Aralin 1Psychophysiology measures: heart rate variability (HRV) metrics, skin conductance response (SCR), respiratory measures, muscle EMGIpinapakilala ng seksyong ito ang mga pangunahing psychophysiological measures, na nagpapaliwanag kung paano ire-record, i-process, at i-interpret ang HRV, skin conductance, respiration, at EMG bilang indices ng autonomic balance, arousal, at emotional o cognitive states.
HRV metrics at autonomic balanceSCR amplitude, latency, at habituationRespiratory rate at depth measuresFacial at skeletal muscle EMG basicsSignal preprocessing para sa psychophysiologyAralin 2Signal quality, preprocessing, artifact detection at removal para sa physiological at neuroimaging dataNagdedetalye ang seksyong ito ng signal quality assessment at preprocessing para sa physiological at neuroimaging data, kabilang ang filtering, artifact detection, rejection versus correction, quality control metrics, at documentation para sa reproducible pipelines.
Signal-to-noise ratio at quality checksFiltering at baseline correctionEEG at EMG artifact detectionPhysiological noise sa MRI at fMRIArtifact rejection versus correctionAralin 3Peripheral autonomic sensors at wearable devices: ECG, PPG, actigraphy, ambulatory monitoring considerationsTumutuon ang seksyong ito sa peripheral at wearable sensing, kabilang ang ECG, PPG, actigraphy, at ambulatory monitoring, na tumutugon sa sensor placement, sampling, motion artifacts, battery limits, at ecological validity sa real-world data collection.
ECG acquisition at R-peak detectionPPG signals at pulse wave analysisActigraphy at sleep–wake estimationAmbulatory monitoring design issuesMotion artifacts at adherence challengesAralin 4Electroencephalography (EEG): signal origins, frequency bands, event-related potentials (ERPs), at spatial/temporal resolutionIpinapakilala ng seksyong ito ang EEG, na tumutukoy sa biophysical signal origins, electrode montages, frequency bands, event-related potentials, at spatial at temporal resolution, kasama ang basic preprocessing at common experimental paradigms.
Cortical generators ng EEG signalsElectrode placement at montagesCanonical EEG frequency bandsERP components at cognitive tasksEEG spatial at temporal resolutionAralin 5Endocrine measures: cortisol sampling (saliva, blood), diurnal rhythms, immunoassay basics at interpretationTumutukoy ang seksyong ito sa endocrine assessment sa biopsikolohiya, na nagbibigay-diin sa cortisol sampling mula saliva o blood, diurnal at stress-related rhythms, immunoassay principles, quality control, at interpretation sa experimental at clinical contexts.
Cortisol physiology at stress responseSaliva versus blood sampling protocolsDiurnal at ultradian cortisol rhythmsImmunoassay principles at standardsInterpreting cortisol sa contextAralin 6Multimodal integration: combining EEG + psychophysiology o fMRI + cortisol—synchronization at alignment issuesTumutukoy ang seksyong ito sa mga estratehiya para pagsamahin ang EEG, fMRI, at peripheral o hormonal measures, na tumutuon sa temporal alignment, spatial correspondence, synchronization hardware, at analytic approaches para sa truly integrated multimodal inference.
Rationale para sa multimodal measurementEEG plus autonomic signals integrationfMRI with cortisol o hormonesTemporal synchronization at triggersCoregistration at data fusion methodsAralin 7Limitations at confounds ng measurement methods (e.g., indirect measures, spatial/temporal tradeoffs, invasiveness)Sinusuri ng seksyong ito ang conceptual at practical limitations ng biopsychological measures, kabilang ang indirectness ng signals, spatial at temporal tradeoffs, invasiveness, motion at physiological confounds, at issues ng reliability at ecological validity.
Indirect neural at physiological indicesSpatial versus temporal resolution tradeoffsInvasiveness, burden, at safety issuesMotion, respiration, at cardiac confoundsReliability, validity, at generalizabilityAralin 8Basic statistics para sa biosignals: time-series analysis, spectral analysis, event detection, at summary metricsSumusuri ang seksyong ito ng essential statistics para sa biosignals, kabilang ang descriptive metrics, time-series modeling, spectral analysis, event detection, at handling nonstationarity, na naghahanda sa mga mag-aaral para sa robust, reproducible signal analyses.
Descriptive at summary signal metricsTime-domain models para sa biosignalsSpectral at time–frequency analysisEvent detection at peak pickingHandling nonstationarity at trendsAralin 9Functional magnetic resonance imaging (fMRI): BOLD physiology, experimental designs (block vs event-related), preprocessing stepsNagpapaliwanag ang seksyong ito ng fMRI measurement ng BOLD signals, na tumutukoy sa neurovascular coupling, block versus event-related designs, key acquisition parameters, at standard preprocessing pipelines na naghahanda ng data para sa statistical modeling at interpretation.
Neurovascular coupling at BOLD contrastBlock versus event-related paradigmsRepetition time, resolution, at coveragePreprocessing: motion at slice timingSpatial smoothing at normalizationAralin 10Structural MRI at diffusion MRI (DTI): gray matter morphometry, voxel-based morphometry, white matter tractography basicsIpinapakilala ng seksyong ito ang structural at diffusion MRI, na naglalarawan ng gray matter morphometry, voxel-based morphometry, diffusion tensor modeling, at tractography, at kung paano ang mga measures na ito ay nauugnay sa brain development, aging, at pathology.
T1-weighted anatomy at tissue contrastGray matter morphometry measuresVoxel-based morphometry workflowsDiffusion tensor metrics: FA at MDBasics ng white matter tractography
