CALESELLA, FEDERICO
 Distribuzione geografica
Continente #
EU - Europa 186
AS - Asia 165
NA - Nord America 143
OC - Oceania 3
AF - Africa 2
SA - Sud America 2
Totale 501
Nazione #
US - Stati Uniti d'America 138
IT - Italia 88
CN - Cina 58
SG - Singapore 57
SE - Svezia 26
RU - Federazione Russa 15
DE - Germania 13
GB - Regno Unito 12
HK - Hong Kong 11
IR - Iran 10
ES - Italia 9
PK - Pakistan 6
FI - Finlandia 5
JP - Giappone 5
CA - Canada 4
KR - Corea 4
TR - Turchia 4
IN - India 3
NL - Olanda 3
AU - Australia 2
BR - Brasile 2
FR - Francia 2
GR - Grecia 2
IE - Irlanda 2
LT - Lituania 2
NO - Norvegia 2
PL - Polonia 2
PT - Portogallo 2
TH - Thailandia 2
BE - Belgio 1
EG - Egitto 1
IQ - Iraq 1
LK - Sri Lanka 1
MO - Macao, regione amministrativa speciale della Cina 1
MX - Messico 1
MY - Malesia 1
NG - Nigeria 1
NZ - Nuova Zelanda 1
PH - Filippine 1
Totale 501
Città #
Singapore 48
Milan 31
Shanghai 26
Ashburn 25
Boardman 12
Rome 12
Washington 7
Hong Kong 6
Moscow 6
New York 6
Dallas 5
Lawrence 5
Los Angeles 5
Princeton 5
Barcelona 4
Desio 4
Istanbul 4
Lissone 4
Tempe 4
Athens 3
Chions 3
Guangzhou 3
Helsinki 3
Los Alamos 3
Pune 3
Shenzhen 3
Sialkot 3
Toronto 3
Alcalá de Henares 2
Cambridge 2
Camden 2
Conegliano 2
Coventry 2
Didcot 2
Dublin 2
Fremont 2
Gangbuk-gu 2
Goiânia 2
Hangzhou 2
Islington 2
Lappeenranta 2
Lodz 2
Marinha Grande 2
Munich 2
Newcastle upon Tyne 2
Palosco 2
Pattaya 2
Qom 2
Sant'Arpino 2
Seattle 2
Segovia 2
Sydney 2
Ueda 2
Wuxi 2
Amsterdam 1
Ann Arbor 1
Aversa 1
Basra 1
Beijing 1
Bergen 1
Berlin 1
Blue Bell 1
Boston 1
Brescia 1
Brussels 1
Cairo 1
Cassolnovo 1
Changchun 1
Chaozhou 1
Cheyenne 1
Christchurch 1
Colombo 1
Düsseldorf 1
Falkenstein 1
Frankfurt am Main 1
Fuenlabrada 1
Harbin 1
Hefei 1
Islamabad 1
Lagos 1
Lanzhou 1
Las Piñas 1
Lebanon 1
Longueuil 1
Malverne 1
Monterrey 1
Nanchang 1
Nanjing 1
Notodden 1
Nuremberg 1
Pordenone 1
Reston 1
Seongnam-si 1
Seoul 1
Shah Alam 1
Taizhou 1
Takasago 1
Tehran 1
Tokyo 1
Trino 1
Totale 344
Nome #
COGNITIVE IMPAIRMENT IN MOOD DISORDERS: NEUROPSYCHOLOGY, MULTIMODAL BRAIN IMAGING, AND THE EFFECT OF NEUROINFLAMMATION 126
Machine learning approaches for prediction of bipolar disorder based on biological, clinical and neuropsychological markers: A systematic review and meta-analysis 51
A peripheral inflammatory signature discriminates bipolar from unipolar depression: A machine learning approach 36
Reduced cortico-limbic habituation identifies bipolar depressed suicide attempers: a machine learning study 31
One-year mental health outcomes in a cohort of COVID-19 survivors 27
Long-term effect of childhood trauma: Role of inflammation and white matter in mood disorders 26
Insulin resistance disrupts white matter microstructure and amplitude of functional spontaneous activity in Bipolar Disorder 25
Circulating inflammatory markers impact cognitive functions in bipolar depression 25
Reduced corticolimbic habituation to negative stimuli characterizes bipolar depressed suicide attempters 22
Higher Interleukin 13 differentiates patients with a positive history of suicide attempts in major depressive disorder 20
Identifying suicide attempters among bipolar depressed patients using structural neuroimaging: a machine learning study 18
The functional connectome in obsessive-compulsive disorder: resting-state mega-analysis and machine learning classification for the ENIGMA-OCD consortium 16
Investigating predictive factors of dialectical behavior therapy skills training efficacy for alcohol and concurrent substance use disorders: A machine learning study 16
Choroid plexus volume is increased in mood disorders and associates with circulating inflammatory cytokines 15
White matter diffusion estimates in obsessive-compulsive disorder across 1653 individuals: machine learning findings from the ENIGMA OCD Working Group 12
Multimodal brain-derived subtypes of Major depressive disorder differentiate patients for anergic symptoms, immune-inflammatory markers, history of childhood trauma and treatment-resistance 11
Multi-Scale Assessment of Harmonization Efficacy on Resting-State Functional Connectivity 7
Machine learning approaches for prediction of bipolar disorder based on biological, clinical and neuropsychological markers: a systematic review and meta-analysis 7
Inflammatory Markers Predict Blood Neurofilament Light Chain Levels in Acute COVID-19 Patients 6
Predicting cognitive impairment in depression: a machine learning approach on multimodal structural neuroimaging 6
Unsupervised neurobiologically-driven stratification of clinical heterogeneity in treatment-resistant depression 5
Prediction of cognitive impairment in mood disorders using multimodal structural neuroimaging: a machine learning study 5
Functional neuroimaging for the differentiation between healthy controls, depressed bipolar and major depressive patients: a machine learning study 4
Cognitive distortions and structural neuroimaging data predict depression severity in unipolar and bipolar depression: a machine learning study 4
Data-driven stratification of depressed patients based on structural neuroimaging signatures: a stability-based relative clustering validation approach 4
A machine learning pipeline for efficient differentiation between depressed bipolar disorder and major depressive disorder patients based on structural neuroimaging 4
Machine learning signature in differentiating bipolar and unipolar depression with multimodal structural neuroimaging data and neuropsychology 4
Predicting Suicide Attempts among Major Depressive Disorder Patients with Structural Neuroimaging: A Machine Learning Approach 4
Predicting unipolar and bipolar depression using inflammatory markers, neuroimaging and neuropsychological data: a machine learning study 3
Immune-inflammation and structural neuroimaging differentiate bipolar and unipolar depression: a machine learning study 3
Moving beyond clinical approaches: machine learning on neuroimaging and cognitive features for the differential diagnosis between unipolar and bipolar depression 3
Combining clinical data, genetics, and adverse childhood experiences for suicidality prediction in mood disorders: a machine learning approach 3
Unsupervised neurobiology-driven stratification of clinical heterogeneity in depression 1
Totale 550
Categoria #
all - tutte 4.422
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 4.422


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/20211 0 0 0 0 0 0 1 0 0 0 0 0
2021/202214 3 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
2024/2025268 42 22 32 49 81 42 0 0 0 0 0 0
Totale 550