What do neuroanatomical networks reveal about the ontology of human cognitive abilities?

iScience

Department of Physics, Centre for Nonlinear Studies and Beijing-Hong Kong-Singapore Joint Centre for Nonlinear and Complex Systems (Hong Kong), Institute of Computational and Theoretical Studies, Hong Kong Baptist University, Kowloon Tong, Hong Kong.

Published: August 2022

Over the last decades, cognitive psychology has come to a fair consensus about the human intelligence ontological structure. However, it remains an open question whether anatomical properties of the brain support the same ontology. The present study explored the ontological structure derived from neuroanatomical networks associated with performance on 15 cognitive tasks indicating various abilities. Results suggest that the brain-derived (neurometric) ontology partly agrees with the cognitive performance-derived (psychometric) ontology complemented with interpretable differences. Moreover, the cortical areas associated with different inferred abilities are segregated, with little or no overlap. Nevertheless, these spatially segregated cortical areas are integrated via denser white matter structural connections as compared with the general brain connectome. The integration of ability-related cortical networks constitutes a neural counterpart to the psychometric construct of general intelligence, while the consistency and difference between psychometric and neurometric ontologies represent crucial pieces of knowledge for theory building, clinical diagnostics, and treatment.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9293763PMC
http://dx.doi.org/10.1016/j.isci.2022.104706DOI Listing

Publication Analysis

Top Keywords

neuroanatomical networks
8
ontological structure
8
cortical areas
8
networks reveal
4
ontology
4
reveal ontology
4
ontology human
4
cognitive
4
human cognitive
4
cognitive abilities?
4

Similar Publications

Neuroanatomical sex differences estimated in neuroimaging studies are confounded by total intracranial volume (TIV) as a major biological factor. Employing a matching approach widely used for causal modeling, we disentangled the effect of TIV from sex to study sex-differentiated brain aging trajectories, their relation to functional networks and cytoarchitectonic classes, brain allometry, and cognition. Using data from the UK Biobank, we created subsamples that removed, maintained, or exaggerated the TIV differences in the original sample.

View Article and Find Full Text PDF

Schizophrenia is a serious mental disorder with a complex neurobiological background and a well-defined psychopathological picture. Despite many efforts, a definitive disease biomarker has still not been identified. One of the promising candidates for a disease-related biomarker could involve retinal morphology , given that the retina is a part of the central nervous system that is known to be affected in schizophrenia and related to multiple illness features.

View Article and Find Full Text PDF

Neuroanatomical variation in individuals with bipolar disorder (BD) has been previously described in observational studies. However, the causal dynamics of these relationships remain unexplored. We performed Mendelian Randomization of 297 structural and functional neuroimaging phenotypes from the UK BioBank and BD using genome-wide association study summary statistics.

View Article and Find Full Text PDF

Decomposing the Brain in Autism: Linking Behavioral Domains to Neuroanatomical Variation and Genomic Underpinnings.

Biol Psychiatry Cogn Neurosci Neuroimaging

December 2024

Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, 60528 Frankfurt am Main, Germany; Brain Imaging Center, Goethe-University, 60528 Frankfurt am Main, Germany; Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, SE5 8AF, UK.

Article Synopsis
  • Autism presents unique neurodevelopmental differences that make it challenging to understand brain anatomy at a group level.
  • The study analyzed neuroanatomical variations in social communication, repetitive behaviors, and sensory processing among a diverse group of autistic and non-autistic participants.
  • Results indicated that specific brain features are linked to autism-related behaviors and are connected to genes involved in brain development and synaptic function, highlighting the biological basis of individual differences within neurodiversity.
View Article and Find Full Text PDF

Background And Objectives: The term rapid progressive dementia (RPD) may be applied to patients who develop dementia within 1 year or complete incapacitation within 2 years of the first symptom of impairment. However, in select cases, cognitive impairment may emerge abruptly, with symptoms evolving across hours or days. We sought to determine the frequency, etiologies, and factors that associated with ultra-RPD.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!