact with visual and cerebellum networks, not each other, to manage distractions.

Keywords:
Cognitive interference resolutionDynamic functional network connectivityFunctional magnetic resonance imagingIndependent component analysisIntrinsic connectivity networksMulti-source interference task

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Brain Imaging

Background:

  • Cognitive interference resolution (CIR) is crucial for goal-directed behavior.
  • Previous studies primarily used localized activation analyses, limiting understanding of network dynamics.
  • A diverse methodological approach is needed to explore network-level CIR mechanisms.

Purpose of the Study:

  • To investigate task-modulated intrinsic connectivity networks (ICNs) during CIR.
  • To analyze dynamic interactions between ICN subnetworks.
  • To provide a granular understanding of brain network reorganization during cognitive interference.

Main Methods:

  • fMRI data from 27 healthy adults performing the Multi-Source Interference Task (MSIT).
  • High-order group independent component analysis (ICA) for ICN subcomponent extraction.
  • Task-modulated component identification and dynamic functional connectivity analysis.

Main Results:

  • Dorsal attention network (DAN) and cognitive control network (CCN) showed increased activation and connectivity.
  • Default mode network (DMN) and limbic network exhibited decreased activation and connectivity.
  • Visual and cerebellum networks acted as intermediaries, connecting DAN and CCN, which did not directly interact.

Conclusions:

  • The study reveals dynamic network interactions underlying cognitive interference resolution.
  • ICN reconfiguration, including functional segregation, supports flexible cognitive control.
  • Findings offer novel insights into the brain's adaptive strategies for managing distractions.