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Pigoni A, Delvecchio G, Turtulici N, Madonna D, Pietrini P, Cecchetti L, Brambilla P. Machine learning and the prediction of suicide in psychiatric populations: a systematic review. Transl Psychiatry 2024; 14:140. [PMID: 38461283 PMCID: PMC10925059 DOI: 10.1038/s41398-024-02852-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 02/22/2024] [Accepted: 02/22/2024] [Indexed: 03/11/2024] Open
Abstract
Machine learning (ML) has emerged as a promising tool to enhance suicidal prediction. However, as many large-sample studies mixed psychiatric and non-psychiatric populations, a formal psychiatric diagnosis emerged as a strong predictor of suicidal risk, overshadowing more subtle risk factors specific to distinct populations. To overcome this limitation, we conducted a systematic review of ML studies evaluating suicidal behaviors exclusively in psychiatric clinical populations. A systematic literature search was performed from inception through November 17, 2022 on PubMed, EMBASE, and Scopus following the PRISMA guidelines. Original research using ML techniques to assess the risk of suicide or predict suicide attempts in the psychiatric population were included. An assessment for bias risk was performed using the transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD) guidelines. About 1032 studies were retrieved, and 81 satisfied the inclusion criteria and were included for qualitative synthesis. Clinical and demographic features were the most frequently employed and random forest, support vector machine, and convolutional neural network performed better in terms of accuracy than other algorithms when directly compared. Despite heterogeneity in procedures, most studies reported an accuracy of 70% or greater based on features such as previous attempts, severity of the disorder, and pharmacological treatments. Although the evidence reported is promising, ML algorithms for suicidal prediction still present limitations, including the lack of neurobiological and imaging data and the lack of external validation samples. Overcoming these issues may lead to the development of models to adopt in clinical practice. Further research is warranted to boost a field that holds the potential to critically impact suicide mortality.
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Affiliation(s)
- Alessandro Pigoni
- Social and Affective Neuroscience Group, MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Giuseppe Delvecchio
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Nunzio Turtulici
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Domenico Madonna
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Pietro Pietrini
- MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Luca Cecchetti
- Social and Affective Neuroscience Group, MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy.
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.
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2
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Lettieri G, Handjaras G, Cappello EM, Setti F, Bottari D, Bruno V, Diano M, Leo A, Tinti C, Garbarini F, Pietrini P, Ricciardi E, Cecchetti L. Dissecting abstract, modality-specific and experience-dependent coding of affect in the human brain. Sci Adv 2024; 10:eadk6840. [PMID: 38457501 PMCID: PMC10923499 DOI: 10.1126/sciadv.adk6840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 02/06/2024] [Indexed: 03/10/2024]
Abstract
Emotion and perception are tightly intertwined, as affective experiences often arise from the appraisal of sensory information. Nonetheless, whether the brain encodes emotional instances using a sensory-specific code or in a more abstract manner is unclear. Here, we answer this question by measuring the association between emotion ratings collected during a unisensory or multisensory presentation of a full-length movie and brain activity recorded in typically developed, congenitally blind and congenitally deaf participants. Emotional instances are encoded in a vast network encompassing sensory, prefrontal, and temporal cortices. Within this network, the ventromedial prefrontal cortex stores a categorical representation of emotion independent of modality and previous sensory experience, and the posterior superior temporal cortex maps the valence dimension using an abstract code. Sensory experience more than modality affects how the brain organizes emotional information outside supramodal regions, suggesting the existence of a scaffold for the representation of emotional states where sensory inputs during development shape its functioning.
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Affiliation(s)
- Giada Lettieri
- Crossmodal Perception and Plasticity Laboratory, Institute of Research in Psychology & Institute of Neuroscience, Université Catholique de Louvain, Louvain-la-Neuve, Belgium
- Social and Affective Neuroscience Group, MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Giacomo Handjaras
- Social and Affective Neuroscience Group, MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Elisa M. Cappello
- Social and Affective Neuroscience Group, MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Francesca Setti
- Sensorimotor Experiences and Mental Representations Group, MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Davide Bottari
- Sensorimotor Experiences and Mental Representations Group, MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
- Sensory Experience Dependent Group, MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | | | - Matteo Diano
- Department of Psychology, University of Turin, Turin, Italy
| | - Andrea Leo
- Department of of Translational Research and Advanced Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Carla Tinti
- Department of Psychology, University of Turin, Turin, Italy
| | | | - Pietro Pietrini
- Forensic Neuroscience and Psychiatry Group, MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Emiliano Ricciardi
- Sensorimotor Experiences and Mental Representations Group, MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
- Sensory Experience Dependent Group, MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Luca Cecchetti
- Social and Affective Neuroscience Group, MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
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Campana S, Cecchetti L, Venturi M, Buemi F, Foti C, Cerasa A, Vicario CM, Carboncini MC, Tomaiuolo F. Evolution of Severe Closed Head Injury: Assessing Ventricular Volume and Behavioral Measures at 30 and 90 Days Post-Injury. J Clin Med 2024; 13:874. [PMID: 38337568 PMCID: PMC10856794 DOI: 10.3390/jcm13030874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 01/22/2024] [Accepted: 01/30/2024] [Indexed: 02/12/2024] Open
Abstract
Background: Assessing functional outcomes in Severe Closed Head Injury (SCHI) is complex due to brain parenchymal changes. This study examines the Ventricles to Intracranial Volume Ratio (VBR) as a metric for these changes and its correlation with behavioral scales. Methods: Thirty-one SCHI patients were included. VBR was derived from CT scans at 3, 30, and 90 days post-injury and compared with Levels of Cognitive Functioning (LCF), Disability Rating Scale (DRS), and Early Rehabilitation Barthel Index (ERBI) assessments at 30 and 90 days. Results: Ten patients were excluded post-decompressive craniectomy or ventriculoperitoneal shunt. Findings indicated a VBR decrease at 3 days, suggesting acute phase compression, followed by an increase from 30 to 90 days, indicative of post-acute brain atrophy. VBR correlated positively with the Marshall score in the initial 72 h, positioning it as an early indicator of subsequent brain atrophy. Nevertheless, in contrast to the Marshall score, VBR had stronger associations with DRS and ERBI at 90 days. Conclusions: VBR, alongside behavioral assessments, presents a robust framework for evaluating SCHI progression. It supports early functional outcome correlations informing therapeutic approaches. VBR's reliability underscores its utility in neurorehabilitation for ongoing SCHI assessment and aiding clinical decisions.
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Affiliation(s)
- Serena Campana
- Neurorehabilitation Unit, Auxilium Vitae Volterra, Via Borgo San Lazzero 5, 56048 Volterra, Italy;
| | - Luca Cecchetti
- Social and Affective Neuroscience (SANe) Group, MoMiLab, IMT School for Advanced Studies Lucca, 55100 Lucca, Italy
| | - Martina Venturi
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy;
| | - Francesco Buemi
- Department of Diagnostic and Interventional Radiology, Azienda Ospedaliera Papardo, 98158 Messina, Italy;
| | - Cristina Foti
- Department of Clinical and Experimental Medicine, University of Messina, 98122 Messina, Italy;
| | - Antonio Cerasa
- Institute for Biomedical Research and Innovation (IRIB), National Research Council of Italy, 98164 Messina, Italy;
- S. Anna Institute, 88900 Crotone, Italy
- Pharmacotechnology Documentation and Transfer Unit, Preclinical and Translational Pharmacology, Department of Pharmacy, Health Science and Nutrition, University of Calabria, 87036 Rende, Italy
| | - Carmelo Mario Vicario
- Department of Cognitive Sciences, Psychology, Education and Cultural Studies, University of Messina, 98125 Messina, Italy;
| | - Maria Chiara Carboncini
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy;
| | - Francesco Tomaiuolo
- Department of Clinical and Experimental Medicine, University of Messina, 98122 Messina, Italy;
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Lettieri G, Handjaras G, Bucci E, Pietrini P, Cecchetti L. How Male and Female Literary Authors Write About Affect Across Cultures and Over Historical Periods. Affect Sci 2023; 4:770-780. [PMID: 38156253 PMCID: PMC10751284 DOI: 10.1007/s42761-023-00219-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 08/09/2023] [Indexed: 12/30/2023]
Abstract
A wealth of literature suggests the existence of sex differences in how emotions are experienced, recognized, expressed, and regulated. However, to what extent these differences result from the put in place of stereotypes and social rules is still a matter of debate. Literature is an essential cultural institution, a transposition of the social life of people but also of their intimate affective experiences, which can serve to address questions of psychological relevance. Here, we created a large corpus of literary fiction enriched by authors' metadata to measure the extent to which culture influences how men and women write about emotion. Our results show that even though before the twenty-first century and across 116 countries women more than men have written about affect, starting from 2000, this difference has diminished substantially. Also, in the past, women's narratives were more positively laden and less arousing. While the difference in arousal is ubiquitous and still present nowadays, sex differences in valence vary as a function of culture and have dissolved in recent years. Altogether, these findings suggest that historic evolution is associated with men and women writing similarly about emotions and reveal a sizable impact of culture on the affective characteristics of the lexicon. Supplementary Information The online version contains supplementary material available at 10.1007/s42761-023-00219-9.
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Affiliation(s)
- Giada Lettieri
- Crossmodal Perception and Plasticity Laboratory, Institute of Research in Psychology & Institute of Neuroscience, Université Catholique de Louvain, Louvain-La-Neuve, Belgium
- Social and Affective Neuroscience Group, MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Giacomo Handjaras
- Social and Affective Neuroscience Group, MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Erika Bucci
- Social and Affective Neuroscience Group, MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Pietro Pietrini
- Molecular Mind Laboratory, MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Luca Cecchetti
- Social and Affective Neuroscience Group, MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
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5
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Mastrandrea R, Cecchetti L, Lettieri G, Handjaras G, Leo A, Papale P, Gili T, Martini N, Latta DD, Chiappino D, Pietrini P, Ricciardi E. Information load dynamically modulates functional brain connectivity during narrative listening. Sci Rep 2023; 13:8110. [PMID: 37208405 DOI: 10.1038/s41598-023-34998-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 05/11/2023] [Indexed: 05/21/2023] Open
Abstract
Narratives are paradigmatic examples of natural language, where nouns represent a proxy of information. Functional magnetic resonance imaging (fMRI) studies revealed the recruitment of temporal cortices during noun processing and the existence of a noun-specific network at rest. Yet, it is unclear whether, in narratives, changes in noun density influence the brain functional connectivity, so that the coupling between regions correlates with information load. We acquired fMRI activity in healthy individuals listening to a narrative with noun density changing over time and measured whole-network and node-specific degree and betweenness centrality. Network measures were correlated with information magnitude with a time-varying approach. Noun density correlated positively with the across-regions average number of connections and negatively with the average betweenness centrality, suggesting the pruning of peripheral connections as information decreased. Locally, the degree of the bilateral anterior superior temporal sulcus (aSTS) was positively associated with nouns. Importantly, aSTS connectivity cannot be explained by changes in other parts of speech (e.g., verbs) or syllable density. Our results indicate that the brain recalibrates its global connectivity as a function of the information conveyed by nouns in natural language. Also, using naturalistic stimulation and network metrics, we corroborate the role of aSTS in noun processing.
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Affiliation(s)
| | - Luca Cecchetti
- Social and Affective Neuroscience (SANe) Group, MoMiLab, IMT School for Advanced Studies, Lucca, Italy
| | - Giada Lettieri
- Social and Affective Neuroscience (SANe) Group, MoMiLab, IMT School for Advanced Studies, Lucca, Italy
- Crossmodal Perception and Plasticity Laboratory, Institute of Psychology, University of Louvain, Louvain-La-Neuve, Belgium
| | | | - Andrea Leo
- Department of Translational Research and Advanced Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Paolo Papale
- MoMiLab, IMT School for Advanced Studies, Lucca, Italy
- Department of Vision & Cognition, Netherlands Institute for Neuroscience (KNAW), 1105 BA, Amsterdam, The Netherlands
| | - Tommaso Gili
- NETWORKS, IMT School for Advanced Studies, Lucca, Italy
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6
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Setti F, Handjaras G, Bottari D, Leo A, Diano M, Bruno V, Tinti C, Cecchetti L, Garbarini F, Pietrini P, Ricciardi E. A modality-independent proto-organization of human multisensory areas. Nat Hum Behav 2023; 7:397-410. [PMID: 36646839 PMCID: PMC10038796 DOI: 10.1038/s41562-022-01507-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 12/05/2022] [Indexed: 01/18/2023]
Abstract
The processing of multisensory information is based upon the capacity of brain regions, such as the superior temporal cortex, to combine information across modalities. However, it is still unclear whether the representation of coherent auditory and visual events requires any prior audiovisual experience to develop and function. Here we measured brain synchronization during the presentation of an audiovisual, audio-only or video-only version of the same narrative in distinct groups of sensory-deprived (congenitally blind and deaf) and typically developed individuals. Intersubject correlation analysis revealed that the superior temporal cortex was synchronized across auditory and visual conditions, even in sensory-deprived individuals who lack any audiovisual experience. This synchronization was primarily mediated by low-level perceptual features, and relied on a similar modality-independent topographical organization of slow temporal dynamics. The human superior temporal cortex is naturally endowed with a functional scaffolding to yield a common representation across multisensory events.
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Affiliation(s)
- Francesca Setti
- MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | | | - Davide Bottari
- MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Andrea Leo
- Department of Translational Research and Advanced Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Matteo Diano
- Department of Psychology, University of Turin, Turin, Italy
| | - Valentina Bruno
- Manibus Lab, Department of Psychology, University of Turin, Turin, Italy
| | - Carla Tinti
- Department of Psychology, University of Turin, Turin, Italy
| | - Luca Cecchetti
- MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | | | - Pietro Pietrini
- MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
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7
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Grollero D, Petrolini V, Viola M, Morese R, Lettieri G, Cecchetti L. The structure underlying core affect and perceived affective qualities of human vocal bursts. Cogn Emot 2022; 37:1-17. [PMID: 36300588 DOI: 10.1080/02699931.2022.2139661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Vocal bursts are non-linguistic affectively-laden sounds with a crucial function in human communication, yet their affective structure is still debated. Studies showed that ratings of valence and arousal follow a V-shaped relationship in several kinds of stimuli: high arousal ratings are more likely to go on a par with very negative or very positive valence. Across two studies, we asked participants to listen to 1,008 vocal bursts and judge both how they felt when listening to the sound (i.e. core affect condition), and how the speaker felt when producing it (i.e. perception of affective quality condition). We show that a V-shaped fit outperforms a linear model in explaining the valence-arousal relationship across conditions and studies, even after equating the number of exemplars across emotion categories. Also, although subjective experience can be significantly predicted using affective quality ratings, core affect scores are significantly lower in arousal, less extreme in valence, more variable between individuals, and less reproducible between studies. Nonetheless, stimuli rated with opposite valence between conditions range from 11% (study 1) to 17% (study 2). Lastly, we demonstrate that ambiguity in valence (i.e. high between-participants variability) explains violations of the V-shape and relates to higher arousal.
