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1. Effect of childhood physical abuse on social anxiety is mediated via reduced frontal lobe and amygdala-hippocampus complex volume in adult clinical high-risk subjects

Author

Salokangas, R.K.R., Hietala, J., Armio, R.L., Laurikainen, H., From, T., Borgwardt, S., Riecher-Rössler, A., Brambilla, P., Bonivento, C., Meisenzahl, E., Schultze-Lutter, F., Haidl, T., Ruhrmann, S., Upthegrove, R., Wood, S.J., Pantelis, C., Kambeitz-Ilankovic, L., Ruef, A., Dwyer, D.B., Kambeitz, J., and Koutsouleris, N.

Published
2021
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2. Transdiagnostic subgroups of cognitive impairment in early affective and psychotic illness

Author

Wenzel, J, Badde, L, Haas, SS, Bonivento, C, van Rheenen, TE, Antonucci, LA, Ruef, A, Penzel, N, Rosen, M, Lichtenstein, T, Lalousis, PA, Paolini, M, Stainton, A, Dannlowski, U, Romer, G, Brambilla, P, Wood, SJ, Upthegrove, R, Borgwardt, S, Meisenzahl, E, Salokangas, RKR, Pantelis, C, Lencer, R, Bertolino, A, Kambeitz, J, Koutsouleris, N, Dwyer, DB, Kambeitz-Ilankovic, L, Wenzel, J, Badde, L, Haas, SS, Bonivento, C, van Rheenen, TE, Antonucci, LA, Ruef, A, Penzel, N, Rosen, M, Lichtenstein, T, Lalousis, PA, Paolini, M, Stainton, A, Dannlowski, U, Romer, G, Brambilla, P, Wood, SJ, Upthegrove, R, Borgwardt, S, Meisenzahl, E, Salokangas, RKR, Pantelis, C, Lencer, R, Bertolino, A, Kambeitz, J, Koutsouleris, N, Dwyer, DB, and Kambeitz-Ilankovic, L

Abstract

Cognitively impaired and spared patient subgroups were identified in psychosis and depression, and in clinical high-risk for psychosis (CHR). Studies suggest differences in underlying brain structural and functional characteristics. It is unclear whether cognitive subgroups are transdiagnostic phenomena in early stages of psychotic and affective disorder which can be validated on the neural level. Patients with recent-onset psychosis (ROP; N = 140; female = 54), recent-onset depression (ROD; N = 130; female = 73), CHR (N = 128; female = 61) and healthy controls (HC; N = 270; female = 165) were recruited through the multi-site study PRONIA. The transdiagnostic sample and individual study groups were clustered into subgroups based on their performance in eight cognitive domains and characterized by gray matter volume (sMRI) and resting-state functional connectivity (rsFC) using support vector machine (SVM) classification. We identified an impaired subgroup (NROP = 79, NROD = 30, NCHR = 37) showing cognitive impairment in executive functioning, working memory, processing speed and verbal learning (all p < 0.001). A spared subgroup (NROP = 61, NROD = 100, NCHR = 91) performed comparable to HC. Single-disease subgroups indicated that cognitive impairment is stronger pronounced in impaired ROP compared to impaired ROD and CHR. Subgroups in ROP and ROD showed specific symptom- and functioning-patterns. rsFC showed superior accuracy compared to sMRI in differentiating transdiagnostic subgroups from HC (BACimpaired = 58.5%; BACspared = 61.7%, both: p < 0.01). Cognitive findings were validated in the PRONIA replication sample (N = 409). Individual cognitive subgroups in ROP, ROD and CHR are more informative than transdiagnostic subgroups as they map onto individual cognitive impairment and specific functioning- and symptom-patterns which show limited overlap in sMRI and rsFC.

Published
2024

3. A multivariate cognitive approach to predict social functioning in recent onset psychosis in response to computerized cognitive training

Author

Walter, N, Wenzel, J, Haas, SS, Squarcina, L, Bonivento, C, Ruef, A, Dwyer, D, Lichtenstein, T, Bastruek, O, Stainton, A, Antonucci, LA, Brambilla, P, Wood, SJ, Upthegrove, R, Borgwardt, S, Lencer, R, Meisenzahl, E, Salokangas, RKR, Pantelis, C, Bertolino, A, Koutsouleris, N, Kambeitz, J, Kambeitz-Ilankovic, L, Walter, N, Wenzel, J, Haas, SS, Squarcina, L, Bonivento, C, Ruef, A, Dwyer, D, Lichtenstein, T, Bastruek, O, Stainton, A, Antonucci, LA, Brambilla, P, Wood, SJ, Upthegrove, R, Borgwardt, S, Lencer, R, Meisenzahl, E, Salokangas, RKR, Pantelis, C, Bertolino, A, Koutsouleris, N, Kambeitz, J, and Kambeitz-Ilankovic, L

Abstract

Clinical and neuroimaging data has been increasingly used in recent years to disentangle heterogeneity of treatment response to cognitive training (CT) and predict which individuals may achieve the highest benefits. CT has small to medium effects on improving cognitive and social functioning in recent onset psychosis (ROP) patients, who show the most profound cognitive and social functioning deficits among psychiatric patients. We employed multivariate pattern analysis (MVPA) to investigate the potential of cognitive data to predict social functioning improvement in response to 10 h of CT in patients with ROP. A support vector machine (SVM) classifier was trained on the naturalistic data of the Personalized Prognostic Tools for Early Psychosis Management (PRONIA) study sample to predict functioning in an independent sample of 70 ROP patients using baseline cognitive data. PRONIA is a part of a FP7 EU grant program that involved 7 sites across 5 European countries, designed and conducted with the main aim of identifying (bio)markers associated with an enhanced risk of developing psychosis in order to improve early detection and prognosis. Social functioning was predicted with a balanced accuracy (BAC) of 66.4% (Sensitivity 78.8%; Specificity 54.1%; PPV 60.5%; NPV 74.1%; AUC 0.64; P = 0.01). The most frequently selected cognitive features (mean feature weights > ± 0.2) included the (1) correct number of symbol matchings within the Digit Symbol Substitution Test, (2) the number of distracting stimuli leading to an error within 300 and 200 trials in the Continuous Performance Test and (3) the dynamics of verbal fluency between 15 and 30 s within the Verbal Fluency Test, phonetic part. Next, the SVM classifier generated on the PRONIA sample was applied to the intervention sample, that obtained 54 ROP patients who were randomly assigned to a social cognitive training (SCT) or treatment as usual (TAU) group and dichotomized into good (GF-S ≥ 7) and poor (GF-S < 7) function

