426
Index
BRACCIA, 6, 361ff
Brain dynamics, 29, 334, 345–349, 351
Brain network, 5, 30, 31, 180, 181, 329–335,
337, 338, 348
Brain networks, macroscale and microscale,
335, 336
Brain network, modularity, 334
Brain network, morphology, 5, 316, 329,
331, 334, 336, 337
Brain resilience, 352
Brainwaves, 11, 175, 176, 179–181, 183–
185, 311
Breathing, 5, 86, 165, 281–288, 294, 312,
315, 316, 318–324, 416
Brownian bridge, 114, 118–120
C
Cancer cells, 4, 245–255
Capillary, 262, 265, 267, 268, 273–276, 278,
293, 385–389, 394
Carbon dioxide, 165, 215, 267, 268
Cardio-pulmonary coupling, 319, 321
Cardio-respiratory system, 165, 167, 168,
311, 313, 314
Cardiovascular disease, 282, 291–293
Cell division, 227, 231, 233, 234
Central sleep apnœa, 313, 315, 321, 322
Cervical cancer, 4, 246, 248, 251, 254, 255
Chaotic dynamics, 237
Chronotaxic systems, 71, 72, 86, 114, 229
Circadian rhythms, 4, 231, 233, 311, 316,
350
Cl - conductance and vasomotion, 264, 265
Clock, circadian, 231
Clock, ultradian, 231
Computational modelling, 335, 351
Connectome, 337, 338
Control, feedback, 12, 232
Controllability of epileptic brain, 352
Cortex, cerebral, 45, 178, 182, 277, 332–337,
362, 375
Coupling function, 4, 20–23, 31, 34, 87, 107,
114, 175–185, 193, 202, 203, 367,
368
Crabtree effect, 247, 248
Critical exponent, 131, 132, 134, 135, 139,
141–146, 148
Cross-frequency coupling, 175, 181, 185,
367, 368
Cycle, catalytic, 136, 137
Cycle, chemical, 138, 226
Cytosolic oscillator, 246, 264, 265
D
DAN probes, 215, 217
Data analysis, 30, 195, 284, 403
Deep controlled breathing, 281, 282
Delay embedding, 196, 197, 303
Demodulation, 191, 194, 198, 205
Derivative embedding, 196
Detrended fluctuation analysis, 317
Dichotomous noise, 99
Dimension reduction, 76–78, 82
Dissipative structure, 143, 144, 148
Diurnal rhythm, 1
Domain wall, 23
Driving, periodic, 94, 95, 97, 98, 100, 107
Driving, time-varying, 3, 93, 94, 98, 99,
100–107
Dynamical Bayesian inference, 182, 184,
367
Dynamical system, 1, 2, 7, 11, 14, 15, 24,
25, 33, 39, 55–57, 59, 69, 71–74, 77–
79, 86–91, 111–115, 126, 127, 143,
163, 175–177, 179, 180, 185, 192,
205, 206, 211, 423
Dynamical system, autonomous, 2–4, 55–
64, 69, 71, 72, 76, 77, 79–82, 86,
88–92, 97, 112–115, 121–123, 126,
163–165, 168, 169, 173, 193, 194
Dynamical system, non-autonomous, 1–7,
71, 74–78, 80, 81, 85, 86–92, 97, 99,
111, 113–119, 126, 163–165, 167–
170, 173, 229, 401, 403, 423, 424
Dynamics, finite time, 3, 87, 92, 107, 112–
127, 408, 423
E
Effort to compress, 292, 297, 298, 301
Ehrlich ascites tumour, 246, 255
Electrocardiogram (ECG), 5, 6, 311–316,
318, 319, 323, 324, 361, 366–368,
376, 401, 405, 407, 412–416
Electroencephalogram (EEG), 4–6, 30, 179–
182, 303, 311–315, 323, 345, 347,
349–351, 361, 364–368, 371–380
Embedding, 4, 191, 192, 194, 196–201, 204,
205, 303
Energetics of cells, 226
Enforced breathing, 282
Entrainment, 2, 11, 19–21, 23–25, 95, 237,
264, 265
Entropy, 3, 4, 7, 133, 138, 143–145, 177,
211, 212, 219, 220, 227, 230, 292,
293, 296–302, 347, 375, 376, 423
Entropy production, 7, 131, 144, 219, 423