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Affiliation(s)
- Demetrio Grollero
- Social and Affective Neuroscience (SANe) Group, MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Valentina Petrolini
- Lindy Lab - Language in Neurodiversity, Department of Linguistics and Basque Studies, University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, Spain
| | - Marco Viola
- Department of Philosophy and Education, University of Turin, Turin, Italy
| | - Rosalba Morese
- Faculty of Communication, Culture and Society, Università della Svizzera Italiana, Lugano, Switzerland
- Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland
| | - Giada Lettieri
- Social and Affective Neuroscience (SANe) Group, MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
- Crossmodal Perception and Plasticity Laboratory, IPSY, University of Louvain, Louvain-la-Neuve, Belgium
| | - Luca Cecchetti
- Social and Affective Neuroscience (SANe) Group, MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
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8
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Cappello EM, Lettieri G, Malizia AP, d'Arcangelo S, Handjaras G, Lattanzi N, Ricciardi E, Cecchetti L. The Contribution of Shape Features and Demographic Variables to Disembedding Abilities. Front Psychol 2022; 13:798871. [PMID: 35422741 PMCID: PMC9004388 DOI: 10.3389/fpsyg.2022.798871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 02/24/2022] [Indexed: 11/17/2022] Open
Abstract
Humans naturally perceive visual patterns in a global manner and are remarkably capable of extracting object shapes based on properties such as proximity, closure, symmetry, and good continuation. Notwithstanding the role of these properties in perceptual grouping, studies highlighted differences in disembedding performance across individuals, which are summarized by the field dependence dimension. Evidence suggests that age and educational attainment explain part of this variability, whereas the role of sex is still highly debated. Also, which stimulus features primarily influence inter-individual variations in perceptual grouping has still to be fully determined. Building upon these premises, we assessed the role of age, education level, and sex on performance at the Leuven Embedded Figure Test—a proxy of disembedding abilities—in 391 cisgender individuals. We also investigated to what extent shape symmetry, closure, complexity, and continuation relate to task accuracy. Overall, target asymmetry, closure, and good continuation with the embedding context increase task difficulty. Simpler shapes are more difficult to detect than those with more lines, yet context complexity impairs the recognition of complex targets (i.e., those with 6 lines or more) to a greater extent. Concerning demographic data, we confirm that age and educational attainment are significantly associated with disembedding abilities and reveal a perceptual advantage in males. In summary, our study further highlights the role of shape properties in disembedding performance and unveils sex differences not reported so far.
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Affiliation(s)
- Elisa Morgana Cappello
- Social and Affective Neuroscience (SANe) group, MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Giada Lettieri
- Social and Affective Neuroscience (SANe) group, MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | | | - Sonia d'Arcangelo
- Intesa Sanpaolo Innovation Center SpA, Neuroscience Lab, Torino, Italy
| | - Giacomo Handjaras
- Social and Affective Neuroscience (SANe) group, MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Nicola Lattanzi
- Laboratory for the Analysis of CompleX Economic Systems, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Emiliano Ricciardi
- Molecular Mind Laboratory, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Luca Cecchetti
- Social and Affective Neuroscience (SANe) group, MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
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9
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Lancione M, Costagli M, Handjaras G, Tosetti M, Ricciardi E, Pietrini P, Cecchetti L. Complementing canonical fMRI with functional Quantitative Susceptibility Mapping (fQSM) in modern neuroimaging research. Neuroimage 2021; 244:118574. [PMID: 34508897 DOI: 10.1016/j.neuroimage.2021.118574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 09/03/2021] [Accepted: 09/07/2021] [Indexed: 10/20/2022] Open
Abstract
Functional Quantitative Susceptibility Mapping (fQSM) allows for the quantitative measurement of time-varying magnetic susceptibility across cortical and subcortical brain structures with a potentially higher spatial specificity than conventional fMRI. While the usefulness of fQSM with General Linear Model and "On/Off" paradigms has been assessed, little is known about the potential applications and limitations of this technique in more sophisticated experimental paradigms and analyses, such as those currently used in modern neuroimaging. To thoroughly characterize fQSM activations, here we used 7T MRI, tonotopic mapping, as well as univariate (i.e., GLM and population Receptive Field) and multivariate (Representational Similarity Analysis; RSA) analyses. Although fQSM detected less tone-responsive voxels than fMRI, they were more consistently localized in gray matter. Also, the majority of active gray matter voxels exhibited negative fQSM response, signaling the expected oxyhemoglobin increase, whereas positive fQSM activations were mainly in white matter. Though fMRI- and fQSM-based tonotopic maps were overall comparable, the representation of frequency tunings in tone-sensitive regions was significantly more balanced for fQSM. Lastly, RSA revealed that frequency information from the auditory cortex could be successfully retrieved by using either methods. Overall, fQSM produces complementary results to conventional fMRI, as it captures small-scale variations in the activation pattern which inform multivariate measures. Although positive fQSM responses deserve further investigation, they do not impair the interpretation of contrasts of interest. The quantitative nature of fQSM, its spatial specificity and the possibility to simultaneously acquire canonical fMRI support the use of this technique for longitudinal and multicentric studies and pre-surgical mapping.
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Affiliation(s)
- Marta Lancione
- MoMiLab, IMT School for Advanced Studies Lucca, Piazza San Francesco, 19, Lucca 55100, Italy; IMAGO7 Foundation, Pisa, Italy.
| | - Mauro Costagli
- Laboratory of Medical Physics and Magnetic Resonance, IRCCS Fondazione Stella Maris, Pisa, Italy; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Sciences (DINOGMI), University of Genoa, Genoa, Italy
| | - Giacomo Handjaras
- Social and Affective Neuroscience (SANe) Group, MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Michela Tosetti
- IMAGO7 Foundation, Pisa, Italy; Laboratory of Medical Physics and Magnetic Resonance, IRCCS Fondazione Stella Maris, Pisa, Italy
| | - Emiliano Ricciardi
- MoMiLab, IMT School for Advanced Studies Lucca, Piazza San Francesco, 19, Lucca 55100, Italy
| | - Pietro Pietrini
- MoMiLab, IMT School for Advanced Studies Lucca, Piazza San Francesco, 19, Lucca 55100, Italy
| | - Luca Cecchetti
- Social and Affective Neuroscience (SANe) Group, MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
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10
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Lettieri G, Handjaras G, Setti F, Cappello EM, Bruno V, Diano M, Leo A, Ricciardi E, Pietrini P, Cecchetti L. Default and Control Networks Connectivity Dynamics Track the Stream of Affect at Multiple Timescales. Soc Cogn Affect Neurosci 2021; 17:461-469. [PMID: 34673987 PMCID: PMC9071410 DOI: 10.1093/scan/nsab112] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 09/24/2021] [Accepted: 10/21/2021] [Indexed: 11/14/2022] Open
Abstract
In everyday life the stream of affect results from the interaction between past experiences, expectations, and the unfolding of events. How the brain represents the relationship between time and affect has been hardly explored, as it requires modeling the complexity of everyday life in the laboratory setting. Movies condense into hours a multitude of emotional responses, synchronized across subjects and characterized by temporal dynamics alike real-world experiences. Here, we use time-varying intersubject brain synchronization and real-time behavioral reports to test whether connectivity dynamics track changes in affect during movie watching. Results show that polarity and intensity of experiences relate to connectivity of the default mode and control networks and converge in the right temporo-parietal cortex. We validate these results in two experiments including four independent samples, two movies, and alternative analysis workflows. Lastly, we reveal chronotopic connectivity maps within temporo-parietal and prefrontal cortex, where adjacent areas preferentially encode affect at specific timescales.
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Affiliation(s)
- Giada Lettieri
- Social and Affective Neuroscience Group, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Giacomo Handjaras
- Social and Affective Neuroscience Group, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Francesca Setti
- Molecular Mind Laboratory, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Elisa Morgana Cappello
- Social and Affective Neuroscience Group, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Valentina Bruno
- MANIBUS Lab, Psychology Department, University of Turin, Turin, Italy
| | - Matteo Diano
- Department of Psychology, University of Turin, Turin, Italy
| | - Andrea Leo
- Department of Translational Research and Advanced Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Emiliano Ricciardi
- Molecular Mind Laboratory, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Pietro Pietrini
- Molecular Mind Laboratory, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Luca Cecchetti
- Social and Affective Neuroscience Group, IMT School for Advanced Studies Lucca, Lucca, Italy
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11
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Avvenuti G, Bertelloni D, Lettieri G, Ricciardi E, Cecchetti L, Pietrini P, Bernardi G. Emotion Regulation Failures Are Preceded by Local Increases in Sleep-like Activity. J Cogn Neurosci 2021; 33:2342-2356. [PMID: 34618906 DOI: 10.1162/jocn_a_01753] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Emotion self-regulation relies both on cognitive and behavioral strategies implemented to modulate the subjective experience and/or the behavioral expression of a given emotion. Although it is known that a network encompassing fronto-cingulate and parietal brain areas is engaged during successful emotion regulation, the functional mechanisms underlying failures in emotion suppression (ES) are still unclear. In order to investigate this issue, we analyzed video and high-density EEG recordings of 20 healthy adult participants during an ES and a free expression task performed on two consecutive days. Changes in facial expression during ES, but not free expression, were preceded by local increases in sleep-like activity (1-4 Hz) in brain areas responsible for emotional suppression, including bilateral anterior insula and anterior cingulate cortex, and in right middle/inferior frontal gyrus (p < .05, corrected). Moreover, shorter sleep duration the night before the ES experiment correlated with the number of behavioral errors (p = .03) and tended to be associated with higher frontal sleep-like activity during ES failures (p = .09). These results indicate that local sleep-like activity may represent the cause of ES failures in humans and may offer a functional explanation for previous observations linking lack of sleep, changes in frontal activity, and emotional dysregulation.
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Avvenuti G, Bertelloni D, Lettieri G, Ricciardi E, Cecchetti L, Pietrini P, Bernardi G. Reduced sleep time is associated with increases in frontal sleep-like activity and emotion regulation failures. Eur Psychiatry 2021. [PMCID: PMC9471493 DOI: 10.1192/j.eurpsy.2021.452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Introduction Emotion self-regulation relies both on cognitive and behavioral strategies implemented to modulate the subjective experience and/or the behavioral expression of a given emotion. Objectives While it is known that a network encompassing fronto-cingulate and parietal brain areas is engaged during successful emotion regulation, the functional mechanisms underlying failures in emotion suppression are still unclear. Methods We analyzed facial-view video and high-density EEG recordings of nineteen healthy adult subjects (26±3yrs, 10F) during an emotion suppression (ES) and a free expression (FE) task performed on two consecutive days. An actigraph was worn for 7-days and used to determine sleep-time before each experiment. Changes in facial expression were identified and manually marked on the video recordings. Continuous hd-EEG recordings were preprocessed using standard approaches to reduce artifactual activity and source-modeled using sLORETA. Results Changes in facial expression during ES, but not FE, were preceded by local increases in sleep-like activity (1-4Hz) in in brain areas responsible for emotional suppression, including bilateral anterior insula and anterior cingulate cortex, and in right middle/inferior frontal gyrus (p<0.05, corrected; Figures 1 and 2). Moreover, shorter sleep duration the night prior to the ES experiment correlated with the number of behavioral errors (p=0.01; Figure 3) and tended to be associated with higher frontal sleep-like activity during emotion suppression failures (p=0.05). Conclusions These results indicate that local sleep-like activity may represent the cause of emotion suppression failures in humans, and may offer a functional explanation for previous observations linking lack of sleep, changes in frontal activity and emotional dysregulation. Disclosure No significant relationships.
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Lettieri G, Handjaras G, Ricciardi E, Pietrini P, Cecchetti L. Chronotopic encoding of emotional dimensions in the human brain assessed by FMRI. Eur Psychiatry 2021. [PMCID: PMC9470403 DOI: 10.1192/j.eurpsy.2021.361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Introduction Affective experiences vary as function of context, motivations and the unfolding of events. This temporal fundamental aspect of emotional processes is often disrupted in psychiatric conditions. Objectives To investigate how the brain represents the association between affect and time, we combined fMRI and behavioral ratings during movie watching. Methods Participants watched ‘Forrest Gump’ in the fMRI scanner (n=14, 6F). Data were preprocessed (see 10.1101/2020.06.06.137851v1) and average brain activity from 1000 regions was extracted. Independent subjects (n=12, 5F) provided continuous ratings of the intensity of their affective state while watching the same movie. Using PCA, we derived the first 3 affective dimensions (polarity, complexity, intensity; 10.1038/s41467-019-13599-z) and computed their time-varying correlation in windows from 5-1000tps. We identified the window size with the maximum between-subjects accordance and computed the inter-subject functional connectivity (10.1038/ncomms12141). For each region, we obtained connectivity strength and its association in time with changes in affective dimensions (pBonf<0.05). Results Fluctuations in connectivity strength of the right rMFG, precuneus, pSTS/TPJ, dmPFC, aINS and left pMTG were associated to polarity. Also, connectivity of the right IPS/SPL, SFG, dpreCS, IFGpOrb, OFC, precuneus, vpreCS and pSTS/TPJ followed the timecourse of perceived intensity of affect. Conclusions Connectivity strength of default mode represents the pleasantness of the experience, whereas attention and control networks encode its intensity. Emotional descriptions converge in right temporoparietal and fronto-polar cortex, where the stream of affect is encoded in a chronotopic manner. These results expand our understanding of the neural correlates of emotional processing, a function severely affected by mental disorders. Disclosure No significant relationships.
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Cappello E, Lettieri G, Handjaras G, Ricciardi E, Pietrini P, Cecchetti L. How far in the future can we predict others’ affective states? Eur Psychiatry 2021. [PMCID: PMC9471739 DOI: 10.1192/j.eurpsy.2021.370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Introduction Human social interactions are rooted in the ability to understand and predict one’s own and others emotions. Individuals develop accurate mental models of emotional transitions (MMET) by observing regularities in affective experiences (DOI: 10.1073/pnas.1616056114) and a failure in this regard can produce maladaptive behaviors, one of the hallmark features in several psychiatric conditions. Objectives To investigate whether MMET are stable over time and which emotion dimensions (e.g., valence, dominance) influence MMET over time. Methods We selected thirty-seven emotion categories (DOI: 10.1177/0539018405058216) and five different time intervals (from 15 minutes to 4 days). Sixty-two healthy participants rated the likelihood of transition between all possible pairs of affective states at each time interval. Results As expected, we observed a trend toward uncertainty as the timescale increased. In addition, the probability of shifting between two affective states having the same valence (e.g., happiness and contentment) was rated higher than for emotions with opposite polarity (e.g., happiness and sadness). Even though this pattern becomes gradually noisier for predictions far in the future, it is still present for infradian intervals (Fig.1).![]() Conclusions Our results suggest that MMET are informed by the valence dimension and moderately influenced by the timescale of the prediction. These findings in the healthy population may prompt the exploration of emotion dynamics in psychiatric conditions. Future studies could leverage the MMET approach to test whether specific psychiatric disorders (e.g., bipolar disorder) are associated with abnormal patterns of emotion transitions. Disclosure No significant relationships.
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Papale P, Leo A, Handjaras G, Cecchetti L, Pietrini P, Ricciardi E. Shape coding in occipito-temporal cortex relies on object silhouette, curvature, and medial axis. J Neurophysiol 2020; 124:1560-1570. [PMID: 33052726 DOI: 10.1152/jn.00212.2020] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
Object recognition relies on different transformations of the retinal input, carried out by the visual system, that range from local contrast to object shape and category. While some of those transformations are thought to occur at specific stages of the visual hierarchy, the features they represent are correlated (e.g., object shape and identity) and selectivity for the same feature overlaps in many brain regions. This may be explained either by collinearity across representations or may instead reflect the coding of multiple dimensions by the same cortical population. Moreover, orthogonal and shared components may differently impact distinctive stages of the visual hierarchy. We recorded functional MRI activity while participants passively attended to object images and employed a statistical approach that partitioned orthogonal and shared object representations to reveal their relative impact on brain processing. Orthogonal shape representations (silhouette, curvature, and medial axis) independently explained distinct and overlapping clusters of selectivity in the occitotemporal and parietal cortex. Moreover, we show that the relevance of shared representations linearly increases moving from posterior to anterior regions. These results indicate that the visual cortex encodes shared relations between different features in a topographic fashion and that object shape is encoded along different dimensions, each representing orthogonal features.NEW & NOTEWORTHY There are several possible ways of characterizing the shape of an object. Which shape description better describes our brain responses while we passively perceive objects? Here, we employed three competing shape models to explain brain representations when viewing real objects. We found that object shape is encoded in a multidimensional fashion and thus defined by the interaction of multiple features.