Published
2024

4. Language production impairments in patients with a first episode of psychosis

Author

Gargano, G, Caletti, E, Perlini, C, Turtulici, N, Bellani, M, Bonivento, C, Garzitto, M, Siri, F, Longo, C, Bonetto, C, Cristofalo, D, Scocco, P, Semrov, E, Preti, A, Lazzarotto, L, Gardellin, F, Lasalvia, A, Ruggeri, M, Marini, A, Brambilla, P, Bertani, M, Bissoli, S, De Santi, K, Lunardi, S, Negretto, V, Poli, S, Tosato, S, Zamboni, M, Ballarin, M, De Girolamo, G, Fioritti, A, Neri, G, Pileggi, F, Rucci, P, Chiavetto, L, Scasselatti, C, Zanardini, R, Bertoldo, A, Marinelli, V, Rambaldelli, G, Bardella, S, Lamonaca, D, Lunardon, M, Magnabosco, R, Martucci, M, Nicolau, S, Nifosi, F, Pavanati, M, Rossi, M, Piazza, C, Piccione, G, Sala, A, Sale, A, Stefani, B, Zotos, S, Balbo, M, Boggian, I, Ceccato, E, Dall'Agnola, R, Girotto, B, Goss, C, Leoni, R, Mai, A, Pasqualini, A, Roccato, S, Rossi, A, Strizzolo, S, Urbani, A, Aldi, F, Bianchi, B, Cappellari, P, Conti, R, De Battisti, L, Lazzarin, E, Merlin, S, Migliorini, G, Pozzan, T, Sarto, L, Visona, S, Brazzoli, A, Campi, A, Carmagnani, R, Giambelli, S, Gianella, A, Lunardi, L, Madaghiele, D, Maestrelli, P, Paiola, L, Posteri, E, Viola, L, Zamberlan, V, Zenari, M, Zanoni, M, Bonadonna, G, Bonomo, M, Santonastaso, P, Cremonese, C, Veronese, A, Anderle, P, Angelozzi, A, Baron, I, Candeago, E, Castelli, F, Chieco, M, Di Costanzo, E, Derossi, M, Doriguzzi, M, Galvano, O, Lattanzi, M, Lezzi, R, Marcato, M, Marcolin, A, Marini, F, Matranga, M, Scalabrin, D, Zucchetto, M, Zadro, F, Austoni, G, Bianco, M, Bordino, F, Dario, F, De Risio, A, Gatto, A, Grana, S, Favero, E, Franceschini, A, Friederici, S, Marangon, V, Pascolo, M, Ramon, L, Zambolin, S, Riolo, R, Buffon, A, Di Bortolo, E, Fortin, S, Matarrese, F, Mogni, S, Codemo, N, Russi, A, Silvestro, A, Turella, E, Viel, P, Dominoni, A, Andreose, L, Boemio, M, Bressan, L, Cabbia, A, Canesso, E, Cian, R, Dal Piccol, C, Pasqua, M, Di Prisco, A, Mantellato, L, Luison, M, Morgante, S, Santi, M, Sacillotto, M, Scabbio, M, Sponga, P, Sguotto, M, Stach, F, Vettorato, M, Martinello, G, Dassie, F, Marino, S, Cibiniel, L, Masetto, I, Cabianca, O, Valente, A, Caberlotto, L, Passoni, A, Flumian, P, Daniel, L, Gion, M, Stanziale, S, Alborino, F, Bortolozzo, V, Bacelle, L, Bicciato, L, Basso, D, Navaglia, F, Manoni, F, Ercolin, M, Giubilini, F, Imbesi, M, Leuci, E, Mazzi, F, Anelli, S, Amore, M, Bigi, L, Britta, W, Anna, G, Bonatti, U, Borziani, M, Crosato, S, Fabris, I, Galluccio, R, Galeotti, M, Gozzi, M, Greco, V, Guagnini, E, Pagani, S, Maccherozzi, S, Malvasi, R, Marchi, F, Melato, E, Mazzucchi, E, Marzullo, F, Pellegrini, P, Petrolini, N, Volta, P, Bonara, F, Brusamonti, E, Croci, R, Flamia, I, Fontana, F, Losi, R, Marchioro, R, Raffaini, L, Ruju, L, Saginario, A, Tondelli, M, Marrama, D, Bernardelli, L, Bonacini, F, Florindo, A, Merli, M, Nappo, P, Sola, L, Tondelli, O, Tonna, M, Torre, M, Tosatti, M, Venturelli, G, Zampolla, D, Bernardi, A, Cavalli, C, Cigala, L, Ciraudo, C, Di Bari, A, Ferri, L, Gombi, F, Leurini, S, Mandatelli, E, Maccaferri, S, Oroboncoide, M, Pisa, B, Ricci, C, Poggi, E, Zurlini, C, Malpeli, M, Colla, R, Teodori, E, Vecchia, L, D'Andrea, R, Trenti, T, Paolini, P, Carpeggiani, P, Ghigi, D, Gagliostro, M, Pratelli, M, Antonelli, A, Battistini, L, Bellini, F, Bonini, E, Capelli, C, Didomizio, C, Drei, C, Fucci, G, Gualandi, A, Grazia, M, Losi, A, Mazzoni, F, Marangoni, D, Monna, G, Morselli, M, Oggioni, A, Oprandi, S, Paganelli, W, Passerini, M, Piscitelli, M, Reggiani, G, Rossi, G, Salvatori, F, Trasforini, S, Uslenghi, C, Veggetti, S, Bartolucci, G, Baruffa, R, Bertelli, R, Borghi, L, Ciavarella, P, Paltrinieri, E, Rizzardi, F, Serra, P, Suzzi, D, Arienti, P, Aureli, F, Avanzi, R, Callegari, V, Corsino, A, Host, P, Michetti, R, Rizzo, F, Simoncelli, P, Soldati, E, Succi, E, Bertozzi, M, Canetti, E, Cavicchioli, L, Ceccarelli, E, Cenni, S, Marzola, G, Gallina, V, Leoni, C, Olivieri, A, Piccolo, E, Ravagli, S, Russo, R, Tedeschini, D, Verenini, M, Abram, W, Granata, V, Curcio, A, Guerra, G, Granini, S, Natali, L, Montanari, E, Pasi, F, Ventura, U, Valenti, S, Francesca, M, Farneti, R, Ravagli, P, Floris, R, Maroncelli, O, Volpones, G, Casali, D, Miceli, M, Bencini, A, Cellini, M, De Biase, L, Barbara, L, Charles, L, Pratesi, C, Tanini, A, Loparrino, R, Ulivelli, C, Cussoto, C, Dei, N, Fumanti, E, Pantani, M, Zeloni, G, Bellini, R, Cellesi, R, Dorigo, N, Gulli, P, Ialeggio, L, Pisanu, M, Rinaldi, G, Konze, A, Cocchi, A, Meneghelli, A, Frova, M, Monzani, E, Zanobio, A, Malagoli, M, Pagani, R, Barbera, S, Morganti, C, Amade, E, Brambilla, V, Montanari, A, Caterina, G, Lopez, C, Marocchi, A, Moletta, A, Sberna, M, Cascio, M, Scarone, S, Gargano G., Caletti E., Perlini C., Turtulici N., Bellani M., Bonivento C., Garzitto M., Siri F. M., Longo C., Bonetto C., Cristofalo D., Scocco P., Semrov E., Preti A., Lazzarotto L., Gardellin F., Lasalvia A., Ruggeri M., Marini A., Brambilla P., Bertani M. E., Bissoli S., De Santi K., Lunardi S., Negretto V., Poli S., Tosato S., Zamboni M. G., Ballarin M., De Girolamo G., Fioritti A., Neri G., Pileggi F., Rucci P., Chiavetto L. B., Scasselatti C., Zanardini R., Bertoldo A., Marinelli V., Rambaldelli G., Bardella S., Lamonaca D., Lunardon M., Magnabosco R., Martucci M., Nicolau S., Nifosi F., Pavanati M., Rossi M., Piazza C., Piccione G., Sala A., Sale A., Stefani B., Zotos S., Balbo M., Boggian I., Ceccato E., Dall'Agnola R., Girotto B., Goss C., Leoni R., Mai A., Pasqualini A., Roccato S., Rossi A., Strizzolo S., Urbani A., Aldi F., Bianchi B., Cappellari P., Conti R., De Battisti L., Lazzarin E., Merlin S., Migliorini G., Pozzan T., Sarto L., Visona S., Brazzoli A., Campi A., Carmagnani R., Giambelli S., Gianella A., Lunardi L., Madaghiele D., Maestrelli P., Paiola L., Posteri E., Viola L., Zamberlan V., Zenari M., Zanoni M., Bonadonna G., Bonomo M., Santonastaso P., Cremonese C., Veronese A., Anderle P., Angelozzi A., Baron I. A. G., Candeago E. B. F., Castelli F., Chieco M., Di Costanzo E., Derossi M., Doriguzzi M., Galvano O., Lattanzi M., Lezzi R., Marcato M., Marcolin A., Marini F., Matranga M., Scalabrin D., Zucchetto M., Zadro F., Austoni G., Bianco M., Bordino F., Dario F., De Risio A., Gatto A., Grana S., Favero E., Franceschini A., Friederici S., Marangon V., Pascolo M., Ramon L., Zambolin S., Riolo R., Buffon A., Di Bortolo E., Fortin S., Matarrese F., Mogni S., Codemo N., Russi A., Silvestro A., Turella E., Viel P., Dominoni A., Andreose L., Boemio M., Bressan L., Cabbia A., Canesso E., Cian R., Dal Piccol C., Pasqua M. M. D., Di Prisco A., Mantellato L., Luison M., Morgante S., Santi M., Sacillotto M., Scabbio M., Sponga P., Sguotto M., Stach F., Vettorato M., Martinello G., Dassie F., Marino S., Cibiniel L., Masetto I., Cabianca O., Valente A., Caberlotto L., Passoni A., Flumian P., Daniel L., Gion M., Stanziale S., Alborino F., Bortolozzo V., Bacelle L., Bicciato L., Basso D., Navaglia F., Manoni F., Ercolin M., Giubilini F., Imbesi M., Leuci E., Mazzi F., Anelli S., Amore M., Bigi L., Britta W., Anna G. B., Bonatti U., Borziani M., Crosato S., Fabris I., Galluccio R., Galeotti M., Gozzi M., Greco V., Guagnini E., Pagani S., Maccherozzi S., Malvasi R., Marchi F., Melato E., Mazzucchi E., Marzullo F., Pellegrini P., Petrolini N., Volta P., Bonara F., Brusamonti E., Croci R., Flamia I., Fontana F., Losi R., Marchioro R., Raffaini L., Ruju L., Saginario A., Tondelli M., Marrama D., Bernardelli L., Bonacini F., Florindo A., Merli M., Nappo P., Sola L., Tondelli O., Tonna M., Torre M., Tosatti M., Venturelli G., Zampolla D., Bernardi A., Cavalli C., Cigala L., Ciraudo C., Di Bari A., Ferri L., Gombi F., Leurini S., Mandatelli E., Maccaferri S., Oroboncoide M., Pisa B., Ricci C., Poggi E., Zurlini C., Malpeli M., Colla R., Teodori E., Vecchia L., D'Andrea R., Trenti T., Paolini P., Carpeggiani P., Ghigi D., Gagliostro M., Pratelli M., Antonelli A., Battistini L., Bellini F., Bonini E., Capelli C. B. R., DiDomizio C., Drei C., Fucci G., Gualandi A., Grazia M. R., Losi A. M., Mazzoni F. M. P., Marangoni D., Monna G., Morselli M., Oggioni A., Oprandi S., Paganelli W., Passerini M., Piscitelli M., Reggiani G., Rossi G., Salvatori F., Trasforini S., Uslenghi C., Veggetti S., Bartolucci G., Baruffa R., Bertelli R., Borghi L., Ciavarella P., Paltrinieri E., Rizzardi F., Serra P., Suzzi D., Arienti P., Aureli F., Avanzi R., Callegari V., Corsino A., Host P., Michetti R., Rizzo F., Simoncelli P., Soldati E., Succi E., Bertozzi M., Canetti E., Cavicchioli L., Ceccarelli E., Cenni S., Marzola G., Gallina V., Leoni C., Olivieri A., Piccolo E., Ravagli S., Russo R., Tedeschini D., Verenini M., Abram W., Granata V., Curcio A., Guerra G., Granini S., Natali L., Montanari E., Pasi F., Ventura U., Valenti S., Francesca M., Farneti R., Ravagli P., Floris R., Maroncelli O., Volpones G., Casali D., Miceli M., Bencini A., Cellini M., De Biase L., Barbara L., Charles L., Pratesi C., Tanini A., Loparrino R., Ulivelli C., Cussoto C., Dei N., Fumanti E., Pantani M., Zeloni G., Bellini R., Cellesi R., Dorigo N., Gulli P., Ialeggio L., Pisanu M., Rinaldi G., Konze A., Cocchi A., Meneghelli A., Frova M., Monzani E., Zanobio A., Malagoli M., Pagani R., Barbera S., Morganti C., Amade E. S., Brambilla V., Montanari A., Caterina G., Lopez C., Marocchi