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Related Concept Videos

Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).

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Related Experiment Video

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Brain Imaging Investigation of the Neural Correlates of Emotion Regulation
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CLIMATE BRAIN - Questionnaires, Tasks and the Neuroimaging Dataset.

Dominika Zaremba1, Bartosz Kossowski2, Marek Wypych2

  • 1Laboratory of Brain Imaging, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland. d.zaremba@nencki.edu.pl.

Scientific Data
|May 1, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces the CLIMATE BRAIN dataset, offering valuable neuroimaging and behavioral data to understand climate emotions and pro-environmental actions. It aims to advance neuroscience research on climate change impacts.

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Area of Science:

  • Neuroscience
  • Environmental Psychology
  • Climate Change Research

Background:

  • Climate change poses significant threats to global populations and ecosystems.
  • Neuroscience research on climate change impacts is an emerging field with limited validated resources.
  • Existing research lacks standardized questionnaires, stimuli, and functional Magnetic Resonance Imaging (fMRI) tasks.

Purpose of the Study:

  • To introduce the CLIMATE BRAIN dataset, a novel multimodal resource for studying climate emotions and pro-environmental behavior.
  • To provide a publicly available dataset for investigating human brain responses to climate change stimuli.
  • To facilitate research on the psychological and neural underpinnings of climate change concern and action.

Main Methods:

  • Collected multimodal data from 160 young, healthy Polish individuals with moderate climate change concern.
  • Utilized questionnaire measures, including the Inventory of Climate Emotions (ICE).
  • Employed fMRI tasks involving emotional climate change stories (ECCS) and a climate action-taking task (CET).

Main Results:

  • The CLIMATE BRAIN dataset comprises questionnaire, behavioral, and neuroimaging data.
  • Participants responded to anger and hope-evoking climate change narratives and made pro-environmental decisions.
  • Technical validation confirmed the quality and effectiveness of the neuroimaging tasks.

Conclusions:

  • The CLIMATE BRAIN dataset is a unique, publicly accessible resource for climate change neuroscience.
  • This dataset will advance the understanding of emotional and cognitive responses to climate change.
  • It provides a foundation for future research into climate change adaptation and mitigation behaviors.