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Affiliation(s)
- Paolo Papale
- Molecular Mind Laboratory, IMT School for Advanced Studies Lucca, Italy.,Department of Vision and Cognition, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
| | - Andrea Leo
- Molecular Mind Laboratory, IMT School for Advanced Studies Lucca, Italy.,Department of Translational Research and Advanced Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Giacomo Handjaras
- Molecular Mind Laboratory, IMT School for Advanced Studies Lucca, Italy
| | - Luca Cecchetti
- Molecular Mind Laboratory, IMT School for Advanced Studies Lucca, Italy
| | - Pietro Pietrini
- Molecular Mind Laboratory, IMT School for Advanced Studies Lucca, Italy
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Gentili C, Cecchetti L, Handjaras G, Lettieri G, Cristea IA. The case for preregistering all region of interest (ROI) analyses in neuroimaging research. Eur J Neurosci 2020; 53:357-361. [PMID: 32852863 DOI: 10.1111/ejn.14954] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 07/16/2020] [Accepted: 08/12/2020] [Indexed: 01/31/2023]
Abstract
In neuroimaging studies, small sample sizes and the resultant reduced statistical power to detect effects that are not large, combined with inadequate analytic choices, concur to produce inflated or false-positive findings. To mitigate these issues, researchers often restrict analyses to specific brain areas, using the region of interest (ROI) approach. Crucially, ROI analysis assumes the a priori justified definition of the target region. Nonetheless, reports often lack details about where in the timeline, ranging from study conception to the data analysis and interpretation of findings, were ROIs selected. Frequently, the rationale for ROI selection is vague or inadequately founded on the existing literature. These shortcomings have important implications for ROI-based studies, augmenting the risk that observed effects are inflated or even false positives. Tools like preregistration and registered reports could address this problem, ensuring the validity of ROI-based studies. The benefits could be enhanced by additional practices such as selection of ROIs using quantitative methods (i.e., meta-analysis) and the sharing of whole-brain unthresholded maps of effect size, as well as of binary ROIs, in publicly accessible repositories.
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Affiliation(s)
- Claudio Gentili
- Department of General Psychology, University of Padova, Padova, Italy
| | - Luca Cecchetti
- Social and Affective Neuroscience Group, MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Giacomo Handjaras
- Social and Affective Neuroscience Group, MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Giada Lettieri
- Social and Affective Neuroscience Group, MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Ioana A Cristea
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
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17
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Botvinik-Nezer R, Holzmeister F, Camerer CF, Dreber A, Huber J, Johannesson M, Kirchler M, Iwanir R, Mumford JA, Adcock RA, Avesani P, Baczkowski BM, Bajracharya A, Bakst L, Ball S, Barilari M, Bault N, Beaton D, Beitner J, Benoit RG, Berkers RMWJ, Bhanji JP, Biswal BB, Bobadilla-Suarez S, Bortolini T, Bottenhorn KL, Bowring A, Braem S, Brooks HR, Brudner EG, Calderon CB, Camilleri JA, Castrellon JJ, Cecchetti L, Cieslik EC, Cole ZJ, Collignon O, Cox RW, Cunningham WA, Czoschke S, Dadi K, Davis CP, Luca AD, Delgado MR, Demetriou L, Dennison JB, Di X, Dickie EW, Dobryakova E, Donnat CL, Dukart J, Duncan NW, Durnez J, Eed A, Eickhoff SB, Erhart A, Fontanesi L, Fricke GM, Fu S, Galván A, Gau R, Genon S, Glatard T, Glerean E, Goeman JJ, Golowin SAE, González-García C, Gorgolewski KJ, Grady CL, Green MA, Guassi Moreira JF, Guest O, Hakimi S, Hamilton JP, Hancock R, Handjaras G, Harry BB, Hawco C, Herholz P, Herman G, Heunis S, Hoffstaedter F, Hogeveen J, Holmes S, Hu CP, Huettel SA, Hughes ME, Iacovella V, Iordan AD, Isager PM, Isik AI, Jahn A, Johnson MR, Johnstone T, Joseph MJE, Juliano AC, Kable JW, Kassinopoulos M, Koba C, Kong XZ, Koscik TR, Kucukboyaci NE, Kuhl BA, Kupek S, Laird AR, Lamm C, Langner R, Lauharatanahirun N, Lee H, Lee S, Leemans A, Leo A, Lesage E, Li F, Li MYC, Lim PC, Lintz EN, Liphardt SW, Losecaat Vermeer AB, Love BC, Mack ML, Malpica N, Marins T, Maumet C, McDonald K, McGuire JT, Melero H, Méndez Leal AS, Meyer B, Meyer KN, Mihai G, Mitsis GD, Moll J, Nielson DM, Nilsonne G, Notter MP, Olivetti E, Onicas AI, Papale P, Patil KR, Peelle JE, Pérez A, Pischedda D, Poline JB, Prystauka Y, Ray S, Reuter-Lorenz PA, Reynolds RC, Ricciardi E, Rieck JR, Rodriguez-Thompson AM, Romyn A, Salo T, Samanez-Larkin GR, Sanz-Morales E, Schlichting ML, Schultz DH, Shen Q, Sheridan MA, Silvers JA, Skagerlund K, Smith A, Smith DV, Sokol-Hessner P, Steinkamp SR, Tashjian SM, Thirion B, Thorp JN, Tinghög G, Tisdall L, Tompson SH, Toro-Serey C, Torre Tresols JJ, Tozzi L, Truong V, Turella L, van 't Veer AE, Verguts T, Vettel JM, Vijayarajah S, Vo K, Wall MB, Weeda WD, Weis S, White DJ, Wisniewski D, Xifra-Porxas A, Yearling EA, Yoon S, Yuan R, Yuen KSL, Zhang L, Zhang X, Zosky JE, Nichols TE, Poldrack RA, Schonberg T. Variability in the analysis of a single neuroimaging dataset by many teams. Nature 2020; 582:84-88. [PMID: 32483374 PMCID: PMC7771346 DOI: 10.1038/s41586-020-2314-9] [Citation(s) in RCA: 423] [Impact Index Per Article: 105.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Accepted: 04/07/2020] [Indexed: 01/13/2023]
Abstract
Data analysis workflows in many scientific domains have become increasingly complex and flexible. Here we assess the effect of this flexibility on the results of functional magnetic resonance imaging by asking 70 independent teams to analyse the same dataset, testing the same 9 ex-ante hypotheses1. The flexibility of analytical approaches is exemplified by the fact that no two teams chose identical workflows to analyse the data. This flexibility resulted in sizeable variation in the results of hypothesis tests, even for teams whose statistical maps were highly correlated at intermediate stages of the analysis pipeline. Variation in reported results was related to several aspects of analysis methodology. Notably, a meta-analytical approach that aggregated information across teams yielded a significant consensus in activated regions. Furthermore, prediction markets of researchers in the field revealed an overestimation of the likelihood of significant findings, even by researchers with direct knowledge of the dataset2-5. Our findings show that analytical flexibility can have substantial effects on scientific conclusions, and identify factors that may be related to variability in the analysis of functional magnetic resonance imaging. The results emphasize the importance of validating and sharing complex analysis workflows, and demonstrate the need for performing and reporting multiple analyses of the same data. Potential approaches that could be used to mitigate issues related to analytical variability are discussed.
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Affiliation(s)
- Rotem Botvinik-Nezer
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
- Department of Neurobiology, The George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA
| | - Felix Holzmeister
- Department of Banking and Finance, University of Innsbruck, Innsbruck, Austria
| | - Colin F Camerer
- HSS and CNS, California Institute of Technology, Pasadena, CA, USA
| | - Anna Dreber
- Department of Economics, Stockholm School of Economics, Stockholm, Sweden
- Department of Economics, University of Innsbruck, Innsbruck, Austria
| | - Juergen Huber
- Department of Banking and Finance, University of Innsbruck, Innsbruck, Austria
| | - Magnus Johannesson
- Department of Economics, Stockholm School of Economics, Stockholm, Sweden
| | - Michael Kirchler
- Department of Banking and Finance, University of Innsbruck, Innsbruck, Austria
| | - Roni Iwanir
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
- Department of Neurobiology, The George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Jeanette A Mumford
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI, USA
| | - R Alison Adcock
- Center for Cognitive Neuroscience, Duke University, Durham, NC, USA
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
| | - Paolo Avesani
- Neuroinformatics Laboratory, Fondazione Bruno Kessler, Trento, Italy
- Center for Mind/Brain Sciences - CIMeC, University of Trento, Rovereto, Italy
| | - Blazej M Baczkowski
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Aahana Bajracharya
- Department of Otolaryngology, Washington University in St. Louis, St. Louis, MO, USA
| | - Leah Bakst
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
- Center for Systems Neuroscience, Boston University, Boston, MA, USA
| | - Sheryl Ball
- Department of Economics, Virginia Tech, Blacksburg, VA, USA
- School of Neuroscience, Virginia Tech, Blacksburg, VA, USA
| | - Marco Barilari
- Crossmodal Perception and Plasticity Laboratory, Institutes for Research in Psychology (IPSY) and Neurosciences (IoNS), UCLouvain, Louvain-la-Neuve, Belgium
| | - Nadège Bault
- School of Psychology, University of Plymouth, Plymouth, UK
| | - Derek Beaton
- Rotman Research Institute, Baycrest Health Sciences Centre, Toronto, Ontario, Canada
| | - Julia Beitner
- Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
- Department of Psychology, Goethe University, Frankfurt am Main, Germany
| | - Roland G Benoit
- Max Planck Research Group: Adaptive Memory, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Ruud M W J Berkers
- Max Planck Research Group: Adaptive Memory, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Jamil P Bhanji
- Department of Psychology, Rutgers University-Newark, Newark, NJ, USA
| | - Bharat B Biswal
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | | | - Tiago Bortolini
- D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil
| | | | - Alexander Bowring
- Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Senne Braem
- Department of Experimental Psychology, Ghent University, Ghent, Belgium
- Department of Psychology, Vrije Universiteit Brussel, Brussels, Belgium
| | - Hayley R Brooks
- Department of Psychology, University of Denver, Denver, CO, USA
| | - Emily G Brudner
- Department of Psychology, Rutgers University-Newark, Newark, NJ, USA
| | | | - Julia A Camilleri
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Jaime J Castrellon
- Center for Cognitive Neuroscience, Duke University, Durham, NC, USA
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Luca Cecchetti
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Edna C Cieslik
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Zachary J Cole
- Department of Psychology, University of Nebraska-Lincoln, Lincoln, NE, USA
| | - Olivier Collignon
- Center for Mind/Brain Sciences - CIMeC, University of Trento, Rovereto, Italy
- Crossmodal Perception and Plasticity Laboratory, Institutes for Research in Psychology (IPSY) and Neurosciences (IoNS), UCLouvain, Louvain-la-Neuve, Belgium
| | - Robert W Cox
- National Institute of Mental Health (NIMH), National Institutes of Health, Bethesda, MD, USA
| | | | - Stefan Czoschke
- Institute of Medical Psychology, Goethe University, Frankfurt am Main, Germany
| | | | - Charles P Davis
- Department of Psychological Sciences, University of Connecticut, Storrs, CT, USA
- Brain Imaging Research Center, University of Connecticut, Storrs, CT, USA
- Connecticut Institute for the Brain and Cognitive Sciences, University of Connecticut, Storrs, CT, USA
| | - Alberto De Luca
- PROVIDI Lab, Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Lysia Demetriou
- Section of Endocrinology and Investigative Medicine, Faculty of Medicine, Imperial College London, London, UK
- Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK
| | | | - Xin Di
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Erin W Dickie
- Krembil Centre for Neuroinformatics, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Ekaterina Dobryakova
- Center for Traumatic Brain Injury Research, Kessler Foundation, East Hanover, NJ, USA
| | - Claire L Donnat
- Department of Statistics, Stanford University, Stanford, CA, USA
| | - Juergen Dukart
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Niall W Duncan
- Graduate Institute of Mind, Brain and Consciousness, Taipei Medical University, Taipei, Taiwan
- Brain and Consciousness Research Centre, TMU-ShuangHo Hospital, New Taipei City, Taiwan
| | - Joke Durnez
- Department of Psychology and Stanford Center for Reproducible Neuroscience, Stanford University, Stanford, CA, USA
| | - Amr Eed
- Instituto de Neurociencias, CSIC-UMH, Alicante, Spain
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Andrew Erhart
- Department of Psychology, University of Denver, Denver, CO, USA
| | - Laura Fontanesi
- Faculty of Psychology, University of Basel, Basel, Switzerland
| | - G Matthew Fricke
- Computer Science Department, University of New Mexico, Albuquerque, NM, USA
| | - Shiguang Fu
- School of Management, Zhejiang University of Technology, Hangzhou, China
- Institute of Neuromanagement, Zhejiang University of Technology, Hangzhou, China
| | - Adriana Galván
- Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
| | - Remi Gau
- Crossmodal Perception and Plasticity Laboratory, Institutes for Research in Psychology (IPSY) and Neurosciences (IoNS), UCLouvain, Louvain-la-Neuve, Belgium
| | - Sarah Genon
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Tristan Glatard
- Department of Computer Science and Software Engineering, Concordia University, Montreal, Quebec, Canada
| | - Enrico Glerean
- Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland
| | - Jelle J Goeman
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Sergej A E Golowin
- Graduate Institute of Mind, Brain and Consciousness, Taipei Medical University, Taipei, Taiwan
| | | | | | - Cheryl L Grady
- Rotman Research Institute, Baycrest Health Sciences Centre, Toronto, Ontario, Canada
| | - Mikella A Green
- Center for Cognitive Neuroscience, Duke University, Durham, NC, USA
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - João F Guassi Moreira
- Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
| | - Olivia Guest
- Department of Experimental Psychology, University College London, London, UK
- Research Centre on Interactive Media, Smart Systems and Emerging Technologies - RISE, Nicosia, Cyprus
| | - Shabnam Hakimi
- Center for Cognitive Neuroscience, Duke University, Durham, NC, USA
| | - J Paul Hamilton
- Center for Social and Affective Neuroscience, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Roeland Hancock
- Brain Imaging Research Center, University of Connecticut, Storrs, CT, USA
- Connecticut Institute for the Brain and Cognitive Sciences, University of Connecticut, Storrs, CT, USA
| | - Giacomo Handjaras
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Bronson B Harry
- The MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Sydney, New South Wales, Australia
| | - Colin Hawco
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Peer Herholz
- McConnell Brain Imaging Centre, The Neuro (Montreal Neurological Institute-Hospital), Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Gabrielle Herman
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Stephan Heunis
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
- Department of Research and Development, Epilepsy Centre Kempenhaeghe, Heeze, The Netherlands
| | - Felix Hoffstaedter
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Jeremy Hogeveen
- Department of Psychology, University of New Mexico, Albuquerque, NM, USA
- Psychology Clinical Neuroscience Center, University of New Mexico, Albuquerque, NM, USA
| | - Susan Holmes
- Department of Statistics, Stanford University, Stanford, CA, USA
| | - Chuan-Peng Hu
- Leibniz-Institut für Resilienzforschung (LIR), Mainz, Germany
| | - Scott A Huettel
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Matthew E Hughes
- School of Health Sciences, Swinburne University of Technology, Hawthorn, Victoria, Australia
| | - Vittorio Iacovella
- Center for Mind/Brain Sciences - CIMeC, University of Trento, Rovereto, Italy
| | | | - Peder M Isager
- Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Ayse I Isik
- Department of Neuroscience, Max Planck Institute for Empirical Aesthetics, Frankfurt am Main, Germany
| | - Andrew Jahn
- fMRI Laboratory, University of Michigan, Ann Arbor, MI, USA
| | - Matthew R Johnson
- Department of Psychology, University of Nebraska-Lincoln, Lincoln, NE, USA
- Center for Brain, Biology and Behavior, University of Nebraska-Lincoln, Lincoln, NE, USA
| | - Tom Johnstone
- School of Health Sciences, Swinburne University of Technology, Hawthorn, Victoria, Australia
| | - Michael J E Joseph
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Anthony C Juliano
- Center for Neuropsychology and Neuroscience Research, Kessler Foundation, East Hanover, NJ, USA
| | - Joseph W Kable
- Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA
- MindCORE, University of Pennsylvania, Philadelphia, PA, USA
| | - Michalis Kassinopoulos