A., Moletta A., Sberna M., Cascio M. T., Scarone S., Gargano, G, Caletti, E, Perlini, C, Turtulici, N, Bellani, M, Bonivento, C, Garzitto, M, Siri, F, Longo, C, Bonetto, C, Cristofalo, D, Scocco, P, Semrov, E, Preti, A, Lazzarotto, L, Gardellin, F, Lasalvia, A, Ruggeri, M, Marini, A, Brambilla, P, Bertani, M, Bissoli, S, De Santi, K, Lunardi, S, Negretto, V, Poli, S, Tosato, S, Zamboni, M, Ballarin, M, De Girolamo, G, Fioritti, A, Neri, G, Pileggi, F, Rucci, P, Chiavetto, L, Scasselatti, C, Zanardini, R, Bertoldo, A, Marinelli, V, Rambaldelli, G, Bardella, S, Lamonaca, D, Lunardon, M, Magnabosco, R, Martucci, M, Nicolau, S, Nifosi, F, Pavanati, M, Rossi, M, Piazza, C, Piccione, G, Sala, A, Sale, A, Stefani, B, Zotos, S, Balbo, M, Boggian, I, Ceccato, E, Dall'Agnola, R, Girotto, B, Goss, C, Leoni, R, Mai, A, Pasqualini, A, Roccato, S, Rossi, A, Strizzolo, S, Urbani, A, Aldi, F, Bianchi, B, Cappellari, P, Conti, R, De Battisti, L, Lazzarin, E, Merlin, S, Migliorini, G, Pozzan, T, Sarto, L, Visona, S, Brazzoli, A, Campi, A, Carmagnani, R, Giambelli, S, Gianella, A, Lunardi, L, Madaghiele, D, Maestrelli, P, Paiola, L, Posteri, E, Viola, L, Zamberlan, V, Zenari, M, Zanoni, M, Bonadonna, G, Bonomo, M, Santonastaso, P, Cremonese, C, Veronese, A, Anderle, P, Angelozzi, A, Baron, I, Candeago, E, Castelli, F, Chieco, M, Di Costanzo, E, Derossi, M, Doriguzzi, M, Galvano, O, Lattanzi, M, Lezzi, R, Marcato, M, Marcolin, A, Marini, F, Matranga, M, Scalabrin, D, Zucchetto, M, Zadro, F, Austoni, G, Bianco, M, Bordino, F, Dario, F, De Risio, A, Gatto, A, Grana, S, Favero, E, Franceschini, A, Friederici, S, Marangon, V, Pascolo, M, Ramon, L, Zambolin, S, Riolo, R, Buffon, A, Di Bortolo, E, Fortin, S, Matarrese, F, Mogni, S, Codemo, N, Russi, A, Silvestro, A, Turella, E, Viel, P, Dominoni, A, Andreose, L, Boemio, M, Bressan, L, Cabbia, A, Canesso, E, Cian, R, Dal Piccol, C, Pasqua, M, Di Prisco, A, Mantellato, L, Luison, M, Morgante, S, Santi, M, Sacillotto, M, Scabbio, M, Sponga, P, Sguotto, M, Stach, F, Vettorato, M, Martinello, G, Dassie, F, Marino, S, Cibiniel, L, Masetto, I, Cabianca, O, Valente, A, Caberlotto, L, Passoni, A, Flumian, P, Daniel, L, Gion, M, Stanziale, S, Alborino, F, Bortolozzo, V, Bacelle, L, Bicciato, L, Basso, D, Navaglia, F, Manoni, F, Ercolin, M, Giubilini, F, Imbesi, M, Leuci, E, Mazzi, F, Anelli, S, Amore, M, Bigi, L, Britta, W, Anna, G, Bonatti, U, Borziani, M, Crosato, S, Fabris, I, Galluccio, R, Galeotti, M, Gozzi, M, Greco, V, Guagnini, E, Pagani, S, Maccherozzi, S, Malvasi, R, Marchi, F, Melato, E, Mazzucchi, E, Marzullo, F, Pellegrini, P, Petrolini, N, Volta, P, Bonara, F, Brusamonti, E, Croci, R, Flamia, I, Fontana, F, Losi, R, Marchioro, R, Raffaini, L, Ruju, L, Saginario, A, Tondelli, M, Marrama, D, Bernardelli, L, Bonacini, F, Florindo, A, Merli, M, Nappo, P, Sola, L, Tondelli, O, Tonna, M, Torre, M, Tosatti, M, Venturelli, G, Zampolla, D, Bernardi, A, Cavalli, C, Cigala, L, Ciraudo, C, Di Bari, A, Ferri, L, Gombi, F, Leurini, S, Mandatelli, E, Maccaferri, S, Oroboncoide, M, Pisa, B, Ricci, C, Poggi, E, Zurlini, C, Malpeli, M, Colla, R, Teodori, E, Vecchia, L, D'Andrea, R, Trenti, T, Paolini, P, Carpeggiani, P, Ghigi, D, Gagliostro, M, Pratelli, M, Antonelli, A, Battistini, L, Bellini, F, Bonini, E, Capelli, C, Didomizio, C, Drei, C, Fucci, G, Gualandi, A, Grazia, M, Losi, A, Mazzoni, F, Marangoni, D, Monna, G, Morselli, M, Oggioni, A, Oprandi, S, Paganelli, W, Passerini, M, Piscitelli, M, Reggiani, G, Rossi, G, Salvatori, F, Trasforini, S, Uslenghi, C, Veggetti, S, Bartolucci, G, Baruffa, R, Bertelli, R, Borghi, L, Ciavarella, P, Paltrinieri, E, Rizzardi, F, Serra, P, Suzzi, D, Arienti, P, Aureli, F, Avanzi, R, Callegari, V, Corsino, A, Host, P, Michetti, R, Rizzo, F, Simoncelli, P, Soldati, E, Succi, E, Bertozzi, M, Canetti, E, Cavicchioli, L, Ceccarelli, E, Cenni, S, Marzola, G, Gallina, V, Leoni, C, Olivieri, A, Piccolo, E, Ravagli, S, Russo, R, Tedeschini, D, Verenini, M, Abram, W, Granata, V, Curcio, A, Guerra, G, Granini, S, Natali, L, Montanari, E, Pasi, F, Ventura, U, Valenti, S, Francesca, M, Farneti, R, Ravagli, P, Floris, R, Maroncelli, O, Volpones, G, Casali, D, Miceli, M, Bencini, A, Cellini, M, De Biase, L, Barbara, L, Charles, L, Pratesi, C, Tanini, A, Loparrino, R, Ulivelli, C, Cussoto, C, Dei, N, Fumanti, E, Pantani, M, Zeloni, G, Bellini, R, Cellesi, R, Dorigo, N, Gulli, P, Ialeggio, L, Pisanu, M, Rinaldi, G, Konze, A, Cocchi, A, Meneghelli, A, Frova, M, Monzani, E, Zanobio, A, Malagoli, M, Pagani, R, Barbera, S, Morganti, C, Amade, E, Brambilla, V, Montanari, A, Caterina, G, Lopez, C, Marocchi, A, Moletta, A, Sberna, M, Cascio, M, Scarone, S, Gargano G., Caletti E., Perlini C., Turtulici N., Bellani M., Bonivento C., Garzitto M., Siri F. M., Longo C., Bonetto C., Cristofalo D., Scocco P., Semrov E., Preti A., Lazzarotto L., Gardellin F., Lasalvia A., Ruggeri M., Marini A., Brambilla P., Bertani M. E., Bissoli S., De Santi K., Lunardi S., Negretto V., Poli S., Tosato S., Zamboni M. G., Ballarin M., De Girolamo G., Fioritti A., Neri G., Pileggi F., Rucci P., Chiavetto L. B., Scasselatti C., Zanardini R., Bertoldo A., Marinelli V., Rambaldelli G., Bardella S., Lamonaca D., Lunardon M., Magnabosco R., Martucci M., Nicolau S., Nifosi F., Pavanati M., Rossi M., Piazza C., Piccione G., Sala A., Sale A., Stefani B., Zotos S., Balbo M., Boggian I., Ceccato E., Dall'Agnola R., Girotto B., Goss C., Leoni R., Mai A., Pasqualini A., Roccato S., Rossi A., Strizzolo S., Urbani A., Aldi F., Bianchi B., Cappellari P., Conti R., De Battisti L., Lazzarin E., Merlin S., Migliorini G., Pozzan T., Sarto L., Visona S., Brazzoli A., Campi A., Carmagnani R., Giambelli S., Gianella A., Lunardi L., Madaghiele D., Maestrelli P., Paiola L., Posteri E., Viola L., Zamberlan V., Zenari M., Zanoni M., Bonadonna G., Bonomo M., Santonastaso P., Cremonese C., Veronese A., Anderle P., Angelozzi A., Baron I. A. G., Candeago E. B. F., Castelli F., Chieco M., Di Costanzo E., Derossi M., Doriguzzi M., Galvano O., Lattanzi M., Lezzi R., Marcato M., Marcolin A., Marini F., Matranga M., Scalabrin D., Zucchetto M., Zadro F., Austoni G., Bianco M., Bordino F., Dario F., De Risio A., Gatto A., Grana S., Favero E., Franceschini A., Friederici S., Marangon V., Pascolo M., Ramon L., Zambolin S., Riolo R., Buffon A., Di Bortolo E., Fortin S., Matarrese F., Mogni S., Codemo N., Russi A., Silvestro A., Turella E., Viel P., Dominoni A., Andreose L., Boemio M., Bressan L., Cabbia A., Canesso E., Cian R., Dal Piccol C., Pasqua M. M. D., Di Prisco A., Mantellato L., Luison M., Morgante S., Santi M., Sacillotto M., Scabbio M., Sponga P., Sguotto M., Stach F., Vettorato M., Martinello G., Dassie F., Marino S., Cibiniel L., Masetto I., Cabianca O., Valente A., Caberlotto L., Passoni A., Flumian P., Daniel L., Gion M., Stanziale S., Alborino F., Bortolozzo V., Bacelle L., Bicciato L., Basso D., Navaglia F., Manoni F., Ercolin M., Giubilini F., Imbesi M., Leuci E., Mazzi F., Anelli S., Amore M., Bigi L., Britta W., Anna G. B., Bonatti U., Borziani M., Crosato S., Fabris I., Galluccio R., Galeotti M., Gozzi M., Greco V., Guagnini E., Pagani S., Maccherozzi S., Malvasi R., Marchi F., Melato E., Mazzucchi E., Marzullo F., Pellegrini P., Petrolini N., Volta P., Bonara F., Brusamonti E., Croci R., Flamia I., Fontana F., Losi R., Marchioro R., Raffaini L., Ruju L., Saginario A., Tondelli M., Marrama D., Bernardelli L., Bonacini F., Florindo A., Merli M., Nappo P., Sola L., Tondelli O., Tonna M., Torre M., Tosatti M., Venturelli G., Zampolla D., Bernardi A., Cavalli C., Cigala L., Ciraudo C., Di Bari A., Ferri L., Gombi F., Leurini S., Mandatelli E., Maccaferri S., Oroboncoide M., Pisa B., Ricci C., Poggi E., Zurlini C., Malpeli M., Colla R., Teodori E., Vecchia L., D'Andrea R., Trenti T., Paolini P., Carpeggiani P., Ghigi D., Gagliostro M., Pratelli M., Antonelli A., Battistini L., Bellini F., Bonini E., Capelli C. B. R., DiDomizio C., Drei C., Fucci G., Gualandi A., Grazia M. R., Losi A. M., Mazzoni F. M. P., Marangoni D., Monna G., Morselli M., Oggioni A., Oprandi S., Paganelli W., Passerini M., Piscitelli M., Reggiani G., Rossi G., Salvatori F., Trasforini S., Uslenghi C., Veggetti S., Bartolucci G., Baruffa R., Bertelli R., Borghi L., Ciavarella P., Paltrinieri E., Rizzardi F., Serra P., Suzzi D., Arienti P., Aureli F., Avanzi R., Callegari V., Corsino A., Host P., Michetti R., Rizzo F., Simoncelli P., Soldati E., Succi E., Bertozzi M., Canetti E., Cavicchioli L., Ceccarelli E., Cenni S., Marzola G., Gallina V., Leoni C., Olivieri A., Piccolo E., Ravagli S., Russo R., Tedeschini D., Verenini M., Abram W., Granata V., Curcio A., Guerra G., Granini S., Natali L., Montanari E., Pasi F., Ventura U., Valenti S., Francesca M., Farneti R., Ravagli P., Floris R., Maroncelli O., Volpones G., Casali D., Miceli M., Bencini A., Cellini M., De Biase L., Barbara L., Charles L., Pratesi C., Tanini A., Loparrino R., Ulivelli C., Cussoto C., Dei N., Fumanti E., Pantani M., Zeloni G., Bellini R., Cellesi R., Dorigo N., Gulli P., Ialeggio L., Pisanu M., Rinaldi G., Konze A., Cocchi A., Meneghelli A., Frova M., Monzani E., Zanobio A., Malagoli M., Pagani R., Barbera S., Morganti C., Amade E. S., Brambilla V., Montanari A., Caterina G., Lopez C., Marocchi A., Moletta A., Sberna M., Cascio M. T., and Scarone S.

