Abstract Class: EnhancedDenseNeuroVec<TArray, TVol>

Defined in: src/vec/EnhancedNeuroVec.ts:17

Enhanced abstract class for dense 4D neuroimaging data with time series operations

Extends

• DenseNeuroVec<TArray, TVol>

Extended by

• EnhancedFloat32NeuroVec

Type Parameters

TArray

TArray extends TypedArray

TVol

TVol extends NeuroVol

Implements

• INeuroVec

Constructors

Constructor

new EnhancedDenseNeuroVec<TArray, TVol>(space, data?): EnhancedDenseNeuroVec<TArray, TVol>;

Defined in: src/vec/NeuroVec.ts:33

Parameters

space

NeuroSpace

data?

TArray

Returns

EnhancedDenseNeuroVec<TArray, TVol>

Inherited from

DenseNeuroVec.constructor

Properties

space

readonly space: NeuroSpace;

Defined in: src/vec/NeuroVec.ts:30

Implementation of

INeuroVec.space

Inherited from

DenseNeuroVec.space

Accessors

length

Get Signature

get length(): number;

Defined in: src/vec/NeuroVec.ts:44

Returns

number

Implementation of

INeuroVec.length

Inherited from

DenseNeuroVec.length

---

dim

Get Signature

get dim(): number[];

Defined in: src/vec/NeuroVec.ts:48

Returns

number[]

Implementation of

INeuroVec.dim

Inherited from

DenseNeuroVec.dim

---

spacing

Get Signature

get spacing(): number[];

Defined in: src/vec/NeuroVec.ts:52

Returns

number[]

Implementation of

INeuroVec.spacing

Inherited from

DenseNeuroVec.spacing

---

origin

Get Signature

get origin(): number[];

Defined in: src/vec/NeuroVec.ts:56

Returns

number[]

Implementation of

INeuroVec.origin

Inherited from

DenseNeuroVec.origin

Methods

getTimeSeries()

getTimeSeries(
   i, 
   j, 
   k): Float32Array;

Defined in: src/vec/EnhancedNeuroVec.ts:24

Get time series as Float32Array for efficient operations

Parameters

i

number

j

number

k

number

Returns

Float32Array

Implementation of

INeuroVec.getTimeSeries

---

setTimeSeries()

setTimeSeries(
   i, 
   j, 
   k, 
   data): void;

Defined in: src/vec/EnhancedNeuroVec.ts:32

Set time series data for a voxel

Parameters

i

number

j

number

k

number

data

Float32Array

Returns

void

Implementation of

INeuroVec.setTimeSeries

---

detrend()

detrend(method, options?): INeuroVec;

Defined in: src/vec/EnhancedNeuroVec.ts:46

Detrend the time series data

Parameters

method

DetrendMethod

options?

order?

number

Returns

INeuroVec

Implementation of

INeuroVec.detrend

---

temporalFilter()

temporalFilter(filter): INeuroVec;

Defined in: src/vec/EnhancedNeuroVec.ts:66

Apply temporal filter to the data

Parameters

filter

TemporalFilter

Returns

INeuroVec

Implementation of

INeuroVec.temporalFilter

---

convolve()

convolve(kernel): INeuroVec;

Defined in: src/vec/EnhancedNeuroVec.ts:87

Convolve time series with a kernel

Parameters

kernel

number[]

Returns

INeuroVec

Implementation of

INeuroVec.convolve

---

temporalSmooth()

temporalSmooth(sigma): INeuroVec;

Defined in: src/vec/EnhancedNeuroVec.ts:107

Apply temporal smoothing with Gaussian kernel

Parameters

sigma

number

Returns

INeuroVec

Implementation of

INeuroVec.temporalSmooth

---

temporalMean()

temporalMean(): NeuroVol;

Defined in: src/vec/EnhancedNeuroVec.ts:115

Calculate temporal mean across time

Returns

NeuroVol

Implementation of

INeuroVec.temporalMean

---

temporalStd()

temporalStd(): NeuroVol;

Defined in: src/vec/EnhancedNeuroVec.ts:142

Calculate temporal standard deviation

Returns

NeuroVol

Implementation of

INeuroVec.temporalStd

---

temporalMin()

temporalMin(): NeuroVol;

