Search details
1.
Using brain structural neuroimaging measures to predict psychosis onset for individuals at clinical high-risk.
Mol Psychiatry
; 2024 Feb 09.
Article
in English
| MEDLINE | ID: mdl-38332374
2.
Sex differences in predictors and regional patterns of brain age gap estimates.
Hum Brain Mapp
; 43(15): 4689-4698, 2022 10 15.
Article
in English
| MEDLINE | ID: mdl-35790053
3.
The clinical relevance of formal thought disorder in the early stages of psychosis: results from the PRONIA study.
Eur Arch Psychiatry Clin Neurosci
; 272(3): 403-413, 2022 Apr.
Article
in English
| MEDLINE | ID: mdl-34535813
4.
BrainAGE, brain health, and mental disorders: A systematic review.
Neurosci Biobehav Rev
; 159: 105581, 2024 Apr.
Article
in English
| MEDLINE | ID: mdl-38354871
5.
Transdiagnostic subgroups of cognitive impairment in early affective and psychotic illness.
Neuropsychopharmacology
; 49(3): 573-583, 2024 Feb.
Article
in English
| MEDLINE | ID: mdl-37737273
6.
Alterations of Functional Connectivity Dynamics in Affective and Psychotic Disorders.
Biol Psychiatry Cogn Neurosci Neuroimaging
; 2024 Mar 08.
Article
in English
| MEDLINE | ID: mdl-38461964
7.
Normative modelling of brain morphometry across the lifespan with CentileBrain: algorithm benchmarking and model optimisation.
Lancet Digit Health
; 6(3): e211-e221, 2024 Mar.
Article
in English
| MEDLINE | ID: mdl-38395541
8.
Normative Modeling of Brain Morphometry in Clinical High Risk for Psychosis.
JAMA Psychiatry
; 81(1): 77-88, 2024 Jan 01.
Article
in English
| MEDLINE | ID: mdl-37819650
9.
Reduced neural connectivity in the caudate anterior head predicts hallucination severity in schizophrenia.
Schizophr Res
; 261: 1-5, 2023 11.
Article
in English
| MEDLINE | ID: mdl-37678144
10.
Structural and Functional Brain Patterns Predict Formal Thought Disorder's Severity and Its Persistence in Recent-Onset Psychosis: Results From the PRONIA Study.
Biol Psychiatry Cogn Neurosci Neuroimaging
; 8(12): 1207-1217, 2023 12.
Article
in English
| MEDLINE | ID: mdl-37343661
11.
Normative modeling of brain morphometry in Clinical High-Risk for Psychosis.
bioRxiv
; 2023 Jan 18.
Article
in English
| MEDLINE | ID: mdl-36711551
12.
Normative Modeling of Brain Morphometry Across the Lifespan Using CentileBrain: Algorithm Benchmarking and Model Optimization.
bioRxiv
; 2023 Dec 02.
Article
in English
| MEDLINE | ID: mdl-38076938
13.
Lower functional hippocampal connectivity in healthy adults is jointly associated with higher levels of leptin and insulin resistance.
Eur Psychiatry
; 65(1): e29, 2022 05 02.
Article
in English
| MEDLINE | ID: mdl-35492025
14.
Hippocampal volume reduction is associated with direct measure of insulin resistance in adults.
Neurosci Res
; 174: 19-24, 2022 Jan.
Article
in English
| MEDLINE | ID: mdl-34352294
15.
Accelerated Global and Local Brain Aging Differentiate Cognitively Impaired From Cognitively Spared Patients With Schizophrenia.
Front Psychiatry
; 13: 913470, 2022.
Article
in English
| MEDLINE | ID: mdl-35815015
16.
A case report and first-person account of an individual at risk for psychosis who improved during the COVID-19 pandemic.
Psychosis
; 14(2): 190-199, 2022.
Article
in English
| MEDLINE | ID: mdl-36017476
17.
Construct validity for computational linguistic metrics in individuals at clinical risk for psychosis: Associations with clinical ratings.
Schizophr Res
; 245: 90-96, 2022 07.
Article
in English
| MEDLINE | ID: mdl-35094918
18.
A qualitative study on identity in individuals at clinical high risk for psychosis: " Why does it have to be one thing?".
Psychiatr Rehabil J
; 45(1): 44-53, 2022 Mar.
Article
in English
| MEDLINE | ID: mdl-34138610
19.
Evidence of discontinuity between psychosis-risk and non-clinical samples in the neuroanatomical correlates of social function.
Schizophr Res Cogn
; 29: 100252, 2022 Sep.
Article
in English
| MEDLINE | ID: mdl-35391789
20.
The impact of visual dysfunctions in recent-onset psychosis and clinical high-risk state for psychosis.
Neuropsychopharmacology
; 47(12): 2051-2060, 2022 11.
Article
in English
| MEDLINE | ID: mdl-35982238