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Attention and other constructs: evolution or revolution?

Leonard F Koziol1, Lauren A Barker, Laura Jansons

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This summary is machine-generated.

This review re-evaluates attention, moving beyond traditional views. It emphasizes brain network connectivity over isolated cognitive domains for better understanding attention-deficit hyperactivity disorder and neuropsychological assessments.

Keywords:
ADHDassessmentattentionconnectivity patternslarge-scale brain networks

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Clinical Psychology

Background:

  • Traditional conceptualizations of attention often rely on isolated cognitive domains.
  • The diagnosis of attention-deficit hyperactivity disorder (ADHD) presents challenges for traditional models.
  • Large-scale brain network models offer a more integrated view of neuroanatomy.

Purpose of the Study:

  • To review the construct of attention from a non-traditional, network-based perspective.
  • To explore the implications of brain network models for understanding attention and ADHD.
  • To consider the role of lateralized hemispheric brain organization in attention.

Main Methods:

  • Review of existing literature on attention, ADHD, and large-scale brain network models.
  • Analysis of functional neuroanatomy and its relation to cognitive processes.
  • Examination of implications for neuropsychological assessment and clinical practice.

Main Results:

  • Cortical systems are multifunctional and exhibit specialization but not isolation of cognitive processes.
  • Attention is not supported by a single, specific cortical region or network.
  • Brain network connectivity patterns are crucial for understanding attention.

Conclusions:

  • Future clinical practice should prioritize connectivity patterns over isolated cognitive constructs for attention.
  • This network-centric approach has significant implications for neuropsychological assessment and intervention strategies.
  • A paradigm shift is needed from domain-specific to network-based understanding of cognition.