Defined in: src/vec/EnhancedNeuroVec.ts:169

Calculate temporal minimum

Returns

NeuroVol

Implementation of

INeuroVec.temporalMin

---

temporalMax()

temporalMax(): NeuroVol;

Defined in: src/vec/EnhancedNeuroVec.ts:176

Calculate temporal maximum

Returns

NeuroVol

Implementation of

INeuroVec.temporalMax

---

temporalMedian()

temporalMedian(): NeuroVol;

Defined in: src/vec/EnhancedNeuroVec.ts:183

Calculate temporal median

Returns

NeuroVol

Implementation of

INeuroVec.temporalMedian

---

temporalCorrelation()

temporalCorrelation(seed): NeuroVol;

Defined in: src/vec/EnhancedNeuroVec.ts:190

Calculate temporal correlation with a seed voxel

Parameters

seed

[number, number, number]

Returns

NeuroVol

Implementation of

INeuroVec.temporalCorrelation

---

temporalCorrelationMap()

temporalCorrelationMap(seedVol): INeuroVec;

Defined in: src/vec/EnhancedNeuroVec.ts:222

Calculate correlation map for multiple seeds

Parameters

seedVol

NeuroVol

Returns

INeuroVec

Implementation of

INeuroVec.temporalCorrelationMap

---

zscore()

zscore(): INeuroVec;

Defined in: src/vec/EnhancedNeuroVec.ts:229

Z-score normalize the time series

Returns

INeuroVec

Implementation of

INeuroVec.zscore

---

percentSignalChange()

percentSignalChange(baseline?): INeuroVec;

Defined in: src/vec/EnhancedNeuroVec.ts:254

Calculate percent signal change

Parameters

baseline?

number[]

Returns

INeuroVec

Implementation of

INeuroVec.percentSignalChange

---

clone()

abstract clone(): INeuroVec;

Defined in: src/vec/EnhancedNeuroVec.ts:284

Clone the NeuroVec

Returns

INeuroVec

Implementation of

INeuroVec.clone

---

slice()

slice(startTime, endTime): INeuroVec;

Defined in: src/vec/EnhancedNeuroVec.ts:289

Extract a time slice

Parameters

startTime

number

endTime

number

Returns

INeuroVec

Implementation of

INeuroVec.slice

---

concatenate()

concatenate(other): INeuroVec;

Defined in: src/vec/EnhancedNeuroVec.ts:323

Concatenate with another NeuroVec

Parameters

other

INeuroVec

Returns

INeuroVec

Implementation of

INeuroVec.concatenate

---

getData()

getData(): TArray;

Defined in: src/vec/NeuroVec.ts:60

Returns

TArray

Implementation of

INeuroVec.getData

Inherited from

DenseNeuroVec.getData

---

getAt()

getAt(
   i, 
   j, 
   k, 
   t): number;

Defined in: src/vec/NeuroVec.ts:64

Parameters

i

number

j

number

k

number

t

number

Returns

number

Implementation of

INeuroVec.getAt

Inherited from

DenseNeuroVec.getAt

---

setAt()

setAt(
   i, 
   j, 
   k, 
   t, 
   value): void;

Defined in: src/vec/NeuroVec.ts:69

Parameters

i

number

j

number

k

number

t

number

value

number

Returns

void

Implementation of

INeuroVec.setAt

Inherited from

DenseNeuroVec.setAt

---

getSeries()

getSeries(
   i, 
   j, 
   k): number[];

Defined in: src/vec/NeuroVec.ts:77

Retrieves the time series at voxel (i, j, k).

Parameters

i

number

j

number

k

number

Returns

number[]

Implementation of

INeuroVec.getSeries

Inherited from

DenseNeuroVec.getSeries

---

getVolume()

getVolume(t): TVol;

Defined in: src/vec/NeuroVec.ts:96

Retrieves the volume at time t.

Parameters

t

number

Returns

TVol

Implementation of

INeuroVec.getVolume

Inherited from

DenseNeuroVec.getVolume

---

getRange()

getRange(): [number, number];

Defined in: src/vec/NeuroVec.ts:118

Returns the minimum and maximum values across all data.

Returns

[number, number]

Implementation of

INeuroVec.getRange

Inherited from

DenseNeuroVec.getRange