- Graduate Program in Biological and Biomedical Engineering, McGill University, Montreal, Quebec, Canada
| | - Cemal Koba
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Xiang-Zhen Kong
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Timothy R Koscik
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Nuri Erkut Kucukboyaci
- Center for Traumatic Brain Injury Research, Kessler Foundation, East Hanover, NJ, USA
- Department of Physical Medicine and Rehabilitation, Rutgers New Jersey Medical School, Newark, NJ, USA
| | - Brice A Kuhl
- Department of Psychology, University of Oregon, Eugene, OR, USA
| | - Sebastian Kupek
- Faculty of Economics and Statistics, University of Innsbruck, Innsbruck, Austria
| | - Angela R Laird
- Department of Physics, Florida International University, Miami, Florida, USA
| | - Claus Lamm
- Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria
- Vienna Cognitive Science Hub, University of Vienna, Vienna, Austria
| | - Robert Langner
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Nina Lauharatanahirun
- US CCDC Army Research Laboratory, Human Research and Engineering Directorate, Aberdeen Proving Ground, MD, USA
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA, USA
| | - Hongmi Lee
- Department of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD, USA
| | - Sangil Lee
- Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA
| | - Alexander Leemans
- PROVIDI Lab, Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Andrea Leo
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Elise Lesage
- Department of Experimental Psychology, Ghent University, Ghent, Belgium
| | - Flora Li
- Fralin Biomedical Research Institute, Roanoke, VA, USA
- Economics Experimental Lab, Nanjing Audit University, Nanjing, China
| | - Monica Y C Li
- Department of Psychological Sciences, University of Connecticut, Storrs, CT, USA
- Brain Imaging Research Center, University of Connecticut, Storrs, CT, USA
- Connecticut Institute for the Brain and Cognitive Sciences, University of Connecticut, Storrs, CT, USA
- Haskins Laboratories, New Haven, CT, USA
| | - Phui Cheng Lim
- Department of Psychology, University of Nebraska-Lincoln, Lincoln, NE, USA
- Center for Brain, Biology and Behavior, University of Nebraska-Lincoln, Lincoln, NE, USA
| | - Evan N Lintz
- Department of Psychology, University of Nebraska-Lincoln, Lincoln, NE, USA
| | | | - Annabel B Losecaat Vermeer
- Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria
| | - Bradley C Love
- Department of Experimental Psychology, University College London, London, UK
- The Alan Turing Institute, London, UK
| | - Michael L Mack
- Department of Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Norberto Malpica
- Laboratorio de Análisis de Imagen Médica y Biometría (LAIMBIO), Universidad Rey Juan Carlos, Madrid, Spain
| | - Theo Marins
- D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil
| | - Camille Maumet
- Inria, Univ Rennes, CNRS, Inserm, IRISA UMR 6074, Empenn ERL U 1228, Rennes, France
| | - Kelsey McDonald
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Joseph T McGuire
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
- Center for Systems Neuroscience, Boston University, Boston, MA, USA
| | - Helena Melero
- Laboratorio de Análisis de Imagen Médica y Biometría (LAIMBIO), Universidad Rey Juan Carlos, Madrid, Spain
- Departamento de Psicobiología, División de Psicología, CES Cardenal Cisneros, Madrid, Spain
- Northeastern University Biomedical Imaging Center, Northeastern University, Boston, MA, USA
| | - Adriana S Méndez Leal
- Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
| | - Benjamin Meyer
- Leibniz-Institut für Resilienzforschung (LIR), Mainz, Germany
- Neuroimaging Center (NIC), Focus Program Translational Neurosciences (FTN), Johannes Gutenberg University Medical Center Mainz, Mainz, Germany
| | - Kristin N Meyer
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Glad Mihai
- Max Planck Research Group: Neural Mechanisms of Human Communication, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Chair of Cognitive and Clinical Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Georgios D Mitsis
- Department of Bioengineering, McGill University, Montreal, Quebec, Canada
| | - Jorge Moll
- D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil
- Department of Psychology, Stanford University, Stanford, CA, USA
| | - Dylan M Nielson
- Data Science and Sharing Team, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
| | - Gustav Nilsonne
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Psychology, Stockholm University, Stockholm, Sweden
| | - Michael P Notter
- The Laboratory for Investigative Neurophysiology (The LINE), Department of Radiology, University Hospital Center and University of Lausanne, Lausanne, Switzerland
| | - Emanuele Olivetti
- Neuroinformatics Laboratory, Fondazione Bruno Kessler, Trento, Italy
- Center for Mind/Brain Sciences - CIMeC, University of Trento, Rovereto, Italy
| | - Adrian I Onicas
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Paolo Papale
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy
- Department of Vision and Cognition, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
| | - Kaustubh R Patil
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Jonathan E Peelle
- Department of Otolaryngology, Washington University in St. Louis, St. Louis, MO, USA
| | - Alexandre Pérez
- McConnell Brain Imaging Centre, The Neuro (Montreal Neurological Institute-Hospital), Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Doris Pischedda
- Bernstein Center for Computational Neuroscience and Berlin Center for Advanced Neuroimaging and Clinic for Neurology, Charité Universitätsmedizin, corporate member of Freie Universität Berlin, Humboldt Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Cluster of Excellence Science of Intelligence, Technische Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- NeuroMI - Milan Center for Neuroscience, Milan, Italy
| | - Jean-Baptiste Poline
- McConnell Brain Imaging Centre, The Neuro (Montreal Neurological Institute-Hospital), Faculty of Medicine, McGill University, Montreal, Quebec, Canada
- Henry H. Wheeler, Jr. Brain Imaging Center, Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, USA
| | - Yanina Prystauka
- Department of Psychological Sciences, University of Connecticut, Storrs, CT, USA
- Brain Imaging Research Center, University of Connecticut, Storrs, CT, USA
- Connecticut Institute for the Brain and Cognitive Sciences, University of Connecticut, Storrs, CT, USA
| | - Shruti Ray
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA
| | | | - Richard C Reynolds
- Scientific and Statistical Computing Core, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
| | - Emiliano Ricciardi
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Jenny R Rieck
- Rotman Research Institute, Baycrest Health Sciences Centre, Toronto, Ontario, Canada
| | - Anais M Rodriguez-Thompson
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Anthony Romyn
- Department of Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Taylor Salo
- Department of Psychology, Florida International University, Miami, FL, USA
| | - Gregory R Samanez-Larkin
- Center for Cognitive Neuroscience, Duke University, Durham, NC, USA
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Emilio Sanz-Morales
- Laboratorio de Análisis de Imagen Médica y Biometría (LAIMBIO), Universidad Rey Juan Carlos, Madrid, Spain
| | | | - Douglas H Schultz
- Department of Psychology, University of Nebraska-Lincoln, Lincoln, NE, USA
- Center for Brain, Biology and Behavior, University of Nebraska-Lincoln, Lincoln, NE, USA
| | - Qiang Shen
- School of Management, Zhejiang University of Technology, Hangzhou, China
- Institute of Neuromanagement, Zhejiang University of Technology, Hangzhou, China
| | - Margaret A Sheridan
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jennifer A Silvers
- Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
| | - Kenny Skagerlund
- Department of Behavioural Sciences and Learning, Linköping University, Linköping, Sweden
- Center for Social and Affective Neuroscience, Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
| | - Alec Smith
- Department of Economics, Virginia Tech, Blacksburg, VA, USA
- School of Neuroscience, Virginia Tech, Blacksburg, VA, USA
| | - David V Smith
- Department of Psychology, Temple University, Philadelphia, PA, USA
| | | | - Simon R Steinkamp
- Institute of Neuroscience and Medicine, Cognitive Neuroscience (INM-3), Research Centre Jülich, Jülich, Germany
| | - Sarah M Tashjian
- Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
| | | | - John N Thorp
- Department of Psychology, Columbia University, New York, NY, USA
| | - Gustav Tinghög
- Department of Management and Engineering, Linköping University, Linköping, Sweden
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Loreen Tisdall
- Department of Psychology, Stanford University, Stanford, CA, USA
- Center for Cognitive and Decision Sciences, University of Basel, Basel, Switzerland
| | - Steven H Tompson
- US CCDC Army Research Laboratory, Human Research and Engineering Directorate, Aberdeen Proving Ground, MD, USA
| | - Claudio Toro-Serey
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
- Center for Systems Neuroscience, Boston University, Boston, MA, USA
| | | | - Leonardo Tozzi
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Vuong Truong
- Graduate Institute of Mind, Brain and Consciousness, Taipei Medical University, Taipei, Taiwan
- Brain and Consciousness Research Centre, TMU-ShuangHo Hospital, New Taipei City, Taiwan
| | - Luca Turella
- Center for Mind/Brain Sciences - CIMeC, University of Trento, Rovereto, Italy
| | - Anna E van 't Veer
- Methodology and Statistics Unit, Institute of Psychology, Leiden University, Leiden, The Netherlands
| | - Tom Verguts
- Department of Experimental Psychology, Ghent University, Ghent, Belgium
| | - Jean M Vettel
- US Combat Capabilities Development Command Army Research Laboratory, Aberdeen, MD, USA
- University of California Santa Barbara, Santa Barbara, CA, USA
- University of Pennsylvania, Philadelphia, PA, USA
| | - Sagana Vijayarajah
- Department of Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Khoi Vo
- Center for Cognitive Neuroscience, Duke University, Durham, NC, USA
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Matthew B Wall
- Invicro, London, UK
- Faculty of Medicine, Imperial College London, London, UK
- Clinical Psychopharmacology Unit, University College London, London, UK
| | - Wouter D Weeda
- Methodology and Statistics Unit, Institute of Psychology, Leiden University, Leiden, The Netherlands
| | - Susanne Weis
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - David J White
- Centre for Human Psychopharmacology, Swinburne University, Hawthorn, Victoria, Australia
| | - David Wisniewski
- Department of Experimental Psychology, Ghent University, Ghent, Belgium
| | - Alba Xifra-Porxas
- Graduate Program in Biological and Biomedical Engineering, McGill University, Montreal, Quebec, Canada
| | - Emily A Yearling
- Department of Psychological Sciences, University of Connecticut, Storrs, CT, USA
- Brain Imaging Research Center, University of Connecticut, Storrs, CT, USA
- Connecticut Institute for the Brain and Cognitive Sciences, University of Connecticut, Storrs, CT, USA
| | - Sangsuk Yoon
- Department of Management and Marketing, School of Business, University of Dayton, Dayton, OH, USA
| | - Rui Yuan
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Kenneth S L Yuen
- Leibniz-Institut für Resilienzforschung (LIR), Mainz, Germany
- Neuroimaging Center (NIC), Focus Program Translational Neurosciences (FTN), Johannes Gutenberg University Medical Center Mainz, Mainz, Germany
| | - Lei Zhang
- Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria
| | - Xu Zhang
- Brain Imaging Research Center, University of Connecticut, Storrs, CT, USA
- Connecticut Institute for the Brain and Cognitive Sciences, University of Connecticut, Storrs, CT, USA
- Biomedical Engineering Department, University of Connecticut, Storrs, CT, USA
| | - Joshua E Zosky
- Department of Psychology, University of Nebraska-Lincoln, Lincoln, NE, USA
- Center for Brain, Biology and Behavior, University of Nebraska-Lincoln, Lincoln, NE, USA
| | - Thomas E Nichols
- Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
| | | | - Tom Schonberg
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.
- Department of Neurobiology, The George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.
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Avvenuti G, Leo A, Cecchetti L, Franco MF, Travis F, Caramella D, Bernardi G, Ricciardi E, Pietrini P. Reductions in perceived stress following Transcendental Meditation practice are associated with increased brain regional connectivity at rest. Brain Cogn 2020; 139:105517. [PMID: 31945602 DOI: 10.1016/j.bandc.2020.105517] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Revised: 12/17/2019] [Accepted: 01/06/2020] [Indexed: 01/08/2023]
Abstract
Transcendental Meditation (TM) is defined as a mental process of transcending using a silent mantra. Previous work showed that relatively brief period of TM practice leads to decreases in stress and anxiety. However, whether these changes are subserved by specific morpho-functional brain modifications (as observed in other meditation techniques) is still unclear. Using a longitudinal design, we combined psychometric questionnaires, structural and resting-state functional magnetic resonance imaging (RS-fMRI) to investigate the potential brain modifications underlying the psychological effects of TM. The final sample included 19 naïve subjects instructed to complete two daily 20-min TM sessions, and 15 volunteers in the control group. Both groups were evaluated at recruitment (T0) and after 3 months (T1). At T1, only meditators showed a decrease in perceived anxiety and stress (t(18) = 2.53, p = 0.02), which correlated negatively with T1-T0 changes in functional connectivity among posterior cingulate cortex (PCC), precuneus and left superior parietal lobule. Additionally, TM practice was associated with increased connectivity between PCC and right insula, likely reflecting changes in interoceptive awareness. No structural changes were observed in meditators or control subjects. These preliminary findings indicate that beneficial effects of TM may be mediated by functional brain changes that take place after a short practice period of 3 months.
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Affiliation(s)
- Giulia Avvenuti
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Andrea Leo
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Luca Cecchetti
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy
| | | | | | - Davide Caramella
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Giulio Bernardi
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Emiliano Ricciardi
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Pietro Pietrini
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy.
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Costagli M, Lancione M, Cecchetti L, Pietrini P, Cosottini M, Ricciardi E, Tosetti M. Quantitative Susceptibility Mapping of Brain Function During Auditory Stimulation. IEEE Trans Radiat Plasma Med Sci 2019. [DOI: 10.1109/trpms.2019.2894262] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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20
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Imperatori LS, Betta M, Cecchetti L, Canales-Johnson A, Ricciardi E, Siclari F, Pietrini P, Chennu S, Bernardi G. EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions. Sci Rep 2019; 9:8894. [PMID: 31222021 PMCID: PMC6586889 DOI: 10.1038/s41598-019-45289-7] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2019] [Accepted: 06/03/2019] [Indexed: 12/03/2022] Open
Abstract
The weighted Phase Lag Index (wPLI) and the weighted Symbolic Mutual Information (wSMI) represent two robust and widely used methods for MEG/EEG functional connectivity estimation. Interestingly, both methods have been shown to detect relative alterations of brain functional connectivity in conditions associated with changes in the level of consciousness, such as following severe brain injury or under anaesthesia. Despite these promising findings, it was unclear whether wPLI and wSMI may account for distinct or similar types of functional interactions. Using simulated high-density (hd-)EEG data, we demonstrate that, while wPLI has high sensitivity for couplings presenting a mixture of linear and nonlinear interdependencies, only wSMI can detect purely nonlinear interaction dynamics. Moreover, we evaluated the potential impact of these differences on real experimental data by computing wPLI and wSMI connectivity in hd-EEG recordings of 12 healthy adults during wakefulness and deep (N3-)sleep, characterised by different levels of consciousness. In line with the simulation-based findings, this analysis revealed that both methods have different sensitivity for changes in brain connectivity across the two vigilance states. Our results indicate that the conjoint use of wPLI and wSMI may represent a powerful tool to study the functional bases of consciousness in physiological and pathological conditions.
