IRIS
CALESELLA, FEDERICO
 Distribuzione geografica
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Continente #
EU - Europa 1.737
NA - Nord America 1.328
AS - Asia 1.128
SA - Sud America 185
Continente sconosciuto - Info sul continente non disponibili 104
AF - Africa 42
OC - Oceania 7
Totale 4.531
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Nazione #
US - Stati Uniti d'America 1.258
RU - Federazione Russa 883
IT - Italia 385
SG - Singapore 373
CN - Cina 296
BR - Brasile 150
HK - Hong Kong 129
DE - Germania 120
VN - Vietnam 109
GB - Regno Unito 71
FR - Francia 58
FI - Finlandia 50
CA - Canada 40
IN - India 40
SE - Svezia 40
BD - Bangladesh 28
NL - Olanda 28
IR - Iran 22
ES - Italia 20
MX - Messico 19
PL - Polonia 19
TR - Turchia 19
AT - Austria 17
JP - Giappone 16
IQ - Iraq 14
CO - Colombia 12
IL - Israele 12
KR - Corea 12
NG - Nigeria 12
MY - Malesia 11
PK - Pakistan 11
ZA - Sudafrica 10
AR - Argentina 8
TW - Taiwan 8
IE - Irlanda 7
LT - Lituania 7
MA - Marocco 7
UA - Ucraina 7
TN - Tunisia 6
AM - Armenia 5
GR - Grecia 5
VE - Venezuela 5
AU - Australia 4
EC - Ecuador 4
ID - Indonesia 4
CL - Cile 3
CZ - Repubblica Ceca 3
HU - Ungheria 3
NO - Norvegia 3
RO - Romania 3
AE - Emirati Arabi Uniti 2
AZ - Azerbaigian 2
BS - Bahamas 2
BY - Bielorussia 2
EG - Egitto 2
GE - Georgia 2
JM - Giamaica 2
KE - Kenya 2
KH - Cambogia 2
NZ - Nuova Zelanda 2
PH - Filippine 2
PR - Porto Rico 2
PT - Portogallo 2
SA - Arabia Saudita 2
TH - Thailandia 2
UZ - Uzbekistan 2
BB - Barbados 1
BE - Belgio 1
BG - Bulgaria 1
BO - Bolivia 1
DK - Danimarca 1
GD - Grenada 1
GH - Ghana 1
LK - Sri Lanka 1
LV - Lettonia 1
LY - Libia 1
MO - Macao, regione amministrativa speciale della Cina 1
NI - Nicaragua 1
PA - Panama 1
PE - Perù 1
PY - Paraguay 1
SN - Senegal 1
SV - El Salvador 1
TV - Tuvalu 1
YE - Yemen 1
Totale 4.427
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Città #
Singapore 242
Dallas 210
Ashburn 171
Moscow 166
Hong Kong 116
Milan 116
San Jose 97
Beijing 66
Munich 52
Council Bluffs 50
Boardman 47
New York 47
Los Angeles 45
Santa Clara 42
Shanghai 42
Hefei 39
Rome 37
Lauterbourg 33
Hanoi 30
Ho Chi Minh City 30
Turku 30
The Dalles 28
São Paulo 27
Nuremberg 24
Denver 20
Orem 20
Washington 20
Boston 17
Helsinki 14
Warsaw 14
Frankfurt am Main 13
Stockholm 12
Toronto 12
Lagos 11
Mexico City 11
Phoenix 11
Tokyo 11
Brooklyn 10
Montreal 10
Poplar 10
Seattle 10
Atlanta 9
Bologna 9
Chennai 9
Haiphong 9
Houston 9
London 9
Cambridge 8
Monza 8
Amsterdam 7
Da Nang 7
Dublin 7
Florence 7
Istanbul 7
Johannesburg 7
Mumbai 7
Tel Aviv 7
Athens 6
Brescia 6
Chicago 6
Cyberjaya 6
Lissone 6
New Delhi 6
Vienna 6
Ankara 5
Bari 5
Barnet 5
Figino 5
Lappeenranta 5
Lawrence 5
Manchester 5
Naples 5
Paris 5
Princeton 5
Pune 5
Yerevan 5
Baghdad 4
Barcelona 4
Belo Horizonte 4
Brasília 4
Bursa 4
Camden 4
Desio 4
Falkenstein 4
Goito 4
Guangzhou 4
Newark 4
Querétaro 4
San Francisco 4
Sant'Arpino 4
Santa Cruz do Sul 4
St Louis 4
Tempe 4
Vancouver 4
Bergamo 3
Bogotá 3
Buffalo 3
Caianello 3
Casablanca 3
Catania 3
Totale 2.331
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Nome #
COGNITIVE IMPAIRMENT IN MOOD DISORDERS: NEUROPSYCHOLOGY, MULTIMODAL BRAIN IMAGING, AND THE EFFECT OF NEUROINFLAMMATION 386
A peripheral inflammatory signature discriminates bipolar from unipolar depression: A machine learning approach 179
Long-term effect of childhood trauma: Role of inflammation and white matter in mood disorders 150
A machine learning pipeline for efficient differentiation between bipolar and major depressive disorder based on multimodal structural neuroimaging 141
A Longitudinal Prediction of Suicide Attempts in Borderline Personality Disorder: A Machine Learning Study 139
Cognitive distortions and structural neuroimaging data predict depression severity in unipolar and bipolar depression: a machine learning study 137
Choroid plexus volume is increased in mood disorders and associates with circulating inflammatory cytokines 136
One-year mental health outcomes in a cohort of COVID-19 survivors 124
Machine learning approaches for prediction of bipolar disorder based on biological, clinical and neuropsychological markers: A systematic review and meta-analysis 121
Cardiovascular Risk Predicts White Matter Hyperintensities, Brain Atrophy and Treatment Resistance in Major Depressive Disorder: Role of Genetic Liability 120
Insulin resistance disrupts white matter microstructure and amplitude of functional spontaneous activity in Bipolar Disorder 119
A machine learning pipeline for efficient differentiation between depressed bipolar disorder and major depressive disorder patients based on structural neuroimaging 113
Moving beyond clinical approaches: machine learning on neuroimaging and cognitive features for the differential diagnosis between unipolar and bipolar depression 111
