TCA

TCA identifies gene signatures by correlating fMRI-derived functional connectomes with region-specific transcriptomes to reveal age-specific molecular patterns in the human cerebral cortex.

Key Features:

• Integration of multimodal data: Correlates fMRI-derived functional connectome data with region-specific transcriptomic profiles from the human cerebral cortex.
• Age-specific gene signatures (ASC): Identifies distinct gene signatures associated with adolescence, early adulthood, and late adulthood.
• Structural correlations: Links ASC gene signatures with cortical thickness (P-value < 2.00e-3) and myelination (P-value < 1.00e-3).
• Statistical validation: Validates findings by comparison with published gene sets associated with adult cortical function.
• Neuropsychiatric regulatory interactions: Highlights regulatory interactions such as ARNT2 and ETF1 implicated in schizophrenia.

Scientific Applications:

• Developmental neurobiology: Elucidates molecular mechanisms underlying age-specific cortical changes across adolescence, early adulthood, and late adulthood.
• Structure–function genomics: Links regional gene expression to functional connectivity and structural measures including cortical thickness and myelination.
• Neuropsychiatric research: Investigates molecular mechanisms and regulatory interactions relevant to disorders such as schizophrenia.
• Comparative genomics: Assesses relevance of identified gene signatures through comparison with published adult cortical gene sets.

Methodology:

Integrates fMRI-derived functional connectome data with region-specific cortical transcriptomes, identifies age-specific gene signatures correlated with functional connectivity and with cortical thickness and myelination (reported P-values: cortical thickness < 2.00e-3, myelination < 1.00e-3), compares signatures with published gene sets, and identifies regulatory interactions such as ARNT2–ETF1 in schizophrenia.