Abstract

Language production has often been described as impaired in psychiatric diseases such as in psychosis. Nevertheless, little is known about the characteristics of linguistic difficulties and their relation with other cognitive domains in patients with a first episode of psychosis (FEP), either affective or non-affective. To deepen our comprehension of linguistic profile in FEP, 133 patients with FEP (95 non-affective, FEP-NA; 38 affective, FEP-A) and 133 healthy controls (HC) were assessed with a narrative discourse task. Speech samples were systematically analyzed with a well-established multilevel procedure investigating both micro- (lexicon, morphology, syntax) and macro-linguistic (discourse coherence, pragmatics) levels of linguistic processing. Executive functioning and IQ were also evaluated. Both linguistic and neuropsychological measures were secondarily implemented with a machine learning approach in order to explore their predictive accuracy in classifying participants as FEP or HC. Compared to HC, FEP patients showed language production difficulty at both micro- and macro-linguistic levels. As for the former, FEP produced shorter and simpler sentences and fewer words per minute, along with a reduced number of lexical fillers, compared to HC. At the macro-linguistic level, FEP performance was impaired in local coherence, which was paired with a higher percentage of utterances with semantic errors. Linguistic measures were not correlated with any neuropsychological variables. No significant differences emerged between FEP-NA and FEP-A (p≥0.02, after Bonferroni correction). Machine learning analysis showed an accuracy of group prediction of 76.36% using language features only, with semantic variables being the most impactful. Such a percentage was enhanced when paired with clinical and neuropsychological variables. Results confirm the presence of language production deficits already at the first episode of the illness, being such impairment not related to ot

Published
2022

6. Language production impairments in patients with a first episode of psychosis

Author

Gargano G., Caletti E., Perlini C., Turtulici N., Bellani M., Bonivento C., Garzitto M., Siri F. M., Longo C., Bonetto C., Cristofalo D., Scocco P., Semrov E., Preti A., Lazzarotto L., Gardellin F., Lasalvia A., Ruggeri M., Marini A., Brambilla P., Bertani M. E., Bissoli S., De Santi K., Lunardi S., Negretto V., Poli S., Tosato S., Zamboni M. G., Ballarin M., De Girolamo G., Fioritti A., Neri G., Pileggi F., Rucci P., Chiavetto L. B., Scasselatti C., Zanardini R., Bertoldo A., Marinelli V., Rambaldelli G., Bardella S., Lamonaca D., Lunardon M., Magnabosco R., Martucci M., Nicolau S., Nifosi F., Pavanati M., Rossi M., Piazza C., Piccione G., Sala A., Sale A., Stefani B., Zotos S., Balbo M., Boggian I., Ceccato E., Dall'Agnola R., Girotto B., Goss C., Leoni R., Mai A., Pasqualini A., Roccato S., Rossi A., Strizzolo S., Urbani A., Aldi F., Bianchi B., Cappellari P., Conti R., De Battisti L., Lazzarin E., Merlin S., Migliorini G., Pozzan T., Sarto L., Visona S., Brazzoli A., Campi A., Carmagnani R., Giambelli S., Gianella A., Lunardi L., Madaghiele D., Maestrelli P., Paiola L., Posteri E., Viola L., Zamberlan V., Zenari M., Zanoni M., Bonadonna G., Bonomo M., Santonastaso P., Cremonese C., Veronese A., Anderle P., Angelozzi A., Baron I. A. G., Candeago E. B. F., Castelli F., Chieco M., Di Costanzo E., Derossi M., Doriguzzi M., Galvano O., Lattanzi M., Lezzi R., Marcato M., Marcolin A., Marini F., Matranga M., Scalabrin D., Zucchetto M., Zadro F., Austoni G., Bianco M., Bordino F., Dario F., De Risio A., Gatto A., Grana S., Favero E., Franceschini A., Friederici S., Marangon V., Pascolo M., Ramon L., Zambolin S., Riolo R., Buffon A., Di Bortolo E., Fortin S., Matarrese F., Mogni S., Codemo N., Russi A., Silvestro A., Turella E., Viel P., Dominoni A., Andreose L., Boemio M., Bressan L., Cabbia A., Canesso E., Cian R., Dal Piccol C., Pasqua M. M. D., Di Prisco A., Mantellato L., Luison M., Morgante S., Santi M., Sacillotto M., Scabbio M., Sponga P., Sguotto M., Stach F., Vettorato M., Martinello G., Dassie F., Marino S., Cibiniel L., Masetto I., Cabianca O., Valente A., Caberlotto L., Passoni A., Flumian P., Daniel L., Gion M., Stanziale S., Alborino F., Bortolozzo V., Bacelle L., Bicciato L., Basso D., Navaglia F., Manoni F., Ercolin M., Giubilini F., Imbesi M., Leuci E., Mazzi F., Anelli S., Amore M., Bigi L., Britta W., Anna G. B., Bonatti U., Borziani M., Crosato S., Fabris I., Galluccio R., Galeotti M., Gozzi M., Greco V., Guagnini E., Pagani S., Maccherozzi S., Malvasi R., Marchi F., Melato E., Mazzucchi E., Marzullo F., Pellegrini P., Petrolini N., Volta P., Bonara F., Brusamonti E., Croci R., Flamia I., Fontana F., Losi R., Marchioro R., Raffaini L., Ruju L., Saginario A., Tondelli M., Marrama D., Bernardelli L., Bonacini F., Florindo A., Merli M., Nappo P., Sola L., Tondelli O., Tonna M., Torre M., Tosatti M., Venturelli G., Zampolla D., Bernardi A., Cavalli C., Cigala L., Ciraudo C., Di Bari A., Ferri L., Gombi F., Leurini S., Mandatelli E., Maccaferri S., Oroboncoide M., Pisa B., Ricci C., Poggi E., Zurlini C., Malpeli M., Colla R., Teodori E., Vecchia L., D'Andrea R., Trenti T., Paolini P., Carpeggiani P., Ghigi D., Gagliostro M., Pratelli M., Antonelli A., Battistini L., Bellini F., Bonini E., Capelli C. B. R., DiDomizio C., Drei C., Fucci G., Gualandi A., Grazia M. R., Losi A. M., Mazzoni F. M. P., Marangoni D., Monna G., Morselli M., Oggioni A., Oprandi S., Paganelli W., Passerini M., Piscitelli M., Reggiani G., Rossi G., Salvatori F., Trasforini S., Uslenghi C., Veggetti S., Bartolucci G., Baruffa R., Bertelli R., Borghi L., Ciavarella P., Paltrinieri E., Rizzardi F., Serra P., Suzzi D., Arienti P., Aureli F., Avanzi R., Callegari V., Corsino A., Host P., Michetti R., Rizzo F., Simoncelli P., Soldati E., Succi E., Bertozzi M., Canetti E., Cavicchioli L., Ceccarelli E., Cenni S., Marzola G., Gallina V., Leoni C., Olivieri A., Piccolo E., Ravagli S., Russo R., Tedeschini D., Verenini M., Abram W., Granata V., Curcio A., Guerra G., Granini S., Natali L., Montanari E., Pasi F., Ventura U., Valenti S., Francesca M., Farneti R., Ravagli P., Floris R., Maroncelli O., Volpones G., Casali D., Miceli M., Bencini A., Cellini M., De Biase L., Barbara L., Charles L., Pratesi C., Tanini A., Loparrino R., Ulivelli C., Cussoto C., Dei N., Fumanti E., Pantani M., Zeloni G., Bellini R., Cellesi R., Dorigo N., Gulli P., Ialeggio L., Pisanu M., Rinaldi G., Konze A., Cocchi A., Meneghelli A., Frova M., Monzani E., Zanobio A., Malagoli M., Pagani R., Barbera S., Morganti C., Amade E. S., Brambilla V., Montanari A., Caterina G., Lopez C., Marocchi A., Moletta A., Sberna M., Cascio M. T., Scarone S., Gargano, G, Caletti, E, Perlini, C, Turtulici, N, Bellani, M, Bonivento, C, Garzitto, M, Siri, F, Longo, C, Bonetto, C, Cristofalo, D, Scocco, P, Semrov, E, Preti, A, Lazzarotto, L, Gardellin, F, Lasalvia, A, Ruggeri, M, Marini, A, Brambilla, P, Bertani, M, Bissoli, S, De Santi, K, Lunardi, S, Negretto, V, Poli, S, Tosato, S, Zamboni, M, Ballarin, M, De Girolamo, G, Fioritti, A, Neri, G, Pileggi, F, Rucci, P, Chiavetto, L, Scasselatti, C, Zanardini, R, Bertoldo, A, Marinelli, V, Rambaldelli, G, Bardella, S, Lamonaca, D, Lunardon, M, Magnabosco, R, Martucci, M, Nicolau, S, Nifosi, F, Pavanati, M, Rossi, M, Piazza, C, Piccione, G, Sala, A, Sale, A, Stefani, B, Zotos, S, Balbo, M, Boggian, I, Ceccato, E, Dall'Agnola, R, Girotto, B, Goss, C, Leoni, R, Mai, A, Pasqualini, A, Roccato, S, Rossi, A, Strizzolo, S, Urbani, A, Aldi, F, Bianchi, B, Cappellari, P, Conti, R, De Battisti, L, Lazzarin, E, Merlin, S, Migliorini, G, Pozzan, T, Sarto, L, Visona, S, Brazzoli, A, Campi, A, Carmagnani, R, Giambelli, S, Gianella, A, Lunardi, L, Madaghiele, D, Maestrelli, P, Paiola, L, Posteri, E, Viola, L, Zamberlan, V, Zenari, M, Zanoni, M, Bonadonna, G, Bonomo, M, Santonastaso, P, Cremonese, C, Veronese, A, Anderle, P, Angelozzi, A, Baron, I, Candeago, E, Castelli, F, Chieco, M, Di Costanzo, E, Derossi, M, Doriguzzi, M, Galvano, O, Lattanzi, M, Lezzi, R, Marcato, M, Marcolin, A, Marini, F, Matranga, M, Scalabrin, D, Zucchetto, M, Zadro, F, Austoni, G, Bianco, M, Bordino, F, Dario, F, De Risio, A, Gatto, A, Grana, S, Favero, E, Franceschini, A, Friederici, S, Marangon, V, Pascolo, M, Ramon, L, Zambolin, S, Riolo, R, Buffon, A, Di Bortolo, E, Fortin, S, Matarrese, F, Mogni, S, Codemo, N, Russi, A, Silvestro, A, Turella, E, Viel, P, Dominoni, A, Andreose, L, Boemio, M, Bressan, L, Cabbia, A, Canesso, E, Cian, R, Dal Piccol, C, Pasqua, M, Di Prisco, A, Mantellato, L, Luison, M, Morgante, S, Santi, M, Sacillotto, M, Scabbio, M, Sponga, P, Sguotto, M, Stach, F, Vettorato, M, Martinello, G, Dassie, F, Marino, S, Cibiniel, L, Masetto, I, Cabianca, O, Valente, A, Caberlotto, L, Passoni, A, Flumian, P, Daniel, L, Gion, M, Stanziale, S, Alborino, F, Bortolozzo, V, Bacelle, L, Bicciato, L, Basso, D, Navaglia, F, Manoni, F, Ercolin, M, Giubilini, F, Imbesi, M, Leuci, E, Mazzi, F, Anelli, S, Amore, M, Bigi, L, Britta, W, Anna, G, Bonatti, U, Borziani, M, Crosato, S, Fabris, I, Galluccio, R, Galeotti, M, Gozzi, M, Greco, V, Guagnini, E, Pagani, S, Maccherozzi, S, Malvasi, R, Marchi, F, Melato, E, Mazzucchi, E, Marzullo, F, Pellegrini, P, Petrolini, N, Volta, P, Bonara, F, Brusamonti, E, Croci, R, Flamia, I, Fontana, F, Losi, R, Marchioro, R, Raffaini, L, Ruju, L, Saginario, A, Tondelli, M, Marrama, D, Bernardelli, L, Bonacini, F, Florindo, A, Merli, M, Nappo, P, Sola, L, Tondelli, O, Tonna, M, Torre, M, Tosatti, M, Venturelli, G, Zampolla, D, Bernardi, A, Cavalli, C, Cigala, L, Ciraudo, C, Di Bari, A, Ferri, L, Gombi, F, Leurini, S, Mandatelli, E, Maccaferri, S, Oroboncoide, M, Pisa, B, Ricci, C, Poggi, E, Zurlini, C, Malpeli, M, Colla, R, Teodori, E, Vecchia, L, D'Andrea, R, Trenti, T, Paolini, P, Carpeggiani, P, Ghigi, D, Gagliostro, M, Pratelli, M, Antonelli, A, Battistini, L, Bellini, F, Bonini, E, Capelli, C, Didomizio, C, Drei, C, Fucci, G, Gualandi, A, Grazia, M, Losi, A, Mazzoni, F, Marangoni, D, Monna, G, Morselli, M, Oggioni, A, Oprandi, S, Paganelli, W, Passerini, M, Piscitelli, M, Reggiani, G, Rossi, G, Salvatori, F, Trasforini, S, Uslenghi, C, Veggetti, S, Bartolucci, G, Baruffa, R, Bertelli, R, Borghi, L, Ciavarella, P, Paltrinieri, E, Rizzardi, F, Serra, P, Suzzi, D, Arienti, P, Aureli, F, Avanzi, R, Callegari, V, Corsino, A, Host, P, Michetti, R, Rizzo, F, Simoncelli, P, Soldati, E, Succi, E, Bertozzi, M, Canetti, E, Cavicchioli, L, Ceccarelli, E, Cenni, S, Marzola, G, Gallina, V, Leoni, C, Olivieri, A, Piccolo, E, Ravagli, S, Russo, R, Tedeschini, D, Verenini, M, Abram, W, Granata, V, Curcio, A, Guerra, G, Granini, S, Natali, L, Montanari, E, Pasi, F, Ventura, U, Valenti, S, Francesca, M, Farneti, R, Ravagli, P, Floris, R, Maroncelli, O, Volpones, G, Casali, D, Miceli, M, Bencini, A, Cellini, M, De Biase, L, Barbara, L, Charles, L, Pratesi, C, Tanini, A, Loparrino, R, Ulivelli, C, Cussoto, C, Dei, N, Fumanti, E, Pantani, M, Zeloni, G, Bellini, R, Cellesi, R, Dorigo, N, Gulli, P, Ialeggio, L, Pisanu, M, Rinaldi, G, Konze, A, Cocchi, A, Meneghelli, A, Frova, M, Monzani, E, Zanobio, A, Malagoli, M, Pagani, R, Barbera, S, Morganti, C, Amade, E, Brambilla, V, Montanari, A, Caterina, G, Lopez, C, Marocchi, A, Moletta, A, Sberna, M, Cascio, M, and Scarone, S

