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Related Concept Videos

Cognitivism01:17

Cognitivism

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Cognitive psychology emerged as a significant field in the mid-20th century. It focused on understanding humans' internal mental processes. This approach emphasizes how people perceive, remember, think, and solve problems—elements critical to human cognition.
Previously dominated by behaviorism, which prioritized observable behaviors and largely ignored mental processes, psychology transformed in the 1950s. Cognitive psychologists argue that understanding how we think and process...
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A revisionist approach to Jean Piaget's theory of cognitive development has brought new insights that challenge and reinterpret his established ideas. Piaget proposed that the formal operational stage, emerging in adolescence, represents the culmination of cognitive maturity. During this stage, individuals are said to develop abstract thinking, engage in systematic problem-solving, and show a form of egocentrism, believing others are as preoccupied with their behavior as they are...
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Cognitive Development During Adolescence01:18

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During adolescence, individuals experience significant cognitive development that enhances their understanding of others' emotions and thoughts, known as cognitive empathy. This period is marked by an increased ability to adapt to others' perspectives and a more nuanced understanding of others' mental states, a skill that is foundational for social problem-solving and conflict avoidance. The development of cognitive empathy relies heavily on the theory of mind — the...
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Information Processing Approach01:30

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The information-processing theory of cognitive development centers on fundamental mental processes, including attention, memory, and problem-solving skills. Researchers in this field examine how cognitive abilities, such as working memory, evolve and influence children's overall development. Studies indicate that children with stronger working memory tend to excel in reading comprehension, math, and problem-solving compared to peers with less efficient memory skills. Low working memory is...
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Piaget's Theory of Cognitive Development from Childhood into Adulthood

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Jean Piaget's theory of cognitive development emphasizes the role of thinking in a child's learning process, suggesting that children are naturally curious about their environment. His approach to development is discontinuous, proposing that cognitive abilities progress through distinct stages, each with unique characteristics. Central to Piaget's theory is schemata—mental structures that allow individuals to understand and interpret the world.
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Cognitive Development During Adulthood01:30

Cognitive Development During Adulthood

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Cognitive development continues throughout adulthood, undergoing significant shifts across early, middle, and late stages. Individual transition occurs from adolescent idealism to pragmatic and adaptable thinking in early adulthood. During this period, individuals learn to integrate personal beliefs with the recognition that other perspectives are equally valid. Exposure to the complexities of modern society, diverse experiences, and higher education contribute to this adaptive thought process,...
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Updated: May 21, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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Learning Latent Profiles via Cognitive Growth Charting in Psychosis: Design and Rationale for the PRECOGNITION

Andre F Marquand1, Barbora Rehák Bučková1, Giulia Cattaranusi2

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Summary

The PRECOGNITION project introduces "cognitive growth charts" for psychosis, enabling personalized tracking and prediction of cognitive function. This approach aims to improve early detection and intervention for individuals with psychosis.

Keywords:
cognitiondatafunctional outcomesharmonizationnormative modelspsychosis

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Computational Biology

Background:

  • Cognitive impairments are a key feature of psychosis, impacting outcomes even before illness onset.
  • Current methods for assessing cognitive differences in psychosis have limited generalizability and fail to capture individual variability.
  • Early detection and stratification are crucial for timely intervention in psychosis.

Purpose of the Study:

  • To address challenges in characterizing and predicting cognitive impairments in psychosis.
  • To develop novel methods for individual-level cognitive assessment and tracking in psychosis.
  • To improve the generalizability and precision of cognitive assessments across diverse psychosis populations.

Main Methods:

  • Translating normative modeling from brain imaging to psychosis data to create "cognitive growth charts".
  • Developing machine learning models for harmonizing and stratifying psychosis cohorts.
  • Leveraging existing datasets and novel analytical methods without generating primary data.

Main Results:

  • Creation of "cognitive growth charts" for longitudinal tracking and individual prediction in psychosis.
  • Development of machine learning models for cohort harmonization and stratification.
  • Generation of integrated, next-generation norms with broad sociodemographic and linguistic coverage.

Conclusions:

  • Enabling precision stratification of psychosis cohorts for targeted interventions.
  • Providing accurate predictions for a wide range of functional outcomes in psychosis.
  • Ensuring the study is guided by lived experience experts for clinical relevance.