Explanipedia

Identification of a Diagnosis-Selective Neurobiological Substrate for Bipolar Disorder, Major Depressive Disorder, and Schizophrenia: A Meta-Analysis of 57,717 Subjects Open

Donato Liloia, Paola Rocca, Claudio Brasso, Masaru Tanaka, Jordi Manuello , et al. · 2025

Neuroimaging studies have consistently revealed neuroanatomical abnormalities in individuals with bipolar disorder, major depressive disorder, and schizophrenia. However, it remains unknown whether and to what extent disorder-selective gra…

Reevaluating Specificity in Neuroimaging: Implications for the Salience Network and Methodological Rigor Open

Tommaso Costa, Franco Cauda · 2025

The accurate assessment of neuroimaging specificity is critical for advancing our understanding of brain disorders. Current methodologies often rely on frequentist approaches and limited cross-pathology comparisons, leading to potential ov…

Evaluating the robustness of DTI-ALPS in clinical context: a meta-analytic parallel on Alzheimer’s and Parkinson’s diseases Open

Tommaso Costa, Jordi Manuello, Enrico Premi, Irene Mattioli, L. Lasagna , et al. · 2024

Local functional connectivity abnormalities in mild cognitive impairment and Alzheimer's disease: A meta-analytic investigation using minimum Bayes factor activation likelihood estimation Open

Tommaso Costa, Enrico Premi, Barbara Borroni, Jordi Manuello, Franco Cauda , et al. · 2024

Functional magnetic resonance imaging research employing regional homogeneity (ReHo) analysis has uncovered aberrant local brain connectivity in individuals with mild cognitive impairment (MCI) and Alzheimer's disease (AD) in comparison wi…

Rorschach and resting state-fMRI: Personality Assessment and unique associations with resting-state brain networks activity Open

Stefania Cristofanelli, Enrico Vitolo, Alessandro Zennaro, Franco Cauda, Tommaso Costa , et al. · 2024

Background The Rorschach test is one of the most popular tests used in clinical settings for psychopathology and personality assessment; however, there is still little evidence regarding the functional correlates of test responses. Functio…

Disentangling the role of gray matter volume and concentration in autism spectrum disorder: A meta-analytic investigation of 25 years of voxel-based morphometry research Open

Donato Liloia, Denisa Adina Zamfira, Masaru Tanaka, Jordi Manuello, Annachiara Crocetta , et al. · 2024

Despite over two decades of neuroimaging research, a unanimous definition of the pattern of structural variation associated with autism spectrum disorder (ASD) has yet to be found. One potential impeding issue could be the sometimes ambigu…

Activation Likelihood Estimation Neuroimaging Meta-Analysis: a Powerful Tool for Emotion Research Open

Tommaso Costa, M. Ferraro, Jordi Manuello, Alessia Camasio, Andrea Nani , et al. · 2024

Over the past two decades, functional magnetic resonance imaging (fMRI) has become the primary tool for exploring neural correlates of emotion. To enhance the reliability of results in understanding the complex nature of emotional experien…

Building diagnostic neuroimaging biomarkers for psychiatric disorders using reverse inference approaches: A viable route? Open

Donato Liloia, Tommaso Costa, Franco Cauda, Jordi Manuello · 2024

The advent of structural magnetic resonance imaging (sMRI) at the end of the 20th century opened the way toward a deeper understanding of the neurophysiology of psychiatric disorders, substantiating regional structural abnormalities underl…

The Functional Neuroimaging of Autobiographical Memory for Happy Events: A Coordinate-Based Meta-Analysis Open

Giulia Testa, Igor Sotgiu, Maria Luisa Rusconi, Franco Cauda, Tommaso Costa · 2024

Neuroimaging studies using autobiographical recall methods investigated the neural correlates of happy autobiographical memories (AMs). The scope of the present activation likelihood estimation (ALE) meta-analysis was to quantitatively ana…