Subjects
Language Disorders, Multidisciplinary, Comprehension, Humans, Language, Neuropsychological Tests, Psychotic Disorders, Psychosis, Language Disorder, Psychosis, Language, Cognition, Neuropsychology, Cognition, Neuropsychology, Neuropsychological Test, Settore MED/25 - Psichiatria, Human
Abstract

Language production has often been described as impaired in psychiatric diseases such as in psychosis. Nevertheless, little is known about the characteristics of linguistic difficulties and their relation with other cognitive domains in patients with a first episode of psychosis (FEP), either affective or non-affective. To deepen our comprehension of linguistic profile in FEP, 133 patients with FEP (95 non-affective, FEP-NA; 38 affective, FEP-A) and 133 healthy controls (HC) were assessed with a narrative discourse task. Speech samples were systematically analyzed with a well-established multilevel procedure investigating both micro- (lexicon, morphology, syntax) and macro-linguistic (discourse coherence, pragmatics) levels of linguistic processing. Executive functioning and IQ were also evaluated. Both linguistic and neuropsychological measures were secondarily implemented with a machine learning approach in order to explore their predictive accuracy in classifying participants as FEP or HC. Compared to HC, FEP patients showed language production difficulty at both micro- and macro-linguistic levels. As for the former, FEP produced shorter and simpler sentences and fewer words per minute, along with a reduced number of lexical fillers, compared to HC. At the macro-linguistic level, FEP performance was impaired in local coherence, which was paired with a higher percentage of utterances with semantic errors. Linguistic measures were not correlated with any neuropsychological variables. No significant differences emerged between FEP-NA and FEP-A (p≥0.02, after Bonferroni correction). Machine learning analysis showed an accuracy of group prediction of 76.36% using language features only, with semantic variables being the most impactful. Such a percentage was enhanced when paired with clinical and neuropsychological variables. Results confirm the presence of language production deficits already at the first episode of the illness, being such impairment not related to other cognitive domains. The high accuracy obtained by the linguistic set of features in classifying groups support the use of machine learning methods in neuroscience investigations.

Published
2022

7. Neurobiologically Based Stratification of Recent- Onset Depression and Psychosis: Identification of Two Distinct Transdiagnostic Phenotypes

Author

Lalousis, PA, Schmaal, L, Wood, SJ, Reniers, RLEP, Barnes, NM, Chisholm, K, Griffiths, SL, Stainton, A, Wen, J, Hwang, G, Davatzikos, C, Wenzel, J, Kambeitz-Ilankovic, L, Andreou, C, Bonivento, C, Dannlowski, U, Ferro, A, Lichtenstein, T, Riecher-Rossler, A, Romer, G, Upthegrove, R, Lencer, R, Pantelis, C, Ruhrmann, S, Salokangas, RKR, Schultze-Lutter, F, Schmidt, A, Meisenzahl, E, Koutsouleris, N, Dwyer, D, Rosen, M, Bertolino, A, Borgwardt, S, Brambilla, P, Kambeitz, J, Lalousis, PA, Schmaal, L, Wood, SJ, Reniers, RLEP, Barnes, NM, Chisholm, K, Griffiths, SL, Stainton, A, Wen, J, Hwang, G, Davatzikos, C, Wenzel, J, Kambeitz-Ilankovic, L, Andreou, C, Bonivento, C, Dannlowski, U, Ferro, A, Lichtenstein, T, Riecher-Rossler, A, Romer, G, Upthegrove, R, Lencer, R, Pantelis, C, Ruhrmann, S, Salokangas, RKR, Schultze-Lutter, F, Schmidt, A, Meisenzahl, E, Koutsouleris, N, Dwyer, D, Rosen, M, Bertolino, A, Borgwardt, S, Brambilla, P, and Kambeitz, J