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Affiliation(s)
| | - Monica Betta
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Luca Cecchetti
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Andrés Canales-Johnson
- Department of Psychology, University of Cambridge, Cambridge, United Kingdom
- Center for Social and Cognitive Neuroscience (CSCN), School of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile
- The Neuropsychology and Cognitive Neurosciences Research Center (CINPSI Neurocog), Universidad Católica del Maule, Talca, Chile
| | - Emiliano Ricciardi
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Francesca Siclari
- Center for Investigation and Research on Sleep, Lausanne University Hospital, Lausanne, Switzerland
| | - Pietro Pietrini
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Srivas Chennu
- School of Computing, University of Kent, Chatham Maritime, United Kingdom
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - Giulio Bernardi
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy.
- Center for Investigation and Research on Sleep, Lausanne University Hospital, Lausanne, Switzerland.
- University Hospital of Pisa, Pisa, Italy.
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21
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Tomaiuolo F, Campana S, Cecchetti L, Galli R, Zucco GM, Lasaponara S, Doricchi F. Concomitant recovery from left spatial neglect and inflammatory dysfunction of white-matter pathways in a case of acute disseminated encephalo-myelitis (ADEM). Cortex 2019; 119:231-236. [PMID: 31158559 DOI: 10.1016/j.cortex.2019.04.018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Revised: 02/13/2019] [Accepted: 04/22/2019] [Indexed: 10/26/2022]
Abstract
Spatial neglect is an invalidating neuropsychological syndrome characterized by the inability of paying attention to the side of space contralateral to a unilateral brain damage. Recent studies have suggested that lesion of white-matter pathways plays an important role in producing spatial neglect by causing a widespread functional breakdown of the network of cortical and subcortical structures that regulates orienting of spatial attention. Nonetheless, this conclusion is largely based on the study of patients who suffer combined grey and white matter damage and should be better corroborated by the study of cases with selective or predominant white matter dysfunction. Here, we describe the clinical and MRI follow-up of a patient who suffered left spatial neglect due to inflammatory Acute Disseminated Encephalo-Myelitis (ADEM) that affected the white matter. Recovery from neglect was matched with recovery from inflammatory white-matter dysfunction, despite a concomitant and progressive increase in cortical atrophy and ventricular dilatation. These findings confirm the role of white matter lesion/dysfunction in the pathogenesis of left spatial neglect.
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Affiliation(s)
| | - Serena Campana
- Unità Gravi Cerebrolesioni Acquisite, Auxilium Vitae Volterra, Pisa, Italy; La Sapienza University, Rome, Italy
| | - Luca Cecchetti
- MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Rosita Galli
- Unità Gravi Cerebrolesioni Acquisite, Auxilium Vitae Volterra, Pisa, Italy; U.O.C. Neurologia-Neurofisiopatologia, Italy
| | - Gesualdo M Zucco
- Dipartimento di Psicologia Generale, Università di Padova, Italy
| | - Stefano Lasaponara
- La Sapienza University, Rome, Italy; IRCCS "Fondazione Santa Lucia", Rome, Italy
| | - Fabrizio Doricchi
- La Sapienza University, Rome, Italy; IRCCS "Fondazione Santa Lucia", Rome, Italy
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22
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Papale P, Betta M, Handjaras G, Malfatti G, Cecchetti L, Rampinini A, Pietrini P, Ricciardi E, Turella L, Leo A. Common spatiotemporal processing of visual features shapes object representation. Sci Rep 2019; 9:7601. [PMID: 31110195 PMCID: PMC6527710 DOI: 10.1038/s41598-019-43956-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Accepted: 04/25/2019] [Indexed: 02/02/2023] Open
Abstract
Biological vision relies on representations of the physical world at different levels of complexity. Relevant features span from simple low-level properties, as contrast and spatial frequencies, to object-based attributes, as shape and category. However, how these features are integrated into coherent percepts is still debated. Moreover, these dimensions often share common biases: for instance, stimuli from the same category (e.g., tools) may have similar shapes. Here, using magnetoencephalography, we revealed the temporal dynamics of feature processing in human subjects attending to objects from six semantic categories. By employing Relative Weights Analysis, we mitigated collinearity between model-based descriptions of stimuli and showed that low-level properties (contrast and spatial frequencies), shape (medial-axis) and category are represented within the same spatial locations early in time: 100–150 ms after stimulus onset. This fast and overlapping processing may result from independent parallel computations, with categorical representation emerging later than the onset of low-level feature processing, yet before shape coding. Categorical information is represented both before and after shape, suggesting a role for this feature in the refinement of categorical matching.
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Affiliation(s)
- Paolo Papale
- Momilab, IMT School for Advanced Studies Lucca, 55100, Lucca, Italy
| | - Monica Betta
- Momilab, IMT School for Advanced Studies Lucca, 55100, Lucca, Italy
| | | | - Giulia Malfatti
- Center for Mind/Brain Sciences (CIMeC), University of Trento, 38068, Trento, Italy
| | - Luca Cecchetti
- Momilab, IMT School for Advanced Studies Lucca, 55100, Lucca, Italy
| | | | - Pietro Pietrini
- Momilab, IMT School for Advanced Studies Lucca, 55100, Lucca, Italy
| | | | - Luca Turella
- Center for Mind/Brain Sciences (CIMeC), University of Trento, 38068, Trento, Italy
| | - Andrea Leo
- Momilab, IMT School for Advanced Studies Lucca, 55100, Lucca, Italy.
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23
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Gentili C, Messerotti Benvenuti S, Lettieri G, Costa C, Cecchetti L. ROI and phobias: The effect of ROI approach on an ALE meta-analysis of specific phobias. Hum Brain Mapp 2019; 40:1814-1828. [PMID: 30548734 PMCID: PMC6865604 DOI: 10.1002/hbm.24492] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2018] [Revised: 11/23/2018] [Accepted: 11/28/2018] [Indexed: 12/22/2022] Open
Abstract
About 90% of fMRI findings on specific phobias (SP) include analysis of region of interest (ROI). This approach characterized by higher sensitivity may produce inflated results, particularly when findings are aggregated in meta-analytic maps. Here, we conducted a systematic review and activation likelihood estimation (ALE) meta-analysis on SP, testing the impact of the inclusion of ROI-based studies. ALE meta-analyses were carried out either including ROI-based results or focusing on whole-brain voxelwise studies exclusively. To assess the risk of bias in the neuroimaging field, we modified the Newcastle-Ottawa Scale (NOS) and measured the reliability of fMRI findings. Of the 31 selected investigations (564 patients and 485 controls) one-third did not motivate ROI selection: five studies did not report an explicit rationale, whereas four did not cite any specific reference in this regard. Analyses including ROI-based studies revealed differences between phobics and healthy subjects in several regions of the limbic circuit. However, when focusing on whole-brain analysis, only the anterior midcingulate cortex differentiated SP from controls. Notably, 13 studies were labeled with low risk of bias according to the adapted NOS. The inclusion of ROI-based results artificially inflates group differences in fMRI meta-analyses. Moreover, a priori, well-motivated selection of ROIs is desirable to improve quality and reproducibility in SP neuroimaging studies. Lastly, the use of modified NOS may represent a valuable way to assess and evaluate biases in fMRI studies: "low risk" of bias was reported for less than half of the included studies, indicating the need for better practices in fMRI.
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Affiliation(s)
- Claudio Gentili
- Department of General PsychologyUniversity of PadovaPadovaItaly
| | | | | | - Cristiano Costa
- Department of General PsychologyUniversity of PadovaPadovaItaly
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Rampinini AC, Handjaras G, Leo A, Cecchetti L, Betta M, Marotta G, Ricciardi E, Pietrini P. Formant Space Reconstruction From Brain Activity in Frontal and Temporal Regions Coding for Heard Vowels. Front Hum Neurosci 2019; 13:32. [PMID: 30837851 PMCID: PMC6383050 DOI: 10.3389/fnhum.2019.00032] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Accepted: 01/21/2019] [Indexed: 11/29/2022] Open
Abstract
Classical studies have isolated a distributed network of temporal and frontal areas engaged in the neural representation of speech perception and production. With modern literature arguing against unique roles for these cortical regions, different theories have favored either neural code-sharing or cortical space-sharing, thus trying to explain the intertwined spatial and functional organization of motor and acoustic components across the fronto-temporal cortical network. In this context, the focus of attention has recently shifted toward specific model fitting, aimed at motor and/or acoustic space reconstruction in brain activity within the language network. Here, we tested a model based on acoustic properties (formants), and one based on motor properties (articulation parameters), where model-free decoding of evoked fMRI activity during perception, imagery, and production of vowels had been successful. Results revealed that phonological information organizes around formant structure during the perception of vowels; interestingly, such a model was reconstructed in a broad temporal region, outside of the primary auditory cortex, but also in the pars triangularis of the left inferior frontal gyrus. Conversely, articulatory features were not associated with brain activity in these regions. Overall, our results call for a degree of interdependence based on acoustic information, between the frontal and temporal ends of the language network.
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Affiliation(s)
| | | | - Andrea Leo
- IMT School for Advanced Studies Lucca, Lucca, Italy
| | | | - Monica Betta
- IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Giovanna Marotta
- Department of Philology, Literature and Linguistics, University of Pisa, Pisa, Italy
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25
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Tramonti C, Imperatori LS, Fanciullacci C, Lamola G, Lettieri G, Bernardi G, Cecchetti L, Ricciardi E, Chisari C. Predictive value of electroencephalography connectivity measures for motor training outcome in multiple sclerosis: an observational longitudinal study. Eur J Phys Rehabil Med 2018; 55:743-753. [PMID: 30370753 DOI: 10.23736/s1973-9087.18.05414-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
BACKGROUND Neurophysiological investigations represent powerful tools to shed light on brain plasticity in multiple sclerosis (MS) patients. AIM We investigated the relationship between electroencephalography (EEG)-based connectivity, the extent of brain lesions and changes in motor performance after an intensive task-oriented circuit training (TOCT). DESIGN Observational longitudinal study. SETTING Outpatients training program. POPULATION Sixteen MS patients (10F; mean age =51.4 years; range: 27-67; mean disease duration =15.1 years; range: 2-26; mean Expanded Disability Status Scale 4.4; range: 3.5-5.5), were included in our study. METHODS MS patients with mild gait impairment were evaluated through functional scales and submitted to TOCT. Resting-state EEG was performed before (T0) and after (T1) rehabilitation. Alpha-band weighted Phase Lag Index (wPLI) and broadband weighted Symbolic Mutual Information (wSMI) connectivity analyses were performed. White matter lesion load was measured using MRI prior to the TOCT. Neurophysiological and structural parameters were then related to behavioral changes. RESULTS Dynamic Gait Index significantly improved after TOCT (F(1,14) =13.10, P=0.003). Moreover, the interaction between TOCT and age was observed for changes in Timed Up and Go (TUG) performance (F(1,14) = 7.75, P=0.015), indicating that older patients only benefited in this measure. Regarding the relationship between EEG connectivity and TOCT outcome, we observed positive correlations between changes in TUG and strength (P=0.017) and efficiency (Pone-tail =0.029) of alpha-band wPLI connectivity at T0. Such correlation was mainly driven by antero-posterior regional interactions (P=0.038), rather than by inter-hemispheric connectivity (P=0.089). Moreover, we observed a positive correlation between performance improvements and wSMI connectivity at T1 (P=0.001) as well as the difference between T0 and T1 (P=0.005). Lesion load percentage was not related to functional improvement after TOCT (Pone-tail=0.137). CONCLUSIONS Results of the current study demonstrated that baseline alpha-band wPLI connectivity predicts TOCT outcome in MS patients. Moreover, broadband wSMI tracks neural changes that accompany treatment-related variations in motor performance. CLINICAL REHABILITATION IMPACT Our findings suggest that EEG-based connectivity measures may represent a potential tool for customizing rehabilitative management of the disease.
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Affiliation(s)
- Caterina Tramonti
- Unit of Neurorehabilitation, Department of Medical Specialties, University Hospital of Pisa, Pisa, Italy
| | | | - Chiara Fanciullacci
- Unit of Neurorehabilitation, Department of Medical Specialties, University Hospital of Pisa, Pisa, Italy
| | - Giuseppe Lamola
- Unit of Neurorehabilitation, Department of Medical Specialties, University Hospital of Pisa, Pisa, Italy
| | - Giada Lettieri
- MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Giulio Bernardi
- MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy.,University Hospital of Pisa, Pisa, Italy
| | - Luca Cecchetti
- MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | | | - Carmelo Chisari
- Unit of Neurorehabilitation, Department of Medical Specialties, University Hospital of Pisa, Pisa, Italy -
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26
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Benuzzi F, Ballotta D, Handjaras G, Leo A, Papale P, Zucchelli M, Molinari MA, Lui F, Cecchetti L, Ricciardi E, Sartori G, Pietrini P, Nichelli PF. Eight Weddings and Six Funerals: An fMRI Study on Autobiographical Memories. Front Behav Neurosci 2018; 12:212. [PMID: 30279649 PMCID: PMC6153347 DOI: 10.3389/fnbeh.2018.00212] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Accepted: 08/27/2018] [Indexed: 12/19/2022] Open
Abstract
“Autobiographical memory” (AM) refers to remote memories from one's own life. Previous neuroimaging studies have highlighted that voluntary retrieval processes from AM involve different forms of memory and cognitive functions. Thus, a complex and widespread brain functional network has been found to support AM. The present functional magnetic resonance imaging (fMRI) study used a multivariate approach to determine whether neural activity within the AM circuit would recognize memories of real autobiographical events, and to evaluate individual differences in the recruitment of this network. Fourteen right-handed females took part in the study. During scanning, subjects were presented with sentences representing a detail of a highly emotional real event (positive or negative) and were asked to indicate whether the sentence described something that had or had not really happened to them. Group analysis showed a set of cortical areas able to discriminate the truthfulness of the recalled events: medial prefrontal cortex, posterior cingulate/retrosplenial cortex, precuneus, bilateral angular, superior frontal gyri, and early visual cortical areas. Single-subject results showed that the decoding occurred at different time points. No differences were found between recalling a positive or a negative event. Our results show that the entire AM network is engaged in monitoring the veracity of AMs. This process is not affected by the emotional valence of the experience but rather by individual differences in cognitive strategies used to retrieve AMs.