A Minimum Bayes Factor Based Threshold for Activation Likelihood Estimation Open

Tommaso Costa, Donato Liloia, Franco Cauda, Peter T. Fox, Francesca Dalla Mutta , et al. · 2023

Activation likelihood estimation (ALE) is among the most used algorithms to perform neuroimaging meta-analysis. Since its first implementation, several thresholding procedures had been proposed, all referred to the frequentist framework, r…

Editorial board ‐ TOC Open

Simon B. Eickhoff, Gary F. Egan, Sophia Frangou, Jack L. Lancaster, Shen‐Hsing Annabel Chen , et al. · 2023

COVER ILLUSTRATIONGraph theory analysis reveals enhanced strength centrality in the left amygdala of vocalists and pianists, which indicates a high degree of interconnectivity between the left amygdala and other brain regions.This suggests…

Atypical local brain connectivity in pediatric autism spectrum disorder? A coordinate-based meta-analysis of regional homogeneity studies Open

Donato Liloia, Jordi Manuello, Tommaso Costa, Roberto Keller, Andrea Nani , et al. · 2023

Co-alteration Network Architecture of Major Depressive Disorder: A Multi-modal Neuroimaging Assessment of Large-scale Disease Effects Open

Jodie Gray, Jordi Manuello, Aaron Alexander‐Bloch, Cassandra D. Leonardo, Crystal Franklin , et al. · 2022

Major depressive disorder (MDD) exhibits diverse symptomology and neuroimaging studies report widespread disruption of key brain areas. Numerous theories underpinning the network degeneration hypothesis (NDH) posit that neuropsychiatric di…

Linking neuroanatomical abnormalities in autism spectrum disorder with gene expression of candidate ASD genes: A meta-analytic and network-oriented approach Open

Alessia Camasio, Elisa Panzeri, Lorenzo Mancuso, Tommaso Costa, Jordi Manuello , et al. · 2022

Background Autism spectrum disorder (ASD) is a set of developmental conditions with widespread neuroanatomical abnormalities and a strong genetic basis. Although neuroimaging studies have indicated anatomical changes in grey matter (GM) mo…

Sex differences in brain homotopic co-activations: a meta-analytic study Open

Chiara Bonelli, Lorenzo Mancuso, Jordi Manuello, Donato Liloia, Tommaso Costa , et al. · 2022

Seeking Overlapping Neuroanatomical Alterations between Dyslexia and Attention-Deficit/Hyperactivity Disorder: A Meta-Analytic Replication Study Open

Donato Liloia, Annachiara Crocetta, Franco Cauda, Sergio Duca, Tommaso Costa , et al. · 2022

The present work is a replication article based on the paper “Are there shared neural correlates between dyslexia and ADHD? A meta-analysis of voxel-based morphometry studies” by McGrath and Stoodley (2019). In the original research, the a…

The Reflected Face as a Mask of the Self: An Appraisal of the Psychological and Neuroscientific Research About Self-face Recognition Open

Gabriele Volpara, Andrea Nani, Franco Cauda · 2022

This study reviews research about the recognition of one’s own face and discusses scientific techniques (especially the instrument of the mirror) to investigate differences in brain activation when looking at familiar faces compared to unf…

A minimum Bayes Factor based threshold for activation likelihood estimation Open

Tommaso Costa, Donato Liloia, Franco Cauda, Peter T. Fox, Francesca Dalla Mutta , et al. · 2022

Activation likelihood estimation (ALE) is among the most used algorithms to perform neuroimaging meta-analysis. Since its first implementation, several thresholding procedures had been proposed, all referred to the frequentist framework, r…

Influence of Gestational Diabetes and Pregestational Maternal BMI on the Brain of Six-Year-Old Offspring Open

Jordi Manuello, Juan Verdejo‐Román, Francisco Torres Espínola, Mireia Escudero-Marín, Andrés Catena , et al. · 2022

A co-alteration parceling of the cingulate cortex Open

Jordi Manuello, Lorenzo Mancuso, Donato Liloia, Franco Cauda, Sergio Duca , et al. · 2022