Abstract

BACKGROUND: Identifying neurobiologically based transdiagnostic categories of depression and psychosis may elucidate heterogeneity and provide better candidates for predictive modeling. We aimed to identify clusters across patients with recent-onset depression (ROD) and recent-onset psychosis (ROP) based on structural neuroimaging data. We hypothesized that these transdiagnostic clusters would identify patients with poor outcome and allow more accurate prediction of symptomatic remission than traditional diagnostic structures. METHODS: HYDRA (Heterogeneity through Discriminant Analysis) was trained on whole-brain volumetric measures from 577 participants from the discovery sample of the multisite PRONIA study to identify neurobiologically driven clusters, which were then externally validated in the PRONIA replication sample (n = 404) and three datasets of chronic samples (Centre for Biomedical Research Excellence, n = 146; Mind Clinical Imaging Consortium, n = 202; Munich, n = 470). RESULTS: The optimal clustering solution was two transdiagnostic clusters (cluster 1: n = 153, 67 ROP, 86 ROD; cluster 2: n = 149, 88 ROP, 61 ROD; adjusted Rand index = 0.618). The two clusters contained both patients with ROP and patients with ROD. One cluster had widespread gray matter volume deficits and more positive, negative, and functional deficits (impaired cluster), and one cluster revealed a more preserved neuroanatomical signature and more core depressive symptomatology (preserved cluster). The clustering solution was internally and externally validated and assessed for clinical utility in predicting 9-month symptomatic remission, outperforming traditional diagnostic structures. CONCLUSIONS: We identified two transdiagnostic neuroanatomically informed clusters that are clinically and biologically distinct, challenging current diagnostic boundaries in recent-onset mental health disorders. These results may aid understanding of the etiology of poor outcome patients transdiagnost

Published
2022

8. Relationships between global functioning and neuropsychological predictors in subjects at high risk of psychosis or with a recent onset of depression

Author

Squarcina, L, Kambeitz-Ilankovic, L, Bonivento, C, Prunas, C, Oldani, L, Wenzel, J, Ruef, A, Dwyer, D, Ferro, A, Borgwardt, S, Kambeitz, J, Lichtenstein, TK, Meisenzahl, E, Pantelis, C, Rosen, M, Upthegrove, R, Antonucci, LA, Bertolino, A, Lencer, R, Ruhrmann, S, Salokangas, RRK, Schultze-Lutter, F, Chisholm, K, Stainton, A, Wood, SJ, Koutsouleris, N, Brambilla, P, Squarcina, L, Kambeitz-Ilankovic, L, Bonivento, C, Prunas, C, Oldani, L, Wenzel, J, Ruef, A, Dwyer, D, Ferro, A, Borgwardt, S, Kambeitz, J, Lichtenstein, TK, Meisenzahl, E, Pantelis, C, Rosen, M, Upthegrove, R, Antonucci, LA, Bertolino, A, Lencer, R, Ruhrmann, S, Salokangas, RRK, Schultze-Lutter, F, Chisholm, K, Stainton, A, Wood, SJ, Koutsouleris, N, and Brambilla, P

Abstract

OBJECTIVE: Psychotic disorders are frequently associated with decline in functioning and cognitive difficulties are observed in subjects at clinical high risk (CHR) for psychosis. In this work, we applied automatic approaches to neurocognitive and functioning measures, with the aim of investigating the link between global, social and occupational functioning, and cognition. METHODS: 102 CHR subjects and 110 patients with recent onset depression (ROD) were recruited. Global assessment of functioning (GAF) related to symptoms (GAF-S) and disability (GAF-D). and global functioning social (GF-S) and role (GF-R), at baseline and of the previous month and year, and a set of neurocognitive measures, were used for classification and regression. RESULTS: Neurocognitive measures related to GF-R at baseline (r = 0.20, p = 0.004), GF-S at present (r = 0.14, p = 0.042) and of the past year (r = 0.19, p = 0.005), for GAF-F of the past month (r = 0.24, p < 0.001) and GAF-D of the past year (r = 0.28, p = 0.002). Classification reached values of balanced accuracy of 61% for GF-R and GAF-D. CONCLUSION: We found that neurocognition was related to psychosocial functioning. More specifically, a deficit in executive functions was associated to poor social and occupational functioning.

Published
2022

11. Robust Binary Control of Robotic Systems

Author

Bonivento, C., Melchiorri, C., Zanasi, R., Byrnes, Christopher I., editor, Amari, S.-I., editor, Anderson, B. D. O., editor, Åström, Karl Johan, editor, Aubin, Jean-Pierre, editor, Banks, H. T., editor, Baras, John S., editor, Bensoussan, A., editor, Burns, John, editor, Chen, Han-Fu, editor, Davis, M. H. A., editor, Fleming, Wendell, editor, Fliess, Michel, editor, Glover, Keith, editor, Hinrichsen, Diederich, editor, Isidori, Alberto, editor, Jakubczyk, B., editor, Kimura, Hidenori, editor, Krener, Arthur J., editor, Kunita, H., editor, Kurzhansky, Alexandre, editor, Kushner, Harold J., editor, Lindquist, Anders, editor, Manitius, Andrzej, editor, Martin, Clyde F., editor, Mitter, Sanjoy, editor, Picci, Giorgio, editor, Pshenichnyj, Boris, editor, Sussmann, H. J., editor, Tarn, Tzyh-Jong, editor, Tikhomirov, V. M., editor, Varaiya, Pravin P., editor, Willems, Jan C., editor, Wonham, W. M., editor, and Isidori, Albert, editor

Published
1992
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12. The Assertive Brain: Anterior Cingulate Creatine Levels Correlate With Self-Directedness in Healthy Adolescents

Author

Squarcina, L, Delvecchio, G, Nobile, M, Mauri, M, Madonna, D, Bonivento, C, Garzitto, M, Piccin, S, Molteni, M, Tomasino, B, Bressi, C, Fabbro, F, Stanley, J, Brambilla, P, Squarcina L, Delvecchio G, Nobile M, Mauri M, Madonna D, Bonivento C, Garzitto M, Piccin S, Molteni M, Tomasino B, Bressi C, Fabbro F, Stanley JA, Brambilla P., Squarcina, L, Delvecchio, G, Nobile, M, Mauri, M, Madonna, D, Bonivento, C, Garzitto, M, Piccin, S, Molteni, M, Tomasino, B, Bressi, C, Fabbro, F, Stanley, J, Brambilla, P, Squarcina L, Delvecchio G, Nobile M, Mauri M, Madonna D, Bonivento C, Garzitto M, Piccin S, Molteni M, Tomasino B, Bressi C, Fabbro F, Stanley JA, and Brambilla P.

Abstract

Despite various advances in the study of the neurobiological underpinnings of personality traits, the specific neural correlates associated with character and temperament traits are not yet fully understood. Therefore, this study aims to fill this gap by exploring the biochemical basis of personality, which is explored with the temperament and character inventory (TCI), during brain development in a sample of adolescents. Twenty-six healthy adolescents (aged between 13 and 21 years; 9 males and 18 females) with behavioral and emotional problems underwent a TCI evaluation and a 3T single-voxel proton magnetic resonance spectroscopy (H-1 MRS) acquisition of the anterior cingulate cortex (ACC). Absolute metabolite levels were estimated using LCModel: significant correlations between metabolite levels and selective TCI scales were identified. Specifically, phosphocreatine plus creatine (PCr+Cre) significantly correlated with self-directedness, positively, and with a self-transcendence (ST), negatively, while glycerophosphocholine plus phosphocholine (GPC+PC) and myo-inositol negatively correlated with ST. To the best of our knowledge, this is the first study reporting associations of brain metabolites with personality traits in adolescents. Therefore, our results represent a step forward for personality neuroscience within the study of biochemical systems and brain structures

Published
2019

14. Association between age of cannabis initiation and gray matter covariance networks in recent onset psychosis

Author

Penzel, N., Antonucci, L. A., Betz, L. T., Sanfelici, R., Weiske, J., Pogarell, O., Cumming, P., Quednow, B. B., Howes, O., Falkai, P., Upthegrove, R., Bertolino, A., Borgwardt, S., Brambilla, P., Lencer, R., Meisenzahl, E., Rosen, M., Haidl, T., Kambeitz-Ilankovic, L., Ruhrmann, S., Salokangas, R. R. K., Pantelis, C., Wood, S. J., Koutsouleris, N., Kambeitz, J., Sen Dong, M., Erkens, A., Gussmann, E., Haas, S., Hasan, A., Hoff, C., Khanyaree, I., Melo, A., Muckenhuber-Sternbauer, S., Kohler, J., Ozturk, O. F., Popovic, D., Rangnick, A., von Saldern, S., Spangemacher, M., Tupac, A., Urquijo, M. F., Wosgien, A., Betz, L., Blume, K., Seves, M., Kaiser, N., Pilgram, T., Lichtenstein, T., Wenzel, J., Woopen, C., Andreou, C., Egloff, L., Harrisberger, F., Lenz, C., Leanza, L., Mackintosh, A., Smieskova, R., Studerus, E., Walter, A., Widmayer, S., Chisholm, K., Day, C., Griffiths, S. L., Iqbal, M., Pelton, M., Mallikarjun, P., Stainton, A., Lin, A., Salokangas, R. K. R., Denissoff, A., Ellila, A., From, T., Heinimaa, M., Ilonen, T., Jalo, P., Laurikainen, H., Lehtinen, M., Luutonen, A., Makela, A., Paju, J., Pesonen, H., Armio (Saila), R. -L., Sormunen, E., Toivonen, A., Turtonen, O., Solana, A. B., Abraham, M., Hehn, N., Schirmer, T., Altamura, C., Belleri, M., Bottinelli, F., Ferro, A., Re, M., Monzani, E., Percudani, M., Sberna, M., D'Agostino, A., Del Fabro, L., Perna, G., Nobile, M., Alciati, A., Balestrieri, M., Bonivento, C., Cabras, G., Fabbro, F., Garzitto, M., Piccin, S., Blasi, G., Pergola, G., Caforio, G., Faio, L., Quarto, T., Gelao, B., Romano, R., Andriola, I., Falsetti, A., Barone, M., Passatiore, R., Sangiuliano, M., Surman, M., Bienek, O., Romer, G., Dannlowski, U., Schultze-Lutter, F., Schmidt-Kraepelin, C., Neufang, S., Korda, A., and Rohner, H.

