nwbSessionParams.py 6.8 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129
  1. '''
  2. Session-specific NWB parameters
  3. Parameters that are different for different animals are:
  4. sessionID
  5. sessionDescription
  6. sessionNotes
  7. areas
  8. endCh
  9. probeInserted
  10. electrodeName
  11. nChannelsPerShank
  12. electrodeCoordinates
  13. electrodeImplantationType
  14. '''
  15. import numpy as np
  16. import datetime
  17. import os
  18. import h5py
  19. import re
  20. from localFunctions import electrodeLocations
  21. # General info
  22. sessionID = ['20200324161349']
  23. sessionDescription = ['anaesthesia']
  24. sessionNotes = ['Probe 1: X Y Z D 1064.7 0 3992.4 4113.9. Probe 2: X Y Z D 1061.7 0 3918.7 4113.9. Anaesthesia recording with 0.5% isoflurane, heater set to 43 degrees, and the temperature probe showing 37.8 degrees. Increased isoflurane to 0.75% at minute 21.']
  25. endCh = [[None] * 2 for i in range(len(sessionID))]
  26. endCh[0][0] = np.array([88, 117, 149, 342, 384]) # Corresponding probe end channels starting from the tip of the probe. Corresponding and previous end channels are used to work out probe channels that reside in the corresponding brain area.
  27. endCh[0][1] = np.array([41, 91, 138, 217, 304, 384])
  28. # Initialise variables
  29. sessionStartTime = [[None] for i in range(len(sessionID))]
  30. probeInserted = [[None] * 2 for i in range(len(sessionID))]
  31. electrodeName = [[None] * 2 for i in range(len(sessionID))]
  32. electrodeDescription = [[None] * 2 for i in range(len(sessionID))]
  33. electrodeManufacturer = [[None] * 2 for i in range(len(sessionID))]
  34. electrodeFolder = [[None] * 2 for i in range(len(sessionID))]
  35. nShanks = [[None] * 2 for i in range(len(sessionID))]
  36. nChannelsPerShank = [[None] * 2 for i in range(len(sessionID))]
  37. nCh = [[None] * 2 for i in range(len(sessionID))]
  38. electrodeLocation = [[None] * 2 for i in range(len(sessionID))]
  39. electrodeCoordinates = [[None] * 2 for i in range(len(sessionID))]
  40. electrodeLabel = [[None] * 2 for i in range(len(sessionID))]
  41. electrodeImplantationType = [[None] * 2 for i in range(len(sessionID))]
  42. # Probes info
  43. for iSess in range(len(sessionID)):
  44. sessionStartTime[iSess] = datetime.datetime(int(sessionID[iSess][0:4]), int(sessionID[iSess][4:6]), int(sessionID[iSess][6:8]), \
  45. int(sessionID[iSess][8:10]), int(sessionID[iSess][10:12]), int(sessionID[iSess][12:14]))
  46. # Probe #1 info
  47. ref = 0 # probe reference
  48. probeInserted[iSess][ref] = True # If the probe used at all
  49. if probeInserted[iSess][ref] and endCh[iSess][ref].any():
  50. electrodeName[iSess][ref] = 'Neuropixels 1.0'
  51. electrodeDescription[iSess][ref] = 'Single shank high density probe in position ' + str(ref+1)
  52. electrodeManufacturer[iSess][ref] = 'imec'
  53. electrodeFolder[iSess][ref] = os.path.join(animalRawDataFolder, sessionID[iSess] + '1')
  54. if not os.path.isdir(electrodeFolder[iSess][ref]): # in case a probe is missing
  55. electrodeFolder[iSess][ref] = os.path.normpath(electrodeFolder[iSess][ref][0:-1])
  56. if re.search('neuropixels', electrodeName[iSess][ref], re.IGNORECASE):
  57. electrodeMap = os.path.join(electrodeFolder[iSess][ref], 'forPRB_Neuropixels.mat')
  58. else:
  59. electrodeMap = os.path.join(electrodeFolder[iSess][ref], 'forPRB_' + electrodeName[iSess][ref] + '.mat')
  60. nShanks[iSess][ref] = 1
  61. nChannelsPerShank[iSess][ref] = 384
  62. nCh[iSess][ref] = nChannelsPerShank[iSess][ref]*nShanks[iSess][ref] # total number of probe channels
  63. areas = ['VB','LP','LGN','CA3','S1'] # brain areas that this probe spans
  64. electrodeLocation[iSess][ref] = electrodeLocations(areas, endCh[iSess][ref], nCh[iSess][ref]) # Brain area assigned to each recording channel.