The cingulate cortex is known to be a complex structure, involved in several cognitive and emotional functions, as well as being altered by a variety of brain disorders. This heterogeneity is reflected in the multiple parceling models prop…

Tasks activating the default mode network map multiple functional systems Open

Lorenzo Mancuso, Sara Cavuoti-Cabanillas, Donato Liloia, Jordi Manuello, Giulia Buzi , et al. · 2022

Recent developments in network neuroscience suggest reconsidering what we thought we knew about the default mode network (DMN). Although this network has always been seen as unitary and associated with the resting state, a new deconstructi…

An Automated Toolbox to Predict Single Subject Atrophy in Presymptomatic Granulin Mutation Carriers Open

Enrico Premi, Tommaso Costa, Stefano Gazzina, Alberto Benussi, Franco Cauda , et al. · 2022

Background: Magnetic resonance imaging (MRI) measures may be used as outcome markers in frontotemporal dementia (FTD). Objectives: To predict MRI cortical thickness (CT) at follow-up at the single subject level, using brain MRI acquired at…

Disentangling predictive processing in the brain: a meta-analytic study in favour of a predictive network Open

Linda Ficco, Lorenzo Mancuso, Jordi Manuello, Alessia Teneggi, Donato Liloia , et al. · 2021

A bayesian reanalysis of the phase III aducanumab (ADU) trial Open

Tommaso Costa, Franco Cauda · 2021

In this article we have conducted a reanalysis of the phase III aducanumab (ADU) summary statistics announced by Biogen, in particular the result of the Clinical Dementia Rating-Sum of Boxes (CDR-SB). The results showed that the evidence o…

Interhemispheric co-alteration of brain homotopic regions Open

Franco Cauda, Andrea Nani, Donato Liloia, Gabriele Gelmini, Lorenzo Mancuso , et al. · 2021

BACON: A tool for reverse inference in brain activation and alteration Open

Tommaso Costa, Jordi Manuello, Mario Ferraro, Donato Liloia, Andrea Nani , et al. · 2021

Over the past decades, powerful MRI‐based methods have been developed, which yield both voxel‐based maps of the brain activity and anatomical variation related to different conditions. With regard to functional or structural MRI data, forw…

On the Role of Vascularization in Pathoconnectomics Open

Jordi Manuello, Alessandro Vercelli, Tommaso Costa, Franco Cauda · 2021

In recent years, pathoconnectomics emerged as an interesting framework for the investigation and better comprehension of disorders affecting the brain. Research in this field has used so far structural, functional, metabolic and genetic da…

A meta-analysis of areas of structural variation in grey matter in individuals with Autism Spectrum Disorder (ASD) in relation to gene expression of candidate ASD genes Open

Elisa Panzeri, Alessia Camasio, Lorenzo Mancuso, Donato Liloia, Jordi Manuello , et al. · 2021

Autism Spectrum Disorder (ASD) is a set of developmental pathologies with a strong genetic basis and high heritability. Although neuroimaging studies have indicated anatomical changes in grey matter (GM) morphometry, their associations wit…

Gray matter reduction in high-risk subjects, recently diagnosed and chronic patients with schizophrenia: A revised coordinate-based meta-analysis Open

Claudio Brasso, Donato Liloia, Franco Cauda, Lorenzo Mancuso, Andrea Nani , et al. · 2021

Introduction Characterizing neuroanatomical markers of different stages of schizophrenia (SZ) to assess of how the disorder develops is extremely important for the clinical practice. It still remains uncertain how abnormalities are formed …

Default Mode Network spatial configuration varies across task domains Open

Lorenzo Mancuso, Sara Cavuoti-Cabanillas, Donato Liloia, Jordi Manuello, Giulia Buzi , et al. · 2021

Recent developments in network neuroscience suggest reconsidering what we thought we knew about the Default Mode Network (DMN). Although this network has always been seen as unitary and associated with the resting state, a new deconstructi…

Franco Cauda YOU? Author Swipe