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Affiliation(s)
- Francesca Benuzzi
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.,Center for Neurosciences and Neurotechnology, University of Modena and Reggio Emilia, Modena, Italy
| | - Daniela Ballotta
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Giacomo Handjaras
- Molecular Mind Lab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Andrea Leo
- Molecular Mind Lab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Paolo Papale
- Molecular Mind Lab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | | | | | - Fausta Lui
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.,Center for Neurosciences and Neurotechnology, University of Modena and Reggio Emilia, Modena, Italy
| | - Luca Cecchetti
- Molecular Mind Lab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | | | | | - Pietro Pietrini
- Molecular Mind Lab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Paolo Frigio Nichelli
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.,Center for Neurosciences and Neurotechnology, University of Modena and Reggio Emilia, Modena, Italy.,Azienda Unità Sanitaria Locale di Modena, Modena, Italy
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27
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Lancione M, Lettieri G, Handjaras G, Costagli M, Pietrini P, Cecchetti L, Ricciardi E. Fine-grained tonotopic architecture is retrieved from resting state connectivity in the auditory cortex. Int J Psychophysiol 2018. [DOI: 10.1016/j.ijpsycho.2018.07.481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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28
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Cecchetti L. Disorders of Consciousness: New insights on clinical evaluation and neural correlates. Int J Psychophysiol 2018. [DOI: 10.1016/j.ijpsycho.2018.07.191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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29
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Imperatori L, Fanciullacci C, Tramonti C, Lettieri G, Cecchetti L, Bernardi G, Ricciardi E, Chisari C. Predictive Value of EEG-based Functional Connectivity Measures on the Outcome of Rehabilitation in Multiple Sclerosis Patients. Int J Psychophysiol 2018. [DOI: 10.1016/j.ijpsycho.2018.07.480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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30
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Garbarini F, Cecchetti L, Bruno V, Mastropasqua A, Fossataro C, Massazza G, Sacco K, Valentini MC, Ricciardi E, Berti A. To Move or Not to Move? Functional Role of Ventral Premotor Cortex in Motor Monitoring During Limb Immobilization. Cereb Cortex 2018; 29:273-282. [DOI: 10.1093/cercor/bhy134] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Accepted: 05/14/2018] [Indexed: 11/13/2022] Open
Affiliation(s)
| | - Luca Cecchetti
- MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy
| | | | - Angela Mastropasqua
- German Center for Vertigo and Balance Disorders, Klinikum Grosshadern, LMU Munich, Germany
| | | | - Giuseppe Massazza
- Physical Medicine and Rehabilitation, Department of Surgical Sciences, University of Turin, Italy
| | - Katiuscia Sacco
- Imaging and Plasticity Research Group, Psychology Department, University of Turin, Turin, Italy
- Department of Neuroradiology, Azienda Ospedaliera Universitaria Città della Salute e della Scienza, Turin, Italy
| | - Maria Consuelo Valentini
- Department of Neuroradiology, Azienda Ospedaliera Universitaria Città della Salute e della Scienza, Turin, Italy
- Neuroscience Institute of Turin (NIT), Turin, Italy
| | | | - Anna Berti
- Psychology Department, University of Turin, Turin, Italy
- Neuroscience Institute of Turin (NIT), Turin, Italy
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31
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Bruno RM, Stea F, Sicari R, Ghiadoni L, Taddei S, Ungar A, Bonuccelli U, Tognoni G, Cintoli S, Del Turco S, Sbrana S, Gargani L, D’Angelo G, Pratali L, Berardi N, Maffei L, Picano E, Andreassi M, Angelucci A, Baldacci F, Baroncelli L, Begenisic T, Bellinvia P, Biagi L, Bonaccorsi J, Bonanni E, Borghini A, Braschi C, Broccardi M, Caleo M, Carlesi C, Carnicelli L, Cartoni G, Cecchetti L, Cenni M, Ceravolo R, Chico L, Cioni G, Costa M, D’Ascanio P, De Nes M, Di Coscio E, Di Galante M, di Lascio N, Faita F, Falorni I, Faraguna U, Fenu A, Fortunato L, Franco R, Gargiulo R, Giorgi F, Iannarella R, Iofrida C, Kusmic C, Limongi F, Maestri M, Maffei M, Maggi S, Mainardi M, Mammana L, Marabotti A, Mariotti V, Melissari E, Mercuri A, Molinaro S, Narducci R, Navarra T, Noale M, Pagni C, Palumbo S, Pasquariello R, Pellegrini S, Pietrini P, Pizzorusso T, Poli A, Retico A, Ricciardi E, Rota G, Sale A, Scabia G, Scali M, Scelfo D, Siciliano G, Tonacci A, Tosetti M, Turchi S, Volpi L. Vascular Function Is Improved After an Environmental Enrichment Program. Hypertension 2018; 71:1218-1225. [DOI: 10.1161/hypertensionaha.117.10066] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2017] [Revised: 08/09/2017] [Accepted: 03/15/2018] [Indexed: 11/16/2022]
Abstract
Environmental enrichment may slow cognitive decay possibly acting through an improvement in vascular function. Aim of the study was to assess the effects of a 7-month cognitive, social, and physical training program on cognitive and vascular function in patients with mild cognitive impairment. In a single-center, randomized, parallel-group study, 113 patients (age, 65–89 years) were randomized to multidomain training (n=55) or usual care (n=58). All participants underwent neuropsychological tests and vascular evaluation, including brachial artery flow-mediated dilation, carotid–femoral pulse wave velocity, carotid distensibility, and assessment of circulating hematopoietic CD34+ and endothelial progenitor cells. At study entry, an age-matched control group (n=45) was also studied. Compared with controls, patients had at study entry a reduced flow-mediated dilation (2.97±2.14% versus 3.73±2.06%;
P
=0.03) and hyperemic stimulus (shear rate area under the curve, 19.1±15.7 versus 25.7±15.1×10
−3
;
P
=0.009); only the latter remained significant after adjustment for confounders (
P
=0.03). Training improved Alzheimer disease assessment scale cognitive (training, 14.0±4.8 to 13.1±5.5; nontraining, 12.1±3.9 to 13.2±4.8;
P
for interaction visit×training=0.02), flow-mediated dilation (2.82±2.19% to 3.40±1.81%, 3.05±2.08% to 2.24±1.59%;
P
=0.006;
P
=0.023 after adjustment for diameter and shear rate area under the curve), and circulating hematopoietic CD34
+
cells and prevented the decline in carotid distensibility (18.4±5.3 to 20.0±6.6, 23.9±11.0 to 19.5±7.1 Pa
−1
;
P
=0.005). The only clinical predictor of improvement of cognitive function after training was established hypertension. There was no correlation between changes in measures of cognitive and vascular function. In conclusion, a multidomain training program slows cognitive decline, especially in hypertensive individuals. This effect is accompanied by improved systemic endothelial function, mobilization of progenitor CD34
+
cells, and preserved carotid distensibility.
Clinical Trial Registration—
URL:
http://www.clinicaltrials.gov
. Unique identifier: NCT01725178.
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Affiliation(s)
- Rosa Maria Bruno
- From the Department of Clinical and Experimental Medicine, University of Pisa, Italy (R.M.B., F.S., L.G., S.T., U.B.)
- Institute of Clinical Physiology of the National Research Council (CNR), Pisa, Italy (R.M.B., F.S., R.S., S.D.T., S.S., L.G., G.D., L.P., E.P.)
| | - Francesco Stea
- From the Department of Clinical and Experimental Medicine, University of Pisa, Italy (R.M.B., F.S., L.G., S.T., U.B.)
- Institute of Clinical Physiology of the National Research Council (CNR), Pisa, Italy (R.M.B., F.S., R.S., S.D.T., S.S., L.G., G.D., L.P., E.P.)
| | - Rosa Sicari
- Institute of Clinical Physiology of the National Research Council (CNR), Pisa, Italy (R.M.B., F.S., R.S., S.D.T., S.S., L.G., G.D., L.P., E.P.)
| | - Lorenzo Ghiadoni
- From the Department of Clinical and Experimental Medicine, University of Pisa, Italy (R.M.B., F.S., L.G., S.T., U.B.)
| | - Stefano Taddei
- From the Department of Clinical and Experimental Medicine, University of Pisa, Italy (R.M.B., F.S., L.G., S.T., U.B.)
| | | | - Ubaldo Bonuccelli
- From the Department of Clinical and Experimental Medicine, University of Pisa, Italy (R.M.B., F.S., L.G., S.T., U.B.)
| | - Gloria Tognoni
- Azienda Ospedaliero Universitaria Careggi, University of Florence, Italy (A.U.); Azienda Ospedaliero Universitaria Pisana, Italy (G.T., S.C.)
| | - Simona Cintoli
- Azienda Ospedaliero Universitaria Careggi, University of Florence, Italy (A.U.); Azienda Ospedaliero Universitaria Pisana, Italy (G.T., S.C.)
| | - Serena Del Turco
- Institute of Clinical Physiology of the National Research Council (CNR), Pisa, Italy (R.M.B., F.S., R.S., S.D.T., S.S., L.G., G.D., L.P., E.P.)
| | - Silverio Sbrana
- Institute of Clinical Physiology of the National Research Council (CNR), Pisa, Italy (R.M.B., F.S., R.S., S.D.T., S.S., L.G., G.D., L.P., E.P.)
| | - Luna Gargani
- Institute of Clinical Physiology of the National Research Council (CNR), Pisa, Italy (R.M.B., F.S., R.S., S.D.T., S.S., L.G., G.D., L.P., E.P.)
| | - Gennaro D’Angelo
- Institute of Clinical Physiology of the National Research Council (CNR), Pisa, Italy (R.M.B., F.S., R.S., S.D.T., S.S., L.G., G.D., L.P., E.P.)
| | - Lorenza Pratali
- Institute of Clinical Physiology of the National Research Council (CNR), Pisa, Italy (R.M.B., F.S., R.S., S.D.T., S.S., L.G., G.D., L.P., E.P.)
| | | | | | - Eugenio Picano
- Institute of Clinical Physiology of the National Research Council (CNR), Pisa, Italy (R.M.B., F.S., R.S., S.D.T., S.S., L.G., G.D., L.P., E.P.)
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32
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Papale P, Leo A, Cecchetti L, Handjaras G, Kay KN, Pietrini P, Ricciardi E. Foreground-Background Segmentation Revealed during Natural Image Viewing. eNeuro 2018; 5:ENEURO.0075-18.2018. [PMID: 29951579 PMCID: PMC6019392 DOI: 10.1523/eneuro.0075-18.2018] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2018] [Revised: 05/15/2018] [Accepted: 05/15/2018] [Indexed: 11/21/2022] Open
Abstract
One of the major challenges in visual neuroscience is represented by foreground-background segmentation. Data from nonhuman primates show that segmentation leads to two distinct, but associated processes: the enhancement of neural activity during figure processing (i.e., foreground enhancement) and the suppression of background-related activity (i.e., background suppression). To study foreground-background segmentation in ecological conditions, we introduce a novel method based on parametric modulation of low-level image properties followed by application of simple computational image-processing models. By correlating the outcome of this procedure with human fMRI activity, measured during passive viewing of 334 natural images, we produced easily interpretable "correlation images" from visual populations. Results show evidence of foreground enhancement in all tested regions, from V1 to lateral occipital complex (LOC), while background suppression occurs in V4 and LOC only. Correlation images derived from V4 and LOC revealed a preserved spatial resolution of foreground textures, indicating a richer representation of the salient part of natural images, rather than a simplistic model of object shape. Our results indicate that scene segmentation occurs during natural viewing, even when individuals are not required to perform any particular task.
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Affiliation(s)
- Paolo Papale
- Molecular Mind Lab, IMT School for Advanced Studies Lucca, Lucca, 55100 Italy
| | - Andrea Leo
- Molecular Mind Lab, IMT School for Advanced Studies Lucca, Lucca, 55100 Italy
| | - Luca Cecchetti
- Molecular Mind Lab, IMT School for Advanced Studies Lucca, Lucca, 55100 Italy
| | - Giacomo Handjaras
- Molecular Mind Lab, IMT School for Advanced Studies Lucca, Lucca, 55100 Italy
| | - Kendrick N. Kay
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Twin Cities, Minneapolis, MN, 55455
| | - Pietro Pietrini
- Molecular Mind Lab, IMT School for Advanced Studies Lucca, Lucca, 55100 Italy
| | - Emiliano Ricciardi
- Molecular Mind Lab, IMT School for Advanced Studies Lucca, Lucca, 55100 Italy
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33
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Rampinini AC, Handjaras G, Leo A, Cecchetti L, Ricciardi E, Marotta G, Pietrini P. Functional and spatial segregation within the inferior frontal and superior temporal cortices during listening, articulation imagery, and production of vowels. Sci Rep 2017; 7:17029. [PMID: 29208951 PMCID: PMC5717247 DOI: 10.1038/s41598-017-17314-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2017] [Accepted: 11/24/2017] [Indexed: 11/09/2022] Open
Abstract
Classical models of language localize speech perception in the left superior temporal and production in the inferior frontal cortex. Nonetheless, neuropsychological, structural and functional studies have questioned such subdivision, suggesting an interwoven organization of the speech function within these cortices. We tested whether sub-regions within frontal and temporal speech-related areas retain specific phonological representations during both perception and production. Using functional magnetic resonance imaging and multivoxel pattern analysis, we showed functional and spatial segregation across the left fronto-temporal cortex during listening, imagery and production of vowels. In accordance with classical models of language and evidence from functional studies, the inferior frontal and superior temporal cortices discriminated among perceived and produced vowels respectively, also engaging in the non-classical, alternative function - i.e. perception in the inferior frontal and production in the superior temporal cortex. Crucially, though, contiguous and non-overlapping sub-regions within these hubs performed either the classical or non-classical function, the latter also representing non-linguistic sounds (i.e., pure tones). Extending previous results and in line with integration theories, our findings not only demonstrate that sensitivity to speech listening exists in production-related regions and vice versa, but they also suggest that the nature of such interwoven organisation is built upon low-level perception.
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Affiliation(s)
| | | | - Andrea Leo
- IMT School for Advanced Studies, Lucca, 55100, Italy
| | | | | | - Giovanna Marotta
- Department of Philology, Literature and Linguistics, University of Pisa, Pisa, 56100, Italy
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Danti S, Handjaras G, Cecchetti L, Beuzeron-Mangina H, Pietrini P, Ricciardi E. Different levels of visual perceptual skills are associated with specific modifications in functional connectivity and global efficiency. Int J Psychophysiol 2017; 123:127-135. [PMID: 28987780 DOI: 10.1016/j.ijpsycho.2017.10.002] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2017] [Revised: 09/28/2017] [Accepted: 10/02/2017] [Indexed: 11/19/2022]
Abstract
The disembedding ability (i.e., the ability to identify a simple masked figure within a complex one) depends on attentional mechanisms, executive functions and working memory. Recent cognitive models ascribed different levels of disembedding task performance to the efficiency of the subtended mental processes engaged during visuo-spatial perception. Here we aimed at assessing whether different levels of the disembedding ability were associated to the functional signatures of neural efficiency, defined as a specific modulation in response magnitude and functional connectivity strength in task-related areas. Consequently, brain activity evoked by a visual task involving the disembedding ability was acquired using functional magnetic resonance imaging (fMRI) in a sample of 23 right-handed healthy individuals. Brain activity was analyzed at different levels of information processing, from local responses to connectivity interactions between brain nodes, as far as to network topological properties. All different levels of information processing were significantly modulated by individual behavioral performance. Specifically, single voxel response magnitude, connectivity strength of the right intrahemispheric and interhemispheric edges, and graph measures (i.e., local and global efficiency) were negatively associated to behavioral performance. Altogether, these results indicate that efficiency during a disembedding task cannot be merely attributed to a reduced neural recruitment of task-specific regions, but can be better characterized as an enhanced functional hemispherical asymmetry.
