A mathematical framework for modelling the dynamic nature of ADHD symptoms

The proposed mathematical models offer a novel, quantitative framework for understanding and representing the dynamic nature of ADHD symptoms. Grounded in neuropsychological theory, these interpretable models provide a potential advance over static descriptions and may facilitate improved clinical assessment, personalized treatment strategies, and targeted research into the mechanisms underlying ADHD. Further empirical validation is warranted to establish their clinical utility. Further empirical validation is warranted to establish their clinical utility.

Authors

Institutions

Publication Details

Journal
Frontiers in Psychiatry
Published
2026-01-09
DOI
https://doi.org/10.3389/fpsyt.2025.1671764
Primary Topic
Attention Deficit Hyperactivity Disorder
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A mathematical framework for modelling the dynamic nature of ADHD symptoms

Athanasios Kehagias, Grigoris Antoniou, Marios Adamou
Frontiers in Psychiatry
Attention Deficit Hyperactivity Disorder
article

A mathematical framework for modelling the dynamic nature of ADHD symptoms

Athanasios Kehagias, Grigoris Antoniou, Marios Adamou
article en

Abstract

The proposed mathematical models offer a novel, quantitative framework for understanding and representing the dynamic nature of ADHD symptoms. Grounded in neuropsychological theory, these interpretable models provide a potential advance over static descriptions and may facilitate improved clinical assessment, personalized treatment strategies, and targeted research into the mechanisms underlying ADHD. Further empirical validation is warranted to establish their clinical utility. Further empirical validation is warranted to establish their clinical utility.

Frontiers in PsychiatryVol. 16
University of Huddersfield (GB), Aristotle University of Thessaloniki (GR), Leeds Beckett University (GB)
Openalex Percentile: Top 92%
Attention Deficit Hyperactivity Disorder
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.