Martin Alda

This study identifies biomarkers in the neuronal secretome of bipolar disorder patients that correlate with disease state and lithium response, revealing their impact on neuronal network function.

This study identifies 77 genetic loci associated with suicidality through genome-wide association analyses across multiple cohorts and provides biological insights into its genetic architecture.

This study uses a computational model of the dentate gyrus to show that lithium therapy improves pattern separation in bipolar disorder patients only by normalizing spontaneous activity, not by reducing cell excitability.

This study compares lithium-responsive and non-responsive bipolar disorder patients' GABAergic neurons, showing divergent excitability that drives network state shifts, potentially linked to mood episodes.

The paper identifies novel CNV loci and dose-dependent gene effects across six psychiatric disorders using genome-wide analysis.

The paper identifies shared and divergent genetic mechanisms across psychiatric disorders using gene-set burden analysis of copy number variants.

This study shows lithium partially rescues transcriptomic and epigenomic changes in AKAP11 heterozygous knockout neurons, suggesting potential therapeutic relevance for bipolar disorder and schizophrenia.

This paper uses a computational model of the hippocampal CA3 to show that excitability variance in pyramidal cells impairs pattern completion in lithium nonresponsive bipolar disorder patients.

This paper identifies genetic signatures in lymphoblastoid cell lines associated with suicide risk in bipolar disorder patients using RNA sequencing and machine learning.

The paper identifies molecular signatures of neuronal hyperexcitability and lithium responsiveness in bipolar disorder neurons, suggesting new therapeutic strategies targeting Akt and AMPK pathways.

This study investigates transcriptomic and epigenomic changes in human neurons with heterozygous AKAP11 loss-of-function mutations, revealing dysregulation of enhancers and gene networks linked to bipolar disorder and schizophrenia.

The paper demonstrates a data harmonization process for memory testing across 53 studies, reducing inter-site variance while preserving covariate effects.

The paper uses information theory features to improve SVM classification of lithium response in bipolar disorder patients, achieving 99% accuracy in distinguishing responders from non-responders.

This study identifies genetic loci associated with suicide attempts and shows shared genetic architecture with psychiatric disorders and non-psychiatric risk factors.

This study shows chronic lithium treatment reduces neuronal excitability and shifts the excitatory/inhibitory balance toward inhibition in mouse cortical neurons.

This study shows that bipolar disorder patient-derived neurons exhibit circadian rhythm abnormalities, with lithium non-responders showing more severe deficits that can be partially reversed by temperature entrainment.

The paper examines sex-differentiated genetic effects across neuropsychiatric and behavioral traits using GWAS summary statistics and finds small, polygenic sex differences with enriched neuron-related genes.

This paper examines brain aging in major depressive disorder (MDD) using a large dataset, finding that MDD patients show increased brain age differences compared to controls.

This paper conducts a GWAS on suicide attempt across psychiatric disorders, identifying genetic loci and showing polygenic risk for major depression predicts suicide attempt in multiple disorders.

This study identifies 114 genome-wide significant loci for schizophrenia and bipolar disorder, with specific subphenotype associations and four genes distinguishing the disorders.