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1.
Fibre density and fibre-bundle cross-section of the corticospinal tract are distinctly linked to psychosis-specific symptoms in antipsychotic-naïve patients with first-episode schizophrenia.
Eur Arch Psychiatry Clin Neurosci
; 273(8): 1797-1812, 2023 Dec.
Article
in English
| MEDLINE | ID: mdl-37012463
2.
Clustering of antipsychotic-naïve patients with schizophrenia based on functional connectivity from resting-state electroencephalography.
Eur Arch Psychiatry Clin Neurosci
; 273(8): 1785-1796, 2023 Dec.
Article
in English
| MEDLINE | ID: mdl-36729135
3.
Using connectomics for predictive assessment of brain parcellations.
Neuroimage
; 238: 118170, 2021 09.
Article
in English
| MEDLINE | ID: mdl-34087365
4.
On the cortical connectivity in the macaque brain: A comparison of diffusion tractography and histological tracing data.
Neuroimage
; 221: 117201, 2020 11 01.
Article
in English
| MEDLINE | ID: mdl-32739552
5.
Validation of structural brain connectivity networks: The impact of scanning parameters.
Neuroimage
; 204: 116207, 2020 01 01.
Article
in English
| MEDLINE | ID: mdl-31539592
6.
Dopamine Synthesis Capacity and GABA and Glutamate Levels Separate Antipsychotic-Naïve Patients With First-Episode Psychosis From Healthy Control Subjects in a Multimodal Prediction Model.
Biol Psychiatry Glob Open Sci
; 3(3): 500-509, 2023 Jul.
Article
in English
| MEDLINE | ID: mdl-37519478
7.
Influence of psychopathology and metabolic parameters on quality of life in patients with first-episode psychosis before and after initial antipsychotic treatment.
Schizophrenia (Heidelb)
; 9(1): 76, 2023 Nov 07.
Article
in English
| MEDLINE | ID: mdl-37935717
8.
Cortico-cognition coupling in treatment resistant schizophrenia.
Neuroimage Clin
; 35: 103064, 2022.
Article
in English
| MEDLINE | ID: mdl-35689976
9.
Prediction of Early Symptom Remission in Two Independent Samples of First-Episode Psychosis Patients Using Machine Learning.
Schizophr Bull
; 48(1): 122-133, 2022 01 21.
Article
in English
| MEDLINE | ID: mdl-34535800
10.
A machine-learning framework for robust and reliable prediction of short- and long-term treatment response in initially antipsychotic-naïve schizophrenia patients based on multimodal neuropsychiatric data.
Transl Psychiatry
; 10(1): 276, 2020 08 10.
Article
in English
| MEDLINE | ID: mdl-32778656
11.
Corrigendum to: Prediction of Early Symptom Remission in Two Independent Samples of First-Episode Psychosis Patients Using Machine Learning.
Schizophr Bull
; 48(1): 283, 2022 Jan 21.
Article
in English
| MEDLINE | ID: mdl-34636398
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