Subjects
Psychosis, Adolescent, Inferior frontal gyrus, 610 Medicine & health, Article, medicine, Humans, Gray Matter, Association (psychology), Cannabis, Pharmacology, biology, business.industry, Confounding, medicine.disease, biology.organism_classification, Magnetic Resonance Imaging, Psychiatry and Mental health, Risk factors, Psychotic Disorders, Schizophrenia, Cohort, business, Insula, Neuroscience, Clinical psychology
Abstract

Cannabis use during adolescence is associated with an increased risk of developing psychosis. According to a current hypothesis, this results from detrimental effects of early cannabis use on brain maturation during this vulnerable period. However, studies investigating the interaction between early cannabis use and brain structural alterations hitherto reported inconclusive findings. We investigated effects of age of cannabis initiation on psychosis using data from the multicentric Personalized Prognostic Tools for Early Psychosis Management (PRONIA) and the Cannabis Induced Psychosis (CIP) studies, yielding a total sample of 102 clinically-relevant cannabis users with recent onset psychosis. GM covariance underlies shared maturational processes. Therefore, we performed source-based morphometry analysis with spatial constraints on structural brain networks showing significant alterations in schizophrenia in a previous multisite study, thus testing associations of these networks with the age of cannabis initiation and with confounding factors. Earlier cannabis initiation was associated with more severe positive symptoms in our cohort. Greater gray matter volume (GMV) in the previously identified cerebellar schizophrenia-related network had a significant association with early cannabis use, independent of several possibly confounding factors. Moreover, GMV in the cerebellar network was associated with lower volume in another network previously associated with schizophrenia, comprising the insula, superior temporal, and inferior frontal gyrus. These findings are in line with previous investigations in healthy cannabis users, and suggest that early initiation of cannabis perturbs the developmental trajectory of certain structural brain networks in a manner imparting risk for psychosis later in life.

Published
2021
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15. Effect of childhood physical abuse on social anxiety is mediated via reduced frontal lobe and amygdala-hippocampus complex volume in adult clinical high-risk subjects

Author

Salokangas, R. K. R., Hietala, J., Armio, R. L., Laurikainen, H., From, T., Borgwardt, S., Riecher-Rossler, A., Brambilla, P., Bonivento, C., Meisenzahl, E., Schultze-Lutter, F., Haidl, T., Ruhrmann, S., Upthegrove, R., Wood, S. J., Pantelis, C., Kambeitz-Ilankovic, L., Ruef, A., Dwyer, D. B., Kambeitz, J., Koutsouleris, N., Salokangas, R. K. R., Hietala, J., Armio, R. L., Laurikainen, H., From, T., Borgwardt, S., Riecher-Rossler, A., Brambilla, P., Bonivento, C., Meisenzahl, E., Schultze-Lutter, F., Haidl, T., Ruhrmann, S., Upthegrove, R., Wood, S. J., Pantelis, C., Kambeitz-Ilankovic, L., Ruef, A., Dwyer, D. B., Kambeitz, J., and Koutsouleris, N.

Abstract

Background: Childhood adverse experiences (CAE) are associated with clinical psychiatric disorders and symptoms, and with volumetric abnormalities in the amygdala-hippocampus complex (AmHiC) and frontal lobe (FroL) in adulthood. Aim: To study whether CAE are associated with reduced AmHiC and FroL and whether these structures mediate the effect of CAE on social anxiety and depression. Method: In seven European centres, 374 patients with recent onset of psychosis (n = 127), clinical high-risk to psychosis (n = 119) or recent onset of depression (n = 128) were scanned with MRI and their FroL and AmHiC volumes were measured. They all completed self-report scales for assessment of CAE, social anxiety and depression. Results: Of the CAE domains, physical abuse was associated specifically with reduced grey and white matter volumes of FroL and AmHiC in psychotic and high-risk patients. After controlling intracranial volume, PhyAb associated significantly with FroL and its grey matter volume in high-risk patients only. In mediation analyses, the effect of physical abuse on social anxiety was mediated via reduced FroL grey mater volume in high-risk patients. In them, when the effects of AmHiC and depression were controlled, the effect of physical abuse on social anxiety was mediated via FroL grey matter volume reduction. Conclusions: Childhood physical abuse is associated with reduced frontal lobe and amygdala-hippocampus complex volume in adult subjects with psychotic symptoms. Reduced frontal lobe and amygdala-hippocampus complex volume mediate the effect of physical abuse on social anxiety in high-risk patients. The effect of physical abuse on depression-independent social anxiety is mediated via reduced frontal lobe. (C) 2020 Elsevier B.V. All rights reserved.

Published
2021

16. Heterogeneity and Classification of Recent Onset Psychosis and Depression: A Multimodal Machine Learning Approach

Author

Lalousis, PA, Wood, SJ, Schmaal, L, Chisholm, K, Griffiths, S, Reniers, R, Bertolino, A, Borgwardt, S, Brambilla, P, Kambeitz, J, Lencer, R, Pantelis, C, Ruhrmann, S, Salokangas, RKR, Schultze-Lutter, F, Bonivento, C, Dwyer, DB, Ferro, A, Haidl, T, Rosen, M, Schmidt, A, Meisenzahl, E, Koutsouleris, N, Upthegrove, R, Lalousis, PA, Wood, SJ, Schmaal, L, Chisholm, K, Griffiths, S, Reniers, R, Bertolino, A, Borgwardt, S, Brambilla, P, Kambeitz, J, Lencer, R, Pantelis, C, Ruhrmann, S, Salokangas, RKR, Schultze-Lutter, F, Bonivento, C, Dwyer, DB, Ferro, A, Haidl, T, Rosen, M, Schmidt, A, Meisenzahl, E, Koutsouleris, N, and Upthegrove, R

Published
2021

17. Cognitive subtypes in recent onset psychosis: distinct neurobiological fingerprints?

Author

Wenzel, J, Haas, SS, Dwyer, DB, Ruef, A, Oeztuerk, OF, Antonucci, LA, von Saldern, S, Bonivento, C, Garzitto, M, Ferro, A, Paolini, M, Blautzik, J, Borgwardt, S, Brambilla, P, Meisenzahl, E, Salokangas, RKR, Upthegrove, R, Wood, SJ, Kambeitz, J, Koutsouleris, N, Kambeitz-Ilankovic, L, Wenzel, J, Haas, SS, Dwyer, DB, Ruef, A, Oeztuerk, OF, Antonucci, LA, von Saldern, S, Bonivento, C, Garzitto, M, Ferro, A, Paolini, M, Blautzik, J, Borgwardt, S, Brambilla, P, Meisenzahl, E, Salokangas, RKR, Upthegrove, R, Wood, SJ, Kambeitz, J, Koutsouleris, N, and Kambeitz-Ilankovic, L

Abstract

In schizophrenia, neurocognitive subtypes can be distinguished based on cognitive performance and they are associated with neuroanatomical alterations. We investigated the existence of cognitive subtypes in shortly medicated recent onset psychosis patients, their underlying gray matter volume patterns and clinical characteristics. We used a K-means algorithm to cluster 108 psychosis patients from the multi-site EU PRONIA (Prognostic tools for early psychosis management) study based on cognitive performance and validated the solution independently (N = 53). Cognitive subgroups and healthy controls (HC; n = 195) were classified based on gray matter volume (GMV) using Support Vector Machine classification. A cognitively spared (N = 67) and impaired (N = 41) subgroup were revealed and partially independently validated (Nspared = 40, Nimpaired = 13). Impaired patients showed significantly increased negative symptomatology (pfdr = 0.003), reduced cognitive performance (pfdr < 0.001) and general functioning (pfdr < 0.035) in comparison to spared patients. Neurocognitive deficits of the impaired subgroup persist in both discovery and validation sample across several domains, including verbal memory and processing speed. A GMV pattern (balanced accuracy = 60.1%, p = 0.01) separating impaired patients from HC revealed increases and decreases across several fronto-temporal-parietal brain areas, including basal ganglia and cerebellum. Cognitive and functional disturbances alongside brain morphological changes in the impaired subgroup are consistent with a neurodevelopmental origin of psychosis. Our findings emphasize the relevance of tailored intervention early in the course of psychosis for patients suffering from the likely stronger neurodevelopmental character of the disease.

Published
2021

18. The Assertive Brain: Anterior Cingulate Creatine Levels Correlate With Self-Directedness in Healthy Adolescents

Author

Squarcina L, Delvecchio G, Nobile M, Mauri M, Madonna D, Bonivento C, Garzitto M, Piccin S, Molteni M, Tomasino B, Bressi C, Fabbro F, Stanley JA, Brambilla P., Squarcina, L, Delvecchio, G, Nobile, M, Mauri, M, Madonna, D, Bonivento, C, Garzitto, M, Piccin, S, Molteni, M, Tomasino, B, Bressi, C, Fabbro, F, Stanley, J, and Brambilla, P

Subjects
temperament character inventory, brain metabolism, adolescence, brain biochemistry, magnetic resonance spectroscopy
Abstract

Despite various advances in the study of the neurobiological underpinnings of personality traits, the specific neural correlates associated with character and temperament traits are not yet fully understood. Therefore, this study aims to fill this gap by exploring the biochemical basis of personality, which is explored with the temperament and character inventory (TCI), during brain development in a sample of adolescents. Twenty-six healthy adolescents (aged between 13 and 21 years; 9 males and 18 females) with behavioral and emotional problems underwent a TCI evaluation and a 3T single-voxel proton magnetic resonance spectroscopy (H-1 MRS) acquisition of the anterior cingulate cortex (ACC). Absolute metabolite levels were estimated using LCModel: significant correlations between metabolite levels and selective TCI scales were identified. Specifically, phosphocreatine plus creatine (PCr+Cre) significantly correlated with self-directedness, positively, and with a self-transcendence (ST), negatively, while glycerophosphocholine plus phosphocholine (GPC+PC) and myo-inositol negatively correlated with ST. To the best of our knowledge, this is the first study reporting associations of brain metabolites with personality traits in adolescents. Therefore, our results represent a step forward for personality neuroscience within the study of biochemical systems and brain structures