  65. electrodeCoordinates[iSess][ref] = [-1.8, -2.5, 0] # Electrode insertion location on the cortical surface in Paxinos coords: AP (posterior negative), ML (left negative), DV (recording site position starting with the tip of the probe.
  66. electrodeCoordinates[iSess][ref] = [electrodeCoordinates[iSess][ref]] * nCh[iSess][ref] # Coordinates of each probe recording channel (the probe rotation angle is not taken into account). Y coordinates are relative to the tip of the probe.
  67. f = h5py.File(electrodeMap,'r')
  68. ycoords = np.array(f.get('ycoords'))/1000
  69. electrodeLabel[iSess][ref] = 'probe' + str(ref+1)
  70. electrodeImplantationType[iSess][ref] = 'acute'
  71. else: # The case when the probe #1 is missing
  72. probeInserted[iSess][ref] = False
  73. electrodeName[iSess][ref] = []
  74. electrodeDescription[iSess][ref] = []
  75. electrodeManufacturer[iSess][ref] = []
  76. electrodeFolder[iSess][ref] = []
  77. nShanks[iSess][ref] = []
  78. nChannelsPerShank[iSess][ref] = []
  79. nCh[iSess][ref] = []
  80. electrodeLocation[iSess][ref] = []
  81. electrodeCoordinates[iSess][ref] = []
  82. electrodeLabel[iSess][ref] = []
  83. electrodeImplantationType[iSess][ref] = []
  84. # Probe #2 info
  85. ref = 1 # probe reference
  86. probeInserted[iSess][ref] = True # If the probe used at all
  87. if probeInserted[iSess][ref] and endCh[iSess][ref].any():
  88. electrodeName[iSess][ref] = 'Neuropixels 1.0'
  89. electrodeDescription[iSess][ref] = 'Single shank high density probe in position ' + str(ref+1)
  90. electrodeManufacturer[iSess][ref] = 'imec'
  91. electrodeFolder[iSess][ref] = os.path.join(animalRawDataFolder, sessionID[iSess] + '26')
  92. if not os.path.isdir(electrodeFolder[iSess][ref]) or len(os.listdir(electrodeFolder[iSess][ref])) <= 0: # in case the raw data folder name is shorter
  93. electrodeFolder[iSess][ref] = os.path.normpath(electrodeFolder[iSess][ref][0:-1])
  94. if not os.path.isdir(electrodeFolder[iSess][ref]): # in case a probe is missing
  95. electrodeFolder[iSess][ref] = os.path.normpath(electrodeFolder[iSess][ref][0:-1])
  96. if re.search('neuropixels', electrodeName[iSess][ref], re.IGNORECASE):
  97. electrodeMap = os.path.join(electrodeFolder[iSess][ref], 'forPRB_Neuropixels.mat')
  98. else:
  99. electrodeMap = os.path.join(electrodeFolder[iSess][ref], 'forPRB_' + electrodeName[iSess][ref] + '.mat')
  100. nShanks[iSess][ref] = 1
  101. nChannelsPerShank[iSess][ref] = 384
  102. nCh[iSess][ref] = nChannelsPerShank[iSess][ref]*nShanks[iSess][ref]
  103. areas = ['VB','Po','LP','DG','CA1','RSC']
  104. electrodeLocation[iSess][ref] = electrodeLocations(areas, endCh[iSess][ref], nCh[iSess][ref])
  105. electrodeCoordinates[iSess][ref] = [-1.8, -0.5, 0]
  106. electrodeCoordinates[iSess][ref] = [electrodeCoordinates[iSess][ref]] * nCh[iSess][ref]
  107. f = h5py.File(electrodeMap,'r')
  108. ycoords = np.array(f.get('ycoords'))/1000
  109. electrodeLabel[iSess][ref] = 'probe' + str(ref+1)
  110. electrodeImplantationType[iSess][ref] = 'acute'
  111. else: # The case when the probe #2 is missing
  112. probeInserted[iSess][ref] = False
  113. electrodeName[iSess][ref] = []
  114. electrodeDescription[iSess][ref] = []
  115. electrodeManufacturer[iSess][ref] = []
  116. electrodeFolder[iSess][ref] = []
  117. nShanks[iSess][ref] = []
  118. nChannelsPerShank[iSess][ref] = []
  119. nCh[iSess][ref] = []
  120. electrodeLocation[iSess][ref] = []
  121. electrodeCoordinates[iSess][ref] = []
  122. electrodeLabel[iSess][ref] = []
  123. electrodeImplantationType[iSess][ref] = []