Struct BrainGraphConstructor 

pub struct BrainGraphConstructor { /* private fields */ }

Constructs brain connectivity graphs from matrices or time series data.

Implementations

impl BrainGraphConstructor

pub fn new( atlas: AtlasType, metric: ConnectivityMetric, band: FrequencyBand, ) -> Self

Create a new constructor with default window parameters.

pub fn with_threshold(self, threshold: f64) -> Self

Set the edge weight threshold. Edges with weight below this are excluded.

pub fn with_window_duration(self, duration_s: f64) -> Self

Set the sliding window duration in seconds.

pub fn with_window_step(self, step_s: f64) -> Self

Set the sliding window step in seconds.

pub fn construct_from_matrix( &self, connectivity: &[Vec<f64>], timestamp: f64, ) -> BrainGraph

Construct a brain graph from a pre-computed connectivity matrix.

The matrix should be n x n where n matches the number of atlas regions. The matrix is treated as symmetric; only the upper triangle is read.

pub fn construct_sequence( &self, data: &MultiChannelTimeSeries, ) -> BrainGraphSequence

Construct a sequence of brain graphs from multi-channel time series using a sliding window approach.

For each window, computes pairwise Pearson correlation as connectivity, then builds a graph with thresholding applied.

Trait Implementations

impl GraphConstructor for BrainGraphConstructor

fn construct(&self, signals: &MultiChannelTimeSeries) -> Result<BrainGraph>

Construct a brain graph from multi-channel time series data.