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Affiliation(s)
- Sabrina Danti
- Laboratory of Clinical Biochemistry and Molecular Biology, Dept. Surgical, Medical, Molecular Pathology and Critical Care, University of Pisa, Pisa, Italy
| | | | | | - Helen Beuzeron-Mangina
- Cognitive Psychophysiology Laboratory, Montreal Research and Treatment Center for Learning Abilities and Disabilities, Montreal, Quebec, Canada
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35
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Cecchetti L, Kupers R, Ptito M, Pietrini P, Ricciardi E. Are Supramodality and Cross-Modal Plasticity the Yin and Yang of Brain Development? From Blindness to Rehabilitation. Front Syst Neurosci 2016; 10:89. [PMID: 27877116 PMCID: PMC5099160 DOI: 10.3389/fnsys.2016.00089] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2016] [Accepted: 10/27/2016] [Indexed: 12/20/2022] Open
Abstract
Research in blind individuals has primarily focused for a long time on the brain plastic reorganization that occurs in early visual areas. Only more recently, scientists have developed innovative strategies to understand to what extent vision is truly a mandatory prerequisite for the brain's fine morphological architecture to develop and function. As a whole, the studies conducted to date in sighted and congenitally blind individuals have provided ample evidence that several "visual" cortical areas develop independently from visual experience and do process information content regardless of the sensory modality through which a particular stimulus is conveyed: a property named supramodality. At the same time, lack of vision leads to a structural and functional reorganization within "visual" brain areas, a phenomenon known as cross-modal plasticity. Cross-modal recruitment of the occipital cortex in visually deprived individuals represents an adaptative compensatory mechanism that mediates processing of non-visual inputs. Supramodality and cross-modal plasticity appears to be the "yin and yang" of brain development: supramodal is what takes place despite the lack of vision, whereas cross-modal is what happens because of lack of vision. Here we provide a critical overview of the research in this field and discuss the implications that these novel findings have for the development of educative/rehabilitation approaches and sensory substitution devices (SSDs) in sensory-impaired individuals.
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Affiliation(s)
- Luca Cecchetti
- Department of Surgical, Medical, Molecular Pathology and Critical Care, University of PisaPisa, Italy; Clinical Psychology Branch, Pisa University HospitalPisa, Italy
| | - Ron Kupers
- BRAINlab, Department of Neuroscience and Pharmacology, Panum Institute, University of CopenhagenCopenhagen, Denmark; Department of Radiology and Biomedical Imaging, Yale UniversityNew Haven, CT, USA
| | - Maurice Ptito
- Laboratory of Neuropsychiatry, Psychiatric Centre CopenhagenCopenhagen, Denmark; School of Optometry, Université de MontréalMontréal, QC, Canada
| | | | - Emiliano Ricciardi
- Department of Surgical, Medical, Molecular Pathology and Critical Care, University of PisaPisa, Italy; MOMILab, IMT School for Advanced Studies LuccaLucca, Italy
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Handjaras G, Ricciardi E, Leo A, Lenci A, Cecchetti L, Cosottini M, Marotta G, Pietrini P. How concepts are encoded in the human brain: A modality independent, category-based cortical organization of semantic knowledge. Neuroimage 2016; 135:232-42. [PMID: 27132545 DOI: 10.1016/j.neuroimage.2016.04.063] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2015] [Revised: 02/12/2016] [Accepted: 04/26/2016] [Indexed: 11/25/2022] Open
Abstract
How conceptual knowledge is represented in the human brain remains to be determined. To address the differential role of low-level sensory-based and high-level abstract features in semantic processing, we combined behavioral studies of linguistic production and brain activity measures by functional magnetic resonance imaging in sighted and congenitally blind individuals while they performed a property-generation task with concrete nouns from eight categories, presented through visual and/or auditory modalities. Patterns of neural activity within a large semantic cortical network that comprised parahippocampal, lateral occipital, temporo-parieto-occipital and inferior parietal cortices correlated with linguistic production and were independent both from the modality of stimulus presentation (either visual or auditory) and the (lack of) visual experience. In contrast, selected modality-dependent differences were observed only when the analysis was limited to the individual regions within the semantic cortical network. We conclude that conceptual knowledge in the human brain relies on a distributed, modality-independent cortical representation that integrates the partial category and modality specific information retained at a regional level.
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Affiliation(s)
- Giacomo Handjaras
- Dept. Surgical, Medical, Molecular Pathology and Critical Care, University of Pisa, Pisa 56126, Italy
| | - Emiliano Ricciardi
- Dept. Surgical, Medical, Molecular Pathology and Critical Care, University of Pisa, Pisa 56126, Italy
| | - Andrea Leo
- Dept. Surgical, Medical, Molecular Pathology and Critical Care, University of Pisa, Pisa 56126, Italy
| | - Alessandro Lenci
- Department of Philology, Literature, and Linguistics, University of Pisa, Pisa 56126, Italy
| | - Luca Cecchetti
- Dept. Surgical, Medical, Molecular Pathology and Critical Care, University of Pisa, Pisa 56126, Italy
| | | | - Giovanna Marotta
- Department of Philology, Literature, and Linguistics, University of Pisa, Pisa 56126, Italy
| | - Pietro Pietrini
- Dept. Surgical, Medical, Molecular Pathology and Critical Care, University of Pisa, Pisa 56126, Italy; Clinical Psychology Branch, Pisa University Hospital, Pisa 56126, Italy; IMT School for Advanced Studies Lucca, Lucca 55100, Italy.
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Bernardi G, Cecchetti L, Siclari F, Buchmann A, Yu X, Handjaras G, Bellesi M, Ricciardi E, Kecskemeti SR, Riedner BA, Alexander AL, Benca RM, Ghilardi MF, Pietrini P, Cirelli C, Tononi G. Sleep reverts changes in human gray and white matter caused by wake-dependent training. Neuroimage 2016; 129:367-377. [PMID: 26812659 DOI: 10.1016/j.neuroimage.2016.01.020] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2015] [Revised: 01/08/2016] [Accepted: 01/09/2016] [Indexed: 01/25/2023] Open
Abstract
Learning leads to rapid microstructural changes in gray (GM) and white (WM) matter. Do these changes continue to accumulate if task training continues, and can they be reverted by sleep? We addressed these questions by combining structural and diffusion weighted MRI and high-density EEG in 16 subjects studied during the physiological sleep/wake cycle, after 12 h and 24 h of intense practice in two different tasks, and after post-training sleep. Compared to baseline wake, 12 h of training led to a decline in cortical mean diffusivity. The decrease became even more significant after 24 h of task practice combined with sleep deprivation. Prolonged practice also resulted in decreased ventricular volume and increased GM and WM subcortical volumes. All changes reverted after recovery sleep. Moreover, these structural alterations predicted cognitive performance at the individual level, suggesting that sleep's ability to counteract performance deficits is linked to its effects on the brain microstructure. The cellular mechanisms that account for the structural effects of sleep are unknown, but they may be linked to its role in promoting the production of cerebrospinal fluid and the decrease in synapse size and strength, as well as to its recently discovered ability to enhance the extracellular space and the clearance of brain metabolites.
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Affiliation(s)
- Giulio Bernardi
- Dept. of Psychiatry, University of Wisconsin, Madison, WI 53719, USA; Laboratory of Clinical Biochemistry and Molecular Biology, University of Pisa, Pisa 56126, Italy; Clinical Psychology Branch, University of Pisa, AOUP Santa Chiara, Pisa 56126, Italy
| | - Luca Cecchetti
- Laboratory of Clinical Biochemistry and Molecular Biology, University of Pisa, Pisa 56126, Italy; Clinical Psychology Branch, University of Pisa, AOUP Santa Chiara, Pisa 56126, Italy
| | - Francesca Siclari
- Dept. of Psychiatry, University of Wisconsin, Madison, WI 53719, USA
| | - Andreas Buchmann
- Dept. of Psychiatry, University of Wisconsin, Madison, WI 53719, USA
| | - Xiaoqian Yu
- Dept. of Psychiatry, University of Wisconsin, Madison, WI 53719, USA
| | - Giacomo Handjaras
- Laboratory of Clinical Biochemistry and Molecular Biology, University of Pisa, Pisa 56126, Italy; Clinical Psychology Branch, University of Pisa, AOUP Santa Chiara, Pisa 56126, Italy
| | - Michele Bellesi
- Dept. of Psychiatry, University of Wisconsin, Madison, WI 53719, USA
| | - Emiliano Ricciardi
- Laboratory of Clinical Biochemistry and Molecular Biology, University of Pisa, Pisa 56126, Italy; Clinical Psychology Branch, University of Pisa, AOUP Santa Chiara, Pisa 56126, Italy
| | - Steven R Kecskemeti
- Waisman Laboratory for Brain Imaging and Behavior, University of Wisconsin, Madison, WI 53705, USA
| | - Brady A Riedner
- Dept. of Psychiatry, University of Wisconsin, Madison, WI 53719, USA
| | - Andrew L Alexander
- Dept. of Psychiatry, University of Wisconsin, Madison, WI 53719, USA; Waisman Laboratory for Brain Imaging and Behavior, University of Wisconsin, Madison, WI 53705, USA; Dept. of Medical Physics, University of Wisconsin, Madison, WI 53705, USA
| | - Ruth M Benca
- Dept. of Psychiatry, University of Wisconsin, Madison, WI 53719, USA
| | - M Felice Ghilardi
- Dept. of Physiology and Pharmacology, City University of New York Medical School, New York, NY 10031, USA
| | - Pietro Pietrini
- Laboratory of Clinical Biochemistry and Molecular Biology, University of Pisa, Pisa 56126, Italy; Clinical Psychology Branch, University of Pisa, AOUP Santa Chiara, Pisa 56126, Italy; IMT School for Advanced Studies Lucca, Lucca 55100, Italy.
| | - Chiara Cirelli
- Dept. of Psychiatry, University of Wisconsin, Madison, WI 53719, USA.
| | - Giulio Tononi
- Dept. of Psychiatry, University of Wisconsin, Madison, WI 53719, USA.
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Bernardi G, Cecchetti L, Handjaras G, Sani L, Gaglianese A, Ceccarelli R, Franzoni F, Galetta F, Santoro G, Goebel R, Ricciardi E, Pietrini P. It's not all in your car: functional and structural correlates of exceptional driving skills in professional racers. Front Hum Neurosci 2014; 8:888. [PMID: 25426045 PMCID: PMC4227572 DOI: 10.3389/fnhum.2014.00888] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2014] [Accepted: 10/15/2014] [Indexed: 01/29/2023] Open
Abstract
Driving is a complex behavior that requires the integration of multiple cognitive functions. While many studies have investigated brain activity related to driving simulation under distinct conditions, little is known about the brain morphological and functional architecture in professional competitive driving, which requires exceptional motor and navigational skills. Here, 11 professional racing-car drivers and 11 “naïve” volunteers underwent both structural and functional brain magnetic resonance imaging (MRI) scans. Subjects were presented with short movies depicting a Formula One car racing in four different official circuits. Brain activity was assessed in terms of regional response, using an Inter-Subject Correlation (ISC) approach, and regional interactions by mean of functional connectivity. In addition, voxel-based morphometry (VBM) was used to identify specific structural differences between the two groups and potential interactions with functional differences detected by the ISC analysis. Relative to non-experienced drivers, professional drivers showed a more consistent recruitment of motor control and spatial navigation devoted areas, including premotor/motor cortex, striatum, anterior, and posterior cingulate cortex and retrosplenial cortex, precuneus, middle temporal cortex, and parahippocampus. Moreover, some of these brain regions, including the retrosplenial cortex, also had an increased gray matter density in professional car drivers. Furthermore, the retrosplenial cortex, which has been previously associated with the storage of observer-independent spatial maps, revealed a specific correlation with the individual driver's success in official competitions. These findings indicate that the brain functional and structural organization in highly trained racing-car drivers differs from that of subjects with an ordinary driving experience, suggesting that specific anatomo-functional changes may subtend the attainment of exceptional driving performance.
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Affiliation(s)
- Giulio Bernardi
- Laboratory of Clinical Biochemistry and Molecular Biology, Department of Experimental Pathology, Medical Biotechnologies, Infectivology and Epidemiology, University of Pisa Pisa, Italy ; Clinical Psychology Branch, University of Pisa, Azienda Ospedaliero Universitaria Pisana, Santa Chiara Pisa, Italy
| | - Luca Cecchetti
- Laboratory of Clinical Biochemistry and Molecular Biology, Department of Experimental Pathology, Medical Biotechnologies, Infectivology and Epidemiology, University of Pisa Pisa, Italy
| | - Giacomo Handjaras
- Laboratory of Clinical Biochemistry and Molecular Biology, Department of Experimental Pathology, Medical Biotechnologies, Infectivology and Epidemiology, University of Pisa Pisa, Italy
| | - Lorenzo Sani
- Laboratory of Clinical Biochemistry and Molecular Biology, Department of Experimental Pathology, Medical Biotechnologies, Infectivology and Epidemiology, University of Pisa Pisa, Italy ; MRI Laboratory, Fondazione Regione Toscana/Consiglio Nazionale delle Ricerche 'G.Monasterio,' Pisa, Italy
| | - Anna Gaglianese
- Laboratory of Clinical Biochemistry and Molecular Biology, Department of Experimental Pathology, Medical Biotechnologies, Infectivology and Epidemiology, University of Pisa Pisa, Italy
| | | | - Ferdinando Franzoni
- Sport Medicine Unit, Department of Clinical and Sperimental Medicine, University of Pisa, Azienda Ospedaliero Universitaria Pisana, Santa Chiara Pisa, Italy
| | - Fabio Galetta
- Sport Medicine Unit, Department of Clinical and Sperimental Medicine, University of Pisa, Azienda Ospedaliero Universitaria Pisana, Santa Chiara Pisa, Italy
| | - Gino Santoro
- Sport Medicine Unit, Department of Clinical and Sperimental Medicine, University of Pisa, Azienda Ospedaliero Universitaria Pisana, Santa Chiara Pisa, Italy
| | - Rainer Goebel
- Maastricht Brain Imaging Center, Universiteit Maastricht Maastricht, Netherlands
| | - Emiliano Ricciardi
- Laboratory of Clinical Biochemistry and Molecular Biology, Department of Experimental Pathology, Medical Biotechnologies, Infectivology and Epidemiology, University of Pisa Pisa, Italy ; MRI Laboratory, Fondazione Regione Toscana/Consiglio Nazionale delle Ricerche 'G.Monasterio,' Pisa, Italy
| | - Pietro Pietrini
- Laboratory of Clinical Biochemistry and Molecular Biology, Department of Experimental Pathology, Medical Biotechnologies, Infectivology and Epidemiology, University of Pisa Pisa, Italy ; Clinical Psychology Branch, University of Pisa, Azienda Ospedaliero Universitaria Pisana, Santa Chiara Pisa, Italy
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Tomaiuolo F, Bivona U, Lerch JP, Di Paola M, Carlesimo GA, Ciurli P, Matteis M, Cecchetti L, Forcina A, Silvestro D, Azicnuda E, Sabatini U, Di Giacomo D, Caltagirone C, Petrides M, Formisano R. Memory and anatomical change in severe non missile traumatic brain injury: ∼1 vs. ∼8 years follow-up. Brain Res Bull 2012; 87:373-82. [PMID: 22289841 DOI: 10.1016/j.brainresbull.2012.01.008] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2011] [Revised: 01/12/2012] [Accepted: 01/13/2012] [Indexed: 10/14/2022]
Abstract
In previous studies, we investigated a group of subjects who had suffered from a severe non missile traumatic brain injury (nmTBI) without macroscopic focal lesions and we found brain atrophy involving the hippocampus, fornix, corpus callosum, optic chiasm, and optic radiations. Memory test scores correlated mainly with fornix volumes [37,38]. In the present study, we re-examined 11 of these nmTBI subjects approximately 8 yr later. High-spatial resolution T1 weighted magnetic resonance images of the brain (1mm(3)) and standardised memory tests were performed once more in order to compare brain morphology and memory performance originally assessed 3-13 months after head injury (first study) and after 8-10 yr (present study). An overall improvement of memory test performance was demonstrated in the latest assessment, indicating that cognitive recovery in severe nmTBI subjects had not been completed within 3-13 months post-injury. It is notable that the volumes of the fornix and the hippocampus were reduced significantly from normal controls, but these volumes do not differ appreciatively between nmTBI subjects at first (after ∼1 yr) and at second (after ∼8 yr) scans. On the contrary, a clear reduction in the volume of the corpus callosus can be observed after ∼1 yr and a further significant reduction is evident after ∼8 yr, indicating that the neural degeneration in severe nmTBI continues long after the head trauma and relates to specific structures and not to the overall brain.