Index
BRACCIA, 6, 361ff
Brain dynamics, 29, 334, 345–349, 351
Brain network, 5, 30, 31, 180, 181, 329–335,
337, 338, 348
Brain networks, macroscale and microscale,
335, 336
Brain network, modularity, 334
Brain network, morphology, 5, 316, 329,
331, 334, 336, 337
Brain resilience, 352
Brainwaves, 11, 175, 176, 179–181, 183–
185, 311
Breathing, 5, 86, 165, 281–288, 294, 312,
315, 316, 318–324, 416
Brownian bridge, 114, 118–120
C
Cancer cells, 4, 245–255
Capillary, 262, 265, 267, 268, 273–276, 278,
293, 385–389, 394
Carbon dioxide, 165, 215, 267, 268
Cardio-pulmonary coupling, 319, 321
Cardio-respiratory system, 165, 167, 168,
311, 313, 314
Cardiovascular disease, 282, 291–293
Cell division, 227, 231, 233, 234
Central sleep apnœa, 313, 315, 321, 322
Cervical cancer, 4, 246, 248, 251, 254, 255
Chaotic dynamics, 237
Chronotaxic systems, 71, 72, 86, 114, 229
Circadian rhythms, 4, 231, 233, 311, 316,
350
Cl - conductance and vasomotion, 264, 265
Clock, circadian, 231
Clock, ultradian, 231
Computational modelling, 335, 351
Connectome, 337, 338
Control, feedback, 12, 232
Controllability of epileptic brain, 352
Cortex, cerebral, 45, 178, 182, 277, 332–337,
362, 375
Coupling function, 4, 20–23, 31, 34, 87, 107,
114, 175–185, 193, 202, 203, 367,
368
Crabtree effect, 247, 248
Critical exponent, 131, 132, 134, 135, 139,
141–146, 148
Cross-frequency coupling, 175, 181, 185,
367, 368
Cycle, catalytic, 136, 137
Cycle, chemical, 138, 226
Cytosolic oscillator, 246, 264, 265
D
DAN probes, 215, 217
Data analysis, 30, 195, 284, 403
Deep controlled breathing, 281, 282
Delay embedding, 196, 197, 303
Demodulation, 191, 194, 198, 205
Derivative embedding, 196
Detrended fluctuation analysis, 317
Dichotomous noise, 99
Dimension reduction, 76–78, 82
Dissipative structure, 143, 144, 148
Diurnal rhythm, 1
Domain wall, 23
Driving, periodic, 94, 95, 97, 98, 100, 107
Driving, time-varying, 3, 93, 94, 98, 99,
100–107
Dynamical Bayesian inference, 182, 184,
367
Dynamical system, 1, 2, 7, 11, 14, 15, 24,
25, 33, 39, 55–57, 59, 69, 71–74, 77–
79, 86–91, 111–115, 126, 127, 143,
163, 175–177, 179, 180, 185, 192,
205, 206, 211, 423
Dynamical system, autonomous, 2–4, 55–
64, 69, 71, 72, 76, 77, 79–82, 86,
88–92, 97, 112–115, 121–123, 126,
163–165, 168, 169, 173, 193, 194
Dynamical system, non-autonomous, 1–7,
71, 74–78, 80, 81, 85, 86–92, 97, 99,
111, 113–119, 126, 163–165, 167–
170, 173, 229, 401, 403, 423, 424
Dynamics, finite time, 3, 87, 92, 107, 112–
127, 408, 423
E
Effort to compress, 292, 297, 298, 301
Ehrlich ascites tumour, 246, 255
Electrocardiogram (ECG), 5, 6, 311–316,
318, 319, 323, 324, 361, 366–368,
376, 401, 405, 407, 412–416
Electroencephalogram (EEG), 4–6, 30, 179–
182, 303, 311–315, 323, 345, 347,
349–351, 361, 364–368, 371–380
Embedding, 4, 191, 192, 194, 196–201, 204,
205, 303
Energetics of cells, 226
Enforced breathing, 282
Entrainment, 2, 11, 19–21, 23–25, 95, 237,
264, 265
Entropy, 3, 4, 7, 133, 138, 143–145, 177,
211, 212, 219, 220, 227, 230, 292,
293, 296–302, 347, 375, 376, 423
Entropy production, 7, 131, 144, 219, 423