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Related Concept Videos

Clinical Trials01:16

Clinical Trials

Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
Clinical Trials: Overview01:11

Clinical Trials: Overview

Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
Longitudinal Studies01:26

Longitudinal Studies

Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
Therapeutic Communication01:30

Therapeutic Communication

Communication is a lifelong learning process. Through therapeutic communication, nurses can collect relevant assessment data, provide education and counseling, and interact during nursing interventions. Sending and receiving messages occur through verbal and nonverbal communication techniques and can happen separately or simultaneously.
Verbal communication depends on language or a prescribed way of using words so that people can share information effectively. The critical aspects of verbal...
Observational Studies01:11

Observational Studies

Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One example of...
Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...

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Related Experiment Video

Updated: Jul 7, 2026

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
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Changes in conversational pattern as a clinical trial outcome: a proof-of-concept study using the I-CONECT data.

Liu Chen1, Chao-Yi Wu1, Hiroko H Dodge1

  • 1Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts, United States.

Innovation in Aging
|July 6, 2026
PubMed
Summary

Natural language processing can detect cognitive decline. A 6-month conversational intervention significantly reduced semantic noise in individuals with mild cognitive impairment, bringing their scores closer to those with normal cognition.

Keywords:
Conversational engagementDigital linguistic biomarkerMild cognitive impairmentNatural language processingSpontaneous conversation

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Published on: July 1, 2014

Area of Science:

  • Natural Language Processing
  • Cognitive Science
  • Computational Linguistics

Background:

  • Natural language processing (NLP) offers novel linguistic measures for detecting subtle cognitive decline.
  • Current NLP analyses often rely on constrained tasks like picture descriptions, limiting real-world applicability.
  • Semantic noise (SN) presents a novel approach to quantify conversational patterns and monitor cognitive changes.

Purpose of the Study:

  • To investigate the efficacy of a behavioral intervention in altering semantic noise (SN) in individuals with mild cognitive impairment (MCI).
  • To assess the sensitivity of SN as a linguistic measure for tracking cognitive changes over time.
  • To explore the potential of using spontaneous conversation analysis for cognitive monitoring.

Main Methods:

  • Analysis of text from semi-structured conversations within the I-CONECT project.
  • Participants included cognitively normal (NC) and mild cognitive impairment (MCI) individuals in an intervention group.
  • Mean semantic noise (MSN) was measured at baseline (week 2) and 6 months (week 24) of a 6-month conversational intervention (4 sessions/week).

Main Results:

  • Baseline MSN was significantly higher in the MCI group (2.09) compared to the NC group (1.87) (p=.024).
  • After 6 months, MSN in the MCI group significantly decreased (p=.009), approaching levels observed in the NC group (1.95).
  • No significant change in MSN was observed in the NC group (p=.426), and post-intervention MCI and NC groups did not differ significantly (p=.280).

Conclusions:

  • A 6-month conversational intervention normalized semantic noise (SN) in individuals with mild cognitive impairment (MCI), making their conversational patterns resemble those of cognitively normal (NC) individuals.
  • Linguistic measures derived from naturalistic conversations are sensitive to cognitive changes.
  • Further research into extracting linguistic measurements from spontaneous conversations can aid in daily cognitive monitoring.