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Related Concept Videos

Decision Making01:20

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Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
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Related Experiment Video

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Canceled connections: Lesion-derived network mapping helps explain differences in performance on a complex

Matthew J Sutterer1, Joel Bruss1, Aaron D Boes2

  • 1Department of Neurology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.

Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
|March 20, 2016
PubMed
Summary
This summary is machine-generated.

Brain damage outside typical decision-making areas can impair behavior. Novel lesion-derived network mapping reveals connectivity patterns in somatosensory, motor, and insula cortices linked to impaired decision-making.

Keywords:
Decision-makingFunctional connectivityLesion-derived network mapping

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Neurology

Background:

  • Adaptive decision-making is linked to limbic and prefrontal brain networks.
  • Patients with damage outside these areas can exhibit impaired decision-making, often attributed to general variability.
  • Specific neuroanatomical underpinnings for these heterogeneous behavioral deficits remain unclear.

Purpose of the Study:

  • To investigate systematic connectivity patterns associated with decision-making performance in patients with focal brain damage outside classical regions.
  • To apply lesion-derived network mapping to identify brain-behavior relationships in heterogeneous neurological cases.
  • To explore the role of remote network effects in decision-making deficits.

Main Methods:

  • Utilized lesion-derived network mapping, inferring connectivity from healthy subject resting-state functional connectivity (RSFC) data.
  • Categorized patients with focal brain damage into "impaired" and "unimpaired" groups based on Iowa Gambling Task (IGT) performance.
  • Compared lesion-derived network maps between impaired and unimpaired patient groups.

Main Results:

  • Lesion-derived network maps from impaired patients showed greater overlap in somatosensory, motor, and insula cortices compared to unimpaired patients.
  • This suggests a distributed network dysfunction beyond the primary lesion site.
  • The findings highlight the importance of remote network effects.

Conclusions:

  • Focal brain damage in non-classical areas can lead to decision-making impairments through disruption of distributed brain networks.
  • Lesion-derived network mapping offers a novel approach to understand heterogeneous neurological phenotypes and brain-behavior relationships.
  • This method has potential applications for understanding various cognitive functions and neurological syndromes.