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Related Concept Videos

Decision Making01:20

Decision Making

380
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.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
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Decision Making: Traditional Method01:14

Decision Making: Traditional Method

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The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
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Updated: Oct 27, 2025

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Alpha and broadband high-frequency activity track task dynamics and predict performance in controlled

Saskia Haegens1,2,3, Yagna J Pathak1, Elliot H Smith1

  • 1Department of Neurological Surgery, Columbia University Medical Center, New York, NY, USA.

Psychophysiology
|July 21, 2021
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Researchers used intracranial recordings to track brain activity during decision-making. Alpha rhythm and broadband signals together reveal how different brain areas engage and disengage, predicting reaction times with high precision.

Keywords:
decision-makingiEEGoscillation/time frequency analyses

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Electrophysiology

Background:

  • Intracranial recordings offer superior temporal and spatial resolution for studying brain activity compared to non-invasive methods.
  • Broadband high-frequency activity (70-150 Hz) is linked to neuronal excitation, while alpha rhythm (8-14 Hz) is implicated in regulating neuronal population engagement.

Purpose of the Study:

  • To investigate the utility of intracranial broadband and alpha signals for single-trial tracking of task-engaged brain areas during decision-making.
  • To characterize the spatio-temporal dynamics of cortical activity during a decision-making task.

Main Methods:

  • Intracranial recordings (grid and depth electrodes) were obtained from epilepsy patients performing the Multi-Source Interference Task.
  • Analysis focused on broadband high-frequency activity and alpha rhythm power across frontotemporal, parietal, and prefrontal cortical regions.

Main Results:

  • A negative correlation between alpha power and broadband activity was observed, supporting alpha's gating role in various cortical regions.
  • Combined alpha and broadband signals effectively delineated task-engaged areas, with alpha decrease indicating engagement and broadband increase tracking specific task events.
  • Specific neuronal populations were identified that responded to stimulus presentation, decision reporting, or time-on-task, with the latter predicting reaction times.

Conclusions:

  • Alpha and broadband signals provide a powerful tool for tracking neuronal population dynamics across the cortex with high temporal and spatial detail.
  • These signals enable a fine-grained understanding of the spatio-temporal patterns underlying decision-making processes.
  • The findings highlight the potential of using these electrophysiological markers to study cognitive functions in real-time.