Published
2019

21. Cognitive subtypes in recent onset psychosis: distinct neurobiological fingerprints?

Author

Wenzel, J., Haas, S. S., Dwyer, D. B., Ruef, A., Oeztuerk, O. F., Antonucci, L. A., von Saldern, S., Bonivento, C., Garzitto, M., Ferro, A., Paolini, M., Blautzik, J., Borgwardt, S., Brambilla, P., Meisenzahl, E., Salokangas, R. K. R., Upthegrove, R., Wood, S. J., Kambeitz, J., Koutsouleris, N., Kambeitz-Ilankovic, L., Sen Dong, M., Erkens, A., Gussmann, E., Haas, S., Hasan, A., Hoff, C., Khanyaree, I., Melo, A., Muckenhuber-Sternbauer, S., Kohler, J., Popovic, D., Penzel, N., Rangnick, A., Sanfelici, R., Spangemacher, M., Tupac, A., Urquijo, M. F., Weiske, J., Wosgien, A., Ruhrmann, S., Rosen, M., Betz, L., Haidl, T., Blume, K., Seves, M., Kaiser, N., Pilgram, T., Lichtenstein, T., Woopen, C., Andreou, C., Egloff, L., Harrisberger, F., Lenz, C., Leanza, L., Mackintosh, A., Smieskova, R., Studerus, E., Walter, A., Widmayer, S., Chisholm, K., Day, C., Griffiths, S. L., Iqbal, M., Lalousis, P., Pelton, M., Mallikarjun, P., Stainton, A., Lin, A., Denissoff, A., Ellila, A., Tiina From, R. N., Heinimaa, M., Ilonen, T., Jalo, P., Heikki Laurikainen, R. N., Lehtinen, M., Antti Luutonen, R. N., Makela, A., Paju, J., Pesonen, H., Armio (Saila), R. -L., Sormunen, E., Toivonen, A., Turtonen, O., Solana, A. B., Abraham, M., Hehn, N., Schirmer, T., Altamura, C., Belleri, M., Bottinelli, F., Re, M., Monzani, E., Percudani, M., Sberna, M., D'Agostino, A., Del Fabro, L., Menni, V. S. B., Perna, G., Nobile, M., Alciati, A., Balestrieri, M., Cabras, G., Fabbro, F., Piccin, S., Bertolino, A., Blasi, G., Pergola, G., Caforio, G., Faio, L., Quarto, T., Gelao, B., Romano, R., Andriola, I., Falsetti, A., Barone, M., Passatiore, R., Sangiuliano, M., Lencer, R., Surman, M., Bienek, O., Romer, G., Dannlowski, U., Schultze-Lutter, F., Schmidt-Kraepelin, C., Neufang, S., Korda, A., and Rohner, H.

Subjects
medicine.medical_specialty, Psychosis, Audiology, Article, Cognition, Social cognition, medicine, Humans, Effects of sleep deprivation on cognitive performance, Gray Matter, Pharmacology, medicine.diagnostic_test, business.industry, Brain, Diagnostic markers, Cognitive neuroscience, Neuropsychological test, medicine.disease, Psychiatry and Mental health, Psychotic Disorders, Schizophrenia, Verbal memory, business, Neurocognitive
Abstract

In schizophrenia, neurocognitive subtypes can be distinguished based on cognitive performance and they are associated with neuroanatomical alterations. We investigated the existence of cognitive subtypes in shortly medicated recent onset psychosis patients, their underlying gray matter volume patterns and clinical characteristics. We used a K-means algorithm to cluster 108 psychosis patients from the multi-site EU PRONIA (Prognostic tools for early psychosis management) study based on cognitive performance and validated the solution independently (N = 53). Cognitive subgroups and healthy controls (HC; n = 195) were classified based on gray matter volume (GMV) using Support Vector Machine classification. A cognitively spared (N = 67) and impaired (N = 41) subgroup were revealed and partially independently validated (Nspared = 40, Nimpaired = 13). Impaired patients showed significantly increased negative symptomatology (pfdr = 0.003), reduced cognitive performance (pfdr pfdr p = 0.01) separating impaired patients from HC revealed increases and decreases across several fronto-temporal-parietal brain areas, including basal ganglia and cerebellum. Cognitive and functional disturbances alongside brain morphological changes in the impaired subgroup are consistent with a neurodevelopmental origin of psychosis. Our findings emphasize the relevance of tailored intervention early in the course of psychosis for patients suffering from the likely stronger neurodevelopmental character of the disease.

Published
2020

22. P.036 The assertive brain: phosphocreatine plus creatine levels from the anterior cingulate correlates with self-directness in healthy adolescents

Author

Madonna, D., primary, Squarcina, L., additional, Delvecchio, G., additional, Nobile, M., additional, Mauri, M., additional, Bonivento, C., additional, Garzitto, M., additional, Piccin, S., additional, Molteni, M., additional, Tomasino, B., additional, Bressi, C., additional, Fabbro, F., additional, Stanley a, J., additional, and Brambilla, P., additional

Published
2019
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24. Latent classes of emotional and behavioural problems in epidemiological and referred samples and their relations to DSM-IV diagnoses

Author

Bianchi, V, Brambilla, P, Garzitto, M, Colombo, P, Fornasari, L, Bellina, M, Bonivento, C, Tesei, A, Piccin, S, Conte, S, Perna, G, Frigerio, A, Castiglioni, I, Fabbro, F, Molteni, M, Nobile, M, Bianchi V, Brambilla P, Garzitto M, Colombo P, Fornasari L, Bellina M, Bonivento C, Tesei A, Piccin S, Conte S, Perna G, frigerio A, CASTIGLIONI I, Fabbro F, Molteni M, Nobile M, Bianchi, V, Brambilla, P, Garzitto, M, Colombo, P, Fornasari, L, Bellina, M, Bonivento, C, Tesei, A, Piccin, S, Conte, S, Perna, G, Frigerio, A, Castiglioni, I, Fabbro, F, Molteni, M, Nobile, M, Bianchi V, Brambilla P, Garzitto M, Colombo P, Fornasari L, Bellina M, Bonivento C, Tesei A, Piccin S, Conte S, Perna G, frigerio A, CASTIGLIONI I, Fabbro F, Molteni M, and Nobile M

Abstract

Researchers’ interest have recently moved toward the identification of recurrent psychopathological profiles characterized by concurrent elevations on different behavioural and emotional traits. This new strategy turned to be useful in terms of diagnosis and outcome prediction. We used a person-centred statistical approach to examine whether different groups could be identified in a referred sample and in a general-population sample of children and adolescents, and we investigated their relation to DSM-IV diagnoses. A latent class analysis (LCA) was performed on the Child Behaviour Checklist (CBCL) syndrome scales of the referred sample (N = 1225), of the general-population sample (N = 3418), and of the total sample. Models estimating 1-class through 5-class solutions were compared and agreement in the classification of subjects was evaluated. Chi square analyses, a logistic regression, and a multinomial logistic regression analysis were used to investigate the relations between classes and diagnoses. In the two samples and in the total sample, the best-fitting models were 4-class solutions. The identified classes were Internalizing Problems (15.68%), Severe Dysregulated (7.82%), Attention/Hyperactivity (10.19%), and Low Problems (66.32%). Subsequent analyses indicated a significant relationship between diagnoses and classes as well as a main association between the severe dysregulated class and comorbidity. Our data suggested the presence of four different psychopathological profiles related to different outcomes in terms of psychopathological diagnoses. In particular, our results underline the presence of a profile characterized by severe emotional and behavioural dysregulation that is mostly associated with the presence of multiple diagnosis.

Published
2017

28. State and parameter estimation approach to monitoring AGR nuclear core

Author

Bonivento, C., Grimble, M.J., Giovanini, L., Monari, M., Paoli, A., PICCI G., VALCHER M.E., Bonivento C., Grimble M.J., Giovanini L., Monari M., and Paoli A.

Subjects
TK, SYSTEM MONITORING, KALMAN FILTERING, NUCLEAR REACTOR, FAULT DIAGNOSIS
Abstract

The purpose of this work is to present a monitoring system based on analytical redundancy and directional residual generation using measurements obtained during the refueling process. In short this problem consists of building an unknown input observer with the role to estimate the friction force produced by the interaction between the wall of the fuel channel and the fuel assembly supporting brushes. This let to estimate the shape of the graphite bricks that comprise the core and, therefore, monitor any distortion of them. The theoretical machinery exploited in this work is the Kalman filter theory, which is used to estimate the information above mentioned.

Published
2007

30. CONTROL SYSTEM DESIGN OF A DEXTEROUS HAND FOR INDUSTRIAL ROBOTS**The work is framed in the context of an interdisciplinary research programme between DEIS and DIEM (Dipartimento di Ingegneria delle Costruzioni Meccaniche, Nucleari, Aereonautiche e di Metallurgia), both of the University of Bologna, with the support of IBM Italia.

Author

Bonivento, C., primary, Caselli, S., additional, Faldella, E., additional, Melchiorri, C., additional, and Tonielli, A., additional

Published
1989
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32. P.2.d.048 COMT modulates working memory and impulsivity control in bipolar disorder

Author

Piccin, S., primary, Bonivento, C., additional, Fabbro, D., additional, Marinelli, V., additional, Bellani, M., additional, Paoli, R.A., additional, Caletti, E., additional, Cigliobianco, M., additional, Marsano, A., additional, Sala, M., additional, Abbiati, V., additional, Cappucciati, M., additional, Dusi, N., additional, Perlini, C., additional, Ruggeri, M., additional, Altamura, A.C., additional, Serretti, A., additional, Balestrieri, M., additional, Damante, G., additional, and Brambilla, P., additional

Published
2014
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34. A dexterous gripper for space robotics

Author

Bonivento, C., Melchiorri, C., Vassura, G., Ferretti, Gianni, Maffezzoni, Claudio, Magnani, Gianantonio, Caselli, S., and Zanichelli, F.

Published
1999

35. Fuzzy Logic Expert System for Automatic Tuning of Myoelectric Prostheses

Author

Bonivento, C., Angelo Davalli, Fantuzzi, C., and Terenzi, S.

Abstract

The paper presents a software package for automatic tuning of control parameters of myoelectric prosthesis. The prosthesis system is the INAIL artificial arm controlled by a microprocessor using myoelectric signals acquired from skin-surface electrodes placed on the patient muscle stump. Usually, qualified staff is necessary for control parameters set-up and subsequent recurrent adjustments, and therefore patients are forced to come back frequently at prosthesis factory laboratories. The proposed software interacts with unskilled patients and automatically set up the control parameters of the prosthesis using qualified staff knowledge stored in a Fuzzy Logic Expert System (FLES). In this paper the software package is presented and some preliminary results from its application are discussed.

Published
1997

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