Identifying suicide attempters among bipolar depressed patients using structural neuroimaging: a machine learning study 109
Reduced corticolimbic habituation to negative stimuli characterizes bipolar depressed suicide attempters 109
Combining clinical data, genetics, and adverse childhood experiences for suicidality prediction in mood disorders: a machine learning approach 108
Multimodal brain-derived subtypes of Major depressive disorder differentiate patients for anergic symptoms, immune-inflammatory markers, history of childhood trauma and treatment-resistance 107
Reduced cortico-limbic habituation identifies bipolar depressed suicide attempers: a machine learning study 106
Machine learning approaches for prediction of bipolar disorder based on biological, clinical and neuropsychological markers: a systematic review and meta-analysis 105
Functional neuroimaging for the differentiation between healthy controls, depressed bipolar and major depressive patients: a machine learning study 104
Circulating inflammatory markers impact cognitive functions in bipolar depression 103
Inflammatory Markers Predict Blood Neurofilament Light Chain Levels in Acute COVID-19 Patients 102
Predicting cognitive impairment in depression: a machine learning approach on multimodal structural neuroimaging 102
Circulating inflammatory markers predict depressive symptomatology in COVID-19 survivors 101
Higher Interleukin 13 differentiates patients with a positive history of suicide attempts in major depressive disorder 98
Data-driven stratification of depressed patients based on structural neuroimaging signatures: a stability-based relative clustering validation approach 92
White matter diffusion estimates in obsessive-compulsive disorder across 1653 individuals: machine learning findings from the ENIGMA OCD Working Group 91
Unsupervised neurobiologically-driven stratification of clinical heterogeneity in treatment-resistant depression 89
Assessment of ComBat Harmonization Performance on Structural Magnetic Resonance Imaging Measurements 87
Predicting unipolar and bipolar depression using inflammatory markers, neuroimaging and neuropsychological data: a machine learning study 86
Immune-inflammation and structural neuroimaging differentiate bipolar and unipolar depression: a machine learning study 84
Machine learning signature in differentiating bipolar and unipolar depression with multimodal structural neuroimaging data and neuropsychology 84
Prediction of cognitive impairment in mood disorders using multimodal structural neuroimaging: a machine learning study 81
The functional connectome in obsessive-compulsive disorder: resting-state mega-analysis and machine learning classification for the ENIGMA-OCD consortium 77
Executive Function in Obsessive-Compulsive Disorder: A Worldwide Mega-Analysis of Task-Based Functional Neuroimaging Data of the ENIGMA-OCD Consortium 77
Unsupervised neurobiology-driven stratification of clinical heterogeneity in depression 70
Investigating predictive factors of dialectical behavior therapy skills training efficacy for alcohol and concurrent substance use disorders: A machine learning study 70
Multi-Scale Assessment of Harmonization Efficacy on Resting-State Functional Connectivity 68
Differences in resting-state functional connectivity between depressed bipolar and major depressive disorder patients: A machine learning study 68
Predicting Suicide Attempts among Major Depressive Disorder Patients with Structural Neuroimaging: A Machine Learning Approach 66
Adverse childhood experiences differently affect Theory of Mind brain networks in schizophrenia and healthy controls 61
Can Machine Learning predict therapeutic outcomes in affective and not affective psychosis? A systematic review and meta-analysis 16
Shift to the core: Abnormal core-periphery global topography in unipolar and bipolar depression 10
Psychological and sociodemographic variables correlated with SARS-CoV-2 vaccine hesitancy in Italy 9
Biotypes of deeply phenotyped depressed patients reflect signatures of adverse childhood experience and depressive cognitive biases 8
Spontaneous neural activity mediates the effect of adverse childhood experiences on negative cognitive styles in mood disorders: a multivariate approach 7
Totale 4.531
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Categoria #
all - tutte 17.114
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 17.114
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2021/202211 0 0 0 2 0 1 0 1 5 1 0 1
2022/202371 11 10 3 6 5 6 4 4 14 1 1 6
2023/2024196 6 11 24 13 16 24 2 18 6 14 27 35
2024/2025908 42 22 32 49 81 61 112 81 106 60 114 148
2025/20263.061 251 208 201 401 269 182 209 262 769 165 59 85
2026/2027280 167 113 0 0 0 0 0 0 0 0 0 0
Totale 4.531