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Cicchini GM, Arrighi R, Cecchetti L, Giusti M, Burr D. Optimal coding of interval timing in expert drummers, string musicians and non-musical control subjects. J Vis 2011. [DOI: 10.1167/11.11.1229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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Abstract
Platelet-type von Willebrand disease (PT-VWD) is a rare autosomal dominant bleeding disorder which is due to a mutation in the gene encoding for platelet glycoprotein Ibalpha (GPIbalpha) resulting in enhanced affinity for von Willebrand factor (VWF). PT-VWD is often mistakenly diagnosed as type 2B VWD for the similarities between these two conditions. We characterized a new case of PT-VWD and evaluated the usefulness of a flow cytometric assay in the differential diagnosis between PT-VWD (n=1) and type 2B VWD (n=4). The flow cytometric assay was able to highlight the increased affinity of VWF for GPIbalpha as much as did RIPA and to differentiate the two diseases through mixing tests. Genetic analysis revealed a heterozygous point mutation in codon 239 of the GPIbalpha gene leading to a methionine to valine substitution (M239V). Flow cytometry represents a useful tool for the diagnosis of PT-VWD.
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Affiliation(s)
- Silvia Giannini
- Division of Internal and Cardiovascular Medicine, Department of Internal Medicine, University of Perugia, Via E dal Pozzo, 06126 Perugia, Italy
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Momi S, Falcinelli E, Giannini S, Ruggeri L, Cecchetti L, Corazzi T, Libert C, Gresele P. Loss of matrix metalloproteinase 2 in platelets reduces arterial thrombosis in vivo. J Biophys Biochem Cytol 2009. [DOI: 10.1083/jcb1872oia2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
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Momi S, Falcinelli E, Giannini S, Ruggeri L, Cecchetti L, Corazzi T, Libert C, Gresele P. Loss of matrix metalloproteinase 2 in platelets reduces arterial thrombosis in vivo. ACTA ACUST UNITED AC 2009; 206:2365-79. [PMID: 19808257 PMCID: PMC2768852 DOI: 10.1084/jem.20090687] [Citation(s) in RCA: 68] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Platelet activation at a site of vascular injury is essential for the arrest of bleeding; however, excessive platelet activation at a site of arterial damage can result in the unwarranted formation of arterial thrombi, precipitating acute myocardial infarction, or ischemic stroke. Activation of platelets beyond the purpose of hemostasis may occur when substances facilitating thrombus growth and stability accumulate. Human platelets contain matrix metalloproteinase 2 (MMP-2) and release it upon activation. Active MMP-2 amplifies the platelet aggregation response to several agonists by potentiating phosphatidylinositol 3-kinase activation. Using several in vivo thrombosis models, we show that the inactivation of the MMP-2 gene prevented thrombosis induced by weak, but not strong, stimuli in mice but produced only a moderate prolongation of the bleeding time. Moreover, using cross-transfusion experiments and wild-type/MMP-2−/− chimeric mice, we show that it is platelet-derived MMP-2 that facilitates thrombus formation. Finally, we show that platelets activated by a mild vascular damage induce thrombus formation at a downstream arterial injury site by releasing MMP-2. Thus, platelet-derived MMP-2 plays a crucial role in thrombus formation by amplifying the response of platelets to weak activating stimuli. These findings open new possibilities for the prevention of thrombosis by the development of MMP-2 inhibitors.
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Affiliation(s)
- Stefania Momi
- Division of Internal and Cardiovascular Medicine, Department of Internal Medicine, University of Perugia, Perugia 06100, Italy
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Gresele P, Falcinelli E, Giannini S, D'Adamo P, D'Eustacchio A, Corazzi T, Mezzasoma AM, Di Bari F, Guglielmini G, Cecchetti L, Noris P, Balduini CL, Savoia A. Dominant inheritance of a novel integrin beta3 mutation associated with a hereditary macrothrombocytopenia and platelet dysfunction in two Italian families. Haematologica 2009; 94:663-9. [PMID: 19336737 DOI: 10.3324/haematol.2008.002246] [Citation(s) in RCA: 52] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Defects of integrin alpha(IIb)beta(3) are typical of Glanzmann's thrombasthenia, an inherited autosomal recessive bleeding disorder characterized by the failure of platelets to aggregate in response to all physiological agonists, but with no abnormalities in the number or size of platelets. Although large heterogeneity has been described for Glanzmann's thrombasthenia, no family has so far been described as having an autosomal dominant form of this disease. DESIGN AND METHODS We describe two Italian families with moderate thrombocytopenia with large platelets, defective platelet function and moderate/severe mucocutaneous bleeding, transmitted as an autosomal dominant trait and associated with a novel integrin beta(3)-gene (ITGB3) mutation. RESULTS The characteristics of our families are moderate macrothrombocytopenia and defective platelet function associated with a mild reduction of surface alpha(Ib) beta(3), impaired platelet aggregation to physiological agonists but not to ristocetin, normal clot retraction, reduced fibrinogen binding and expression of activated alpha(IIb)beta(3) upon stimulation, normal platelet adhesion to immobilized fibrinogen but reduced platelet spreading and tyrosine phosphorylation, indicating defective alpha(IIb)beta(3)-mediated outside-in signaling. Molecular analysis revealed a novel mutation of ITGB3 that determines an in-frame deletion producing the loss of amino acids 647-686 of the betaTD ectodomain of integrin beta(3). Haplotype analysis indicated that the two families inherited the mutation from a common ancestral chromosome. CONCLUSIONS This novel autosomal dominant macrothrombocytopenia associated with platelet dysfunction raises interesting questions about the role of integrin beta(3), and its betaTD domain, in platelet formation and function.
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Affiliation(s)
- Paolo Gresele
- Division of Internal and Cardiovascular Medicine, Department of Internal Medicine, University of Perugia, Via E. dal Pozzo, Perugia, Italy.
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Corazza GR, Trevisani F, Di Stefano M, De Notariis S, Veneto G, Cecchetti L, Minguzzi L, Gasbarrini G, Bernardi M. Early increase of bone resorption in patients with liver cirrhosis secondary to viral hepatitis. Dig Dis Sci 2000; 45:1392-9. [PMID: 10961720 DOI: 10.1023/a:1005568406664] [Citation(s) in RCA: 38] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Bone loss is an established complication of cholestatic liver cirrhosis, while little is known about bone mass and metabolism in noncholestatic liver cirrhosis. The aim of the present study is, therefore, to evaluate bone mass and mineral metabolism in patients with liver cirrhosis secondary to viral hepatitis. Bone mineral density measurement at lumbar and femoral levels and the evaluation of bone and mineral metabolism and gonadal function were performed in 31 patients with liver cirrhosis and 37 healthy volunteers. Lumbar and femoral bone mineral density values were significantly lower in patients than in healthy volunteers. Prevalence and severity of bone loss increased according to the severity of liver disease. All serum indices of bone and mineral metabolism and of gonadal function showed a similar behavior, but a significant increase of bone resorption was present in all Child-Pugh classes. In particular, class A patients showed normal mean bone mineral density values but increased serum levels of the telopeptide of type I collagen. Liver cirrhosis predisposes to bone loss regardless of the presence of cholestasis. The severity of metabolic osteopathy worsens as liver function does. The underlying mechanism is represented by an increased bone resorption.
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Affiliation(s)
- G R Corazza
- Gastroenterology Unit, University of Pavia, IRCCS S. Matteo Hospital, Italy
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Abstract
Dermatitis herpetiformis is a gluten-sensitive skin disease with intestinal lesions and malabsorption symptoms less severe than those found in celiac disease. While several studies have shown the occurrence of osteopenia in celiac disease, bone mass and metabolism have never before been evaluated in dermatitis herpetiformis. Therefore, in 16 untreated patients, 16 sex- and age-matched untreated celiac patients, and 16 sex- and age-matched healthy volunteers, lumbar and femoral bone mineral density were measured and bone and mineral metabolism and nutritional status were evaluated. All these parameters were significantly altered in the two groups of patients and although the degree of these alterations was milder in patients with dermatitis herpetiformis than in celiac patients, the presence of subtotal villous atrophy in patients with dermatitis herpetiformis was associated with the presence of more severe alterations. Bone mineral density was significantly correlated with nutritional status, and patients showing bone loss were characterized by a body mass index lower than 20. Alterations of bone mass and mineral metabolism complicate dermatitis herpetiformis when severe intestinal lesions coexist. A low nutritional status may be predictive of the presence of bone loss.
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Affiliation(s)
- M Di Stefano
- Department of Gastroenterology, IRCCS S. Matteo Policlinic, University of Pavia, Italy
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Di Stefano M, Jorizzo RA, Brusco G, Cecchetti L, Sciarra G, Loperfido S, Brandi G, Gasbarrini G, Corazza GR. Bone mass and metabolism in Whipple's disease: the role of hypogonadism. Scand J Gastroenterol 1998; 33:1180-5. [PMID: 9867097 DOI: 10.1080/00365529850172548] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
BACKGROUND Whipple's disease, like other malabsorption syndromes, ought to predispose to osteopenia. We therefore evaluated bone mass and mineral metabolism in a cohort of patients with this condition. METHODS Twelve male patients with Whipple's disease and 36 male age-matched healthy subjects took part in the study. None of the patients complained of diarrhea at the time of the study. Bone mineral density at the lumbar and femoral level and serum levels of indices of bone and mineral metabolism and of gonadal function were measured. RESULTS Bone mineral density at the total femur and femoral neck were significantly lower in patients with Whipple's disease than in healthy volunteers, whereas no significant difference was found at the lumbar level. In patients with Whipple's disease serum levels of type-I collagen teleopeptide (ICTP) and sex-hormone-binding globulin were significantly higher, whereas serum levels of testosterone and luteinizing hormone were significantly lower than in healthy volunteers. Moreover, testosterone correlated significantly (P < 0.05) with lumbar bone mineral density (r(s) = 0.64) and serum ICTP levels (r(s) = -0.63). CONCLUSIONS In patients with previously treated Whipple's disease and without any current symptoms of malabsorption, bone loss is generally moderate and linked to the presence of hypogonadism.
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Affiliation(s)
- M Di Stefano
- Dept. of Internal Medicine, Catholic University, Rome, Italy
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48
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Corazza GR, Di Stefano M, Jorizzo RA, Cecchetti L, Minguzzi L, Gasbarrini G. Propeptide of type I procollagen is predictive of posttreatment bone mass gain in adult celiac disease. Gastroenterology 1997; 113:67-71. [PMID: 9207263 DOI: 10.1016/s0016-5085(97)70081-7] [Citation(s) in RCA: 35] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
BACKGROUND & AIMS Adult celiac disease is associated with osteopenia, which is not always reversible after gluten-free diet (GFD). A prospective study was conducted to evaluate whether pretreatment indices of bone and mineral metabolism are predictive of the extent of bone mass gain after diet. METHODS Lumbar and femoral bone mineral density (z-score) and serum levels of parathyroid hormone, 1,25-dihydroxycholecalciferol, COOH-terminal propeptide of type I procollagen (PICP), and COOH-terminal telopeptide of type I collagen (ICTP) were measured in 20 celiac patients at diagnosis and after 2 years of GFD. RESULTS All patients showed a posttreatment improvement in bone mass and in serum levels of indices of bone and mineral metabolism. Nevertheless, only in 12 of 20 patients was this improvement at least equal to half the SD of the z-score, which equals a gain of at least 5% in bone mass. Pretreatment levels of PICP strictly correlated with the increase in lumbar (r(s) = 0.92; P < 0.001) and femoral z-scores (r(s) = 0.89; P < 0.001). Only in patients with basal PICP above the normal range did the z-score increase after GFD by at least half the SD. CONCLUSIONS In adult celiac disease, a high rate of osteosynthetic activity before treatment is predictive of the satisfactory recovery of bone mass after GFD.
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Affiliation(s)
- G R Corazza
- Department of Internal Medicine, University of L'Aquila, Italy
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Corazza GR, Di Sario A, Cecchetti L, Jorizzo RA, Di Stefano M, Minguzzi L, Brusco G, Bernardi M, Gasbarrini G. Influence of pattern of clinical presentation and of gluten-free diet on bone mass and metabolism in adult coeliac disease. Bone 1996; 18:525-30. [PMID: 8805992 DOI: 10.1016/8756-3282(96)00071-3] [Citation(s) in RCA: 76] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Since no information is available on bone derangements in subclinical coeliac disease (CD), we evaluated bone mineral density (BMD, expressed as z score) at lumbar spine, by X-ray dual-photon absorptiometry, and serum indices of bone metabolism and remodeling in 14 subclinical or silent patients, 10 classical patients, and 15 healthy volunteers all on a gluten-containing diet. In the subclinical group, BMD at lumbar spine was significantly higher than in the classical group (-1.3 +/- 0.8, 73% vs. -2.6 +/- 0.6, 88%, respectively; p < 0.001), but significantly lower than in volunteers (+0.4 +/- 1.1, 104%; p < 0.001). Similar changes were observed in serum calcium, whereas, as regards parathyroid hormone, no significant difference was found between subclinical and classical patients. 25-vitamin D was significantly lower, and 1,25-vitamin D was significantly higher in subclinical and classical patients than in healthy volunteers. Indices of bone remodeling were higher in the subclinical and classical groups than in the volunteers, but lower in the subclinical than in classical patients. Eight subclinical and 8 classical patients were reexamined after a period of gluten-free diet (GFD), and in both groups BMD had significantly improved. Our results show that osteopenia is a frequent feature also in subclinical CD, although the extent of bone and mineral metabolism derangements is lower than in classical CD. GFD is able to normalize BMD in subclinical and to significantly improve it in classical patients.
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Affiliation(s)
- G R Corazza
- Department of Internal Medicine, University of L'Aquila, Italy
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Abstract
BACKGROUND & AIMS Several aspects of the pathogenesis of osteopenia in celiac disease are still unclear. Therefore, bone mass and metabolism were evaluated in adults with celiac disease in a cross-sectional study. METHODS Bone mineral density (BMD), assessed by total body dual-photon absorptiometry, and serum indices of bone metabolism and remodeling were evaluated in 17 patients with untreated celiac disease, 14 with celiac disease on a gluten-free diet, and 24 healthy volunteers. RESULTS BMD, expressed as a z score, was significantly lower in patients with untreated celiac disease than in patients with treated celiac disease and volunteers and lower in patients with treated celiac disease than in volunteers. Similar changes were observed in serum calcium level, whereas intact parathyroid hormone level was significantly higher in untreated than in treated patients with celiac disease and volunteers, and no difference was found between the latter two groups. 25-Vitamin D level was significantly lower and 1,25-vitamin D level significantly higher in untreated celiac disease than in treated celiac disease and volunteers. Indices of bone remodeling were significantly higher in untreated than in treated patients and volunteers and significantly and positively correlated with iPTH in untreated patients with celiac disease. CONCLUSIONS BMD is almost invariably low in patients with untreated celiac disease. Results in treated patients suggest that gluten-free diet improves but does not normalize BMD. Untreated celiac disease is characterized by high levels of 1,25-vitamin D and by increased bone turnover, caused by the increase in intact parathyroid hormone level.
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Affiliation(s)
- G R Corazza
- Department of Internal Medicine, University of L'Aquila, Italy
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